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Showing 1 to 15 of 160 results Save | Export
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Han, Sunyoung; Yi, Yong Jeong – Journal of Computer Assisted Learning, 2019
The present study aims to investigate the effects of smartphone use by college students on their perceived academic performance. Using five hypotheses derived from the literature related to smartphone use, the initial model was set up for path analysis to reveal the relationships among variables regarding college students' smartphone use in the…
Descriptors: College Students, Handheld Devices, Telecommunications, Academic Achievement
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Gu, Xiaoqing; Cai, Huiying – Journal of Computer Assisted Learning, 2019
A semantic diagram tool is proposed in this study in order to structure collaborative problem solving (CPS) based on cognitive load theory (CLT). To investigate its effects on transaction cost and the deepening of user understandings, a comparative quasi-experiment was designed and conducted with 49 participants from a university in East China.…
Descriptors: Semantics, Cooperative Learning, Cognitive Ability, Foreign Countries
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Hewson, Claire; Charlton, John P. – Journal of Computer Assisted Learning, 2019
The use of e-assessment methods raises important concerns regarding the reliability and validity of these methods. Potential threats to validity include mode effects and the possible influence of computer-related attitudes. Although numerous studies have now investigated the validity of online assessments in noncourse-based contexts, few studies…
Descriptors: Computer Assisted Testing, Test Reliability, Test Validity, College Students
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Maycock, Keith W. – Journal of Computer Assisted Learning, 2019
The case study was carried out at a third-level college in Ireland to investigate the performance of a student population completing a first year computer architecture module using a flipped learning approach against a traditional chalk and talk approach. The study was completed over a 2-year period with the same lecturer delivering both…
Descriptors: Foreign Countries, Lecture Method, Blended Learning, College Students
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Whitelock-Wainwright, Alexander; Gaševic, Dragan; Tejeiro, Ricardo; Tsai, Yi-Shan; Bennett, Kate – Journal of Computer Assisted Learning, 2019
Student engagement within the development of learning analytics services in Higher Education is an important challenge to address. Despite calls for greater inclusion of stakeholders, there still remains only a small number of investigations into students' beliefs and expectations towards learning analytics services. Therefore, this paper presents…
Descriptors: Expectation, Learning Analytics, Questionnaires, College Students
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Heckel, Christian; Ringeisen, Tobias – Journal of Computer Assisted Learning, 2019
The current study validated the proposed structure of relationships among outcome-related achievement emotions (pride and anxiety), their cognitive predictors (appraisals und online-learning-related self-efficacy), and learning outcomes (competence gain and satisfaction) in the context of online learning in higher education. On the basis of a…
Descriptors: Emotional Response, Anxiety, Predictor Variables, Student Satisfaction
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Theelen, Hanneke; van den Beemt, Antoine; den Brok, Perry – Journal of Computer Assisted Learning, 2019
Noticing and interpreting classroom events (professional vision) is an important element of preservice teachers' (PSTs) interpersonal competence. This paper presents a mixed-method study about a classroom simulation using 360-degree videos combined with theoretical lectures in teacher education, intended to improve PSTs' interpretations of noticed…
Descriptors: Teaching Methods, Video Technology, Preservice Teacher Education, Preservice Teachers
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Papadopoulos, Pantelis M.; Natsis, Antonis; Obwegeser, Nikolaus; Weinberger, Armin – Journal of Computer Assisted Learning, 2019
The aim of the present study (n = 113) was to examine how (objective and subjective) information on peers' preparation, confidence, and past performance can support students in answering correctly in audience response systems (aka clickers). The result analysis shows that in the "challenging" questions, in which answers diverged,…
Descriptors: Feedback (Response), Audience Response Systems, Self Esteem, Student Attitudes
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Zibin, Aseel; Altakhaineh, Abdel Rahman Mitib – Journal of Computer Assisted Learning, 2019
This study investigates the effect of blended learning on the development of clause combining as an aspect of the acquisition of written discourse by Jordanians who are learning English as a foreign language. Sixty participants majoring in English language at the University of Jordan took part in this study. The participants were divided into…
Descriptors: Foreign Countries, Blended Learning, English (Second Language), Second Language Learning
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Meehan, Maria; McCallig, John – Journal of Computer Assisted Learning, 2019
We apply Carroll's model of school learning, which theorizes about the relationship between time and learning, to motivate the design of a large, first-year, university mathematics course, where students have the choice to attend lectures and/or watch online videos. The theoretical model informs how the course and resources are designed in order…
Descriptors: Time on Task, Video Technology, Learning Processes, Correlation
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Kolpashnikova, Kamila; Bartolic, Silvia – Journal of Computer Assisted Learning, 2019
Computer-assisted instruction can change the way introductory statistics and quantitative methods courses are taught. Using a two-group pretest-posttest design, we conducted an experiment using an undergraduate social science student sample to investigate whether the introduction of statistical software to teaching quantitative methods would…
Descriptors: Computer Assisted Instruction, Student Attitudes, Pretests Posttests, Teaching Methods
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Iio, Takamasa; Maeda, Ryota; Ogawa, Kohei; Yoshikawa, Yuichiro; Ishiguro, Hiroshi; Suzuki, Kaori; Aoki, Tomohiro; Maesaki, Miharu; Hama, Mika – Journal of Computer Assisted Learning, 2019
This paper reports how robot-assisted language learning (RALL) impacts Japanese adults' English speaking skills. With existing research on RALL focusing on children, there is little evidence indicating RALL's effects on adults. We developed a RALL system comprising a robot, a tablet, and designed learning materials for speaking practice. To…
Descriptors: English (Second Language), Pretests Posttests, Asians, Accuracy
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Wu, Bian; Hu, Yiling; Ruis, A. R.; Wang, Minhong – Journal of Computer Assisted Learning, 2019
Computational thinking (CT), the ability to devise computational solutions for real-life problems, has received growing attention from both educators and researchers. To better improve university students' CT competence, collaborative programming is regarded as an effective learning approach. However, how novice programmers develop CT competence…
Descriptors: Thinking Skills, Problem Solving, Teaching Methods, College Students
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Chew, Chiou Sheng; Idris, Norisma; Loh, Er Fu; Wu, Wen-Chi Vivian; Chua, Yan Piaw; Bimba, Andrew Thomas – Journal of Computer Assisted Learning, 2019
This paper focuses on the design and evaluation of a theory-based computer-assisted summary writing learning environment called Summary Writing-PAL (SW-PAL). The SW-PAL was developed based on four aspects: summarizing strategies, learning theories, prior knowledge, and cognitive load. A quasi-experiment that involved 58 undergraduates majoring in…
Descriptors: Writing Instruction, Writing (Composition), Educational Technology, Computer Uses in Education
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Lin, Xiao-Fan; Deng, Cailing; Hu, Qintai; Tsai, Chin-Chung – Journal of Computer Assisted Learning, 2019
Close links between students' conceptions of and approaches to learning were established in the past research. However, only a few quantitative studies investigated this relationship particularly with regard to mobile learning (m-learning). The correlation between learners' conceptions and approaches to m-learning was analysed using a partial…
Descriptors: Undergraduate Students, Student Attitudes, Telecommunications, Handheld Devices
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