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Showing 1 to 15 of 74 results Save | Export
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Mengshi Xiao; Weizi Li; Lei Han; Shasha Zheng – Journal of Computer Assisted Learning, 2025
Background: In multimedia learning environments, pedagogical agents have emerged as an innovative tool to enhance digital instruction, yet optimising their design for maximal learning effectiveness remains underexplored. Objectives: This study aimed to investigate how specific design elements of pedagogical agents, namely appearance and voice…
Descriptors: Multimedia Instruction, Instructional Design, Computer Simulation, Student Attitudes
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Blaženka Divjak; Barbi Svetec; Damir Horvat – Journal of Computer Assisted Learning, 2024
Background: Sound learning design should be based on the constructive alignment of intended learning outcomes (LOs), teaching and learning activities and formative and summative assessment. Assessment validity strongly relies on its alignment with LOs. Valid and reliable formative assessment can be analysed as a predictor of students' academic…
Descriptors: Automation, Formative Evaluation, Test Validity, Test Reliability
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Yiwen Jin; Lies Sercu – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence has been reshaping many industries, and education is no exception. When ChatGPT burst onto the scene in late 2022, it ignited conversations among educators and researchers alike. Despite growing interest and experimentation with this technology in university classrooms, the field has been missing a comprehensive…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Higher Education
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Idit Adler; Liat Liberman; Ilana Dubovi – Journal of Computer Assisted Learning, 2025
Background: This study investigates the effect of immersion levels in virtual reality (VR) learning environments on the acquisition of declarative and procedural knowledge. Prior research indicates that immersion affects cognitive load, but its impact on declarative and procedural knowledge outcomes remains unclear. This study utilises a…
Descriptors: Computer Simulation, Cognitive Processes, Difficulty Level, Outcomes of Education
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Yuan Tian; Zhongjian Liu; Hainuo Liu; Min Fang – Journal of Computer Assisted Learning, 2025
Background: Online videos featuring human-generated drawing are increasingly popular in education. However, their effectiveness may vary depending on learners' prior knowledge, and further research is needed to confirm their advantages over other common instructional videos. Objectives: The primary goal of this study is to investigate the impact…
Descriptors: Video Technology, Educational Technology, Instructional Films, Freehand Drawing
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Chia-Chen Chen; Man-Hong Chai; Pei-Hsuan Lin – Journal of Computer Assisted Learning, 2025
Background: Environmental education is crucial for promoting pro-environmental attitudes and behavior change. However, traditional teaching methods may not effectively engage learners in environmental protection. This study aims to address the limitations of traditional teaching methods and contribute to the development of effective environmental…
Descriptors: Multimedia Materials, Electronic Publishing, Books, Environmental Education
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Aysel Sahin Kizil; Blanka Klimova; Marcel Pikhart; Antigoni Parmaxi – Journal of Computer Assisted Learning, 2025
Background: The rise of intelligent chatbots powered by artificial intelligence and machine learning has ignited interest in their potential for revolutionising second language (L2) acquisition and foreign language learning (FLL). While their potential seems vast, understanding their actual impact on learning outcomes requires comprehensive…
Descriptors: Educational Research, Artificial Intelligence, Computer Software, Synchronous Communication
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Sule Biyik Bayram; Gamze Özener; Nilay Çakici; Handan Eren; Sinan Aydogan; Deniz Öztürk; Emel Gülnar; Nurcan Çaliskan – Journal of Computer Assisted Learning, 2024
Background: There are deficiencies in ensuring the permanence of some theoretical information taught in nursing education and transferring it to practice environment. Mobile-assisted teaching can be useful to eliminate deficiencies. The aim of this study was to determine the effect of mobile-assisted teaching on nursing students' learning…
Descriptors: Foreign Countries, Nursing Students, Human Body, Electronic Learning
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Richard Say; Denis Visentin; Annette Saunders; Iain Atherton; Andrea Carr; Carolyn King – Journal of Computer Assisted Learning, 2024
Background: Formative online multiple-choice tests are ubiquitous in higher education and potentially powerful learning tools. However, commonly used feedback approaches in online multiple-choice tests can discourage meaningful engagement and enable strategies, such as trial-and-error, that circumvent intended learning outcomes. These strategies…
Descriptors: Feedback (Response), Self Management, Formative Evaluation, Multiple Choice Tests
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Guo, Lin – Journal of Computer Assisted Learning, 2022
Background: It has been assumed that prompting students to plan, monitor and evaluate their learning process could stimulate strategy use and thereby improve learning outcomes. Objectives: This study aimed to examine the effects of metacognitive prompts on students' self-regulated learning (SRL) and learning outcomes in the context of…
Descriptors: Metacognition, Independent Study, Learning Processes, Outcomes of Education
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Lai, Jennifer W. M.; Bower, Matt; De Nobile, John; Breyer, Yvonne – Journal of Computer Assisted Learning, 2022
Background: There is a lack of critical or empirical work interrogating the nature and purpose of evaluating technology use in education. Objectives: In this study, we examine the values underpinning the evaluation of technology use in education through field specialist perceptions. The study also poses critical reflections about the rigour of…
Descriptors: Technology Uses in Education, Educational Technology, Program Evaluation, Content Validity
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Song Lu; Zhenan Feng; Ruggiero Lovreglio; Fei Wang; Xiaoming Yuan – Journal of Computer Assisted Learning, 2024
Background Study: Virtual reality (VR) is becoming a popular technology for safety training in construction. Several VR training prototypes have been designed and tested, which show they can perform better than traditional training tools. However, most of these existing tools are not underpinned by clear pedagogical theory, and studies assessing…
Descriptors: Computer Simulation, Safety Education, Technology Uses in Education, Construction Industry
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Nan Ma; Zhiyong Zhong – Journal of Computer Assisted Learning, 2025
Background: With the rapid advancement of technology, the integration of Generative Artificial Intelligence (GAI) in education has gained considerable attention. Many studies have examined GAI's impact on learning outcomes, yet their conclusions are inconsistent, highlighting the need for a comprehensive review to clarify its overall effects and…
Descriptors: Meta Analysis, Artificial Intelligence, Technology Uses in Education, Outcomes of Education
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Qianwen Tang; Wenbo Deng; Yidan Huang; Shuaijie Wang; Hao Zhang – Journal of Computer Assisted Learning, 2025
Background: Generative Artificial Intelligence (AI) shows promise in enhancing personalised learning and improving educational efficiency. However, its integration into education raises concerns about misinformation and over-reliance, particularly among adolescents. Teacher supervision plays a critical role in mitigating these risks and ensuring…
Descriptors: Artificial Intelligence, Teaching Methods, Educational Quality, Technology Integration
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Ali Orhan – Journal of Computer Assisted Learning, 2024
Background: Although problem based learning has a great potential to promote learning outcomes as well as cognitive abilities, the number of previous studies investigating this potential on critical thinking, reading comprehension abilities and attitudes in English as a Foreign Language (EFL) context is scarce. Also, the number of studies…
Descriptors: Problem Based Learning, In Person Learning, Electronic Learning, Outcomes of Education
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