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DC in LAK 2022
Proceedings of the 4th Workshop on Predicting Performance Based on the Analysis of Reading Behavior
Proceedings of the 4th Workshop on Predicting Performance Based on the Analysis of Reading Behavior - DC in LAK22
co-located with 12th International Learning Analytics and Knowledge Conference (LAK22)
Online (initially located in California, USA), March 22nd, 2022.
* Kyoto University,
606-8501 Kyoto, Japan
** Kyushu University,
819-0395 Fukuoka, Japan
Table of Contents
Summary: Each paper submitted to the workshop underwent a rigorous double-blind review by at least two reviewers. Each paper was evaluated with respect to four criteria: 1) quality of content, 2) significance for theory and practice, 3) originality and level of innovativeness, 4) fitting to the workshop theme. The review results of each paper were subsequently discussed by the six workshop chairs resulting in a decision of acceptance or rejection. There were 6
papers submitted for peer-review to this workshop. Out of these,
papers were accepted as regular papers for this volume.
Exploring the Use of Probabilistic Latent Representations to Encode the Students' Reading Characteristics
Erwin D. Lopez Z.,
Predicting Student Performance based on Lecture Materials Data using Neural Network Models
Preliminary Personal Trait Prediction from High School Summer Vacation e-learning Behavior
Design of a User-Interpretable Math Quiz Recommender System for Japanese High School Students
An Analysis of Reading Process based on Real-time Eye-tracking Data with Web-camera--Focus on English Reading at Higher Education Level
A Preliminary Study on Student Classroom Reading vs Digital Reading Pattern Behavior Analysis during Pandemic
Divanshi Priyadarshni Wangoo,
2022-03-22: submitted by Brendan Flanagan, Huiyong Li
metadata incl. bibliographic data published under Creative Commons CC0
2022-04-12: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)