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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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García Botero, Gustavo; Questier, Frederik; Cincinnato, Sebastiano; He, Tao; Zhu, Chang – Journal of Computing in Higher Education, 2018
Research on mobile learning indicates that students perceive mobile devices mainly as communication and entertainment tools. Therefore, a key factor in successful mobile learning implementation is the initial measurement of students' acceptance of those devices into their learning. Countless language applications available suggest that mobile…
Descriptors: College Students, Electronic Learning, Computer Attitudes, Computer Assisted Instruction
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Xiong, Yao; So, Hyo-Jeong; Toh, Yancy – Journal of Computing in Higher Education, 2015
The main purpose of this study was to develop an instrument that assesses university students' perceived readiness for computer-supported collaborative learning (CSCL). Assessment in CSCL research had predominantly focused on measuring "after-collaboration" outcomes and "during-collaboration" behaviors while…
Descriptors: Test Construction, College Students, Readiness, Computer Assisted Instruction
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Simonson, Michael; Schlosser, Charles; Orellana, Anymir – Journal of Computing in Higher Education, 2011
Distance education is defined, the various approaches for effective research are summarized, and the results of major research reviews of the field are explained in this article. Additionally, two major areas of research are included--research on barriers to the adoption of distance education and research summaries that explain and support best…
Descriptors: Distance Education, Literature Reviews, Definitions, Research Methodology
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Schmid, Richard F.; Bernard, Robert M.; Borokhovski, Eugene; Tamim, Rana; Abrami, Philip C.; Wade, C. Anne; Surkes, Michael A.; Lowerison, Gretchen – Journal of Computing in Higher Education, 2009
This paper reports the findings of a Stage I meta-analysis exploring the achievement effects of computer-based technology use in higher education classrooms (non-distance education). An extensive literature search revealed more than 6,000 potentially relevant primary empirical studies. Analysis of a representative sample of 231 studies (k = 310)…
Descriptors: Higher Education, Research Design, Effect Size, Educational Technology
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Ross, Steven M.; Morrison, Gary R. – Journal of Computing in Higher Education, 2012
In this rejoinder to Mazoue ("J Comput High Educ," 2012) article, "the deconstructed campus," we react to his arguments regarding the replacement of face-to-face teaching on college campuses with computer-supported approaches, including on-line learning, intelligent cognitive tutors, and open-ended learning environments where, rather than being…
Descriptors: Evidence, Instructional Design, Experiential Learning, Educational Technology
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Plass, Jan L.; Homer, Bruce D.; Hayward, Elizabeth O. – Journal of Computing in Higher Education, 2009
This paper reviews research on learning from dynamic visual representations and offers principles for the design of animations and simulations that assure their educational effectiveness. In addition to established principles, new and revised design principle are presented that have been derived from recent research. Our review focuses on the…
Descriptors: Higher Education, Educational Technology, Instructional Effectiveness, Instructional Design
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Herrington, Jan; Reeves, Thomas C.; Oliver, Ron – Journal of Computing in Higher Education, 2007
The development of immersive learning technologies in the form of virtual reality and advanced computer applications has meant that realistic creations of simulated environments are now possible. Such simulations have been used to great effect in training in the military, air force, and in medical training. But how realistic do problems need to be…
Descriptors: Learning Theories, Cognitive Processes, Learning Strategies, Instructional Design
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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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Weller, Martin – Journal of Computing in Higher Education, 2007
This paper examines the concept of learning objects, the advantages they offer, and related issues. Learning objects focus on content, while the Learning Design specification addresses pedagogy. Underlying both of these approaches is the motivation to reuse, which has cost and quality benefits. Despite these benefits, adoption of the two…
Descriptors: Instructional Design, Cost Effectiveness, Electronic Learning, Educational Technology
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Sharma, Priya; Fiedler, Sebastian – Journal of Computing in Higher Education, 2007
In this paper, we suggest that self-organized learning can be supported through emergent and informal Web technologies and propose that these technologies can be used to encourage similar practices in higher education. Self-organized learning aims at increasing individual control over instructional functions through a process that involves…
Descriptors: Higher Education, Learner Controlled Instruction, Reflection, Interpersonal Communication
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