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Olga Viberg; Martine Baars; Rafael Ferreira Mello; Niels Weerheim; Daniel Spikol; Cristian Bogdan; Dragan Gasevic; Fred Paas – Journal of Computer Assisted Learning, 2024
Background Study: Peer feedback has been used as an effective instructional strategy to enhance students' learning in higher education. Objectives: This paper reports on the findings of an explorative study that aimed to increase our understanding of the nature and role of peer feedback in the students' learning process in a computer-supported…
Descriptors: Feedback (Response), Peer Evaluation, Computer Assisted Instruction, Cooperative Learning
Dipali Basumatary; Ranjan Maity – Journal of Computer Assisted Learning, 2024
Background: Augmented reality can provide a 3D virtual experience, widely used in modern education. However, the impact of these applications on the underdeveloped tribal community has yet to be investigated. To our knowledge, no markerless augmented reality application has been developed especially for learning the language of the Bodo tribe.…
Descriptors: Computer Simulation, Language Maintenance, Tribes, Teaching Methods
Froehlich, Laura; Sassenberg, Kai; Jonkmann, Kathrin; Scheiter, Katharina; Stürmer, Stefan – Journal of Computer Assisted Learning, 2023
Background: The use of e-exams in higher education is increasing. However, the role of student diversity in the acceptance of e-exams is an under-researched topic. In the current study, we considered student diversity in terms of three sociodemographic characteristics (age, gender, and second language) and three dispositional student…
Descriptors: Student Diversity, Student Attitudes, Computer Assisted Testing, Student Characteristics
Xin Gong; Weiqi Xu; Ailing Qiao; Zhixia Li – Journal of Computer Assisted Learning, 2025
Background: Robot programming can simultaneously cultivate learners' computational thinking (CT) and spatial thinking (ST). However, there is a noticeable gap in research focusing on the micro-level development patterns of learners' CT and ST and their interconnections. Objectives: This study aims to uncover the intricate development patterns and…
Descriptors: Mental Computation, Thinking Skills, Skill Development, Robotics
Pellas, Nikolaos – Journal of Computer Assisted Learning, 2023
Background: Owing to the exponential growth of three-dimensional (3D) environments amongst researchers and educators to create simulation games (SGs) in primary education, there is a growing interest to examine their potential support in computer science courses instead of visual programming environments. Objectives: This study explores the…
Descriptors: Computation, Thinking Skills, Programming, Skill Development
Gao, Ming; Zhang, Jingjing; Lu, Yu; Kahn, Ken; Winters, Niall – Journal of Computer Assisted Learning, 2023
Background: As a non-cognitive trait, grit plays an important role in human learning. Although students higher in grit are more likely to perform well on tests, how they learn in the process has been underexamined. Objectives: This study attempted to explore how students with different levels of grit behave and learn in an exploratory learning…
Descriptors: Resilience (Psychology), Academic Persistence, Personality Traits, Usability
Porter, J. – Journal of Computer Assisted Learning, 2018
Tablets have much to offer children with learning difficulties, but evidence of their effectiveness to teach academic skills is limited and cannot be easily separated from the quality of the software. This paper analyses data from 3 iterative cycles of designing an app for children with Down syndrome to support their awareness of quantity through…
Descriptors: Down Syndrome, Computer Software, Learning Problems, Handheld Devices
Zehang Xie; Xinzhu Wu; Yunxiang Xie – Journal of Computer Assisted Learning, 2024
Background: With the development of artificial intelligence (AI) technology, generative AI has been widely used in the field of education and represents a groundbreaking shift in overcoming the constraints of time and space within educational activities. However, previous literature has not paid enough attention to AI-involved teaching patterns,…
Descriptors: Longitudinal Studies, Undergraduate Students, Robotics, Technology Uses in Education
Brasier, Daniel J.; Melville, Michael; Hershock, Chad; Rule, Gordon – Journal of Computer Assisted Learning, 2019
In this study, we investigated the optimal placement of animations and practice and feedback exercises with respect to each other and to static text and graphics in an online DNA replication module. We randomly assigned students in a first-semester introductory biology course for freshmen biology majors and nonmajors to one of four online modules…
Descriptors: Genetics, Introductory Courses, Biology, Science Instruction
Starkey, Louise; Zhong, Jingyi – Journal of Computer Assisted Learning, 2019
How computers in schools impact on children's learning has been studied through research that explores student achievement at one point in time or by comparing different classroom contexts with differing results. The introduction of an optional netbook purchasing scheme for children in a low socio-economic community provided an opportunity to…
Descriptors: Correlation, Laptop Computers, Ownership, Mathematics Achievement
Maria Aristeidou; Simon Cross; Klaus-Dieter Rossade; Carlton Wood; Terri Rees; Patrizia Paci – Journal of Computer Assisted Learning, 2024
Background: Research into online exams in higher education has grown significantly, especially as they became common practice during the COVID-19 pandemic. However, previous studies focused on understanding individual factors that relate to students' dispositions towards online exams in 'traditional' universities. Moreover, there is little…
Descriptors: Higher Education, Computer Assisted Testing, COVID-19, Pandemics
Cornelisz, Ilja; Klaveren, Chris – Journal of Computer Assisted Learning, 2018
A prerequisite for low-stakes activities to improve learning is to keep students engaged when confronted with challenging material. Comparing a personalized and non-personalized version of computerized practising, this study experimentally evaluates the relationships between student effort and ability across different dimensions of task…
Descriptors: Learner Engagement, Computer Assisted Instruction, Correlation, Summative Evaluation
Rodríguez-Aflecht, G.; Jaakkola, T.; Pongsakdi, N.; Hannula-Sormunen, M.; Brezovszky, B.; Lehtinen, E. – Journal of Computer Assisted Learning, 2018
The present study focused on 212 fifth graders' situational interest trajectories during an intervention with a digital mathematics game called Number Navigation. Our aims were to explore the development of situational interest whilst playing the game and to investigate the relationship between situational interest and individual math interest.…
Descriptors: Computer Games, Mathematics Instruction, Intervention, Teaching Methods
Wang, Cong; Zhu, Sida; Zhang, Haijing – Journal of Computer Assisted Learning, 2023
Background: Since the outbreak of COVID-19, universities in Hong Kong have implemented online and hybrid teaching modes, making computer-assisted language learning (CALL) a primary way for English learning. Research on English learning motivation and self-regulation has seldom considered learners' emotions (satisfaction and preparedness) and the…
Descriptors: Foreign Countries, Student Motivation, Online Courses, English (Second Language)
Mavridis, A.; Tsiatsos, T. – Journal of Computer Assisted Learning, 2017
The aim of this study is to assess the impact of a 3D educational computer game on students' test anxiety and exam performance when used in evaluative situations as compared to the traditional method of examination. The participants of the study were students in tertiary education who were examined using game-based assessment and traditional…
Descriptors: Computer Games, Teaching Methods, Test Anxiety, Statistical Analysis

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