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ITS 2019 – Research and Papers

A Learning Early-Warning Model Based on Knowledge Points

Jiahe Zhai, Zhengzhou Zhu, Deqi Li, Nanxiong Huang, Kaiyue Zhang, Yuqi Huang

Adaptive Learning Spaces with Context-Awareness

Valéry Psyché, Ben Daniel, Jacqueline Bourdeau

An Adaptive Approach to Provide Feedback for Students in Programming Problem Solving

Priscylla Silva, Evandro Costa, Joseana Régis de Araújo

Assessing Students’ Clinical Reasoning Using Gaze and EEG Features

Imène Jraidi, Asma Ben Khedher, Maher Chaouachi, Claude Frasson

Computer-Aided Intervention for Reading Comprehension Disabilities

Chia-Ling Tsai, Yong-Guei Lin, Wen-Yang Lin, Marlene Zakierski

Intelligent On-line Exam Management and Evaluation System

Tsegaye Misikir Tashu, Julius P. Esclamado, Tomas Horvath

On the Discovery of Educational Patterns using Biclustering

Rui Henriques, Anna Carolina Finamore, Marco Antonio Casanova

PKULAE: A Learning Attitude Evaluation Method Based on Learning Behavior

Deqi Li, Zhengzhou Zhu, Youming Zhang, Zhonghai Wu

Predicting MOOCs Dropout Using Only Two Easily Obtainable Features from the First Week’s Activities

Ahmed Alamri, Mohammad Alshehri, Alexandra Cristea, Filipe D. Pereira, Elaine Oliveira, Lei Shi et al.

Predicting Subjective Enjoyment of Aspects of a Videogame from Psychophysiological Measures of Arousal and Valence

Julien Mercier, Pierre Chalfoun, Matthew Martin, Ange Adrienne Tato, Daniel Rivas

Toward Real-Time System Adaptation Using Excitement Detection from Eye Tracking

Hamdi Ben Abdessalem, Maher Chaouachi, Marwa Boukadida, Claude Frasson