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Schmitz, Birgit; Hanke, Katja – Journal of Computer Assisted Learning, 2023
Background: The COVID-19 lockdown forced students and teachers to adjust to remote lecturers and digital learning material and design criteria for online classes became the centre of discussion. Objectives: The purpose of this empirical study was to investigate the relationship between design principles of educational online practices in higher…
Descriptors: Learner Engagement, Expectation, Instructional Effectiveness, Instructional Design
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Novak, Elena; Mulvey, Bridget K. – Journal of Computer Assisted Learning, 2021
There is growing demand in our society to cultivate creativity and foster innovation. Design thinking has been successfully practiced as an educational framework for supporting innovation in educational and work contexts. However, research on design thinking education that facilitates the acquisition of knowledge related to design process and…
Descriptors: Design, Innovation, Educational Technology, Instructional Design
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Suat Kaya – Journal of Computer Assisted Learning, 2024
Background: Ambiguity prevails concerning the fundamental methodological characteristics of computer-assisted argument mapping (CAAM) learning environments, particularly in their capacity to facilitate critical thinking within tertiary education. Previous scholarly investigations have failed to furnish an exhaustive elucidation of the…
Descriptors: Intervention, Technology Uses in Education, Persuasive Discourse, Online Courses
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Ding, Yan; Zhao, Ting – Journal of Computer Assisted Learning, 2020
Emotions are critical to learning. However, the function of emotions in the emerging context of massive open online courses (MOOCs) has been under-researched. The present study complemented this line of research by modelling the relation between learner emotions, engagement with videos, engagement with assignments, and self-perceived achievement…
Descriptors: Psychological Patterns, Online Courses, Learner Engagement, Educational Technology
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Li, Shuang; Wang, Shuang; Du, Junlei; Pei, Yu; Shen, Xinyi – Journal of Computer Assisted Learning, 2022
Background: Failure to effectively organize and manage learning time is an important factor influencing online learners' performance. Investigation of time-investment patterns for online learning will provide educators with useful knowledge of how learners engage in and regulate their online learning and support them in tailoring online course…
Descriptors: Online Courses, Time Management, Time Factors (Learning), Learning Strategies
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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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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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Yen, M.-H.; Chen, S.; Wang, C.-Y.; Chen, H.-L.; Hsu, Y.-S.; Liu, T.-C. – Journal of Computer Assisted Learning, 2018
This article develops a framework for self-regulated digital learning, which supports for self-regulated learning (SRL) in e-learning systems. The framework emphasizes 8 features: learning plan, records/e-portfolio and sharing, evaluation, human feedback, machine feedback, visualization of goals/procedures/concepts, scaffolding, and agents. Each…
Descriptors: Independent Study, Electronic Learning, Models, Online Courses
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Ferguson, R. – Journal of Computer Assisted Learning, 2010
This study investigates how university students on distance learning courses experience interaction with their peers. Students on two distance learning courses at The Open University (UK) were interviewed, to investigate learners' experience of interaction on these courses. The analysis, using a grounded-theory approach, reveals disparities…
Descriptors: Foreign Countries, Distance Education, Online Courses, Web Based Instruction
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Gu, X.; Zhang, B.; Lin, X.; Song, X. – Journal of Computer Assisted Learning, 2009
This paper describes and assesses the development of an online solution for the experiential support of distance learning by teachers. Three hundred and forty-eight randomly selected K-12 teachers participated in this pilot study using the online learning environment designed in this research. Teachers' products, surveys, and interviews were…
Descriptors: Elementary Secondary Education, Distance Education, Online Courses, Experiential Learning
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Young, S. S.-C. – Journal of Computer Assisted Learning, 2004
Following a preliminary evaluation of the Web-mediated School for All in 2002, this study further examines the online teacher role and explores the possible pedagogical models in this Web-based informal lifelong learning context through a long-term innovative e-learning project over a 2-year period. The author documents the educational rationale,…
Descriptors: Teacher Role, Teaching Models, Instructional Design, Online Courses
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Delfino, Manuela; Persico, D. – Journal of Computer Assisted Learning, 2007
This paper illustrates a 5-year case study (from 2001 to 2005) regarding a course in educational technology that involved from 100 to 150 student teachers per year for a total of more than 500 trainees. Since the first version of the course, which was entirely based on a face-to-face approach, computer mediated collaborative learning techniques…
Descriptors: Training Methods, Educational Technology, Student Teachers, Online Courses