ITS 2018 Workshops
Intelligent Tutoring Systems 2018 Workshops

Table of Contents

• Preface
  
  

C&C@ITS2018: International Workshop on Context and Culture in Intelligent Tutoring Systems

• Preface 7-10
  Valéry Psyché, Isabelle Savard, Riichiro Mizoguchi, Jacqueline Bourdeau
• Context or Culture: What is the Difference? 11
  Isabelle Savard, Riichiro Mizoguchi
• Ontology-Based Context Modelling for Designing a Context-Aware Calculator 13-22
  Valéry Psyché, Claire Anjou, Wafa Fenani, Jacqueline Bourdeau, Thomas Forissier, Roger Nkambou
• Ontological Support for the Cultural Contextualisation of Intelligent Learning Environments for Adaptive Education 23-32
  Phaedra S. Mohammed
• Relevance of the Cultural Dimensions in Affective-Cognitive Behavior During Interaction with an Intelligent Tutoring System 33-40
  N. Sofia Huerta-Pacheco, Genaro Rebolledo-Méndez, Victor Aguirre, Sergio Hernandez-Gonzalez, Erica María Lara-Muñoz
• Cultural Factors Linked to Collaborative Learning in Intelligent Tutoring System in the Domain of Mathematics 41-50
  Erica María Lara-Muñoz, Genaro Rebolledo-Méndez, José Rafael Rojano-Cacéres, Nery Sofía Huerta-Pacheco

Learning Analytics Workshop: Building Bridges Between the Education and the Computing Communities

• Preface 51-53
  Sébastien Béland, Michel C. Desmarais, Nathalie Loye
• A Performance Predictor for Honors Students Based On Elman Neural Network 55-62
  Moke Xu, Xuyang Chen, Wenjun Wu
• Analyzing the Relationships Between Learning Analytics, Educational Data Mining and AI for Education 63-72
  Hugues Labarthe, Vanda Luengo, François Bouchet
• An Enrolment Admission Strategy Based on Data Analytics 73-79
  Michel C. Desmarais

Exploring Opportunities for Caring Assessments

• Preface 81-85
  Diego Zapata-Rivera, Julita Vassileva
• When Should an Adaptive Assessment Care? 87-94
  Blair Lehman, Jesse R. Sparks, Diego Zapata-Rivera
• Incorporating Emotional Intelligence into Assessment Systems 95-103
  Han-Hui Por, Aoife Cahill
• Diagnostic Assessment of Adults’ Reading Deficiencies in an Intelligent Tutoring System 105-112
  Genghu Shi, Anne M. Lippert, Andrew J. Hampton, Su Chen, Ying Fang, Arthur C. Graesser
• Tower of Questions: Gamified Testing to Engage Students in Peer Evaluation 113-119
  Nafisul Kiron, Julita Vassileva
• Exploring Gritty Students’ Behavior in an Intelligent Tutoring System 121-126
  Erik Erickson, Ivon Arroyo, Beverly Woolf
• Disengagement Detection Within an Intelligent Tutoring System 127-134
  Su Chen, Anne Lippert, Genghu Shi, Ying Fang, Arthur C. Graesser
• Assessments That Care About Student Learning 135-140
  Stephen E. Fancsali, Steven Ritter

Optimizing Human Learning: Workshop eliciting Adaptive Sequences for Learning

• Preface 141-143
  Fabrice Popineau, Michal Valko, Jill-Jênn Vie
• Optimizing Human Language Learning 145
  Masato Hagiwara
• Where’s the Reward? A Review of Reinforcement Learning for Instructional Sequencing 147
  Shayan Doroudi
• Knowledge Tracing Machines: Towards an Unification of DKT, IRT & PFA 149
  Jill-Jênn Vie
• SARLR: Self-adaptive Recommendation of Learning Resources 151-158
  Liping Liu, Wenjun Wu, Jiankun Huang
• An Adaptive Tutor to Promote Learners’ Skills Acquisition During Procedural Learning 159-164
  Joanna Taoum, Anaïs Raison, Elisabetta Bevacqua, Ronan Querrec
• Optimizing Recommendation in Collaborative E-Learning by Exploring DBpedia and Association Rules 165-170
  Samia Beldjoudi, Hassina Seridi