You Know Content Strategy Matters. But Are You Still Doing It the Hard Way?
Source
You already know that a strong content strategy is the backbone of a successful online course. You understand that planning what to teach, how to teach it, and how to keep learners engaged is what makes or breaks enrollments.
But here’s the real question.
Are you still doing it all manually?
Because if you are, you might be limiting your course’s potential without realizing it.
Many experienced course creators are making the shift toward AI in eLearning not because they lack skills, but because they value efficiency, deeper insights, and a smoother path to results. Technology aided planning makes measuring success easier.
65% of undergraduate students in the U.S. believe that AI will improve how students learn rather than having negative consequences on learning.
This article breaks down the return on investment when comparing traditional manual course creation with an AI-powered content strategy. If you are already aware of what a good strategy looks like, this is your next step to leveling up.
The Problem with Sticking to Manual Content Planning
Relying on manual methods for eLearning content planning often leads to missed opportunities and human errors. Without AI support, effective lesson planning can become time-consuming and depersonalized. In this section, we will discuss why manual course content strategies are no longer recommended.
Let's be honest: creating courses manually requires more than just effort; it demands significant time, energy, and cognitive load. You are likely already doing everything right—outlining learning outcomes, structuring your modules, and researching learner interests.
However, when everything is done by hand, the process can become slow, disorganized, and challenging to scale and it can ultimately have a negative impact on your return on investment (ROI).
Many course creators who work manually tend to make the following common mistakes:
1. Focusing on Showing Expertise: Manual course creation often leads to procrastination and a misunderstanding of learners' intents. Course creators can become too focused on showcasing their expertise, which may cause them to lose sight of the course objectives.
They might forget who the target audience is and use overly complicated language and technical terms, even when addressing beginner-level learners. It’s essential to maintain a manageable difficulty level that aligns with the needs of the target audience.
Source
2. Being Too Personal with Storytelling: Some eLearning course creators may lose track of appropriate storytelling boundaries while explaining concepts.
While storytelling can enhance the connection with learners, it’s important to retain a sense of professionalism when delivering course content. Material should never be so overwhelming that it becomes difficult for learners to digest.
3. Overly Theoretical Courses Lacking Real-Life Examples: Course creators sometimes focus excessively on theoretical information, neglecting to incorporate real-life case studies or interactive elements like quizzes and group projects.
Manually crafting interactive components can be time-consuming, making the use of AI tools to simplify these tasks crucial to avoiding unnecessary hassle.
4. Going Off on Tangents: Crafting course content manually can lead to distractions and the inclusion of unnecessary topics, detracting from the core focus that is truly beneficial for learners.
It’s essential to adhere to the original course objectives. However, additional content can be placed in a resources section for learners seeking more advanced information.
Source
5. Time Constraint: Developing content manually can take hours, days, or even months to complete. This is because manual research involves sifting through a large amount of data before creating an effective plan. In today’s tech-driven world, time is of the essence.
It is not advisable to spend time on tasks that other course creators are able to accomplish in minutes using AI tools. Smart content course planning can save you days or even months of work.
Consider using this tool to effectively plan your online course and avoid the difficulties of manual planning.
Look at how it expertly tailors course content to align with your offerings and meet the needs of your target learners.
Why Skilled Creators Are Adopting AI in eLearning:
With the rise of intelligent tools, many professionals are rethinking how they approach eLearning content development. AI acts as a smart curriculum builder, helping educators focus on engagement while automating repetitive tasks. In this section, we will discuss how artificial intelligence has transformed eLearning content planning as a whole.
You may have considered using AI to support your content planning, or even tested a few tools. However, here's the reality:
AI in eLearning is no longer experimental; it has become an essential support system for creators seeking to enhance efficiency without sacrificing quality. AI can help you with everything from planning course content to promoting your course. If you are already familiar with the solutions available, this is an opportunity to make your process more scalable, consistent, and profitable.
What AI Offers to eLearning Creators:
In this section, we’ll use the example of an online course called “How to Grow Healthy Orchids at Home” to walk through how AI simplifies online course creation. Whether you’re building your first course or refining an existing one, this real-world example will help bring each point to life.
Precision Over Guesswork: AI accurately identifies what learners want by analyzing search trends and behaviors, allowing you to create content that aligns with their intentions. It can curate personalized learning paths for each learner, making the course feel uniquely tailored to them.
By incorporating mid-course feedback alongside AI, courses can be refined to meet specific learner needs, leading to a more engaging experience.
For instance, in the orchid course, you might initially think that the best place to begin is by teaching potting techniques or discussing the ideal lighting for an orchid plant.
However, AI can reveal that learners are looking for assistance with issues like yellowing leaves or how to keep orchids alive during the winter. By restructuring the course to address these specific needs first, you can immediately connect with what your learners are seeking.
Incorporating mid-course feedback and AI assistance can help refine the course to meet learners' needs better, resulting in a more engaging experience.
For instance, if learners in the orchid course are dropping off during the repotting module, AI can detect this and suggest that you clarify instructions or include a short how-to video. These small adjustments can help keep learners engaged and encourage them to progress through the course.
Scalability: AI can manage routine tasks in course content creation, such as developing a structured course plan based on the learner personas you provide. Manual content design can be time-consuming and exhausting.
An AI-driven approach increases efficiency and reduces the risk of human error, enabling you to reach a larger learner base compared to a manual approach.
In a course like the orchid one, you might be serving a mix of first-time plant parents and experienced growers. AI can help map different learning paths for each group, so your content stays relevant without overwhelming you with extra work.
An AI-driven approach increases efficiency and reduces the risk of human error, enabling you to reach a larger learner base compared to a manual approach.
Diverse Learning Styles: eLearning serves a wide range of learners from various backgrounds. To effectively engage each individual with customized content, it is important to include a variety of content styles in your course plan.
For a topic like plant care, some learners might prefer step-by-step videos, while others might want printable care checklists or audio walkthroughs they can follow while repotting. AI can help you identify and adapt to these preferences.
Utilize infographics, visuals, and relevant case studies that resonate with different cultures and accommodate multilingual learners. Additionally, allow for voice queries or other interactive features to better understand where your learners may be struggling.
Data-Driven Decisions: AI tools analyze large datasets to generate content plans. This provides valuable insights into learning behaviors and helps educators make informed choices about which topics to cover and the sequence in which they should be presented.
You may find that learners are skipping theory-heavy sections and jumping straight to quick how-to's, which could prompt you to restructure your modules for better engagement.
