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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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Lei Han; Haoyue Guo; Zongshuo Ma; Ruihua Wang; Mengshi Xiao – Journal of Computer Assisted Learning, 2024
Background: Given the current technological advancements and the growing need for remote education, multimedia learning has become more popular among teachers and students. Therefore, the creation of multimedia teaching programmes that can improve learning outcomes has become increasingly important. However, there is a lack of research on whether…
Descriptors: College Students, College Faculty, Multimedia Instruction, Visual Stimuli
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Josef Šedlbauer; Jan Cincera; Martin Slavík; Adéla Hartlová – Journal of Computer Assisted Learning, 2024
Background: The emergence of Generative Artificial Intelligence has brought a number of ethical and practical issues to higher education. Solid experimental evidence is yet inadequate to set the functional rules for the new technology. Objectives: The objective of this study is to analyse the experience of undergraduate students' interaction with…
Descriptors: Artificial Intelligence, Higher Education, Undergraduate Students, Interaction
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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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Xin Tang; Zhiqiang Yuan; Shaojun Qu – Journal of Computer Assisted Learning, 2025
Background: Generative artificial intelligence (AI) represents a significant technological leap, with platforms like OpenAI's ChatGPT and Baidu's Ernie Bot at the forefront of innovation. This technology has seen widespread adoption across various sectors of society and is anticipated to revolutionise the educational landscape, especially in the…
Descriptors: Influences, College Students, Student Behavior, Intention
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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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Meng Cai; Han Luo; Xiao Meng; Jiaqi Liu – Journal of Computer Assisted Learning, 2024
Background: Higher vocational education is an essential part of the higher education system that complements conventional education. In the context of information and communication technology (ICT) development and academic competition, more and more literature has proved the importance of ICT use in educational development (academic achievement…
Descriptors: Higher Education, Vocational Education, Educational Technology, Technology Uses in Education
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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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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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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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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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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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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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Angelica Ronconi; Lucia Mason; Lucia Manzione; Anne Schüler – Journal of Computer Assisted Learning, 2025
Background: During digital reading on internet-connected devices, students may be exposed to a variety of on-screen distractions. Learning by reading can therefore become a fragmented experience with potentially negative consequences for reading processes and outcomes. Objectives: This study investigated the effects of on-screen distractions, as…
Descriptors: Eye Movements, Electronic Learning, Computer Uses in Education, Reading
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