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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
Lars de Vreugd; Anouschka van Leeuwen; Marieke van der Schaaf – Journal of Computer Assisted Learning, 2025
Background: University students need to self-regulate but are sometimes incapable of doing so. Learning Analytics Dashboards (LADs) can support students' appraisal of study behaviour, from which goals can be set and performed. However, it is unclear how goal-setting and self-motivation within self-regulated learning elicits behaviour when using an…
Descriptors: Learning Analytics, Educational Technology, Goal Orientation, Learning Motivation
Schmitz, Birgit; Hanke, Katja – Journal of Computer Assisted Learning, 2023
Background: The COVID-19 lockdown forced students and teachers to adjust to remote lecturers and digital learning material and design criteria for online classes became the centre of discussion. Objectives: The purpose of this empirical study was to investigate the relationship between design principles of educational online practices in higher…
Descriptors: Learner Engagement, Expectation, Instructional Effectiveness, Instructional Design
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
Ameloot, Elise; Rotsaert, Tijs; Schellens, Tammy – Journal of Computer Assisted Learning, 2022
Background: Although blended learning (BL) has multiple educational prospects, it also poses challenges such as keeping students motivated. Objectives: This study investigates students' perceptions of how learning analytics (LA) can be used to support the design of a BL environment in order to promote students' basic need for relatedness, which is…
Descriptors: Learning Analytics, Blended Learning, Student Attitudes, Need Gratification
Luciana Maria Cavichioli Gomes Almeida; Stefan Münzer; Tim Kühl – Journal of Computer Assisted Learning, 2024
Background: According to the personalization effect in multimedia learning, the use of personal and possessive pronouns in instructional materials (e.g., 'you' and 'your') is beneficial. However, current research suggests that the personalization effect is inverted for emotionally aversive content (e.g., illnesses). Objective: This study…
Descriptors: Foreign Countries, Health Education, Health Promotion, Information Sources
Fu, En; Gao, Qiufeng; Wei, Chuqian; Chen, Qianyi; Liu, Yijun – Journal of Computer Assisted Learning, 2021
Smartphone use in learning settings is a common behaviour amongst college students. Building on the theory of consumerism, self-efficacy and addictive behaviours, the current study developed a three-component conceptual framework to understand college students' smartphone use in organizational as well as self-directed learning settings. One…
Descriptors: Foreign Countries, College Students, Handheld Devices, Telecommunications
Cojean, Salomé; Jamet, Eric – Journal of Computer Assisted Learning, 2018
Information seeking (IS) has become a critical activity in video-based environments. Up to now, the effects of support on information seeking (i.e., scaffolding) have seldom been assessed. The twofold aim of the current study was to (a) assess the effects of scaffolding on IS in videos and (b) determine the characteristics of the users' mental…
Descriptors: Scaffolding (Teaching Technique), Information Seeking, Video Technology, Technology Uses in Education
Karvounidis, T.; Chimos, K.; Bersimis, S.; Douligeris, C. – Journal of Computer Assisted Learning, 2014
In this work, Web 2.0 technologies in higher education are evaluated using students' perceptions, satisfaction, performance and behaviour. The study evaluates the Web 2.0 tools as stand-alone entities as well in terms of their cross-operability and integration (confluence) to synergistic contributions towards the enhancement of student…
Descriptors: Web 2.0 Technologies, Computer Software Evaluation, Higher Education, Student Attitudes
Corlett, Dan; Sharples, Mike; Bull, Susan; Chan, Tony – Journal of Computer Assisted Learning, 2005
This paper describes a 10-month trial of a mobile learning organiser, developed for use by university students. Implemented on a wireless-enabled Pocket PC hand-held computer, the organiser makes use of existing mobile applications as well as tools designed specifically for students to manage their learning. The trial set out to identify the…
Descriptors: Course Content, Focus Groups, Telecommunications, Time Management