Additionally, AI can offer predictions about learners' future behaviors. You don’t have to give up control. You can work faster, smarter, and create more effective content.
Consistency Across Modules and Platforms: AI tools help maintain consistency in tone, terminology, and instructional style throughout your course. This is especially useful when creating content at scale or across multiple learning paths.
For example, making sure your explanations of things like “aerial roots” or “indirect sunlight” stay consistent across videos, PDFs, and quizzes can go a long way in making your content feel cohesive and professional.
Cost-Effective Content Production: By reducing the need for extensive manual editing, research, and formatting, AI can help lower the overall cost of producing high-quality eLearning content—especially for teams working with limited resources.
For instance, if you’ve already created a lesson on how to water orchids correctly, you can use AI to transform that content into various formats. This could include a printable watering schedule, a short video script, or even a set of frequently asked questions (FAQs) for your course community.
By doing this, you maximize the value of your existing content without needing to hire a designer, writer, or video editor for each version. As a result, this approach can significantly reduce costs.
Here’s a comparison of costs projected between manual and automated online course content planning:
Area of Expenditure | Manual Planning | AI-Generated Planning |
Instructional Design | Requires hiring SMEs; costs $30-$125/hr; total $1.200-$2,500 for a 20 hr module | Automates parts of design; reduces labor needs; lower overall costs |
Content Creation | Manual creation; costs roughly around $5,000 per hour for a basic course | AI generates content quickly; reduces costs by up to 40% |
Media Production | Live shoots require 4-8 weeks for a 60-second corporate video, depending on complexity | AI-generated videos take as little as 10 minutes for a one-minute video; synthetic videos reduce production time significantly |
Project Management | Involves coordinating teams; adds labor cost | Streamlines tasks; improves workflow efficiency; reduced reduced requirement for human labor |
Time to Market | Longer development cycles due to manual processes | Faster course development enables quicker deployment |
Scalability | Scaling requires proportional increases in resources and time | Rapid scaling without linear cost increase |
Blue Carrot's Integration of AI in eLearning Content Creation
This real-world example shows how integrating AI can elevate your eLearning content strategy. Blue Carrot turned to AI as a curriculum builder to optimize both their development timeline and learner engagement.
Blue Carrot, an eLearning content development company, sought to enhance the efficiency and engagement of their online courses. Recognizing the potential of Artificial Intelligence (AI), they integrated AI tools into their course creation process.
Implementation: By leveraging AI, Blue Carrot automated various aspects of course development, including content generation and design. This approach reduced the reliance on Subject Matter Experts (SMEs) and streamlined the production workflow.
Impact:
Time Efficiency: The adoption of AI tools led to significant time savings in course production, enabling faster delivery of educational content.
Cost Reduction: Automating content creation processes decreased the need for extensive SME involvement, resulting in cost savings.
Enhanced Engagement: The AI-generated courses maintained a professional look and feel, contributing to increased learner engagement.
Conclusion: Blue Carrot's integration of AI into eLearning content creation demonstrated notable improvements in production efficiency, cost-effectiveness, and learner engagement. This case underscores the transformative potential of AI in the eLearning industry.
Source: Blue Carrot Blog
This case study illustrates how artificial intelligence is revolutionizing the eLearning sector. However, there are several important considerations to keep in mind when working with AI, which I have discussed below.
Things to be Mindful of While Using AI in eLearning Content Planning:
Even the best AI lesson plan comes with its share of caveats. When using AI for eLearning content development, it’s important to balance automation with authenticity and to protect both learner data and experience quality. This section highlights important considerations to be made when working with AI.
As the saying goes, "With great power comes great responsibility." This applies to the increased use of AI in the modern workforce as well. Addressing the challenges that AI may present is crucial.
By keeping these considerations in mind, you can create engaging and effective eLearning course content with AI assistance:
Avoid Automating Everything: While AI can generate course plans quickly and accurately, it's essential to retain a human touch in your courses. Always verify the use cases and data provided by AI to ensure the uniqueness of your content.
Excessive automation can lead to depersonalization, diminishing the human connection in courses. Human oversight is essential to maintain the authenticity and quality of your course content.
Resistance to Change: Learners come from diverse backgrounds and may be accustomed to traditional learning methods. When introduced to advanced technologies suggested by an AI-driven content plan, they may initially feel overwhelmed.
It's vital to consider these challenges and design your course to facilitate a smooth transition for all learners.
Data Privacy Concerns: AI relies on sensitive personal data to tailor the learning experience for each individual. Ensuring your course complies with data protection regulations is essential to maintain the integrity of learners' data and establish credibility.
Additionally, AI systems can be more susceptible to cyberattacks, leading to potential data breaches and loss of confidentiality. By being mindful of these factors, you can leverage AI effectively while enhancing the learning experience.
Limited Emotional Depth: AI-generated content can be clear and structured, but it often lacks the emotional connection that makes learning experiences memorable. It can describe concepts but may struggle to convey real-life experiences, empathy, or nuance—especially in topics that benefit from personal stories or emotional resonance.
Adding your own insights or learner stories can help build that connection.
Creativity Constraints: AI works by analyzing existing content and patterns. This means it can support your process, but it may not offer truly original or trend-setting ideas.
If you want to introduce something fresh or align with a current cultural moment, it's best to bring in your own perspective. Use AI as a starting point, then add your creative touch.
Lack of Contextual Understanding: While AI can follow instructions and generate content, it may misinterpret humor, sarcasm, or culturally specific references.
These elements are often important in making learning feel engaging and relatable. Always review AI outputs for tone and context to make sure they align with your audience’s expectations.
Risk of Outdated Information: AI models are trained on existing data, and depending on the tool, this data may not be up to date. Relying solely on AI for factual or current information can lead to inaccuracies.
It's important to fact-check content and ensure your course reflects the most current best practices and knowledge.
Final Thoughts
As individuals who have been taught using traditional methods for a long time, incorporating technology into course content creation or eLearning might initially feel like a gamble. However, as you begin to regularly use AI and other advanced technologies to simplify your tasks, it will become second nature.
Using AI in eLearning is not about replacing your existing knowledge; it’s about scaling that knowledge in a way that saves time, enhances the learner experience, and delivers better results.
You don’t need to start from scratch; you just need to start smarter.
If you want to move faster, build better, and minimize obstacles in your course creation process, let AI manage the heavy lifting so you can concentrate on delivering value where it matters most.
If you recognize that content is key to a successful eLearning course, you are no longer a beginner in this field. Start implementing your insights now to develop your course content using the eLearning Content Opportunity Finder, and discover what your learners are searching for before your competitors do.
