We Need Smarter, Not Faster, AI-powered e-Learning Authoring Tools
E-learning authoring tools incorporating AI-powered functionalities have emphasized course content generation to reduce production times and resource demands. However, this approach lacks thoughtful consideration of generative AI's potential impact on the quality of e-learning experiences. This article identifies current limitations in e-learning authoring tools and proposes directions that can guide vendors in incorporating functionalities that help e-learning producers create content that is both engaging to navigate and cognitively meaningful for learners.
Authors
- Natalia Echeverry
Institutions
- University of Pittsburgh (US)
Publication Details
- Journal
- eLearn
- Published
- 2026-01-22
- DOI
- https://doi.org/10.1145/3793702.3779227
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00