Journal Track
AIED has a special track for journal papers that are accepted during the year by the Journal of Artificial Intelligence supported by the AIED Society . Below you can find the papers and sessions that belong to this track.
See Programme Overview – AIED2022 for updated Journal Track Schedule.
Slot #1BST )
Title Authors Exploring Teachers’ Perceptions of Artificial Intelligence as a Tool to Support their Practice in Estonian K-12 Education Irene-Angelica Chounta, Emanuele Bardone, Aet Raudsep & Margus Pedaste Disparities in Students’ Propensity to Consent to Learning Analytics Warren Li, Kaiwen Sun, Florian Schaub & Christopher Brooks Neurophysiological Measurements in Higher Education: A Systematic Literature Review Ali Darvishi, Hassan Khosravi, Shazia Sadiq & Barbara Weber Augmenting Video Lectures: Identifying Off-topic Concepts and Linking to Relevant Video Lecture Segments Krishnendu Ghosh, Sharmila Reddy Nangi, Yashasvi (5) Kanchugantla, Pavan Gopal Rayapati, Plaban Kumar Bhowmick & Pawan Goyal Automated Data-Driven Generation of Personalized Pedagogical Interventions in Intelligent Tutoring Systems Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Varun Gupta, Iulian Vlad Serban & Joelle Pineau Intelligent Tutoring for Surgical Decision Making: a Planning-Based Approach Narumol Vannaprathip, Peter Haddawy, Holger Schultheis & Siriwan Suebnukarn
Session: Journal Track 2BST )
Title Authors Patterns of Adults with Low Literacy Skills Interacting with an Intelligent Tutoring System Ying Fang, Anne Lippert, Zhiqiang Cai, Su Chen, Jan C. Frijters, Daphne Greenberg & Arthur C. Graesser Exploring Design Concepts to Enable Teachers to Monitor and Adapt Gamification in Adaptive Learning Systems: A Qualitative Research Approach Kamilla Tenório, Diego Dermeval, Mateus Monteiro, Aristoteles Peixoto & Alan Pedro da Silva Education for AI, not AI for Education: The Role of Education and Ethics in National AI Policy Strategies Daniel Schiff Equality of Learning Opportunity via Individual Fairness in Personalized Recommendations Mirko Marras, Ludovico Boratto, Guilherme Ramos & Gianni Fenu Detecting Children’s Fine Motor Skill Development using Machine Learning Seth Polsley, Larry Powell, Hong-Hoe Kim, Xien Thomas, Jeffrey Liew &Tracy Hammond Moodoo the Tracker: Spatial Classroom Analytics for Characterising Teachers’ Pedagogical Approaches Roberto Martinez-Maldonado, Vanessa Echeverria, Katerina Mangaroska, Antonette Shibani, Gloria Fernandez-Nieto, Jurgen Schulte & Simon Buckingham Shum
Slot #2BST )
Title Authors Leveraging Granularity: Hierarchical Reinforcement Learning for Pedagogical Policy Induction Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin, Tiffany Barnes & Min Chi Context Matters: Differing Implications of Motivation and Help-Seeking in Educational Technology Shamya Karumbaiah, Jaclyn Ocumpaugh & Ryan S. Baker Choice Architecture for Nudges to Support Constructive Learning in Active Video Watching Vania Dimitrova & Antonija Mitrovic Keep Me in the Loop: Real-Time Feedback with Multimodal Data Daniele Di Mitri, Jan Schneider & Hendrik Drachsler Algorithmic Bias in Education Ryan S. Baker & Aaron Hawn Machine Learning and Hebrew NLP for Automated Assessment of Open-Ended Questions in Biology Moriah Ariely, Tanya Nazaretsky & Giora Alexandron
