Design and Implementation of an AI-Driven Gamified Learning Web Platform : an Evidence-Based Approach to Adaptive Educational Technology
Shah, Anil; Gebrehiwot, Matusala (2025)
2025
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025112830674
https://urn.fi/URN:NBN:fi:amk-2025112830674
Tiivistelmä
The project developed an adaptive web-based learning platform that combined personalized question difficulty, structured gamification, and AI-assisted feedback. The system applied a rule-based Education Difficulty Level (EDL) algorithm to adjust task difficulty-based performance-derived effective age, ensuring transparent, auditable adaptivity.
Gamification features such as points, levels, streaks, and achievements were implemented to support motivation without affecting assessment validity, while AI components provided hints and explanations as strictly optional learning support. The platform was built using Next.js and Supabase to ensure secure data handling, consistent authentication, and efficient server-side logic.
Informal user testing with volunteer learners indicated that the adaptive question flow and progressive gamified feedback improved engagement and sustained participation. The results suggest that lightweight, interpretable adaptive mechanisms can effectively support learning and can be integrated into broader online teaching environments.
Gamification features such as points, levels, streaks, and achievements were implemented to support motivation without affecting assessment validity, while AI components provided hints and explanations as strictly optional learning support. The platform was built using Next.js and Supabase to ensure secure data handling, consistent authentication, and efficient server-side logic.
Informal user testing with volunteer learners indicated that the adaptive question flow and progressive gamified feedback improved engagement and sustained participation. The results suggest that lightweight, interpretable adaptive mechanisms can effectively support learning and can be integrated into broader online teaching environments.