You Know Content Strategy Matters. But Are You Still Doing It the Hard Way?
Source
You already know that a strong content strategy is the backbone of a successful online course. You understand that planning what to teach, how to teach it, and how to keep learners engaged is what makes or breaks enrollments.
But here’s the real question.
Are you still doing it all manually?
Because if you are, you might be limiting your course’s potential without realizing it.
Many experienced course creators are making the shift toward AI in eLearning not because they lack skills, but because they value efficiency, deeper insights, and a smoother path to results. Technology aided planning makes measuring success easier.
65% of undergraduate students in the U.S. believe that AI will improve how students learn rather than having negative consequences on learning.
This article breaks down the return on investment when comparing traditional manual course creation with an AI-powered content strategy. If you are already aware of what a good strategy looks like, this is your next step to leveling up.
The Problem with Sticking to Manual Content Planning
Relying on manual methods for eLearning content planning often leads to missed opportunities and human errors. Without AI support, effective lesson planning can become time-consuming and depersonalized. In this section, we will discuss why manual course content strategies are no longer recommended.
Let's be honest: creating courses manually requires more than just effort; it demands significant time, energy, and cognitive load. You are likely already doing everything right—outlining learning outcomes, structuring your modules, and researching learner interests.
However, when everything is done by hand, the process can become slow, disorganized, and challenging to scale and it can ultimately have a negative impact on your return on investment (ROI).
Many course creators who work manually tend to make the following common mistakes:
1. Focusing on Showing Expertise: Manual course creation often leads to procrastination and a misunderstanding of learners' intents. Course creators can become too focused on showcasing their expertise, which may cause them to lose sight of the course objectives.
They might forget who the target audience is and use overly complicated language and technical terms, even when addressing beginner-level learners. It’s essential to maintain a manageable difficulty level that aligns with the needs of the target audience.
Source
2. Being Too Personal with Storytelling: Some eLearning course creators may lose track of appropriate storytelling boundaries while explaining concepts.
While storytelling can enhance the connection with learners, it’s important to retain a sense of professionalism when delivering course content. Material should never be so overwhelming that it becomes difficult for learners to digest.
3. Overly Theoretical Courses Lacking Real-Life Examples: Course creators sometimes focus excessively on theoretical information, neglecting to incorporate real-life case studies or interactive elements like quizzes and group projects.
Manually crafting interactive components can be time-consuming, making the use of AI tools to simplify these tasks crucial to avoiding unnecessary hassle.
4. Going Off on Tangents: Crafting course content manually can lead to distractions and the inclusion of unnecessary topics, detracting from the core focus that is truly beneficial for learners.
It’s essential to adhere to the original course objectives. However, additional content can be placed in a resources section for learners seeking more advanced information.
Source
5. Time Constraint: Developing content manually can take hours, days, or even months to complete. This is because manual research involves sifting through a large amount of data before creating an effective plan. In today’s tech-driven world, time is of the essence.
It is not advisable to spend time on tasks that other course creators are able to accomplish in minutes using AI tools. Smart content course planning can save you days or even months of work.
Consider using this tool to effectively plan your online course and avoid the difficulties of manual planning.
Look at how it expertly tailors course content to align with your offerings and meet the needs of your target learners.
Why Skilled Creators Are Adopting AI in eLearning:
With the rise of intelligent tools, many professionals are rethinking how they approach eLearning content development. AI acts as a smart curriculum builder, helping educators focus on engagement while automating repetitive tasks. In this section, we will discuss how artificial intelligence has transformed eLearning content planning as a whole.
You may have considered using AI to support your content planning, or even tested a few tools. However, here's the reality:
AI in eLearning is no longer experimental; it has become an essential support system for creators seeking to enhance efficiency without sacrificing quality. AI can help you with everything from planning course content to promoting your course. If you are already familiar with the solutions available, this is an opportunity to make your process more scalable, consistent, and profitable.
What AI Offers to eLearning Creators:
In this section, we’ll use the example of an online course called “How to Grow Healthy Orchids at Home” to walk through how AI simplifies online course creation. Whether you’re building your first course or refining an existing one, this real-world example will help bring each point to life.
Precision Over Guesswork: AI accurately identifies what learners want by analyzing search trends and behaviors, allowing you to create content that aligns with their intentions. It can curate personalized learning paths for each learner, making the course feel uniquely tailored to them.
By incorporating mid-course feedback alongside AI, courses can be refined to meet specific learner needs, leading to a more engaging experience.
For instance, in the orchid course, you might initially think that the best place to begin is by teaching potting techniques or discussing the ideal lighting for an orchid plant.
However, AI can reveal that learners are looking for assistance with issues like yellowing leaves or how to keep orchids alive during the winter. By restructuring the course to address these specific needs first, you can immediately connect with what your learners are seeking.
Incorporating mid-course feedback and AI assistance can help refine the course to meet learners' needs better, resulting in a more engaging experience.
For instance, if learners in the orchid course are dropping off during the repotting module, AI can detect this and suggest that you clarify instructions or include a short how-to video. These small adjustments can help keep learners engaged and encourage them to progress through the course.
Scalability: AI can manage routine tasks in course content creation, such as developing a structured course plan based on the learner personas you provide. Manual content design can be time-consuming and exhausting.
An AI-driven approach increases efficiency and reduces the risk of human error, enabling you to reach a larger learner base compared to a manual approach.
In a course like the orchid one, you might be serving a mix of first-time plant parents and experienced growers. AI can help map different learning paths for each group, so your content stays relevant without overwhelming you with extra work.
An AI-driven approach increases efficiency and reduces the risk of human error, enabling you to reach a larger learner base compared to a manual approach.
Diverse Learning Styles: eLearning serves a wide range of learners from various backgrounds. To effectively engage each individual with customized content, it is important to include a variety of content styles in your course plan.
For a topic like plant care, some learners might prefer step-by-step videos, while others might want printable care checklists or audio walkthroughs they can follow while repotting. AI can help you identify and adapt to these preferences.
Utilize infographics, visuals, and relevant case studies that resonate with different cultures and accommodate multilingual learners. Additionally, allow for voice queries or other interactive features to better understand where your learners may be struggling.
Data-Driven Decisions: AI tools analyze large datasets to generate content plans. This provides valuable insights into learning behaviors and helps educators make informed choices about which topics to cover and the sequence in which they should be presented.
You may find that learners are skipping theory-heavy sections and jumping straight to quick how-to's, which could prompt you to restructure your modules for better engagement.
