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Linjing Wu; Shuang Yu; Qingtang Liu; Junmin Ye; Xinxin Zheng; Jianhu Wang – Journal of Computing in Higher Education, 2025
Interdisciplinary collaboration is widely used in research, industry, and education. Understanding the differences in cognitive processes between cross-discipline and same-discipline groups can improve instruction in collaborative learning. In this study, students volunteered to participate in cross-discipline or same-discipline collaborative…
Descriptors: Intellectual Disciplines, Cooperative Learning, Comparative Analysis, Interdisciplinary Approach
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Li, Xu; Ouyang, Fan; Chen, WenZhi – Journal of Computing in Higher Education, 2022
Group formation is a critical factor which influences collaborative processes and performances in computer-supported collaborative learning (CSCL). Automatic grouping has been widely used to generate groups with heterogeneous attributes and to maximize the diversity of students' characteristics within a group. But there are two dominant challenges…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Group Dynamics, Grouping (Instructional Purposes)
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Lahav, Orly; Talis, Vadim; Cinamon, Rachel Gali; Rizzo, Albert – Journal of Computing in Higher Education, 2020
The virtual interactive consulting agent system is an online virtual career center that supports freshman students in transition to higher education. This virtual counseling system, based on accumulative empirical knowledge for working students and knowledge about effective career intervention, aims to guide first-year university students in…
Descriptors: Computer Mediated Communication, Computer Assisted Instruction, College Bound Students, College Freshmen
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Lin, Shu-Yuan; Xie, Ying – Journal of Computing in Higher Education, 2019
Student-generated tagclouds provided an intuitive overview of a group of learners' collective knowledge. Although such tagclouds may have the potential to be used as effective learning tools, it has not been clear how students use this tool for knowledge construction. In this paper, we report a two-stage study that investigated college students'…
Descriptors: Computer Software, College Students, Concept Mapping, Intervention
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Shadiev, Rustam; Sun, Ai – Journal of Computing in Higher Education, 2020
In this study, we applied a combination of speech-to-text recognition (STR) and computer-aided translation (CAT) technologies during lectures in English as a foreign language to facilitate student comprehension of the lecture content. The instructor lectured in English, the STR system generated texts from the voice input, and the CAT system then…
Descriptors: Assistive Technology, Speech Communication, Computer Assisted Instruction, Translation
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Mohsen, Mohammed Ali; Mahdi, Hassan Saleh – Journal of Computing in Higher Education, 2021
Video captioning has been investigated extensively in the Computer-Assisted Language Learning (CALL) literature to aid second language vocabulary acquisition. However, a little is known about how video captioning could foster learners' pronunciation, which is a component of second language vocabulary acquisition proposed by Nation (Nation,…
Descriptors: Vocabulary Development, Second Language Learning, Second Language Instruction, English (Second Language)
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Artino, Anthony R. – Journal of Computing in Higher Education, 2009
This study employed a social-cognitive view of self-regulated learning to examine how several personal factors relate to academic success in an online course. Service academy undergraduates (N = 481) completed a survey that assessed their motivational beliefs (self-efficacy and task value); negative achievement emotions (boredom and frustration);…
Descriptors: Self Efficacy, Academic Achievement, Learning Strategies, Student Motivation
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MacGeorge, Erina L.; Homan, Scott R.; Dunning, John B.; Elmore, David; Bodie, Graham D.; Evans, Ed; Khichadia, Sangeetha; Lichti, Steven M. – Journal of Computing in Higher Education, 2008
Audience Response Technology (ART) has been widely adopted on college campuses, and prior research indicates that, on average, it receives positive evaluations from students. However, research has not yet examined how characteristics of students as learners influence their responses to ART. The current study examined aptitude for learning,…
Descriptors: Student Attitudes, Audience Response, Student Characteristics, Feedback (Response)
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Bishop, M. J.; Hyclak, Tom; Yerk-Zwickl, Sherri – Journal of Computing in Higher Education, 2007
This paper describes the three-year evolution of an online Economics I course, reports on student outcomes and evaluations, and discusses the lessons learned. Results show that, as the course evolved from an instructor-led to a student-centered learning pedagogical model, several indicators of completing students' learning and satisfaction with…
Descriptors: Online Courses, Teaching Methods, Student Attitudes, Economics
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Connors, Mary Ann – Journal of Computing in Higher Education, 1997
Educators need to learn more about the impact of computers and calculators on content and methods of college mathematics instruction. Experience suggests this interactive technology encourages active participation in learning, resulting in learner sense of ownership. Technology allows visualization, promotes exploration of various methods of…
Descriptors: Active Learning, Calculators, College Instruction, Computer Assisted Instruction
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Austin, Katherine A.; Lawson, William D.; Holder, Eric – Journal of Computing in Higher Education, 2007
This study compares the efficacy of interactive video (ITV) delivered instruction to traditional course instruction in three distinct learning environments: traditional face-to-face format, ITV host (instructor present), and ITV distant (instructor not physically present) sites. Data were obtained from a half-day professional development course…
Descriptors: Student Attitudes, Retention (Psychology), Professional Development, Interactive Video
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Gibbs, William J. – Journal of Computing in Higher Education, 1998
Describes an online college course and student perceptions of the virtual-classroom experience. Students appreciated course flexibility and convenience and found it conducive to thoughtful analysis of class questions and commentary. However, they felt isolated from peers and instructor, and lack of face-to-face interaction hindered communication.…
Descriptors: Classroom Communication, Classroom Environment, College Instruction, Communication Problems
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Wills, Sandra; McNaught, Carmel – Journal of Computing in Higher Education, 1996
Discussion of evaluation of computer-based learning (CBL) looks at six different approaches: use of quantitative data for assessment; student and staff attitudes and perceptions of computer use for learning; formative evaluation for CBL design; effectiveness of CBL in comparison to conventional instruction; evidence of whether CBL enables students…
Descriptors: College Instruction, Comparative Analysis, Computer Assisted Instruction, Computer Software Evaluation
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Cronin, Michael W.; Cronin, Karen A. – Journal of Computing in Higher Education, 1992
Recent empirical research has identified significant advantages for interactive video instruction over traditional teaching methods in "soft skill" (humanities and social sciences) areas, including cognitive achievement, transfer of learning to performance, learning motivation, student achievement across uncontrolled student characteristics, user…
Descriptors: Academic Achievement, Classroom Techniques, Cognitive Development, Computer Assisted Instruction