What ChatGPT says…

Why use LEAi instead…

1. Lack of Domain-Specific Expertise

ChatGPT has a broad understanding of topics, but its depth in specialized fields may not match that of a subject matter expert (SME). Learning often requires highly accurate and nuanced content tailored to specific industries, compliance standards, or technical domains.

1. High Domain-Specific Expertise

Instead of relying on generic knowledge pulled from the internet, LEAi uses an organization’s intellectual property, such as documents, HTML pages, and webinar recordings, to ensure that training content is tailored to develop highly accurate and industry-specific training experiences.

2. No Built-In Instructional Design

Effective learning relies on instructional design principles, such as sequencing, scaffolding, and alignment with learning objectives. ChatGPT generates content without inherently applying these principles, potentially leading to content that isn’t pedagogically effective.

2. Built-in Learning Science & Learning Expertise

While ChatGPT can generate content quickly, it lacks an inherent understanding or application of pedagogical frameworks.

LEAi embeds a proven learning framework and in-app guidance to create pedagogically sound content.

3. Absence of Interactivity

eLearning platforms often include interactive elements like quizzes, simulations, and gamification to engage learners. ChatGPT does not generate dynamic, interactive content and might require additional tools or expertise to integrate such features.

3. Automatic Interactive Components

Unlike ChatGPT, LEAi includes pre-built features to automatically create interactive and visually appealing content, such as quizzes, multimedia demonstrations, and other learner-centric materials, without requiring extensive learning expertise.

4. Lack of Customization for Learning Styles

Learners have diverse needs and preferences, including visual, auditory, and kinesthetic learning styles. ChatGPT primarily produces text-based outputs, which may not cater to all learners unless supplemented with visuals, videos, or hands-on activities.

4. Built-in Customization for Learning Styles

LEAi is specifically designed to support the creation of comprehensive learning materials that cater to multiple learning styles by integrating multimedia elements—such as images, infographics, videos, and interactive components.

Then, it can be repurposed to meet diverse learner requirements without additional time or external tools.

5. Limited Support for Compliance and Accessibility

Creating eLearning content that complies with accessibility standards (e.g., WCAG) and legal requirements (e.g., GDPR or HIPAA) demands careful attention to detail. ChatGPT cannot guarantee compliance, leaving room for potential legal or usability issues.

5. Compliance and Accessibility Built into Exported eLearning

LEAi ensures content aligns with accessibility guidelines and seamlessly integrates compliance considerations.

Its focus on instructional design principles and ability to handle compliance challenges make it a more reliable solution for organizations committed to delivering high-quality, inclusive, and legally compliant training programs.

6. No Built-In Analytics or Assessment Tracking

eLearning platforms often include analytics to measure learner progress and outcomes. ChatGPT lacks the ability to track, assess, or analyze learner data, which is critical for evaluating the effectiveness of training programs.

6. Analytics and Tracking Automatically Applied

While ChatGPT is an excellent conversational AI tool, it cannot track, assess, or analyze learner data.

When exporting eLearning as a SCORM file from LEAi, courses are designed to track learner engagement and help drive the direction of future training programs. Then, upload to your LMS platforms, like Skilljar (which is integrated with LEAi).

7. Risk of Inaccurate or Outdated Information

While ChatGPT can provide detailed and well-written content, it may occasionally generate inaccurate or outdated information, especially for rapidly evolving fields. This poses a risk to the quality and credibility of the eLearning material.

7. Uses Input from SME for Accurate Information

ChatGPT relies on information that may not align with the latest industry knowledge or standards.

In contrast, LEAi uses input from SMEs and includes functionality to update this quickly when a solution changes, making it a superior choice for building accurate and relevant training.

8. Lack of Visual or Multimedia Content

Engaging eLearning often incorporates rich multimedia, including videos, infographics, and animations. ChatGPT is limited to generating text and does not create visual or multimedia elements without external tools or resources.

8. Develops Robust eLearning Experiences

LEAi is a better tool for creating eLearning materials because it integrates multimedia content generation directly into its workflow.

By offering capabilities to seamlessly embed visuals, animations, and interactive elements, LEAi provides a more comprehensive solution for developing robust eLearning experiences.

9. Time-Consuming Post-Editing

Content generated by ChatGPT often requires review and editing to ensure accuracy, relevance, and tone. This can be time-consuming and may offset the efficiency gained during content generation.

9. Minimizes Editing and Updating

While the initial generation process is quick, fine-tuning and verifying ChatGPT output can sometimes offset the efficiency gains, especially when dealing with specialized or highly regulated content.

LEAi aligns closely with learning and development objectives, reducing the need for extensive post-editing. The AI generates learning content directly from an organization’s IP with minimal editing required.

10. Ethical Concerns

There could be ethical issues with relying on AI for educational content creation, such as biases in the AI’s outputs or a lack of acknowledgment for its contribution, which might mislead learners about the origin of the material.

10. Reduced Ethical or Bias Concerns

Content from generic AI tools such as ChatGPT may perpetuate stereotypes or present skewed perspectives based on the data the AI was trained on.

Tools like LEAi are a better option because they rely on content provided by the organization and its SMEs. They also allow users to actively curate and refine the AI-generated content to address potential ethical challenges, foster trust and confidence in the quality of the educational material it helps create.

11. Limited Personalization

ChatGPT doesn’t have the capability to deeply personalize learning experiences for individual users based on their prior knowledge, performance, or specific learning paths.

11. Personalize Content

While it provides general guidance and generates responses based on input, tools like ChatGPT lack the advanced features required to adapt to each learner’s unique journey.

LEAi is designed to create structured content which can be tailored and repurposed to meet diverse learner requirements, like testing, without requiring additional time-consuming adjustments or external tools.

12. Limited Customization

ChatGPT requires manual input to incorporate company-specific intellectual property (IP), proprietary configurations, and internal methodologies. 

While ChatGPT can create role-based learning paths for different audiences (e.g., administrators, end-users, partners), it does not automatically adjust content based on internal workflows or business priorities. Instead, it relies on explicit prompts to customize courses for different personas, meaning companies must manually refine AI-generated content to ensure it aligns with real-world use cases and specific learner needs.

12. Customizing Customer- and Audience-Specific Training

Unlike ChatGPT, which requires manual adjustments, LEAi can extract structured knowledge from internal documentation, ensuring that proprietary workflows, product configurations, and compliance requirements are automatically incorporated into the course. 

Additionally, LEAi enables persona-based customization, allowing companies to efficiently create different versions of training for technical users, decision-makers, and partners without redundant manual effort.