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Daniels, Lia M.; Bulut, Okan – Journal of Computer Assisted Learning, 2020
In computer-based testing (CBT) environments instructors can provide students with feedback immediately. Commonly, instructors give students their percentage correct without additional descriptive feedback. Our objectives were (a) to compare students' perceived usefulness of a percentage-only score report vs. a descriptive feedback report in a CBT…
Descriptors: Computer Assisted Testing, Feedback (Response), Value Judgment, Student Attitudes
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Sun, Lihui; Hu, Linlin; Yang, Weipeng; Zhou, Danhua; Wang, Xiaoqian – Journal of Computer Assisted Learning, 2021
Computational thinking (CT) plays a vital role in the fields of science, technology, engineering and mathematics (STEM). However, whether students' learning attitude towards STEM is related to their CT skills remains unknown. Two studies were conducted to address this knowledge gap. In Study 1, we validated a newly developed STEM learning attitude…
Descriptors: STEM Education, Predictor Variables, Computer Science, Thinking Skills
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Rahman, Md. H Asibur; Uddin, Mohammad Shahab; Dey, Anamika – Journal of Computer Assisted Learning, 2021
The purpose of this paper is to investigate the mediating role of online learning motivation (OLM) in the COVID-19 pandemic situation in Bangladesh by observing and comparing direct lectures (DL), instructor-learner interaction (ILI), learner-learner interaction (LLI), and internet self-efficacy (ISE) as predictors of OLM and online learning…
Descriptors: Online Courses, Learning Motivation, COVID-19, Pandemics
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Lee, K.; Tsai, P.-S.; Chai, C. S.; Koh, J. H. L. – Journal of Computer Assisted Learning, 2014
This study explored students' perceptions of self-directed learning (SDL) and collaborative learning (CL) with/without technology in an information and communications technology-supported classroom environment. The factors include SDL, CL, SDL supported by technology, and CL supported by technology. Based on the literature review, this study…
Descriptors: Student Attitudes, Independent Study, Cooperative Learning, Technology Uses in Education
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Bressler, D. M.; Bodzin, A. M. – Journal of Computer Assisted Learning, 2013
Current studies have reported that secondary students are highly engaged while playing mobile augmented reality (AR) learning games. Some researchers have posited that players' engagement may indicate a flow experience, but no research results have confirmed this hypothesis with vision-based AR learning games. This study investigated factors…
Descriptors: Psychological Patterns, Affective Behavior, Learner Engagement, Secondary School Students
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Kennedy, G.; Judd, T.; Dalgarno, B.; Waycott, J. – Journal of Computer Assisted Learning, 2010
Previously assumed to be a homogenous and highly skilled group with respect to information and communications technology, the so-called Net Generation has instead been shown to possess a diverse range of technology skills and preferences. To better understand this diversity, we subjected data from 2096 students aged between 17 and 26 from three…
Descriptors: Foreign Countries, Multivariate Analysis, Educational Technology, Misconceptions
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Hwang, A.; Arbaugh, J. B. – Journal of Computer Assisted Learning, 2009
Emerging research has revealed the impact of electronic media usage on student outcomes, such as satisfaction and reported learning efficacy. However, little is known of its impact on measurable knowledge acquisition. Results from this study showed that participation on discussion topics through Blackboard, an electronic discussion forum,…
Descriptors: Context Effect, Electronic Publishing, Student Attitudes, Satisfaction
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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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Artino, A. R. – Journal of Computer Assisted Learning, 2008
Many would agree that learning on the Web--a highly autonomous learning environment--may be difficult for individuals who lack motivation and self-regulated learning skills. Using a social cognitive view of academic motivation and self-regulation, the objective of the present study was to investigate the relations between students' motivational…
Descriptors: Self Efficacy, Online Courses, Student Motivation, Educational Environment
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Martin, Robin – Journal of Computer Assisted Learning, 1991
Describes a study of 328 British secondary school students that examined their attitudes toward computers in relation to gender, computer-related courses at school, and the availability of a computer at home. Use of the Computer Attitude Scale (CATT) is described, results are analyzed, and practical and theoretical implications for instructional…
Descriptors: Computer Assisted Instruction, Foreign Countries, Instructional Design, Intellectual Disciplines
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Eraut, Michael; Hoyles, C. – Journal of Computer Assisted Learning, 1989
Discussion of group processes in computer assisted instruction highlights a research program being developed in the United Kingdom to explore computer groupwork with 9-to 12-year-olds. Variables to be considered in the research strategy are described, data collection methods are explained, and student attitudes and teacher roles are discussed. (24…
Descriptors: Classroom Observation Techniques, Computer Assisted Instruction, Data Collection, Elementary Education