AI-based multidisciplinary framework to assess the impact of gamified video-based learning through schema and emotion analysis

AI-based multidisciplinary framework to assess the impact of gamified video-based learning through schema and emotion analysis

AI-based multidisciplinary framework to assess the impact of gamified video-based learning through schema and emotion analysis

Anjana Junius Vidanaralage, Anuja Thimali Dharmaratne, Shamsul Haque

Abstract

"As a natural and continual process, the initial learning stages encompass mastering and recalling basic facts. The process proves effective with the integration of new information with pre-existing knowledge characterised as schema to facilitate memory encoding. Additionally, emotions also have the ability to modulate human cognition in terms of learning and memory. The recent advent of gamification in e-learning, which has garnered much scholarly and industrial interest, necessitates a thorough examination between video-based learning and its subsequent implications on schema, emotions, and gamification."

Reference

Vidanaralage, A. J., Dharmaratne, A. T., & Haque, S. (2022). AI-based multidisciplinary framework to assess the impact of gamified video-based learning through schema and emotion analysis. Computers and Education: Artificial Intelligence, 3, 100109. https://www.sciencedirect.com/science/article/pii/S2666920X22000649

Keywords

Artificial intelligence, Education technology, Emotion recognition