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Showing 46 to 60 of 128 results Save | Export
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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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Niu, Liwei; Wang, Xinghua; Wallace, Matthew P.; Pang, Hui; Xu, Yanping – Journal of Computer Assisted Learning, 2022
Background: In view of the widespread use of digital technologies in English as a foreign language (EFL) learning and the importance of students' approaches to learning (SAL) and digital competence, as well as the threats of technostress in digital settings, digital EFL learning requires a critical examination. Objectives: This study sought to…
Descriptors: English (Second Language), Educational Technology, Electronic Learning, Second Language Learning
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Arshad, Arooj; Ghazal, Saima; Saleem, Noshina; Hanan, Mian Ahmad; Arshad, Muhammad Haseeb – Journal of Computer Assisted Learning, 2022
Background: In this technologically advanced era, media literacy is necessary to effectively evaluate the information and understand various biases inherent in media messages. Several media literacy (ML) tools are available; however, we need generic and objective tools that can be applied to all forms of media messages. Objectives: The current…
Descriptors: Media Literacy, Foreign Countries, Measurement Techniques, Measures (Individuals)
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Andersen, Martin S.; Makransky, Guido – Journal of Computer Assisted Learning, 2021
Measuring cognitive load is important in virtual learning environments (VLE). Thus, valid and reliable measures of cognitive load are important to support instructional design in VLE. Through three studies, we investigated the validity and reliability of Leppink's Cognitive Load Scale (CLS) and developed the extraneous cognitive load (EL)…
Descriptors: Test Construction, Test Validity, Test Reliability, Cognitive Processes
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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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Stevanovic, Aleksandra; Božic, Radoslav; Radovic, Slaviša – Journal of Computer Assisted Learning, 2021
Background: The COVID-19 pandemic has created significant challenges for the global higher education community. Understanding of students' perception has important implications for the quality of the learning process, as it affects students' engagement in learning, helps educators rethink the principles of the learning design and further improve…
Descriptors: Student Experience, Student Attitudes, Distance Education, COVID-19
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Göksu, Idris; Ergün, Naif; Özkan, Zafer; Sakiz, Halis – Journal of Computer Assisted Learning, 2021
The COVID-19 pandemic has led to a rapid transition from face-to-face to distance learning. The problems caused by this rapid transition are combined with the negative psychological outcomes of the pandemic, leading to numerous problems and difficulties in the teaching and learning processes. The recentness of these issues and developments…
Descriptors: Distance Education, Pandemics, COVID-19, Psychological Patterns
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Su, Chien-Yuan; Guo, Yuqing – Journal of Computer Assisted Learning, 2021
Due to the COVID-19 epidemic crisis, students from higher education institutions around the world are forced to participate in comprehensive online curriculums. In such a scenario, it is worth investigating how students perceived their learning outcomes and satisfaction based on this method of teaching and learning online. This study aims to…
Descriptors: Educational Experience, Online Courses, COVID-19, Pandemics
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Baruth, Orit; Gabbay, Hagit; Cohen, Anat; Bronshtein, Alla; Ezra, Orit – Journal of Computer Assisted Learning, 2021
Background: The outbreak of the novel coronavirus (COVID-19) at the beginning of 2020 forced most higher education institutions to shift immediately from traditional learning to distance learning and emergency remote teaching (ERT). Objectives: This research aimed to capture the authentic sounds of this unusual learning experience from the field…
Descriptors: COVID-19, Pandemics, Distance Education, School Closing
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Shimaya, Jiro; Yoshikawa, Yuichiro; Ogawa, Kohei; Ishiguro, Hiroshi – Journal of Computer Assisted Learning, 2021
Encouraging students to actively ask questions during lectures is a formidable challenge that can be addressed through innovative use of information technology. We developed a robotic system that allows students in a lecture to collaboratively decide questions to be asked by a humanoid robot. To verify whether the system reduces hesitation to ask…
Descriptors: Robotics, Technology Integration, Questioning Techniques, Synchronous Communication
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Wang, Xinghua; Wang, Zhuo; Wang, Qiyun; Chen, Wenli; Pi, Zhongling – Journal of Computer Assisted Learning, 2021
Digital competence is critical for university students to adapt to and benefit from digitally enhanced learning. Prior studies on its measurement mostly focus on educators and relied on factor analyses. However, there is a lack of valid and convenient tools to measure university students' digital competence. This study aimed to develop a digital…
Descriptors: Electronic Learning, Technological Literacy, College Students, Measures (Individuals)
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Joo, Hyun; Park, Jongchan; Kim, Dongsik – Journal of Computer Assisted Learning, 2021
In their prior research on adaptive instruction for multi-representational learning, the researchers explored various perspectives on designing visual representations and scaffolds. However, controversies and discrepancies regarding the fidelity of visual representations and self-explanation prompts have yet to be resolved. This research thus…
Descriptors: Visual Aids, Fidelity, Cues, College Students
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Heidari, Elham; Mehrvarz, Mahboobe; Marzooghi, Rahmatallah; Stoyanov, Slavi – Journal of Computer Assisted Learning, 2021
During the COVID-19 crisis, digital informal learning is important for students' academic engagement. Although scholars have highlighted the importance of students' digital competence in improving digital informal learning (DIL), the mediating role of DIL between digital competence and academic engagement has remained ambiguous. The purpose of…
Descriptors: Electronic Learning, Informal Education, Correlation, Technological Literacy
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Wang, Yi-Hsuan – Journal of Computer Assisted Learning, 2021
The study designed WebQuest activities and explored the learning performance of learners to understand the suitability of using WebQuest in a college programming course. The study modified the processes of WebQuest based on social constructivism and scaffolding learning, and included programming tasks such as debugging practice to encourage…
Descriptors: Learning Activities, Programming, Academic Achievement, Educational Technology
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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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