Additionally, AI can offer predictions about learners' future behaviors. You don’t have to give up control. You can work faster, smarter, and create more effective content.
Consistency Across Modules and Platforms: AI tools help maintain consistency in tone, terminology, and instructional style throughout your course. This is especially useful when creating content at scale or across multiple learning paths.
For example, making sure your explanations of things like “aerial roots” or “indirect sunlight” stay consistent across videos, PDFs, and quizzes can go a long way in making your content feel cohesive and professional.
Cost-Effective Content Production: By reducing the need for extensive manual editing, research, and formatting, AI can help lower the overall cost of producing high-quality eLearning content—especially for teams working with limited resources.
For instance, if you’ve already created a lesson on how to water orchids correctly, you can use AI to transform that content into various formats. This could include a printable watering schedule, a short video script, or even a set of frequently asked questions (FAQs) for your course community.
By doing this, you maximize the value of your existing content without needing to hire a designer, writer, or video editor for each version. As a result, this approach can significantly reduce costs.
Here’s a comparison of costs projected between manual and automated online course content planning:
Area of Expenditure | Manual Planning | AI-Generated Planning |
Instructional Design | Requires hiring SMEs; costs $30-$125/hr; total $1.200-$2,500 for a 20 hr module | Automates parts of design; reduces labor needs; lower overall costs |
Content Creation | Manual creation; costs roughly around $5,000 per hour for a basic course | AI generates content quickly; reduces costs by up to 40% |
Media Production | Live shoots require 4-8 weeks for a 60-second corporate video, depending on complexity | AI-generated videos take as little as 10 minutes for a one-minute video; synthetic videos reduce production time significantly |
Project Management | Involves coordinating teams; adds labor cost | Streamlines tasks; improves workflow efficiency; reduced reduced requirement for human labor |
Time to Market | Longer development cycles due to manual processes | Faster course development enables quicker deployment |
Scalability | Scaling requires proportional increases in resources and time | Rapid scaling without linear cost increase |
Blue Carrot's Integration of AI in eLearning Content Creation
This real-world example shows how integrating AI can elevate your eLearning content strategy. Blue Carrot turned to AI as a curriculum builder to optimize both their development timeline and learner engagement.
Blue Carrot, an eLearning content development company, sought to enhance the efficiency and engagement of their online courses. Recognizing the potential of Artificial Intelligence (AI), they integrated AI tools into their course creation process.
Implementation: By leveraging AI, Blue Carrot automated various aspects of course development, including content generation and design. This approach reduced the reliance on Subject Matter Experts (SMEs) and streamlined the production workflow.
Impact:
Time Efficiency: The adoption of AI tools led to significant time savings in course production, enabling faster delivery of educational content.
Cost Reduction: Automating content creation processes decreased the need for extensive SME involvement, resulting in cost savings.
Enhanced Engagement: The AI-generated courses maintained a professional look and feel, contributing to increased learner engagement.
Conclusion: Blue Carrot's integration of AI into eLearning content creation demonstrated notable improvements in production efficiency, cost-effectiveness, and learner engagement. This case underscores the transformative potential of AI in the eLearning industry.
Source: Blue Carrot Blog
This case study illustrates how artificial intelligence is revolutionizing the eLearning sector. However, there are several important considerations to keep in mind when working with AI, which I have discussed below.
Things to be Mindful of While Using AI in eLearning Content Planning:
Even the best AI lesson plan comes with its share of caveats. When using AI for eLearning content development, it’s important to balance automation with authenticity and to protect both learner data and experience quality. This section highlights important considerations to be made when working with AI.
As the saying goes, "With great power comes great responsibility." This applies to the increased use of AI in the modern workforce as well. Addressing the challenges that AI may present is crucial.
By keeping these considerations in mind, you can create engaging and effective eLearning course content with AI assistance:
Avoid Automating Everything: While AI can generate course plans quickly and accurately, it's essential to retain a human touch in your courses. Always verify the use cases and data provided by AI to ensure the uniqueness of your content.
Excessive automation can lead to depersonalization, diminishing the human connection in courses. Human oversight is essential to maintain the authenticity and quality of your course content.
Resistance to Change: Learners come from diverse backgrounds and may be accustomed to traditional learning methods. When introduced to advanced technologies suggested by an AI-driven content plan, they may initially feel overwhelmed.
It's vital to consider these challenges and design your course to facilitate a smooth transition for all learners.
Data Privacy Concerns: AI relies on sensitive personal data to tailor the learning experience for each individual. Ensuring your course complies with data protection regulations is essential to maintain the integrity of learners' data and establish credibility.
Additionally, AI systems can be more susceptible to cyberattacks, leading to potential data breaches and loss of confidentiality. By being mindful of these factors, you can leverage AI effectively while enhancing the learning experience.
Limited Emotional Depth: AI-generated content can be clear and structured, but it often lacks the emotional connection that makes learning experiences memorable. It can describe concepts but may struggle to convey real-life experiences, empathy, or nuance—especially in topics that benefit from personal stories or emotional resonance.
Adding your own insights or learner stories can help build that connection.
Creativity Constraints: AI works by analyzing existing content and patterns. This means it can support your process, but it may not offer truly original or trend-setting ideas.
If you want to introduce something fresh or align with a current cultural moment, it's best to bring in your own perspective. Use AI as a starting point, then add your creative touch.
Lack of Contextual Understanding: While AI can follow instructions and generate content, it may misinterpret humor, sarcasm, or culturally specific references.
These elements are often important in making learning feel engaging and relatable. Always review AI outputs for tone and context to make sure they align with your audience’s expectations.
Risk of Outdated Information: AI models are trained on existing data, and depending on the tool, this data may not be up to date. Relying solely on AI for factual or current information can lead to inaccuracies.
It's important to fact-check content and ensure your course reflects the most current best practices and knowledge.
Final Thoughts
As individuals who have been taught using traditional methods for a long time, incorporating technology into course content creation or eLearning might initially feel like a gamble. However, as you begin to regularly use AI and other advanced technologies to simplify your tasks, it will become second nature.
Using AI in eLearning is not about replacing your existing knowledge; it’s about scaling that knowledge in a way that saves time, enhances the learner experience, and delivers better results.
You don’t need to start from scratch; you just need to start smarter.
If you want to move faster, build better, and minimize obstacles in your course creation process, let AI manage the heavy lifting so you can concentrate on delivering value where it matters most.
If you recognize that content is key to a successful eLearning course, you are no longer a beginner in this field. Start implementing your insights now to develop your course content using the eLearning Content Opportunity Finder, and discover what your learners are searching for before your competitors do.
