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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
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
Gafni, Ruti; Goldstein, Anat – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2020
Aim/Purpose: The purpose of this study is to discover usage differences in task performance by students of different cultures, by examining procrastination patterns from a national cultural perspective and exploring the effect of multicultural virtual teamwork on students' individual procrastination. Background: This study aims to examine…
Descriptors: Teamwork, Time Management, Intercultural Communication, Online Courses
Wan, Han; Zhong, Zihao; Tang, Lina; Gao, Xiaopeng – IEEE Transactions on Learning Technologies, 2023
Small private online courses (SPOCs) have influenced teaching and learning in China's higher education. Learning management systems (LMSs) are important components in SPOCs. They can collect various data related to student behavior and support pedagogical interventions. This research used feature engineering and nearest neighbor smoothing models…
Descriptors: Online Courses, Learning Management Systems, Higher Education, Student Behavior
Watanabe, Hiroyuki; Goda, Yoshiko; Shimada, Atsushi; Yamada, Masanori – International Association for Development of the Information Society, 2021
Learning assistance is an essential part of higher education. Tutors, the core of the assistance staff, need to have learning assistance skills. If the potential for these skills can be identified when selecting tutors, the training method will be more efficient. Also, learning assistance skills are thought to be related to learning skills.…
Descriptors: Learning Analytics, Higher Education, Tutors, Learning Processes