Enseignement
UE IA-EIAH (INF2351M) - Environnements Informatiques pour l'Apprentissage Humain
Master 2 Intelligence Artificielle (IA)
2023-2024
Liste des articles :
- A1 - What Makes Problem-Solving Practice Effective? Comparing Paper and AI Tutoring
EC-TEL 2023 - C. Borchers, P. F. Carvalho, M. Xia, P. Liu, K. R. Koedinger, V. Aleven (15 pages) - A2 - Cross-Cutting Support of Making and Explaining Decisions in Intelligent Tutoring Systems Using Cognitive Maps of Knowledge Diagnosis
ITS 2022 - V. Uglev, O. Sychev, T. Gavrilova (14 pages) - A3 - The Promise of Physiological Data in Collaborative Learning: A Systematic Literature Review
EC-TEL 2023 - W. Febriantoro, A. Gauthier, M. Cukurova (15 pages) - A4 - Encouraging Errors Through Gradual Feedback to Improve Vocabulary Learning
CSEDU 2023 - L. Ansteeg, T. Dijkstra, F. Leoné (13 pages) - A5 - Role of Multimodal Learning Systems in Technology-Enhanced Learning (TEL): A Scoping Review
EC-TEL 2023 - Y. Lee, B. Limbu, Z. Rusak, M. Specht (19 pages) - A6 - AlgoPoint as an Original Didactic Tool for Introductory Programming Using Flowcharts
CSEDU 2023 - M. Stefanowicz, A.Sasak-Oko´n (9 pages) - A7 - Exploring Human–AI Control Over Dynamic Transitions Between Individual and Collaborative Learning
EC-TEL 2020 - V. Echeverria, K. Holstein, J. Huang, J. Sewall, N. Rummel, V. Aleven (14 pages) - A8 - Student Performance Prediction Using Dynamic Neural Models
EDM 2021 - M. Delianidi, K. Diamantaras, G. Chrysogonidis, V. Nikiforidis (9 pages) - A9 - Is the Scratch Programming Environment Ideal for all? Enhancements to the Scratch IDE to Make it Easier to Use and More Useful for Students and Teachers
CSEDU 2023 - S. Federici, E. Gola, E. Sergi (11 pages) - A10 - Behavioral Testing of Deep Neural Network Knowledge Tracing Models
EDM 2021 - M. Kim, Y. Shim, S. Lee, H. Loh, J. Park (13 pages) - A11 - Identifying Metacognitive Processes Using Trace Data in an Open-Ended Problem-Solving Learning Environment
ITS 2022 - R. Pathan, D. Singh, S. Murthy, R. Rajendran (14 pages) - A12 - Using the ITS Components in Improving the Q-Learning Policy for Instructional Sequencing
ITS 2023 - A. Yessad (10 pages) - A13 - Ontological Reference Model for Piloting Procedures
ITS 2022 - M-A. Courtemanche, A. Tato, R. Nkambou (10 pages) - A14 - Student Strategy Prediction using a Neuro-Symbolic Approach
EDM 2021 - A. Shakya, V. Rus, D. Venugopal (12 pages) - A15 - Improving Learning Motivation for Out-of-Favour Subjects
CSEDU 2023 - F. Böck1, D. Landes, Y. Sedelmaier (11 pages) - A16 - Recommending Mathematical Tasks Based on Reinforcement Learning and Item Response Theory
ITS 2023 - M. Orsoni, A. Pögelt, N. Duong-Trung, M. Benassi, M. Kravcik, M. Grüttmüller (13 pages) - A17 - Supporting Self-regulated Learning in BL: Exploring Learners’ Tactics and Strategies
EC-TEL 2022 - E. Villalobos, M. Pérez-Sanagustín, C. Sanza, A. Tricot, J. Broisin (14 pages) - A18 - Investigating the Utility of Self-explanation Through Translation Activities with a Code-Tracing Tutor
AIED 2023 - M. CaugheyKasia, M. Muldner (12 pages) - A19 - How to Generate Early and Accurate Alerts of At-Risk of Failure Learners?
ITS 2023 - A. Ben Soussia, A. Roussanaly, A. Boyer (12 pages) - A20 - What Indicators Can I Serve You with? An Evaluation of a Research-Driven Learning Analytics Indicator Repository
CSEDU 2022 - A. Ahmad, J. Schneider, J. Weidlich, D. Di Mitri, J. Yin-Kim Yau, D. Schiffner, H. Drachsler (11 pages) - A21 - Who are My Peers? Learner-Controlled Social Comparison in a Programming Course
EC-TEL 2022 - K. Akhuseyinoglu, A.K. Milicevic, P. Brusilovsky (15 pages) - A22 - Can You Solve This on the First Try? – Understanding Exercise Field Performance in an Intelligent Tutoring System
AIED 2023 - H. Deininger, R. Lavelle-Hill, C. Parrisius, I. Pieronczyk, L. Colling, D. Meurers, U. Trautwein, B. Nagengast, G. Kasneci (12 pages) - A23 - user2code2vec: embeddings for profiling students based on distributional representations of source code
LAK 2019 - D. Azcona, P. Arora, S. Hsiao, A. Smeaton (10 pages) - A24 - Evaluating the fairness of predictive student models through slicing analysis
LAK 2019 - J. Gardner, C. Brooks, R. Baker (10 pages)