NotesFAQContact Us
Collection
Advanced
Search Tips
Source
Journal of Computer Assisted…39
Audience
Researchers1
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 39 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Liujie Xu; Xuefei Zou; Yuxue Hou – Journal of Computer Assisted Learning, 2024
Background: Data literacy (DL) is vital for teachers, as it enables them to build on data and improve teaching and learning. Therefore, developing DL among pre-service teachers is critical. Objectives: The purpose of this study is threefold: to evaluate whether a feedback visualisation of peer assessment-based teaching approach (FVPA-based…
Descriptors: Statistics Education, Comparative Analysis, Preservice Teachers, Teacher Education Programs
Peer reviewed Peer reviewed
Direct linkDirect link
Hong, Jon-Chao; Tai, Kai-Hsin; Luo, Wan-Lun; Sher, Yung-Ji; Kao, Yi-Wen – Journal of Computer Assisted Learning, 2022
Background: Many gamification applications (apps) have been designed to motivate students to learn particular content. Based on the brain activation approach, the present study adapted an app, named Shaking-On, which requires students to shake their mobile devices to send their answers to multiple-choice questions to the teacher. Students then…
Descriptors: Comparative Analysis, Computer Games, Computer Software, Telecommunications
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Li, Yuhao; Chang, Mengyi; Zhao, Hanxuan; Jiang, Caihong; Xu, Sihua – Journal of Computer Assisted Learning, 2023
Background: Mobile devices facilitate learning activities in a self-paced way. However, the current understanding of learning participation and its consequence are minimal when learners take advantage of opportunities provided by mobile technologies worldwide. Aims: The primary purpose of this study is to examine the effectiveness of environmental…
Descriptors: Anxiety, Computer Software, Computer Assisted Instruction, Learning Processes
Peer reviewed Peer reviewed
Direct linkDirect link
Dipali Basumatary; Ranjan Maity – Journal of Computer Assisted Learning, 2024
Background: Augmented reality can provide a 3D virtual experience, widely used in modern education. However, the impact of these applications on the underdeveloped tribal community has yet to be investigated. To our knowledge, no markerless augmented reality application has been developed especially for learning the language of the Bodo tribe.…
Descriptors: Computer Simulation, Language Maintenance, Tribes, Teaching Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Alam, Md. I.; Malone, Lauren; Nadolny, Larysa; Brown, Michael; Cervato, Cinzia – Journal of Computer Assisted Learning, 2023
Background: The substantial growth in gamification research has connected gamified learning to enhanced engagement, improved performance, and greater motivation. Similar to gamification, personalized learning analytics dashboards can enhance student engagement. Objectives: This study explores the student experiences and academic achievements using…
Descriptors: Academic Achievement, Game Based Learning, Introductory Courses, STEM Education
Peer reviewed Peer reviewed
Direct linkDirect link
Elif Sari; Turgay Han – Journal of Computer Assisted Learning, 2024
Background: With the growing trend of integrating technology into teaching environments, using Automated Writing Evaluation (AWE) in writing instruction has been extensively studied over the last two decades. The studies on AWE mostly investigated its impact on students' writing proficiencies and revealed conflicting results. However, very few…
Descriptors: Writing Evaluation, Second Language Learning, Second Language Instruction, English (Second Language)
Peer reviewed Peer reviewed
Direct linkDirect link
Van Ginkel, Stan; Ruiz, Dominic; Mononen, Asko; Karaman, Cendel; de Keijzer, Ander; Sitthiworachart, Jirarat – Journal of Computer Assisted Learning, 2020
Feedback plays a central role in learning. Crucial to this is the nature and timing of the feedback. This experimental study explores the efficacy of immediate computer-mediated feedback within a virtual reality environment designed to facilitate the development of pre-university students' presentation skills. Two conditions were established to…
Descriptors: Feedback (Response), Teaching Methods, Computer Mediated Communication, Instructional Effectiveness
Peer reviewed Peer reviewed
Direct linkDirect link
Papadopoulos, Pantelis M.; Natsis, Antonis; Obwegeser, Nikolaus; Weinberger, Armin – Journal of Computer Assisted Learning, 2019
The aim of the present study (n = 113) was to examine how (objective and subjective) information on peers' preparation, confidence, and past performance can support students in answering correctly in audience response systems (aka clickers). The result analysis shows that in the "challenging" questions, in which answers diverged,…
Descriptors: Feedback (Response), Audience Response Systems, Self Esteem, Student Attitudes
Peer reviewed Peer reviewed
Direct linkDirect link
Zhang, Yining; Lin, Chin-Hsi – Journal of Computer Assisted Learning, 2021
This study extends the community of inquiry (CoI) framework and self-regulated learning (SRL) theory through an exploration of the structural relationships among existing CoI variables, learning presence (i.e., self-efficacy and online SRL strategy) and learning outcomes in the context of K-12 online learning. To help understand the influence of…
Descriptors: Mentors, Communities of Practice, Metacognition, Self Efficacy
Peer reviewed Peer reviewed
Direct linkDirect link
Gao, Fei; Zhao, Na; Li, Xiumei – Journal of Computer Assisted Learning, 2020
This study was conducted to examine how a collaborative social annotation tool can be used to support collaborative learning in translation instruction for EFL students. Participants were 100 undergraduate students who were English majors in a southeast university in China. An experiment with crossover design was carried out to examine the…
Descriptors: Translation, Student Motivation, Student Attitudes, Cooperative Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Soffer, Tal; Nachmias, Rafi – Journal of Computer Assisted Learning, 2018
This study examined the effectiveness of 3 online courses compared with the same 3 courses in a face-to-face (F2F) format, which had the same characteristics (e.g., the same instructor and final exam content and place). Effectiveness was examined by utilizing a wide range of variables, including 2 objective measures (N = 968): grades and…
Descriptors: Instructional Effectiveness, Teaching Methods, Conventional Instruction, Online Courses
Peer reviewed Peer reviewed
Direct linkDirect link
Lin, Jian-Wei – Journal of Computer Assisted Learning, 2019
Team-based learning (TBL) stresses applying knowledge rather than absorbing knowledge in class; studies have investigated the use of TBL and its merits in different teaching courses (e.g., medical science and business). TBL is most effective when students learn autonomously before class. However, the ability of autonomous learning is highly…
Descriptors: Teamwork, Metacognition, Learning Strategies, Knowledge Level
Previous Page | Next Page »
Pages: 1  |  2  |  3