You Know Content Strategy Matters. But Are You Still Doing It the Hard Way?
Source
You already know that a strong content strategy is the backbone of a successful online course. You understand that planning what to teach, how to teach it, and how to keep learners engaged is what makes or breaks enrollments.
But here’s the real question.
Are you still doing it all manually?
Because if you are, you might be limiting your course’s potential without realizing it.
Many experienced course creators are making the shift toward AI in eLearning not because they lack skills, but because they value efficiency, deeper insights, and a smoother path to results. Technology aided planning makes measuring success easier.
65% of undergraduate students in the U.S. believe that AI will improve how students learn rather than having negative consequences on learning.
This article breaks down the return on investment when comparing traditional manual course creation with an AI-powered content strategy. If you are already aware of what a good strategy looks like, this is your next step to leveling up.
The Problem with Sticking to Manual Content Planning
Relying on manual methods for eLearning content planning often leads to missed opportunities and human errors. Without AI support, effective lesson planning can become time-consuming and depersonalized. In this section, we will discuss why manual course content strategies are no longer recommended.
Let's be honest: creating courses manually requires more than just effort; it demands significant time, energy, and cognitive load. You are likely already doing everything right—outlining learning outcomes, structuring your modules, and researching learner interests.
However, when everything is done by hand, the process can become slow, disorganized, and challenging to scale and it can ultimately have a negative impact on your return on investment (ROI).
Many course creators who work manually tend to make the following common mistakes:
1. Focusing on Showing Expertise: Manual course creation often leads to procrastination and a misunderstanding of learners' intents. Course creators can become too focused on showcasing their expertise, which may cause them to lose sight of the course objectives.
They might forget who the target audience is and use overly complicated language and technical terms, even when addressing beginner-level learners. It’s essential to maintain a manageable difficulty level that aligns with the needs of the target audience.
Source
2. Being Too Personal with Storytelling: Some eLearning course creators may lose track of appropriate storytelling boundaries while explaining concepts.
While storytelling can enhance the connection with learners, it’s important to retain a sense of professionalism when delivering course content. Material should never be so overwhelming that it becomes difficult for learners to digest.
3. Overly Theoretical Courses Lacking Real-Life Examples: Course creators sometimes focus excessively on theoretical information, neglecting to incorporate real-life case studies or interactive elements like quizzes and group projects.
Manually crafting interactive components can be time-consuming, making the use of AI tools to simplify these tasks crucial to avoiding unnecessary hassle.
4. Going Off on Tangents: Crafting course content manually can lead to distractions and the inclusion of unnecessary topics, detracting from the core focus that is truly beneficial for learners.
It’s essential to adhere to the original course objectives. However, additional content can be placed in a resources section for learners seeking more advanced information.
Source
5. Time Constraint: Developing content manually can take hours, days, or even months to complete. This is because manual research involves sifting through a large amount of data before creating an effective plan. In today’s tech-driven world, time is of the essence.
It is not advisable to spend time on tasks that other course creators are able to accomplish in minutes using AI tools. Smart content course planning can save you days or even months of work.
Consider using this tool to effectively plan your online course and avoid the difficulties of manual planning.
Look at how it expertly tailors course content to align with your offerings and meet the needs of your target learners.
Why Skilled Creators Are Adopting AI in eLearning:
With the rise of intelligent tools, many professionals are rethinking how they approach eLearning content development. AI acts as a smart curriculum builder, helping educators focus on engagement while automating repetitive tasks. In this section, we will discuss how artificial intelligence has transformed eLearning content planning as a whole.
You may have considered using AI to support your content planning, or even tested a few tools. However, here's the reality:
AI in eLearning is no longer experimental; it has become an essential support system for creators seeking to enhance efficiency without sacrificing quality. AI can help you with everything from planning course content to promoting your course. If you are already familiar with the solutions available, this is an opportunity to make your process more scalable, consistent, and profitable.
What AI Offers to eLearning Creators:
In this section, we’ll use the example of an online course called “How to Grow Healthy Orchids at Home” to walk through how AI simplifies online course creation. Whether you’re building your first course or refining an existing one, this real-world example will help bring each point to life.
Precision Over Guesswork: AI accurately identifies what learners want by analyzing search trends and behaviors, allowing you to create content that aligns with their intentions. It can curate personalized learning paths for each learner, making the course feel uniquely tailored to them.
By incorporating mid-course feedback alongside AI, courses can be refined to meet specific learner needs, leading to a more engaging experience.
For instance, in the orchid course, you might initially think that the best place to begin is by teaching potting techniques or discussing the ideal lighting for an orchid plant.
However, AI can reveal that learners are looking for assistance with issues like yellowing leaves or how to keep orchids alive during the winter. By restructuring the course to address these specific needs first, you can immediately connect with what your learners are seeking.
Incorporating mid-course feedback and AI assistance can help refine the course to meet learners' needs better, resulting in a more engaging experience.
For instance, if learners in the orchid course are dropping off during the repotting module, AI can detect this and suggest that you clarify instructions or include a short how-to video. These small adjustments can help keep learners engaged and encourage them to progress through the course.
Scalability: AI can manage routine tasks in course content creation, such as developing a structured course plan based on the learner personas you provide. Manual content design can be time-consuming and exhausting.
An AI-driven approach increases efficiency and reduces the risk of human error, enabling you to reach a larger learner base compared to a manual approach.
In a course like the orchid one, you might be serving a mix of first-time plant parents and experienced growers. AI can help map different learning paths for each group, so your content stays relevant without overwhelming you with extra work.
An AI-driven approach increases efficiency and reduces the risk of human error, enabling you to reach a larger learner base compared to a manual approach.
Diverse Learning Styles: eLearning serves a wide range of learners from various backgrounds. To effectively engage each individual with customized content, it is important to include a variety of content styles in your course plan.
For a topic like plant care, some learners might prefer step-by-step videos, while others might want printable care checklists or audio walkthroughs they can follow while repotting. AI can help you identify and adapt to these preferences.
Utilize infographics, visuals, and relevant case studies that resonate with different cultures and accommodate multilingual learners. Additionally, allow for voice queries or other interactive features to better understand where your learners may be struggling.
Data-Driven Decisions: AI tools analyze large datasets to generate content plans. This provides valuable insights into learning behaviors and helps educators make informed choices about which topics to cover and the sequence in which they should be presented.
You may find that learners are skipping theory-heavy sections and jumping straight to quick how-to's, which could prompt you to restructure your modules for better engagement.
