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Rakovic, Mladen; Winne, Philip H.; Marzouk, Zahia; Chang, Daniel – Journal of Computer Assisted Learning, 2021
Developing knowledge-transforming skills in writing may help students increase learning by actively building knowledge, regardless of the domain. However, many undergraduate students struggle to transform knowledge when drafting essays based on multiple sources. Writing analytics can be used to scaffold knowledge transforming as writers bring…
Descriptors: Persuasive Discourse, Essays, Writing (Composition), Writing Skills
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Chiang, Feng-Kuang; Zhu, Dan; Yu, Wenhao – Journal of Computer Assisted Learning, 2022
Background: During the COVID-19 pandemic, online learning has played an increasingly crucial role in the educational system. Academic dishonesty (AD) in online learning is a challenging problem that represents a complex psychological and social phenomenon for learners. However, there is a lack of comprehensive and systematic reviews of AD in…
Descriptors: Cheating, Research Reports, Intervention, COVID-19
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Bülent BASARAN; Ömer SIMSEK – Journal of Computer Assisted Learning, 2024
Background: Their ubiquity is particularly notable as video games become increasingly intertwined with the technological revolution. Despite this prominence, gender disparities in adolescent video gaming remain under-explored. Objectives: This research aims to determine the frequency classes of video game playing based on gender, analyse the…
Descriptors: Gender Differences, Video Games, Play, Academic Achievement
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Flor, Michael; Andrews-Todd, Jessica – Journal of Computer Assisted Learning, 2022
Background: Collaborative problem solving (CPS) is important for success in the 21st century, especially for teamwork and communication in technology-enhanced environments. Measurement of CPS skills has emerged as an essential aspect in educational assessment. Modern research in CPS relies on theory-driven measurements that are usually carried out…
Descriptors: Automation, Documentation, Cooperative Learning, Teamwork
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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
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Wang, Cixiao; Fang, Ting; Miao, Rong – Journal of Computer Assisted Learning, 2018
In the increasing pervasiveness of today's digital society, mobile devices are changing the face of education. Students can interact with mobile devices in context-aware environment. This paper presents a mobile application based on expert system (Plant-E) for students to acquire knowledge about plant classification by answering decision-making…
Descriptors: Cognitive Processes, Difficulty Level, Electronic Learning, Handheld Devices
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Spikol, Daniel; Ruffaldi, Emanuele; Dabisias, Giacomo; Cukurova, Mutlu – Journal of Computer Assisted Learning, 2018
Multimodal learning analytics provides researchers new tools and techniques to capture different types of data from complex learning activities in dynamic learning environments. This paper investigates the use of diverse sensors, including computer vision, user-generated content, and data from the learning objects (physical computing components),…
Descriptors: Student Projects, Active Learning, Teaching Methods, Group Dynamics
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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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Cress, U.; Held, C. – Journal of Computer Assisted Learning, 2013
Tagging systems represent the conceptual knowledge of a community. We experimentally tested whether people harness this collective knowledge when navigating through the Web. As a within-factor we manipulated people's prior knowledge (no knowledge vs. prior knowledge that was congruent/incongruent to the collective knowledge inherent in the tags).…
Descriptors: Classification, Internet, Prior Learning, Navigation (Information Systems)
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Hoff, C.; Wehling, U.; Rothkugel, S. – Journal of Computer Assisted Learning, 2009
Making annotations on books and learning materials is part of students' everyday life. Although there are many computer-based annotation systems, many people prefer to print digital documents and make annotations on physical paper. We introduce a classification scheme for computer-based annotation systems and provide an overview of different…
Descriptors: Documentation, Classification, Electronic Publishing, Technological Advancement
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Tondeur, Jo; van Braak, J.; Valcke, M. – Journal of Computer Assisted Learning, 2007
In the present study, we reject the view that computer use can be studied as an isolated variable in a learning environment. Our main objective is to develop an instrumental tool to measure different types of educational computer use in the classroom. This builds on a comprehensive review of the literature about computer use in education. This…
Descriptors: Foreign Countries, Elementary School Teachers, Questionnaires, Computer Uses in Education
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Passig, D.; Levin, H. – Journal of Computer Assisted Learning, 2000
This study of Israeli kindergarteners examined gender differences in the preferences to varying designs of multimedia learning interfaces in interactive multimedia stories. Highlights include a taxonomy of design of efficient user interfaces and the use of Lampert's Attitude Pollimeter to determine students' opinions. (Contains 19 references.)…
Descriptors: Childrens Literature, Classification, Computer Interfaces, Design Requirements