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Showing 1 to 15 of 111 results Save | Export
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Whitelock-Wainwright, Alexander; Gaševic, Dragan; Tsai, Yi-Shan; Drachsler, Hendrik; Scheffel, Maren; Muñoz-Merino, Pedro J.; Tammets, Kairit; Delgado Kloos, Carlos – Journal of Computer Assisted Learning, 2020
To assist higher education institutions in meeting the challenge of limited student engagement in the implementation of Learning Analytics services, the Questionnaire for Student Expectations of Learning Analytics (SELAQ) was developed. This instrument contains 12 items, which are explained by a purported two-factor structure of "Ethical and…
Descriptors: Questionnaires, Test Construction, Test Validity, Learning Analytics
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Tsay, Crystal Han-Huei; Kofinas, Alexander K.; Trivedi, Smita K.; Yang, Yang – Journal of Computer Assisted Learning, 2020
Learners in the higher education context who engage with computer-based gamified learning systems often experience the novelty effect: a pattern of high activity during the gamified system's introduction followed by a drop in activity a few weeks later, once its novelty has worn off. We applied a two-tiered motivational, online gamified learning…
Descriptors: Higher Education, College Students, Computer Games, Game Based Learning
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Ahmad Uzir, Nora'ayu; Gaševic, Dragan; Matcha, Wannisa; Jovanovic, Jelena; Pardo, Abelardo – Journal of Computer Assisted Learning, 2020
This paper aims to explore time management strategies followed by students in a flipped classroom through the analysis of trace data. Specifically, an exploratory study was conducted on the dataset collected in three consecutive offerings of an undergraduate computer engineering course (N = 1,134). Trace data about activities were initially coded…
Descriptors: Time Management, Blended Learning, Learning Analytics, Undergraduate Students
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Hughes, Joan E.; Cheah, Yin Hong; Shi, Yi; Hsiao, Kuei-Hui – Journal of Computer Assisted Learning, 2020
We examined teachers' pedagogical reasoning for and the technological knowledge underlying their most-valued technology-supported activities for teaching and learning. Data from 140 preservice and 100 inservice teachers included open-ended, narrative responses to survey questions. Qualitative research methods guided analysis of the data that…
Descriptors: Teaching Methods, Educational Technology, Technology Uses in Education, Preservice Teachers
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Fan, Ya-Ching; Wang, Tzu-Hua; Wang, Kuo-Hua – Journal of Computer Assisted Learning, 2020
This research develops a web-based model, entitled the "intuitive claim, peer-assessment, discussion, and elaborate claim argumentation training" (IPadE) model, and embeds with a Web-based Interactive Argumentation System to enhance undergraduate students' socioscientific argumentation abilities. This research adopts a quasi-experimental…
Descriptors: Persuasive Discourse, Educational Technology, Web Based Instruction, Undergraduate Students
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Truzoli, Roberto; Viganò, Caterina; Galmozzi, Paolo Gabriele; Reed, Phil – Journal of Computer Assisted Learning, 2020
The current study explored the relationship between problematic internet use (PIU) and motivation to learn, and examined psychological and social factors mediating this relationship. Two hundred and eighty-five students in an Italian University were recruited for the current study. There was a negative relationship between PIU and motivation to…
Descriptors: Internet, Learning Motivation, College Students, Psychological Patterns
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Almerich, Gonzalo; Suárez-Rodríguez, Jesús; Díaz-García, Isabel; Cebrián-Cifuentes, Sara – Journal of Computer Assisted Learning, 2020
The Knowledge Society, along with the non-stop growing technological evolution, entails university students acquiring new competences for them to be successful in society. These are called 21st-century competences that come as high-skill competences -- higher-order thinking capacities and teamwork competences -- and information and communication…
Descriptors: 21st Century Skills, Information Technology, Technological Literacy, Thinking Skills
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Chen, Ming-Puu; Lord, Asta Y. Z.; Cheng, Yu-Yao; Tai, Ku-Chou; Pan, Wen-Harn – Journal of Computer Assisted Learning, 2020
Reflective judgement is crucial for medical-related practitioners in dealing with controversial issues. However, the conformity phenomenon is likely to occur and interfere with reflective judgement learning during interactive activities. Effective strategies are required to moderate the conformity behaviour tendency (CBT) and improve reflective…
Descriptors: Reflection, Decision Making, Physicians, Health Personnel
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Ucar, Hasan; Kumtepe, Alper Tolga – Journal of Computer Assisted Learning, 2020
This exploratory experimental study investigates the impact of motivational strategies based on the Attention, Relevance, Confidence, Satisfaction, and Volition (ARCS-V) model on online learners' academic performance, motivation, volition, and course interest. The research was conducted over an 11-week semester with 122 undergraduate online…
Descriptors: Motivation Techniques, Student Motivation, Online Courses, Electronic Learning
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Thai, Ngoc Thuy Thi; De Wever, Bram; Valcke, Martin – Journal of Computer Assisted Learning, 2020
This study compares four learning environments: face-to-face learning (F2F), fully e-learning (EL), blended learning (BL), and flipped classroom (FC) with respect to students' learning performance. Moreover, this present research studies changes in perceived flexibility, intrinsic motivation, self-efficacy beliefs of students, and the interaction…
Descriptors: Blended Learning, Teaching Methods, Comparative Analysis, Self Efficacy
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Candel, Carmen; Vidal-Abarca, Eduardo; Cerdán, Raquel; Lippmann, Marie; Narciss, Susanne – Journal of Computer Assisted Learning, 2020
This study examines the effects of timing of corrective formative feedback on processing text information on question-answering. Undergraduate students read an expository text and answered questions in two attempts. Students were randomly assigned to a no feedback, immediate feedback and delayed feedback conditions. Students in the feedback…
Descriptors: Time Factors (Learning), Feedback (Response), Computer Assisted Instruction, Undergraduate Students
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Wiafe, Isaac; Koranteng, Felix N.; Owusu, Ebenezer; Ekpezu, Akon O.; Gyamfi, Samuel A. – Journal of Computer Assisted Learning, 2020
Persuasive system features have been widely adopted to encourage attitude and behaviour change. Recently, most social networking sites (SNS) adopt some form of persuasive system features that leverage social influence to deliberately induce prescribed behaviours in their users. However, studies on how these features can be used to promote…
Descriptors: Persuasive Discourse, Social Media, Social Capital, Information Dissemination
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Kim, Min Kyu; Lee, In Heok; Wang, Yinying – Journal of Computer Assisted Learning, 2020
In this study, we examined the role of leadership styles and multi-dimensional learner engagement in how students emerge as learning leaders in asynchronous online discussions. Grounded in the conceptual framework of two dominant leadership styles of transformational and transactional leadership, this study applies the two leadership…
Descriptors: Student Leadership, Group Discussion, Computer Mediated Communication, Leadership Styles
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Colliot, Tiphaine; Jamet, Éric – Journal of Computer Assisted Learning, 2020
We investigated the effects of readymade versus self-generated graphic organizers (GOs) on learning, comparing the performances of undergraduates (N = 81) tasked with learning a multimedia document. This document was either presented on its own ("control group"), with a readymade GO, or with a blank GO that students had to fill in either…
Descriptors: Instructional Materials, Learning Processes, Undergraduate Students, Multimedia Materials
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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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