Additionally, AI can offer predictions about learners' future behaviors. You don’t have to give up control. You can work faster, smarter, and create more effective content.
Consistency Across Modules and Platforms: AI tools help maintain consistency in tone, terminology, and instructional style throughout your course. This is especially useful when creating content at scale or across multiple learning paths.
For example, making sure your explanations of things like “aerial roots” or “indirect sunlight” stay consistent across videos, PDFs, and quizzes can go a long way in making your content feel cohesive and professional.
Cost-Effective Content Production: By reducing the need for extensive manual editing, research, and formatting, AI can help lower the overall cost of producing high-quality eLearning content—especially for teams working with limited resources.
For instance, if you’ve already created a lesson on how to water orchids correctly, you can use AI to transform that content into various formats. This could include a printable watering schedule, a short video script, or even a set of frequently asked questions (FAQs) for your course community.
By doing this, you maximize the value of your existing content without needing to hire a designer, writer, or video editor for each version. As a result, this approach can significantly reduce costs.
Here’s a comparison of costs projected between manual and automated online course content planning:
Area of Expenditure | Manual Planning | AI-Generated Planning |
Instructional Design | Requires hiring SMEs; costs $30-$125/hr; total $1.200-$2,500 for a 20 hr module | Automates parts of design; reduces labor needs; lower overall costs |
Content Creation | Manual creation; costs roughly around $5,000 per hour for a basic course | AI generates content quickly; reduces costs by up to 40% |
Media Production | Live shoots require 4-8 weeks for a 60-second corporate video, depending on complexity | AI-generated videos take as little as 10 minutes for a one-minute video; synthetic videos reduce production time significantly |
Project Management | Involves coordinating teams; adds labor cost | Streamlines tasks; improves workflow efficiency; reduced reduced requirement for human labor |
Time to Market | Longer development cycles due to manual processes | Faster course development enables quicker deployment |
Scalability | Scaling requires proportional increases in resources and time | Rapid scaling without linear cost increase |
Blue Carrot's Integration of AI in eLearning Content Creation
This real-world example shows how integrating AI can elevate your eLearning content strategy. Blue Carrot turned to AI as a curriculum builder to optimize both their development timeline and learner engagement.
Blue Carrot, an eLearning content development company, sought to enhance the efficiency and engagement of their online courses. Recognizing the potential of Artificial Intelligence (AI), they integrated AI tools into their course creation process.
Implementation: By leveraging AI, Blue Carrot automated various aspects of course development, including content generation and design. This approach reduced the reliance on Subject Matter Experts (SMEs) and streamlined the production workflow.
Impact:
Time Efficiency: The adoption of AI tools led to significant time savings in course production, enabling faster delivery of educational content.
Cost Reduction: Automating content creation processes decreased the need for extensive SME involvement, resulting in cost savings.
Enhanced Engagement: The AI-generated courses maintained a professional look and feel, contributing to increased learner engagement.
Conclusion: Blue Carrot's integration of AI into eLearning content creation demonstrated notable improvements in production efficiency, cost-effectiveness, and learner engagement. This case underscores the transformative potential of AI in the eLearning industry.
Source: Blue Carrot Blog
This case study illustrates how artificial intelligence is revolutionizing the eLearning sector. However, there are several important considerations to keep in mind when working with AI, which I have discussed below.
Things to be Mindful of While Using AI in eLearning Content Planning:
Even the best AI lesson plan comes with its share of caveats. When using AI for eLearning content development, it’s important to balance automation with authenticity and to protect both learner data and experience quality. This section highlights important considerations to be made when working with AI.
As the saying goes, "With great power comes great responsibility." This applies to the increased use of AI in the modern workforce as well. Addressing the challenges that AI may present is crucial.
By keeping these considerations in mind, you can create engaging and effective eLearning course content with AI assistance:
Avoid Automating Everything: While AI can generate course plans quickly and accurately, it's essential to retain a human touch in your courses. Always verify the use cases and data provided by AI to ensure the uniqueness of your content.
Excessive automation can lead to depersonalization, diminishing the human connection in courses. Human oversight is essential to maintain the authenticity and quality of your course content.
Resistance to Change: Learners come from diverse backgrounds and may be accustomed to traditional learning methods. When introduced to advanced technologies suggested by an AI-driven content plan, they may initially feel overwhelmed.
It's vital to consider these challenges and design your course to facilitate a smooth transition for all learners.
Data Privacy Concerns: AI relies on sensitive personal data to tailor the learning experience for each individual. Ensuring your course complies with data protection regulations is essential to maintain the integrity of learners' data and establish credibility.
Additionally, AI systems can be more susceptible to cyberattacks, leading to potential data breaches and loss of confidentiality. By being mindful of these factors, you can leverage AI effectively while enhancing the learning experience.
Limited Emotional Depth: AI-generated content can be clear and structured, but it often lacks the emotional connection that makes learning experiences memorable. It can describe concepts but may struggle to convey real-life experiences, empathy, or nuance—especially in topics that benefit from personal stories or emotional resonance.
Adding your own insights or learner stories can help build that connection.
Creativity Constraints: AI works by analyzing existing content and patterns. This means it can support your process, but it may not offer truly original or trend-setting ideas.
If you want to introduce something fresh or align with a current cultural moment, it's best to bring in your own perspective. Use AI as a starting point, then add your creative touch.
Lack of Contextual Understanding: While AI can follow instructions and generate content, it may misinterpret humor, sarcasm, or culturally specific references.
These elements are often important in making learning feel engaging and relatable. Always review AI outputs for tone and context to make sure they align with your audience’s expectations.
Risk of Outdated Information: AI models are trained on existing data, and depending on the tool, this data may not be up to date. Relying solely on AI for factual or current information can lead to inaccuracies.
It's important to fact-check content and ensure your course reflects the most current best practices and knowledge.
Final Thoughts
As individuals who have been taught using traditional methods for a long time, incorporating technology into course content creation or eLearning might initially feel like a gamble. However, as you begin to regularly use AI and other advanced technologies to simplify your tasks, it will become second nature.
Using AI in eLearning is not about replacing your existing knowledge; it’s about scaling that knowledge in a way that saves time, enhances the learner experience, and delivers better results.
You don’t need to start from scratch; you just need to start smarter.
If you want to move faster, build better, and minimize obstacles in your course creation process, let AI manage the heavy lifting so you can concentrate on delivering value where it matters most.
If you recognize that content is key to a successful eLearning course, you are no longer a beginner in this field. Start implementing your insights now to develop your course content using the eLearning Content Opportunity Finder, and discover what your learners are searching for before your competitors do.
