EDM

Personalizing Second Language Learning: Integrating AI with Learner Preference, Proficiency, and Engagement

Fri Jul 3, 9:00 AM–9:25 AM · North 202

Adaptive & Personalized Learning Writing & Language Learning Motivation, Gamification & Engagement Learner & Student Modeling

★ Notable speakers

Wim Van Den Noortgate ★★ — Multilevel meta-analysis, psychometrics, statistical methods for learning analytics

Piet Desmet ★★ — Computer-Assisted Language Learning (CALL); AI-based adaptive language learning and learning analytics

Anaïs Tack ★ — NLP for education: readability, lexical difficulty, automated essay scoring, and evaluating LLMs as teachers

Fien Depaepe ★ — Technology-enhanced learning environments, teacher professional competence, instructional design, learning analytics in mathematics education

Celine Vens ★ — Machine learning for education and health, multi-output prediction, explainable AI, personalized learning

Frederik Cornillie ★ — Computer-assisted language learning (CALL), digital game-based language learning, task-based learning with adaptive systems

A paper on personalizing second language learning by integrating AI with data on learner preferences, proficiency levels, and engagement patterns.

Authors

Alireza Gharahighehi, Pedro Ilídio, Sameh Said-Metwaly, Ann-Sophie Noreillie, Robbe D’hondt, Anaïs Tack, Felipe Kenji Nakano, Changsheng Chen, Ann Fastré, Lucy Van Kleunen, Helena Van Nuffel, Fien Depaepe, Wim Van Den Noortgate, Celine Vens, Piet Desmet, Frederik Cornillie