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Elena Drugova; Irina Zhuravleva; Ulyana Zakharova; Adel Latipov – Journal of Computer Assisted Learning, 2024
Background: Driven by the ongoing need to provide high-quality learning and teaching, universities recently have shown an increased interest in using learning analytics (LA) for improving learning design (LD). However, the evidence of such improvements is scarce, and the maturity of such research is unclear. Objectives: This study is aimed to…
Descriptors: Learning Analytics, Instructional Design, Higher Education, Instructional Improvement
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Muhammad Ashraf Fauzi; Zuria Akmal Saad; Muhammad Ariff Aripin; Noraina Mazuin Sapuan – Journal of Computer Assisted Learning, 2025
Background Study: Gamification is an effective and interactive approach to engaging students in teaching and learning. As digital technology develops, higher education institutions (HEIs) must embrace and keep pace with gamification for interactive teaching and learning approaches. Objective: The purpose of this study is to review gamification in…
Descriptors: State of the Art Reviews, Gamification, Game Based Learning, Bibliometrics
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Lu Yang; Rui Li; Yu Zhou – Journal of Computer Assisted Learning, 2024
Background: While game-based language learning (GBLL) in K-12 education has received considerable attention, little is still known about its state-of-the-art research trends over the last decade, necessitating a systematic review on its theoretical frameworks, instructional activities and research findings. Objectives: To fill the gap, drawing on…
Descriptors: Game Based Learning, Second Language Learning, Elementary Secondary Education, Educational Research
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Atezaz Ahmad; Jan Schneider; Dai Griffiths; Daniel Biedermann; Daniel Schiffner; Wolfgang Greller; Hendrik Drachsler – Journal of Computer Assisted Learning, 2024
Background: During the past decade, the increasingly heterogeneous field of learning analytics has been critiqued for an over-emphasis on data-driven approaches at the expense of paying attention to learning designs. Method and objective: In response to this critique, we investigated the role of learning design in learning analytics through a…
Descriptors: Instructional Design, Learning Analytics, Data Use, Literature Reviews
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Liu, Caihua; Zowghi, Didar; Kearney, Matthew; Bano, Muneera – Journal of Computer Assisted Learning, 2021
Recent years have seen a growing call for inquiry-based learning in science education, and mobile technologies are perceived as increasingly valuable tools to support this approach. However, there is a lack of understanding of mobile technology-supported inquiry-based learning (mIBL) in secondary science education. More evidence-based, nuanced…
Descriptors: Active Learning, Inquiry, Electronic Learning, Technology Integration
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Yuhui Jing; Chengliang Wang; Zhaoyi Chen; Shusheng Shen; Rustam Shadiev – Journal of Computer Assisted Learning, 2024
Background Study: Technology-supported learning environments, act as significant observational and enabling indicators for evaluating and encouraging the digital revolution of education, are of vital importance in current educational research. Keeping track of the dynamics of technology-supported learning environment research allows for the…
Descriptors: Educational Technology, Technology Uses in Education, Educational Environment, Educational Research
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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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Seyedahmad Rahimi; Russell Almond; Andrea Ramírez-Salgado; Christine Wusylko; Lauren Weisberg; Yukyeong Song; Jie Lu; Ted Myers; Bowen Wang; Xiaomaon Wang; Marc Francois; Jennifer Moses; Eric Wright – Journal of Computer Assisted Learning, 2024
Background: Stealth assessment is a learning analytics method, which leverages the collection and analysis of learners' interaction data to make real-time inferences about their learning. Employed in digital learning environments, stealth assessment helps researchers, educators, and teachers evaluate learners' competencies and customize the…
Descriptors: Competence, Models, Research Methodology, Research Design
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Brewer, R.; Movahedazarhouligh, S. – Journal of Computer Assisted Learning, 2018
As technological advancements continue to revolutionize teaching, the use of technology in both college/university and K-12 classrooms is making flipped learning a trending instructional model. "Flipping" the classroom reverses a traditional model of in-class lecture followed by practice and homework. The roles and responsibilities of…
Descriptors: Blended Learning, Higher Education, Teaching Methods, Educational Quality
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Jagušt, T.; Boticki, I.; So, H. -J. – Journal of Computer Assisted Learning, 2018
This study reviews empirical research articles published in the field of technology-enhanced learning in the out-of-class contexts in primary schools between the years 2007 and 2016 and explores how the body of research has connected formal and informal learning experiences, referred to in the paper as bridging the gap. The review focuses on 43…
Descriptors: Elementary School Students, Informal Education, Student Interests, Student Motivation
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Di Mitri, Daniele; Schneider, Jan; Specht, Marcus; Drachsler, Hendrik – Journal of Computer Assisted Learning, 2018
Multimodality in learning analytics and learning science is under the spotlight. The landscape of sensors and wearable trackers that can be used for learning support is evolving rapidly, as well as data collection and analysis methods. Multimodal data can now be collected and processed in real time at an unprecedented scale. With sensors, it is…
Descriptors: Educational Research, Data Collection, Data Analysis, Learning Modalities
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Beardsley, M.; Hernández-Leo, D.; Ramirez-Melendez, R. – Journal of Computer Assisted Learning, 2018
Low-cost devices have widened the use of multimodal data in experiments providing a more complete picture of behavioural effects. However, the accurate collection and combination of multimodal and behavioural data in a manner that enables reproducibility is challenging and often requires researchers to refine their approaches. This paper presents…
Descriptors: Data Analysis, Learning Modalities, Measurement Equipment, Data Collection
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Martí-Parreño, J.; Méndez-Ibáñez, E.; Alonso-Arroyo, A. – Journal of Computer Assisted Learning, 2016
The use of games in education represents a promising tool to motivate and engage students in their learning process. Most of previous research on the topic has focused to develop theoretical frameworks or to conduct experiments as a means to analyse learning outcomes such as knowledge retention, problem-solving skills gains or attitudes toward…
Descriptors: Educational Games, Bibliometrics, Data Collection, Data Analysis
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Wu, W-H.; Hsiao, H-C.; Wu, P-L.; Lin, C-H.; Huang, S-H. – Journal of Computer Assisted Learning, 2012
Past studies on the issue of learning-theory foundations in game-based learning stressed the importance of establishing learning-theory foundation and provided an exploratory examination of established learning theories. However, we found research seldom addressed the development of the use or failure to use learning-theory foundations and…
Descriptors: Constructivism (Learning), Educational Technology, Meta Analysis, Learning Theories
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Cox, M. J.; Niederhauser, D. S.; Castillo, N.; McDougall, A. B.; Sakamoto, T.; Roesvik, S. – Journal of Computer Assisted Learning, 2013
Many regions around the world are experiencing a gradual paradigm shift away from information technology (IT) use that complements traditional teaching and towards embedded IT use in E-learning that is ubiquitous and pervasive. This has been conceptualized in this article using a framework depicting the affects of these shifts on learning…
Descriptors: Information Technology, Electronic Learning, Trend Analysis, Learner Engagement
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