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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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Petrucco, C. – Journal of Computer Assisted Learning, 2011
Building ontology in the domain of human sciences can be a difficult process because of the different meanings given to the same key concepts in these disciplines: in fact, shared meaning is an important element in knowledge construction between members of a community. In this paper, we propose a participatory social environment called…
Descriptors: Expertise, Communities of Practice, Social Environment, Teacher Education
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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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Hui, W.; Hu, P. J.-H.; Clark, T. H. K.; Tam, K. Y.; Milton, J. – Journal of Computer Assisted Learning, 2008
A field experiment compares the effectiveness and satisfaction associated with technology-assisted learning with that of face-to-face learning. The empirical evidence suggests that technology-assisted learning effectiveness depends on the target knowledge category. Building on Kolb's experiential learning model, we show that technology-assisted…
Descriptors: Listening Comprehension, Web Based Instruction, Experiential Learning, Vocabulary Development
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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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White, Alison; Easterbrook, S. – Journal of Computer Assisted Learning, 1993
Describes an online dictionary environment for children called DICTOFUN where words are accessed via their meaning as well as by alphabetical entry. Highlights include the use of HyperCard; concept hierarchies; comparisons with related systems; and experiments with 7-, 8-, and 14-year olds. (Contains 12 references.) (LRW)
Descriptors: Childrens Literature, Classification, Comparative Analysis, Concept Mapping
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d'Agapeyeff, A. – Journal of Computer Assisted Learning, 1986
Intended for potential business users, this paper describes the main characteristics of expert systems; discusses practical use considerations; presents a taxonomy of the systems; and reviews several expert system development projects in business and industry. (MBR)
Descriptors: Classification, Computer Software, Definitions, Foreign Countries
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