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Showing 1 to 15 of 27 results Save | Export
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Mugur V. Geana; Dan Cernusca; Pan Liu – Journal of Computer Assisted Learning, 2024
Background: Education is, after gaming, the second largest sector embracing augmented reality (AR) at an accelerated pace, yet studies on AR's potential as an efficient learning environment had mixed results. Objectives: This study's primary objective is to test students' interaction with graphical 3D elements in AR and its impact on information…
Descriptors: Learner Engagement, Computer Simulation, Technology Uses in Education, Information Dissemination
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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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Ahnaf Chowdhury Niloy; Salma Akter; Nayeema Sultana; Jakia Sultana; Sayed Imran Ur Rahman – Journal of Computer Assisted Learning, 2024
Background: The increasing prevalence of Artificial Intelligence (AI) language models, exemplified by ChatGPT, has sparked inquiries into their influence on creative writing skills in educational contexts. This study aims to quantitatively investigate whether ChatGPT's use negatively affects university students' creative writing abilities,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Creative Writing, Writing Ability
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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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Onele, Nicholas Ogbonna – Journal of Computer Assisted Learning, 2023
Background: The conventional classroom does not seem to adequately address the gender disparity in technology education. This could negatively affect the contributions of the female gender to national development. There was a need to advance a setting that enhances the participation of women in technology education. Aims: This study evaluated…
Descriptors: Computer Simulation, Employment Opportunities, Females, Technology
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Lu, Kaili; Pang, Feng; Shadiev, Rustam – Journal of Computer Assisted Learning, 2023
Background: Inquiry-based learning is a salient instructional approach to cultivate students' higher order thinking skills (HOTS). With the presence and advancement of new technologies, their usage for inquiry learning in university context is increasingly ubiquitous. However, in most circumstances, college students cannot integrate technologies…
Descriptors: College Students, Technology Uses in Education, Teaching Methods, Thinking Skills
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Yeung, Matthew W. L.; Yau, Alice H. Y.; Lee, Crystal Y. P. – Journal of Computer Assisted Learning, 2023
Background: The existing literature has predominantly focused on instructor social presence in videos in an asynchronous learning environment and little is known about student social presence on webcam in online learning in the context of COVID-19. Objectives: This paper therefore contrasts students' and teachers' perspectives on student social…
Descriptors: Video Technology, Electronic Learning, COVID-19, Pandemics
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Almusharraf, Asma; Bailey, Daniel – Journal of Computer Assisted Learning, 2023
Background: Language learners are taking advantage of the increased accuracy afforded by machine translation (MT) tools like Google Translate. There is a growing debate as to whether these tools support or hinder English as a foreign language (EFL) education. Some EFL students are drawn to MT tools to save time and energy when communicating, but…
Descriptors: Translation, Computational Linguistics, Language Acquisition, Second Language Learning
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Li, Wenjing; Wang, Fuxing; Mayer, Richard E.; Liu, Tao – Journal of Computer Assisted Learning, 2022
Background: With the rapid popularization of e-learning, how to improve online learning has aroused widespread concern. A human-like pedagogical agent (PA) that displays eye gaze and gestures, is often added to online multimedia lessons to increase social connection and improve learning in e-learning environments. However, there has been a debate…
Descriptors: Online Courses, Animation, Educational Technology, Technology Uses in Education
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Cohen, Anat; Soffer, Tal; Henderson, Michael – Journal of Computer Assisted Learning, 2022
Background: The rapid globalization along with the growing trend of openness and sharing approach enabled widespread of digital technologies all over the world. However, we can still find differences between countries in technology use and perceptions of usefulness for learning. Understanding students' use of educational technology and their…
Descriptors: Technology Uses in Education, Educational Technology, Electronic Learning, COVID-19
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Fu, En; Gao, Qiufeng; Wei, Chuqian; Chen, Qianyi; Liu, Yijun – Journal of Computer Assisted Learning, 2021
Smartphone use in learning settings is a common behaviour amongst college students. Building on the theory of consumerism, self-efficacy and addictive behaviours, the current study developed a three-component conceptual framework to understand college students' smartphone use in organizational as well as self-directed learning settings. One…
Descriptors: Foreign Countries, College Students, Handheld Devices, Telecommunications
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Almusharraf, Norah Mansour; Bailey, Daniel – Journal of Computer Assisted Learning, 2021
During the COVID-19 outbreak, students had to cope with succeeding in video-conferencing classes susceptible to technical problems like choppy audio, frozen screens and poor Internet connection, leading to interrupted delivery of facial expressions and eye-contact. For these reasons, agentic engagement during video-conferencing became critical for…
Descriptors: COVID-19, Pandemics, Cooperative Learning, English (Second Language)
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Stárková, Tereza; Lukavský, Jirí; Javora, Ondrej; Brom, Cyril – Journal of Computer Assisted Learning, 2019
Anthropomorphizing graphical elements in multimedia learning materials improves learning outcomes. The reasons for enhanced learning are unclear. We extended a seminal anthropomorphism study in order to examine whether the effect of anthropomorphisms on learning outcomes, both immediate and delayed, is caused by the anthropomorphized elements'…
Descriptors: Multimedia Instruction, Educational Technology, Technology Uses in Education, Learning
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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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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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