You Know Content Strategy Matters. But Are You Still Doing It the Hard Way?
Source
You already know that a strong content strategy is the backbone of a successful online course. You understand that planning what to teach, how to teach it, and how to keep learners engaged is what makes or breaks enrollments.
But here’s the real question.
Are you still doing it all manually?
Because if you are, you might be limiting your course’s potential without realizing it.
Many experienced course creators are making the shift toward AI in eLearning not because they lack skills, but because they value efficiency, deeper insights, and a smoother path to results. Technology aided planning makes measuring success easier.
65% of undergraduate students in the U.S. believe that AI will improve how students learn rather than having negative consequences on learning.
This article breaks down the return on investment when comparing traditional manual course creation with an AI-powered content strategy. If you are already aware of what a good strategy looks like, this is your next step to leveling up.
The Problem with Sticking to Manual Content Planning
Relying on manual methods for eLearning content planning often leads to missed opportunities and human errors. Without AI support, effective lesson planning can become time-consuming and depersonalized. In this section, we will discuss why manual course content strategies are no longer recommended.
Let's be honest: creating courses manually requires more than just effort; it demands significant time, energy, and cognitive load. You are likely already doing everything right—outlining learning outcomes, structuring your modules, and researching learner interests.
However, when everything is done by hand, the process can become slow, disorganized, and challenging to scale and it can ultimately have a negative impact on your return on investment (ROI).
Many course creators who work manually tend to make the following common mistakes:
1. Focusing on Showing Expertise: Manual course creation often leads to procrastination and a misunderstanding of learners' intents. Course creators can become too focused on showcasing their expertise, which may cause them to lose sight of the course objectives.
They might forget who the target audience is and use overly complicated language and technical terms, even when addressing beginner-level learners. It’s essential to maintain a manageable difficulty level that aligns with the needs of the target audience.
Source
2. Being Too Personal with Storytelling: Some eLearning course creators may lose track of appropriate storytelling boundaries while explaining concepts.
While storytelling can enhance the connection with learners, it’s important to retain a sense of professionalism when delivering course content. Material should never be so overwhelming that it becomes difficult for learners to digest.
3. Overly Theoretical Courses Lacking Real-Life Examples: Course creators sometimes focus excessively on theoretical information, neglecting to incorporate real-life case studies or interactive elements like quizzes and group projects.
Manually crafting interactive components can be time-consuming, making the use of AI tools to simplify these tasks crucial to avoiding unnecessary hassle.
4. Going Off on Tangents: Crafting course content manually can lead to distractions and the inclusion of unnecessary topics, detracting from the core focus that is truly beneficial for learners.
It’s essential to adhere to the original course objectives. However, additional content can be placed in a resources section for learners seeking more advanced information.
Source
5. Time Constraint: Developing content manually can take hours, days, or even months to complete. This is because manual research involves sifting through a large amount of data before creating an effective plan. In today’s tech-driven world, time is of the essence.
It is not advisable to spend time on tasks that other course creators are able to accomplish in minutes using AI tools. Smart content course planning can save you days or even months of work.
Consider using this tool to effectively plan your online course and avoid the difficulties of manual planning.
Look at how it expertly tailors course content to align with your offerings and meet the needs of your target learners.
Why Skilled Creators Are Adopting AI in eLearning:
With the rise of intelligent tools, many professionals are rethinking how they approach eLearning content development. AI acts as a smart curriculum builder, helping educators focus on engagement while automating repetitive tasks. In this section, we will discuss how artificial intelligence has transformed eLearning content planning as a whole.
You may have considered using AI to support your content planning, or even tested a few tools. However, here's the reality:
AI in eLearning is no longer experimental; it has become an essential support system for creators seeking to enhance efficiency without sacrificing quality. AI can help you with everything from planning course content to promoting your course. If you are already familiar with the solutions available, this is an opportunity to make your process more scalable, consistent, and profitable.
What AI Offers to eLearning Creators:
In this section, we’ll use the example of an online course called “How to Grow Healthy Orchids at Home” to walk through how AI simplifies online course creation. Whether you’re building your first course or refining an existing one, this real-world example will help bring each point to life.
Precision Over Guesswork: AI accurately identifies what learners want by analyzing search trends and behaviors, allowing you to create content that aligns with their intentions. It can curate personalized learning paths for each learner, making the course feel uniquely tailored to them.
By incorporating mid-course feedback alongside AI, courses can be refined to meet specific learner needs, leading to a more engaging experience.
For instance, in the orchid course, you might initially think that the best place to begin is by teaching potting techniques or discussing the ideal lighting for an orchid plant.
However, AI can reveal that learners are looking for assistance with issues like yellowing leaves or how to keep orchids alive during the winter. By restructuring the course to address these specific needs first, you can immediately connect with what your learners are seeking.
Incorporating mid-course feedback and AI assistance can help refine the course to meet learners' needs better, resulting in a more engaging experience.
For instance, if learners in the orchid course are dropping off during the repotting module, AI can detect this and suggest that you clarify instructions or include a short how-to video. These small adjustments can help keep learners engaged and encourage them to progress through the course.
Scalability: AI can manage routine tasks in course content creation, such as developing a structured course plan based on the learner personas you provide. Manual content design can be time-consuming and exhausting.
An AI-driven approach increases efficiency and reduces the risk of human error, enabling you to reach a larger learner base compared to a manual approach.
In a course like the orchid one, you might be serving a mix of first-time plant parents and experienced growers. AI can help map different learning paths for each group, so your content stays relevant without overwhelming you with extra work.
An AI-driven approach increases efficiency and reduces the risk of human error, enabling you to reach a larger learner base compared to a manual approach.
Diverse Learning Styles: eLearning serves a wide range of learners from various backgrounds. To effectively engage each individual with customized content, it is important to include a variety of content styles in your course plan.
For a topic like plant care, some learners might prefer step-by-step videos, while others might want printable care checklists or audio walkthroughs they can follow while repotting. AI can help you identify and adapt to these preferences.
Utilize infographics, visuals, and relevant case studies that resonate with different cultures and accommodate multilingual learners. Additionally, allow for voice queries or other interactive features to better understand where your learners may be struggling.
Data-Driven Decisions: AI tools analyze large datasets to generate content plans. This provides valuable insights into learning behaviors and helps educators make informed choices about which topics to cover and the sequence in which they should be presented.
You may find that learners are skipping theory-heavy sections and jumping straight to quick how-to's, which could prompt you to restructure your modules for better engagement.
