GenEd – e-learning course production case study

GenEd AI is at the forefront of integrating human creativity with artificial intelligence to revolutionize education. With expertise in AI course design, human-in-the-loop quality assurance, AI content production, and research validation, GenEd AI ensures that AI-driven education is engaging, accurate, and impactful.

Blue Carrot, in collaboration with GenEd, embarked on a journey to explore emerging innovations, assess their real-world applicability, and develop a production process to seamlessly integrate AI tools at every stage of the development of an e-learning course, starting from instructional design to scripting and video creation. The goal was to accelerate production speed, reduce costs, and minimize the need for Subject Matter Experts (SMEs), thus enhancing efficiency, resilience, and scalability across the entire workflow.

Due to the novelty of these technologies, the lack of standards, and their lack of prior experience within the market, the main challenges were as follows:

• Maintaining the high quality of courses while integrating AI;
• Adapting the production process to new technologies and emerging tools;
• Creating proprietary workflows for interacting with these technologies;
• Validating the obtained results with subject matter experts;
• Validating the obtained results with the general audience/consumers of the content.

The project consisted of the following stages:

1. Developing the learning strategy;

2. Creating blueprints;

3. Writing video scripts;

4. Designing interactive and assessment components;

5. Validating all deliverables with an expert;

6. Producing media components, including videos, UI interface visuals, and the storyline shell.

Integrating AI tools at every production stage enabled us to achieve a course development process that is 25 times faster than traditional methods, all while maintaining the same quality. AI-driven instructional design significantly lessened our dependency on SMEs; synthetic videos allowed us to bypass live filming, enhancing efficiency, scalability, and cost-effectiveness. Remarkably, the entire lesson was created in less than a week.

The research results and demo project were presented at AIED 2023, a leading conference on AI in education held in Japan, where they were well received by the audience. Attendees viewed the study as innovative and pioneering, particularly for its practical approach to applying generative AI in learning design. One professor from a Japanese university approached the team afterward, calling the DDDM prototype a “notable step” and asking about potential future studies to build on it. Another attendee appreciated the side-by-side comparison of traditional and AI-driven workflows, commenting that it was “refreshing to see real-world applications, not just theory.” The presentation sparked interest and discussion about further exploring AI in education. Since then, the paper has been cited multiple times a week in studies worldwide, reflecting its ongoing relevance.