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Yu Cui; Lingjie Tang; Fang Fang – Journal of Computer Assisted Learning, 2025
Background Study: With the rapid transition to remote learning necessitated by the closure of traditional educational infrastructures globally, the arena of informal digital learning of English (IDLE) has received much attention, particularly among English as a Foreign Language (EFL) learners in China. Objective: This study explores how…
Descriptors: Electronic Learning, Artificial Intelligence, Predictor Variables, Informal Education
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Martin Merkt; Daniel Bodemer – Journal of Computer Assisted Learning, 2024
Background: When watching educational online videos, learners need to determine whether the videos' contents are suitable for learning. Whereas this may induce metacognitive monitoring processes, it may also distract learners from the learning materials. Objectives: In the current set of experiments, we investigated whether asking participants to…
Descriptors: Video Technology, Teaching Methods, Metacognition, Instructional Materials
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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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Froehlich, Laura; Sassenberg, Kai; Jonkmann, Kathrin; Scheiter, Katharina; Stürmer, Stefan – Journal of Computer Assisted Learning, 2023
Background: The use of e-exams in higher education is increasing. However, the role of student diversity in the acceptance of e-exams is an under-researched topic. In the current study, we considered student diversity in terms of three sociodemographic characteristics (age, gender, and second language) and three dispositional student…
Descriptors: Student Diversity, Student Attitudes, Computer Assisted Testing, Student Characteristics
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de Mooij, Susanne M. M.; Raijmakers, Maartje E. J.; Dumontheil, Iroise; Kirkham, Natasha Z.; van de Maas, Han L. J. – Journal of Computer Assisted Learning, 2021
While response time and accuracy indicate overall performance, their value in uncovering cognitive processes, underlying learning, is limited. A promising online measure, designed to track decision-making, is computer mouse tracking, where mouse attraction towards different locations may reflect the consideration of alternative response options.…
Descriptors: Error Patterns, Identification, Computer Peripherals, Computer Uses in Education
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Tsai, Yu-Ling; Tsai, Chin-Chung – Journal of Computer Assisted Learning, 2020
This meta-analysis investigates the relative effectiveness of game-based science learning against other instructional methods (Gameplay design) as well as against science game variants enriched with mechanisms (Game-mechanism design). An overall medium effect size for Gameplay design (k = 14, N[subscript es] = 14, g[subscript RE] = 0.646, p =…
Descriptors: Game Based Learning, Science Instruction, Teaching Methods, Educational Games
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Swinnerton, B.; Hotchkiss, S.; Morris, N. P. – Journal of Computer Assisted Learning, 2017
This paper investigates the characteristics and behaviour of learners on nine Massive Open Online Courses (MOOCs) on the FutureLearn platform in 2014 and 2015. FutureLearn's social constructivist approach, which emphasizes learning through social interaction, makes the focus on forum posting within these MOOCs particularly appropriate. This study…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
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Farsani, Danyal; Radmehr, Farzad; Alizadeh, Mohadaseh; Zakariya, Yusuf Feyisara – Journal of Computer Assisted Learning, 2021
With the technological improvements of innovative portable recording gadgets, augmented researchers' interest in exploring students' visual attention in their natural and normal occurring classrooms. The purpose of this study was to gauge students' visual attention in their Mathematics and English classrooms. This article reports on a study…
Descriptors: Mathematics Instruction, Second Language Learning, Second Language Instruction, English (Second Language)
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Wang, Y.-H.; Young, S. S.-C. – Journal of Computer Assisted Learning, 2015
This paper presents a study on implementing the ASR-based CALL (computer-assisted language learning based upon automatic speech recognition) system embedded with both formative and summative feedback approaches and using implicit and explicit strategies to enhance adult and young learners' English pronunciation. Two groups of learners including 18…
Descriptors: Computer Assisted Instruction, Formative Evaluation, Summative Evaluation, Adults
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Fluck, A.; Dowden, T. – Journal of Computer Assisted Learning, 2013
Few contemporary pre-service teachers would have completed their schooling with the extensive aid of computers. Yet, classroom use of information and communication technology (ICT) is now ubiquitous in much of the world. Today's pre-service teachers are the "cusp generation" who, at a unique moment in history, straddle the two worlds of…
Descriptors: Student Teacher Attitudes, Preservice Teachers, Attitude Measures, Educational Technology
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Vandenbroeck, M.; Verschelden, G.; Boonaert, T. – Journal of Computer Assisted Learning, 2008
The literature seems to suggest that women may be at risk from being excluded from adult education programmes, which use e-learning, especially when they have low economic status. Based on a survey of 551 women, family day care providers, we conclude that there is a persistent divide in PC access and use, as well as in perceived PC skills…
Descriptors: Economic Status, Females, Computer Assisted Instruction, Motivation
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Mellar, Harvey; Jackson, A. – Journal of Computer Assisted Learning, 1992
Describes a survey of teachers enrolling in postgraduate courses in Great Britain that was conducted to determine prior information technology experience and what the students perceived as information technology training needs. Highlights include differences between primary and secondary teachers, gender issues, age, and computer ownership. (16…
Descriptors: Age Differences, Comparative Analysis, Educational Technology, Elementary School Teachers