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Showing 1 to 15 of 135 results Save | Export
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Christina Areizaga Barbieri; Brianna L. Devlin – Journal of Computer Assisted Learning, 2024
Background: Providing students with worked out problem solutions is a beneficial instructional technique in STEM disciplines, and studying examples that have been worked out incorrectly may be especially helpful for reducing misconceptions in students with low prior content knowledge. However, past results are inconclusive and the effects of…
Descriptors: STEM Education, Misconceptions, Fractions, Error Patterns
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Doug Kueker; Joi Moore – Journal of Computer Assisted Learning, 2024
Background: Learning to use software using screencast videos with worked examples in the corresponding practice files presents a classic split-attention problem that requires learners to mentally integrate information from the video with a target application. While there is evidence that splitting attention either temporally or spatially adversely…
Descriptors: Participant Observation, Interactive Video, Computer Peripherals, Attention Control
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Katharina Alexandra Whalen; Alexander Renkl; Alexander Eitel; Inga Glogger-Frey – Journal of Computer Assisted Learning, 2024
Background: Students often show unfavourable attribution: they attribute poor school performance to stable factors such as lack of ability and good school performance to variable factors such as effort. However, attribution can be influenced by individualized digital re-attributional feedback leading to positive motivational effects and higher…
Descriptors: Feedback (Response), Computer Mediated Communication, Secondary School Mathematics, Student Motivation
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Maarten Sluijs; Uwe Matzat – Journal of Computer Assisted Learning, 2024
Background: Technological innovations such as Learning Management Systems (LMS) are becoming more and more prevalent in the learning environments of students. Distilling and acting on knowledge gathered from these systems, the field known as learning analytics, allows educators to hone their craft and support students more effectively by providing…
Descriptors: Time Management, Learning Analytics, Learning Management Systems, Predictive Measurement
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Rustam Shadiev; Yingying Feng; Roza Zhussupova; Yueh-Min Huang – Journal of Computer Assisted Learning, 2024
Background: Tele-collaborative projects serve as invaluable platforms for students from diverse countries to engage in cross-cultural communication and exchange cultural knowledge. These projects offer immense benefits in terms of fostering intercultural competence among participants. However, one challenge arises when participants engage in…
Descriptors: Telecommunications, Feedback (Response), Assistive Technology, Verbal Communication
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Patricia Feubli; Douglas MacKevett; Jürg Schwarz – Journal of Computer Assisted Learning, 2024
Background: This research paper presents a cross-sectional study that examinefs the preferences of students for hybrid teaching and learning scenarios. Unlike previous studies that merely describe hybrid scenarios, this research prioritizes them, offering evidence-based findings for informed policy decisions. Methods: The data collection method…
Descriptors: Blended Learning, Preferences, Foreign Countries, Educational Environment
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Douglas, Sara; Slusser, Emily; Felton, Mark – Journal of Computer Assisted Learning, 2023
Background: Dialogic engagement is instrumental in promoting higher-order thinking, motivation, and learning. Despite their dramatic uptake in the US in the past decade, there is limited evidence that online high school courses offer sufficient opportunities for students to communicate and collaborate with teachers and peers. Objectives: This…
Descriptors: Academic Language, Online Courses, Best Practices, Teacher Attitudes
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Sun, Chunmei; Hwang, Gwo-Jen; Yin, Zhaoyi; Wang, Zhonghou; Wang, Zhuo – Journal of Computer Assisted Learning, 2023
Background: Social annotation (SA) allows users to collaboratively highlight important texts, make comments and discuss with each other on the same online document. This would not only accelerate and deepen learners' cognitive understanding of information, but also help build a sense of rapport, which is critical especially because of the…
Descriptors: Trend Analysis, Computer Mediated Communication, Cooperative Learning, Documentation
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Ye, Dan; Pennisi, Svoboda – Journal of Computer Assisted Learning, 2022
Background: Online discussion is one of the commonly used tools to enhance students' interactions and engagements in online courses, but it is not clear how social presence in online discussions impacts students' learning and what kinds of interactions we should encourage. Social network analysis provides a new methodology to investigate how…
Descriptors: Discourse Analysis, Computer Mediated Communication, Discussion Groups, Social Networks
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Huang, Weijiao; Hew, Khe Foon; Fryer, Luke K. – Journal of Computer Assisted Learning, 2022
Background: The use of chatbots as learning assistants is receiving increasing attention in language learning due to their ability to converse with students using natural language. Previous reviews mainly focused on only one or two narrow aspects of chatbot use in language learning. This review goes beyond merely reporting the specific types of…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Computer Mediated Communication
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Chen, Si; Ouyang, Fan; Jiao, Pengcheng – Journal of Computer Assisted Learning, 2022
Background: Online Collaborative Writing (OCW) has been reported to be useful to improve writing quality in higher education. However, challenges emerge during the collaborative processes, mainly centering on how to sustain active interactions and communications in order to complete a high quality of writing. Objectives: Using the design-based…
Descriptors: Learner Engagement, Computer Mediated Communication, Collaborative Writing, Cooperative Learning
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Bahari, Akbar – Journal of Computer Assisted Learning, 2021
This paper reviews the theoretical and pedagogical affordances and challenges highlighted in studies on correcting second language (L2) learners' errors via computer-mediated feedback (CMF) in blended and distance learning. The study aimed at understanding and conveying the reported challenges and affordances of CMF to inform the computer-assisted…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Teaching Methods
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Seidenberg, Nina; Scheffel, Maren; Kovanovic, Vitomir; Lynch, Grace; Drachsler, Hendrik – Journal of Computer Assisted Learning, 2021
Background: The COVID-19 outbreak came with an unprecedented opportunity to investigate how the new reality of social distancing and limited international travel will affect the organization of academic conferences. Objectives: Drawing on conceptualization of academic conferences as professional learning spaces, in this study, we examine the…
Descriptors: COVID-19, Pandemics, Conferences (Gatherings), Teleconferencing
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Liu, Yingjie; Butzlaff, Alice – Journal of Computer Assisted Learning, 2021
Background: Virtual reality can be a useful substitute to improve nursing education outside of the hospital setting. In the wake of COVID-19, an opportunity to compare a virtual reality activity for nursing students in the traditional classroom and in an online environment took place. Objectives: The goal of this study was to examine the effects…
Descriptors: Computer Simulation, Simulated Environment, Hospitals, Nursing Education
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Luik, Piret; Lepp, Marina – Journal of Computer Assisted Learning, 2021
Background: The coronavirus pandemic has affected education worldwide. Estonian schools moved to distance learning on March 16. Objectives: This paper outlines the stages of unexpected and temporary changes affecting different stakeholders based on activity and content of the messages in the Facebook group 'Homeschooling with technology'. Also the…
Descriptors: Distance Education, COVID-19, Pandemics, Social Media
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