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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
Zehang Xie; Xinzhu Wu; Yunxiang Xie – Journal of Computer Assisted Learning, 2024
Background: With the development of artificial intelligence (AI) technology, generative AI has been widely used in the field of education and represents a groundbreaking shift in overcoming the constraints of time and space within educational activities. However, previous literature has not paid enough attention to AI-involved teaching patterns,…
Descriptors: Longitudinal Studies, Undergraduate Students, Robotics, Technology Uses in Education
van den Berghe, Rianne; de Haas, Mirjam; Oudgenoeg-Paz, Ora; Krahmer, Emiel; Verhagen, Josje; Vogt, Paul; Willemsen, Bram; de Wit, Jan; Leseman, Paul – Journal of Computer Assisted Learning, 2021
This study investigates the degree to which children anthropomorphize a robot tutor and whether this anthropomorphism relates to their vocabulary learning in a second-language (L2) tutoring intervention. With this aim, an anthropomorphism questionnaire was administered to 5-year-old children (N = 104) twice: prior to and following a seven-session…
Descriptors: Young Children, Robotics, Vocabulary Development, Teaching Methods
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
Wang, Cong; Zhu, Sida; Zhang, Haijing – Journal of Computer Assisted Learning, 2023
Background: Since the outbreak of COVID-19, universities in Hong Kong have implemented online and hybrid teaching modes, making computer-assisted language learning (CALL) a primary way for English learning. Research on English learning motivation and self-regulation has seldom considered learners' emotions (satisfaction and preparedness) and the…
Descriptors: Foreign Countries, Student Motivation, Online Courses, English (Second Language)
Heo, Heeok; Bonk, Curtis J.; Doo, Min Young – Journal of Computer Assisted Learning, 2021
Background: Due to the global COVID-19 pandemic, online learning became the only way to learn during this unprecedented crisis. This study began with a simple but vital question: What factors influenced the success of online learning during the COVID-19 pandemic with a focus on online learning self-efficacy? Objectives: The purpose of this study…
Descriptors: Learner Engagement, Technology Integration, Technological Literacy, Self Efficacy
Kaarakainen, Meri-Tuulia; Saikkonen, Loretta – Journal of Computer Assisted Learning, 2021
The adoption of technology in teaching has been identified to relate to various factors from attitudes and self-efficacy to subjective norms and digital references. The aim of this study is to broaden the perspective to hierarchical grouping effects. Multilevel modelling of the study utilizes the data of 2355 Finnish basic education teachers. The…
Descriptors: Technology Integration, Elementary School Teachers, Secondary School Teachers, Compulsory Education
Wang, Hongyan; Pi, Zhongling; Hu, Weiping – Journal of Computer Assisted Learning, 2019
Instructor behaviour is known to affect learning performance, but it is unclear which specific instructor behaviours can optimize learning. We used eye-tracking technology and questionnaires to test whether the instructor's gaze guidance affected learners' visual attention, social presence, and learning performance, using four video lectures:…
Descriptors: Video Technology, Lecture Method, Nonverbal Communication, Eye Movements
Wu, Y. – Journal of Computer Assisted Learning, 2016
Technologies bring a new era of content presentation for online teaching and learning. With more instructors adopting new tools to design online teaching materials, students are often put into learning contexts with certain new design components. Assessing learner experience and outcome in these contexts is challenging because of the complexity…
Descriptors: Educational Technology, Technology Uses in Education, Online Courses, Models
Meehan, Maria; McCallig, John – Journal of Computer Assisted Learning, 2019
We apply Carroll's model of school learning, which theorizes about the relationship between time and learning, to motivate the design of a large, first-year, university mathematics course, where students have the choice to attend lectures and/or watch online videos. The theoretical model informs how the course and resources are designed in order…
Descriptors: Time on Task, Video Technology, Learning Processes, Correlation
Rayyan, S.; Fredericks, C.; Colvin, K. F.; Liu, A.; Teodorescu, R.; Barrantes, A.; Pawl, A.; Seaton, D. T.; Pritchard, D. E. – Journal of Computer Assisted Learning, 2016
We describe three iterations of a Massive Open Online Course (MOOC) developed from online preparation materials for a reformed introductory physics classroom at the Massachusetts Institute of Technology, in which the teaching staff interact with small groups of students doing problems using an expert problem-solving pedagogy. The MOOC contains an…
Descriptors: Online Courses, Large Group Instruction, Physics, Science Instruction
Karvounidis, T.; Chimos, K.; Bersimis, S.; Douligeris, C. – Journal of Computer Assisted Learning, 2014
In this work, Web 2.0 technologies in higher education are evaluated using students' perceptions, satisfaction, performance and behaviour. The study evaluates the Web 2.0 tools as stand-alone entities as well in terms of their cross-operability and integration (confluence) to synergistic contributions towards the enhancement of student…
Descriptors: Web 2.0 Technologies, Computer Software Evaluation, Higher Education, Student Attitudes
Krauskopf, K.; Forssell, K. – Journal of Computer Assisted Learning, 2018
In an effort to understand teachers' technology use, recent scholarship has explored the idea of technological pedagogical content knowledge (TPCK or TPACK). Many studies have used self-reports to measure this knowledge (SR TPCK). Several studies have examined the construct validity of these assessments by analysing the internal relationships of…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Teacher Attitudes, Student Attitudes
Song, D.; Lee, J. – Journal of Computer Assisted Learning, 2014
Learning is becoming increasingly self-directed and often occurs away from schools and other formal educational settings. The development of a myriad of new technologies for learning has enabled people to learn anywhere and anytime. Web 2.0 technology allows researchers to shed a new light on the importance and prevalence of informal learning.…
Descriptors: Computer Uses in Education, Web 2.0 Technologies, Informal Education, Web Sites
Giesbers, B.; Rienties, B.; Tempelaar, D.; Gijselaers, W. – Journal of Computer Assisted Learning, 2014
With the increased affordances of synchronous communication tools, more opportunities for online learning to resemble face-to-face settings have recently become available. However, synchronous communication does not afford as much time for reflection as asynchronous communication. Therefore, a combination of synchronous and asynchronous…
Descriptors: Asynchronous Communication, Synchronous Communication, Educational Technology, Online Courses