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Lesson Learned from the Pandemic for Learning Physics
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Al-Zohbi, Gaydaa; Pilotti, Maura A. E.; Barghout, Kamal; Elmoussa, Omar; Abdelsalam, Hanadi – Journal of Computer Assisted Learning, 2023
Background: Valuable safeguards against fast-spreading conjectures about learning in times of fear and uncertainty are evidence-based approaches to the assessment of the impact of sudden and unforeseen disruptions on learning practices. The present research focused on physics learning in such times because conceptual and computational literacy in…
Descriptors: COVID-19, Pandemics, Physics, Science Education
Exploring the Effects of Gender in Skills Acquisition in Collaborative Learning Based on the Ontological Clustering Model
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Asma Hadyaoui; Lilia Cheniti-Belcadhi – Journal of Computer Assisted Learning, 2024
Background: Project-based collaborative learning (PBCL) is a technique that supports knowledge and skill development through complex, real-world projects. Understanding factors that influence group performance in PBCL, such as gender composition, is crucial. Objectives: This study investigates the impact of gender composition on group performance…
Descriptors: Gender Differences, Skill Development, Cooperative Learning, Active Learning
Online versus Face-to-Face Cheating: The Prevalence of Cheating Behaviours during the Pandemic Compared to the Pre-Pandemic among Turkish University Students
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Yazici, Sedat; Yildiz Durak, Hatice; Aksu Dünya, Beyza; Sentürk, Burcu – Journal of Computer Assisted Learning, 2023
Background: During the COVID-19 period, academics and higher education institutions have shown deep concern about academic integrity related to measurement and evaluation issues that have arisen in online education. Objectives: To address this concern, this paper examined the prevalence of cheating behaviour among university students before and…
Descriptors: Foreign Countries, College Students, Cheating, Student Behavior
An Exploration of Gendered Differences in Cognitive, Motivational and Emotional Aspects of Game-Based Math Learning
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Lu Zhang; Yue Lei; Tim Pelton; Leslee Francis Pelton; Junjie Shang – Journal of Computer Assisted Learning, 2024
Background: Digital game-based learning (DGBL) has the potential to provide a gender inclusive learning environment for children. Objective: The present study aimed to explore gendered differences among primary school learners in grades three, four, and five within the context of game-based fraction learning from cognitive, motivational and…
Descriptors: Gender Differences, Game Based Learning, Mathematics Education, Electronic Learning
Level of Intrinsic Motivation of Distance Education Students in e-Learning Environments
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Firat, Mehmet; Kilinç, Hakan; Yüzer, Tevfik Volkan – Journal of Computer Assisted Learning, 2018
According to researches, motivation that initiates and sustains behaviour is one of the most significant components of learning in any environment. Accordingly, level of intrinsic motivation triggers and sustains the interest of the open and distance education students when it comes to learning on their own in e-learning environments. Despite a…
Descriptors: Distance Education, Student Motivation, Electronic Learning, Educational Technology
Perceptions of Learning Effectiveness in M-Learning: Scale Development and Student Awareness
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Chang, Wen-Hui; Liu, Yuan-Chen; Huang, Tzu-Hua – Journal of Computer Assisted Learning, 2017
The purpose of this study is to develop a multi-dimensional scale to measure students' awareness of key competencies for M-learning and to test its reliability and validity. The Key Competencies of Mobile Learning Scale (KCMLS) was determined via confirmatory factor analysis to have four dimensions: team collaboration, creative thinking, critical…
Descriptors: Test Construction, Multidimensional Scaling, Electronic Learning, Test Reliability