NotesFAQContact Us
Collection
Advanced
Search Tips
Source
Journal of Computer Assisted…52
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 52 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Jyun-Chen Chen; Chia-Yu Liu – Journal of Computer Assisted Learning, 2024
Background: Society requires individuals to have the ability to synthesise knowledge from diverse sources, typically acquired through science, technology, engineering, and mathematics (STEM) education. Objectives and Methods: We utilised a moderately rigorous design to investigate the effects of combining a hands-on STEM activity with active…
Descriptors: Knowledge Level, Teaching Methods, Flipped Classroom, Academic Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
van Harsel, Milou; Hoogerheide, Vincent; Verkoeijen, Peter; van Gog, Tamara – Journal of Computer Assisted Learning, 2022
Nowadays, students often practice problem-solving skills in online learning environments with the help of examples and problems. This requires them to self-regulate their learning. It is questionable how novices self-regulate their learning from examples and problems and whether they need support. The present study investigated the open questions:…
Descriptors: Sequential Learning, Independent Study, Problem Solving, Electronic Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Ren-Zhi Luo; Yue-Liang Zhou – Journal of Computer Assisted Learning, 2024
Background: The COVID-19 has accelerated the transition to blended learning (BL) in higher education, prompting a need for further investigation into the efficacy of self-regulated learning strategies (SRLS) in these new educational environments. Objective: The primary goal of this research is to assess the effectiveness of SRLS in BL in higher…
Descriptors: Learning Strategies, Blended Learning, Self Management, Higher Education
Peer reviewed Peer reviewed
Direct linkDirect link
Joshua Weidlich; Aron Fink; Ioana Jivet; Jane Yau; Tornike Giorgashvili; Hendrik Drachsler; Andreas Frey – Journal of Computer Assisted Learning, 2024
Background: Developments in educational technology and learning analytics make it possible to automatically formulate and deploy personalized formative feedback to learners at scale. However, to be effective, the motivational and emotional impacts of such automated and personalized feedback need to be considered. The literature on feedback…
Descriptors: Emotional Response, Student Motivation, Feedback (Response), Automation
Peer reviewed Peer reviewed
Direct linkDirect link
Alamer, Abdullah; Al Khateeb, Ahmed; Jeno, Lucas M. – Journal of Computer Assisted Learning, 2023
Background: Mobile-assisted language learning (MALL) has long been advocated to promote students' language study outcomes. However, little is known about how using instant messaging applications (an example of MALL) affect student motivation, language anxiety, and actual achievement. Objectives: To help close this gap, we have conducted a…
Descriptors: Foreign Countries, College Students, Synchronous Communication, Handheld Devices
Peer reviewed Peer reviewed
Direct linkDirect link
Lai, Xiaoyan; Ye, Jiachu; Wong, Gary Ka Wai – Journal of Computer Assisted Learning, 2023
Background: Collaboration has commonly been integrated in computational thinking education to foster novice learning. While the majority of existing studies on developing students' CT skills have been based on competency or personality factors, social factors have been largely ignored. Objectives: This systematic review, framed by social cognitive…
Descriptors: Cooperative Learning, Instructional Effectiveness, Computation, Thinking Skills
Peer reviewed Peer reviewed
Direct linkDirect link
Fathi, Jalil; Rahimi, Masoud; Liu, Gi-Zen – Journal of Computer Assisted Learning, 2023
Background: Although conventional writing procedures are still the dominant instructional procedures in English as a foreign language (EFL) contexts, instructors are still struggling with time limitations to improve EFL students writing skills properly. Additionally, EFL students are not engaged in the writing process since they lack the required…
Descriptors: Flipped Classroom, English (Second Language), Second Language Learning, Collaborative Writing
Peer reviewed Peer reviewed
Direct linkDirect link
Ankora, Carlos; Bolatimi, Stephen Oladagba; Bensah, Lily; Mahama, Francois; Kuadey, Noble Arden; Adu, Adolph Sedem Yaw; Adjei, Laurene – Journal of Computer Assisted Learning, 2023
Background: The degree to which Computer Science (CS) and Information Communication Technology (ICT) students are motivated to learn greatly impacts their study habits, academic achievement in school and ultimately their job prospects. In recent times, skills in programming languages have become vital in searching for employment. Objective: This…
Descriptors: College Students, Student Motivation, Course Selection (Students), Programming Languages
Peer reviewed Peer reviewed
Direct linkDirect link
Qiao, Shen; Chu, Samuel Kai Wah; Shen, Xiaoai; Yeung, Susanna Siu-sze – Journal of Computer Assisted Learning, 2022
Background: Morphological awareness (MA) is the awareness and ability to manipulate morphemes, the smallest units of meaning in a language. It is identified as a strong cognitive precursor of word reading and reading comprehension. The current MA instructions are limited to classroom settings and delivered by teachers or experimenters. Few studies…
Descriptors: Middle School Students, English (Second Language), Second Language Learning, Game Based Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Xu, Qi; Peng, Hongying – Journal of Computer Assisted Learning, 2022
Background: Peer-to-peer feedback exchanges have been recognized as crucial to language learning. While studies on peer feedback proliferate, little is known about whether and how peer feedback is affected by learners' motivational levels. Objectives: Situated in a mobile collaborative learning context, the current study examined how English as a…
Descriptors: Student Motivation, Electronic Learning, Handheld Devices, Peer Evaluation
Peer reviewed Peer reviewed
Direct linkDirect link
Hanna Järvenoja; Tiina Törmänen; Marjo Turunen; Emma Lehtoaho – Journal of Computer Assisted Learning, 2025
Background: Collaborative learning offers benefits, but its potential is often undermined by motivational challenges. This study uses the situated expectancy-value theory to explore how students' expectancies for success relate to group-level regulation of learning during collaborative interactions. The study considers success expectancies both as…
Descriptors: Cooperative Learning, Success, Expectation, Student Motivation
Peer reviewed Peer reviewed
Direct linkDirect link
Osman Özdemir – Journal of Computer Assisted Learning, 2025
Background: In recent years, the widespread use of technology in classrooms has encouraged the transition from traditional lecture methods to digital-based learning environments. Technological game-based learning platforms, such as Kahoot!, which are used to encourage students' active participation and interaction in learning environments, are…
Descriptors: Game Based Learning, Video Games, Academic Achievement, Student Motivation
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Davy Tsz Kit Ng; Chen Xinyu; Jac Ka Lok Leung; Samuel Kai Wah Chu – Journal of Computer Assisted Learning, 2024
Background: As the significance of artificial intelligence (AI) continues to increase, there is a need for effective scaffolding and support for novice learners. Educators have encountered challenges in effectively scaffolding novice learners AI concepts, and providing appropriate motivational support. Research evidence has shown the potential of…
Descriptors: Artificial Intelligence, Novices, Scaffolding (Teaching Technique), Game Based Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Peidi Gu; Zui Cheng; Cheng Miaoting; John Poggio; Yan Dong – Journal of Computer Assisted Learning, 2025
Background: Today, the importance of STEM (Science, Technology, Engineering and Mathematics) education and training is widely recognised and accepted. Computer programming courses have become essential in higher education to nurture students' programming, analysis and computational skills, which are vital for success in all STEM fields and areas.…
Descriptors: Active Learning, Student Projects, Individualized Instruction, Student Motivation
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4