A Deep Dive into a Groundbreaking Approach to Machine Learning-Powered E-Learning by Subhabrata Sengupta, Rupayan Das, Satyajit Chakrabarti

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Subtopic-specific heterogeneity in computer-based learning behaviors by HaeJin Lee, Nigel Bosch

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Innovations in Online Learning Analytics: A Review of Recent Research and Emerging Trends by Yidan Wang, Yuxuan Lai, Xiaoran Huang

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Analysis of the optimization of resources with Learning Analytics techniques by M-E. Torner, C. Aparicio-Fernández, J-L. Vivancos, M. Cañada-Soriano

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How an e-Learning Course Was Created to Support Primary Teachers’ Facilitation of Student Reflective Practice through Educational Vlogging by Molloy Ken, Crotty Yvonne

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Dataset of video game-based assessments in digital culture courses at Indoamerica UniversityMendeley Data by Miguel Cobos

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Deconstructing Students’ Language Identities On X: A Nigerian and Malaysian Case Study For Education by Azidah Abu Ziden, Adu Emmanuel Ifedayo

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Health professions students’ acceptance and readiness for learning analytics: lessons for educators by Farida Hussan, Hui Meng Er, Vishna Devi Nadarajah

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Log-Based Analysis of Creativity in the Context of Computational Thinking by Rotem Israel-Fishelson, Arnon Hershkovitz

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Learning Analytics for Bridging the Skills Gap: A Data-Driven Study of Undergraduate Aspirations and Skills Awareness for Career Preparedness by Joel Weijia Lai, Lei Zhang, Chun Chau Sze, Fun Siong Lim

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Data Analysis in Online Education: Tools and Techniques for Improving Academic Performance by Marian Stan, Mihai Ciobotea, Mihaela Covrig, Doina Liliana Badea

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Instructors’ Perceptions of the Use of Learning Analytics for Data-Driven Decision Making by Arnon Hershkovitz, G. Alex Ambrose, Tal Soffer

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LearningViz: a dashboard for visualizing, analyzing and closing learning performance gaps—a case study approach by Bo Pei, Ying Cheng, Alex Ambrose, Eva Dziadula, Wanli Xing, Jie Lu

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The impact of smart classrooms on the core literacy of college English learners and the relationship between core literacy and learning outcomes: Evidence from China by Xuefei Fan

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Latent space bias mitigation for predicting at-risk students by Ali Al-Zawqari, Dries Peumans, Gerd Vandersteen

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ColombiaTuitionSET: Labeled dataset for exploring socioeconomic status, career selection, and tuition fees at a Colombian public universityMendeley Data by Fernan A. Villa-Garzon, Maria A. Muñoz-Alarcon, John W. Branch-Bedoya

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Enhancing Feedback Quality at Scale: Leveraging Machine Learning for Learner-Centered Feedback by Ahmad Ari Aldino, Yi-Shan Tsai, Rafael Ferreira Mello, Dragan Gašević, Guanliang Chen

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Which videos are better for the students? Analyzing the student behavior and video metadata by Alex Martínez-Martínez, Raul Montoliu, Inmaculada Remolar

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Goal setting in higher education: how, why, and when are students prompted to set goals? A systematic review by Gabrielle Martins van Jaarsveld, Gabrielle Martins van Jaarsveld, Jacqueline Wong, Martine Baars, Marcus Specht, Fred Paas, Fred Paas

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Predicting at-risk students in the early stage of a blended learning course via machine learning using limited data by Zahra Azizah, Tomoya Ohyama, Xiumin Zhao, Yuichi Ohkawa, Takashi Mitsuishi

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