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Related papers: Is Log-Traced Engagement Enough? Extending Reading…

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The purpose of this paper is to determine potential identifiers of students' academic success in foundation mathematics course from the data logs of an intelligent tutor. A cross-sectional study design was used. A sample of 58 records was…

Computers and Society · Computer Science 2016-07-26 Anita Dani

Sustained effort is essential for realizing the benefits of intelligent tutoring systems (ITS), yet many learners disengage or underuse available practice time. We introduce engagement forecasting as a supervised prediction task based on…

Machine Learning · Computer Science 2026-05-14 Eric S. Qiu , Danielle R. Thomas , Boyuan Guo , Vincent Aleven , Conrad Borchers

Understanding and enhancing student engagement through digital platforms is critical in higher education. This study introduces a methodology for quantifying engagement across an entire module using virtual learning environment (VLE)…

Computers and Society · Computer Science 2024-12-17 Laura J. Johnston , Jim E. Griffin , Ioanna Manolopoulou , Takoua Jendoubi

In recent years, there is a lot of interest in modeling students' digital traces in Learning Management System (LMS) to understand students' learning behavior patterns including aspects of meta-cognition and self-regulation, with the…

Computers and Society · Computer Science 2023-03-31 Varun Mandalapu , Lujie Karen Chen , Sushruta Shetty , Zhiyuan Chen , Jiaqi Gong

The introductory programming course (CS1) at the university level is often perceived as particularly challenging, contributing to high dropout rates among Computer Science students. Identifying when and how students encounter difficulties…

Computers and Society · Computer Science 2026-04-28 Denis Zhidkikh , Ville Isomöttönen , Toni Taipalus

This work is an attempt to discover hidden structural configurations in learning activity sequences of students in Massive Open Online Courses (MOOCs). Leveraging combined representations of video clickstream interactions and forum…

Computers and Society · Computer Science 2014-09-23 Tanmay Sinha , Nan Li , Patrick Jermann , Pierre Dillenbourg

The study introduces a new analysis scheme to analyze trace data and visualize students' self-regulated learning strategies in a mastery-based online learning modules platform. The pedagogical design of the platform resulted in fewer event…

Physics Education · Physics 2021-12-06 Tom Zhang , Michelle Taub , Zhongzhou Chen

Reading assessments are essential for enhancing students' comprehension, yet many EdTech applications focus mainly on outcome-based metrics, providing limited insights into student behavior and cognition. This study investigates the use of…

Computers and Society · Computer Science 2025-03-05 Eduardo Davalos , Yike Zhang , Namrata Srivastava , Jorge Alberto Salas , Sara McFadden , Sun-Joo Cho , Gautam Biswas , Amanda Goodwin

Prior work has developed a range of automated measures ("detectors") of student self-regulation and engagement from student log data. These measures have been successfully used to make discoveries about student learning. Here, we extend…

Computers and Society · Computer Science 2025-05-20 Ashish Gurung , Jionghao Lin , Zhongtian Huang , Conrad Borchers , Ryan S. Baker , Vincent Aleven , Kenneth R. Koedinger

People often strive for deep engagement in activities which is usually associated with feelings of flow: a state of full task absorption accompanied by a sense of control and fulfillment. The intrinsic factors driving such engagement and…

Neurons and Cognition · Quantitative Biology 2024-09-11 Hairong Lu , Dimitri van der Linden , Arnold B. Bakker

In the context of higher education's evolving dynamics post-COVID-19, this paper assesses the impact of new pedagogical incentives implemented in a first-year undergraduate computing module at University College London. We employ a mixed…

Computers and Society · Computer Science 2024-03-25 Laura J. Johnston , Takoua Jendoubi

Learning analytics (LA) draws from the learning sciences to interpret learner behavior and inform system design. Yet, past personalization remains largely at the content or performance level (during learner-system interactions), overlooking…

Human-Computer Interaction · Computer Science 2026-02-03 Conrad Borchers , Hannah Deininger , Zachary A. Pardos

With the increase of distance learning, in general, and e-learning, in particular, having a system capable of determining the engagement of students is of primordial importance, and one of the biggest challenges, both for teachers,…

Computer Vision and Pattern Recognition · Computer Science 2023-03-24 Prabin Sharma , Shubham Joshi , Subash Gautam , Sneha Maharjan , Salik Ram Khanal , Manuel Cabral Reis , João Barroso , Vítor Manuel de Jesus Filipe

Interactive Educational Systems (IES) enabled researchers to trace student knowledge in different skills and provide recommendations for a better learning path. To estimate the student knowledge and further predict their future performance,…

Machine Learning · Computer Science 2021-01-22 Varun Mandalapu , Jiaqi Gong , Lujie Chen

This study explores the relationship between textual features and Information Engagement (IE) on digital platforms. It highlights the impact of computational linguistics and analytics on user interaction. The READ model is introduced to…

Computation and Language · Computer Science 2024-09-04 Nimrod Dvir

Software developers use metrics to evaluate code quality and productivity, but these practices are still rare in programming education. This project bridges the gap by collecting real-time learning analytics from individual student and…

Engagement is an essential indicator of the Quality-of-Learning Experience (QoLE) and plays a major role in developing intelligent educational interfaces. The number of people learning through Massively Open Online Courses (MOOCs) and other…

Computer Vision and Pattern Recognition · Computer Science 2022-04-14 Sarthak Batra , Hewei Wang , Avishek Nag , Philippe Brodeur , Marianne Checkley , Annette Klinkert , Soumyabrata Dev

Reflective writing is part of many higher education courses across the globe. It is often considered a challenging task for students as it requires self-regulated learning skills to appropriately plan, timely engage and deeply reflect on…

Computers and Society · Computer Science 2022-11-16 Wannapon Suraworachet , Qi Zhou , Mutlu Cukurova

In this study, we investigate the combination of indicators, including performance, behavioral engagement, and emotional engagement, to identify students experiencing difficulties. We analyzed data from two primary sources: digital traces…

Mobile applications and other integration of information and communication technology (ICT) have become well-known in education to monitor teaching and learning activities. The analysis of student learning through evaluation is a growing…

Human-Computer Interaction · Computer Science 2022-02-08 Ronel B. Dayanghirang , Alexander A. Hernandez
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