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Saleh Alhazbi; Afnan Al-ali; Aliya Tabassum; Abdulla Al-Ali; Ahmed Al-Emadi; Tamer Khattab; Mahmood A. Hasan – Journal of Computer Assisted Learning, 2024
Background: Measuring students' self-regulation skills is essential to understand how they approach their learning tasks in order to identify areas where they might need additional support. Traditionally, self-report questionnaires and think aloud protocols have been used to measure self-regulated learning skills (SRL). However, these methods are…
Descriptors: Learning Analytics, Independent Study, Higher Education, College Students
Maarten Sluijs; Uwe Matzat – Journal of Computer Assisted Learning, 2024
Background: Technological innovations such as Learning Management Systems (LMS) are becoming more and more prevalent in the learning environments of students. Distilling and acting on knowledge gathered from these systems, the field known as learning analytics, allows educators to hone their craft and support students more effectively by providing…
Descriptors: Time Management, Learning Analytics, Learning Management Systems, Predictive Measurement
Watanabe, Hiroyuki; Chen, Li; Geng, Xuewang; Goda, Yoshiko; Shimada, Atsushi – International Association for Development of the Information Society, 2020
Learning skills include abilities, habits, understanding, and attitudes which are utilized to achieve learning. Students will not achieve good grades unless they properly manage their limited study time. However, it is not easy for them to organize their own study time and learn how to use it efficiently. Notably, learning analytics has not been…
Descriptors: Time Management, Learning Analytics, Skill Development, Self Management
Celik, Ismail; Gedrimiene, Egle; Silvola, Anni; Muukkonen, Hanni – Policy Futures in Education, 2023
Emerging technological advancements can play an essential role in overcoming challenges caused by the COVID-19 pandemic. As a promising educational technology field, Learning Analytics (LA) tools or systems can offer solutions to COVID-19 pandemic-related needs, obstacles, and expectations in higher education. In the current study, we…
Descriptors: Higher Education, Electronic Learning, Distance Education, Pandemics
Cormack, Sophie H.; Eagle, Laurence A.; Davies, Mark S. – Assessment & Evaluation in Higher Education, 2020
Many studies have found a relationship between students' self-reported procrastination and their grades. Few studies have used learning analytic data as a behavioural measure of procrastination in order to predict performance, and there is no systematic research on how this relationship may differ across assessments or disciplines. In this study…
Descriptors: Correlation, Time Management, Academic Achievement, Grades (Scholastic)
Bonner, Euan; Garvey, Kevin; Miner, Matthew; Godin, Sam; Reinders, Hayo – Innovation in Language Learning and Teaching, 2023
This paper reports on the development and piloting of Classmoto, an online application designed to measure learner engagement. The application enables teachers to collect real-time analytics of student social, affective, and cognitive engagement. The results are immediately visible to the teacher. We investigated and reported on the engagement…
Descriptors: Foreign Countries, Learner Engagement, English (Second Language), Second Language Learning
Ifenthaler, Dirk, Ed.; Isaías, Pedro, Ed.; Sampson, Demetrios G., Ed. – Cognition and Exploratory Learning in the Digital Age, 2022
This volume focuses on the implications of digital technologies for educators and educational decision makers that are not widely represented in the literature. The chapters contained in the volume are based on the presentations at the 2020 edition of the CELDA conference and cover multiple developments in the field such as deploying learning…
Descriptors: Educational Technology, Electronic Learning, Technology Integration, Teaching Methods