Additionally, AI can offer predictions about learners' future behaviors. You don’t have to give up control. You can work faster, smarter, and create more effective content.
Consistency Across Modules and Platforms: AI tools help maintain consistency in tone, terminology, and instructional style throughout your course. This is especially useful when creating content at scale or across multiple learning paths.
For example, making sure your explanations of things like “aerial roots” or “indirect sunlight” stay consistent across videos, PDFs, and quizzes can go a long way in making your content feel cohesive and professional.
Cost-Effective Content Production: By reducing the need for extensive manual editing, research, and formatting, AI can help lower the overall cost of producing high-quality eLearning content—especially for teams working with limited resources.
For instance, if you’ve already created a lesson on how to water orchids correctly, you can use AI to transform that content into various formats. This could include a printable watering schedule, a short video script, or even a set of frequently asked questions (FAQs) for your course community.
By doing this, you maximize the value of your existing content without needing to hire a designer, writer, or video editor for each version. As a result, this approach can significantly reduce costs.
Here’s a comparison of costs projected between manual and automated online course content planning:
Area of Expenditure | Manual Planning | AI-Generated Planning |
Instructional Design | Requires hiring SMEs; costs $30-$125/hr; total $1.200-$2,500 for a 20 hr module | Automates parts of design; reduces labor needs; lower overall costs |
Content Creation | Manual creation; costs roughly around $5,000 per hour for a basic course | AI generates content quickly; reduces costs by up to 40% |
Media Production | Live shoots require 4-8 weeks for a 60-second corporate video, depending on complexity | AI-generated videos take as little as 10 minutes for a one-minute video; synthetic videos reduce production time significantly |
Project Management | Involves coordinating teams; adds labor cost | Streamlines tasks; improves workflow efficiency; reduced reduced requirement for human labor |
Time to Market | Longer development cycles due to manual processes | Faster course development enables quicker deployment |
Scalability | Scaling requires proportional increases in resources and time | Rapid scaling without linear cost increase |
Blue Carrot's Integration of AI in eLearning Content Creation
This real-world example shows how integrating AI can elevate your eLearning content strategy. Blue Carrot turned to AI as a curriculum builder to optimize both their development timeline and learner engagement.
Blue Carrot, an eLearning content development company, sought to enhance the efficiency and engagement of their online courses. Recognizing the potential of Artificial Intelligence (AI), they integrated AI tools into their course creation process.
Implementation: By leveraging AI, Blue Carrot automated various aspects of course development, including content generation and design. This approach reduced the reliance on Subject Matter Experts (SMEs) and streamlined the production workflow.
Impact:
Time Efficiency: The adoption of AI tools led to significant time savings in course production, enabling faster delivery of educational content.
Cost Reduction: Automating content creation processes decreased the need for extensive SME involvement, resulting in cost savings.
Enhanced Engagement: The AI-generated courses maintained a professional look and feel, contributing to increased learner engagement.
Conclusion: Blue Carrot's integration of AI into eLearning content creation demonstrated notable improvements in production efficiency, cost-effectiveness, and learner engagement. This case underscores the transformative potential of AI in the eLearning industry.
Source: Blue Carrot Blog
This case study illustrates how artificial intelligence is revolutionizing the eLearning sector. However, there are several important considerations to keep in mind when working with AI, which I have discussed below.
Things to be Mindful of While Using AI in eLearning Content Planning:
Even the best AI lesson plan comes with its share of caveats. When using AI for eLearning content development, it’s important to balance automation with authenticity and to protect both learner data and experience quality. This section highlights important considerations to be made when working with AI.
As the saying goes, "With great power comes great responsibility." This applies to the increased use of AI in the modern workforce as well. Addressing the challenges that AI may present is crucial.
By keeping these considerations in mind, you can create engaging and effective eLearning course content with AI assistance:
Avoid Automating Everything: While AI can generate course plans quickly and accurately, it's essential to retain a human touch in your courses. Always verify the use cases and data provided by AI to ensure the uniqueness of your content.
Excessive automation can lead to depersonalization, diminishing the human connection in courses. Human oversight is essential to maintain the authenticity and quality of your course content.
Resistance to Change: Learners come from diverse backgrounds and may be accustomed to traditional learning methods. When introduced to advanced technologies suggested by an AI-driven content plan, they may initially feel overwhelmed.
It's vital to consider these challenges and design your course to facilitate a smooth transition for all learners.
Data Privacy Concerns: AI relies on sensitive personal data to tailor the learning experience for each individual. Ensuring your course complies with data protection regulations is essential to maintain the integrity of learners' data and establish credibility.
Additionally, AI systems can be more susceptible to cyberattacks, leading to potential data breaches and loss of confidentiality. By being mindful of these factors, you can leverage AI effectively while enhancing the learning experience.
Limited Emotional Depth: AI-generated content can be clear and structured, but it often lacks the emotional connection that makes learning experiences memorable. It can describe concepts but may struggle to convey real-life experiences, empathy, or nuance—especially in topics that benefit from personal stories or emotional resonance.
Adding your own insights or learner stories can help build that connection.
Creativity Constraints: AI works by analyzing existing content and patterns. This means it can support your process, but it may not offer truly original or trend-setting ideas.
If you want to introduce something fresh or align with a current cultural moment, it's best to bring in your own perspective. Use AI as a starting point, then add your creative touch.
Lack of Contextual Understanding: While AI can follow instructions and generate content, it may misinterpret humor, sarcasm, or culturally specific references.
These elements are often important in making learning feel engaging and relatable. Always review AI outputs for tone and context to make sure they align with your audience’s expectations.
Risk of Outdated Information: AI models are trained on existing data, and depending on the tool, this data may not be up to date. Relying solely on AI for factual or current information can lead to inaccuracies.
It's important to fact-check content and ensure your course reflects the most current best practices and knowledge.
Final Thoughts
As individuals who have been taught using traditional methods for a long time, incorporating technology into course content creation or eLearning might initially feel like a gamble. However, as you begin to regularly use AI and other advanced technologies to simplify your tasks, it will become second nature.
Using AI in eLearning is not about replacing your existing knowledge; it’s about scaling that knowledge in a way that saves time, enhances the learner experience, and delivers better results.
You don’t need to start from scratch; you just need to start smarter.
If you want to move faster, build better, and minimize obstacles in your course creation process, let AI manage the heavy lifting so you can concentrate on delivering value where it matters most.
If you recognize that content is key to a successful eLearning course, you are no longer a beginner in this field. Start implementing your insights now to develop your course content using the eLearning Content Opportunity Finder, and discover what your learners are searching for before your competitors do.