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Jia Li; Novera Roihan; Matthew McGravey – Journal of Computer Assisted Learning, 2025
Background: Online learning has become a popular form of education. Prior to the COVID-19 pandemic, online learning was mainly associated with higher education, with an incremental growth at the K-12 level. The pandemic changed this situation rapidly. Online instruction has been increasingly integrated into secondary schools and has significantly…
Descriptors: High School Students, Student Attitudes, Electronic Learning, Student Experience
Liping Jiang; Menglei Lv; Mengmeng Cheng; Xia Chen; Changhong Peng – Journal of Computer Assisted Learning, 2024
Background: The introduction of Small Private Online Courses (SPOCs) in English as a Foreign Language (EFL) instruction at Higher Vocational Colleges (HVCs) signifies a shift in education. Understanding the factors that affect deep learning in this SPOC context is crucial for improving educational outcomes. Objectives: By employing grounded…
Descriptors: Higher Education, Vocational Education, College Students, Private Education
Saman Rizvi; Bart Rienties; Jekaterina Rogaten; René F. Kizilcec – Journal of Computer Assisted Learning, 2024
Background: Extensive research on massive open online courses (MOOCs) has focused on analysing learners' behavioural trace data to understand navigation and activity patterns, which are known to vary systematically across geo-cultural contexts. However, the perception of learners regarding the role of different learning design elements in…
Descriptors: MOOCs, Inclusion, Instructional Design, Participant Characteristics
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
Lange, C.; Costley, J. – Journal of Computer Assisted Learning, 2018
Highly interactive and complex content within e-learning induces high levels of intrinsic load. Self-regulated effort represents one strategy that may help learners overcome such issues within e-learning. Using intrinsic load items representative of content complexity, germane load items representative of learning, and self-regulated effort items…
Descriptors: Metacognition, Electronic Learning, Independent Study, Correlation
Maycock, Keith W.; Keating, J. G. – Journal of Computer Assisted Learning, 2017
This experimental study investigates the effect on the examination performance of a cohort of first-year undergraduate learners undertaking a Unified Modelling Language (UML) course using an adaptive learning system against a control group of learners undertaking the same UML course through a traditional lecturing environment. The adaptive…
Descriptors: Experimental Groups, Metadata, Computer Assisted Instruction, Undergraduate Students
Abdel Latif, Muhammad M. M. – Journal of Computer Assisted Learning, 2021
The 'research-teaching nexus' means integrating disciplined-based research into course content to develop students' research ability. Though such integration has been investigated in various higher education content areas, no previous CALL teacher education research seems to have addressed it. This study explored how research should be integrated…
Descriptors: Graduate Students, Action Research, Computer Assisted Instruction, Second Language Learning
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
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
Wang, Tzu-Ling; Tseng, Yi-Kuan – Journal of Computer Assisted Learning, 2020
The purpose of this study was to investigate not only the effectiveness of dynamic versus static visualizations on learning star motions but also the influence of students' spatial abilities with these two types of visualizations on their learning. We assigned 155 fifth-grade students to either a dynamic or a static condition. We used a science…
Descriptors: Teaching Methods, Computer Assisted Instruction, Spatial Ability, Science Achievement
Fleming, R.; Stoiber, L. C.; Pfeiffer, H. M.; Kienzler, S. E.; Fleming, R. R.; Pedrick, L. E.; Barth, D. J.; Reddy, D. . – Journal of Computer Assisted Learning, 2016
This study was undertaken to evaluate whether the student success associated with the "U-Pace" instructional approach, which integrates mastery-based learning with proactive instructor support in an online learning environment, would replicate for both economically disadvantaged students and students who are not economically…
Descriptors: Teaching Methods, Mastery Learning, Academic Achievement, Economically Disadvantaged
Cornelisz, Ilja; Klaveren, Chris – Journal of Computer Assisted Learning, 2018
A prerequisite for low-stakes activities to improve learning is to keep students engaged when confronted with challenging material. Comparing a personalized and non-personalized version of computerized practising, this study experimentally evaluates the relationships between student effort and ability across different dimensions of task…
Descriptors: Learner Engagement, Computer Assisted Instruction, Correlation, Summative Evaluation
Yang, X.; Guo, X.; Yu, S. – Journal of Computer Assisted Learning, 2016
This study investigates the quality of course content, behavioural patterns of students and learning performance in teaching of student-generated content (SGC). A total of 49 third-year university students in educational technology participated in this study. By combining the methods of questionnaire, lag sequence analysis and interview, the study…
Descriptors: College Students, Educational Technology, Educational Quality, Course Content
Muller, D. A.; Bewes, J.; Sharma, M. D.; Reimann, P. – Journal of Computer Assisted Learning, 2008
In this study, 364 first-year physics students were randomly assigned to one of four online multimedia treatments on Newton's First and Second Laws of Motion: (1) the "Exposition", a concise lecture-style presentation; (2) the "Extended Exposition", the Exposition with additional interesting information; (3) the "Refutation", the Exposition with…
Descriptors: Prior Learning, Mechanics (Physics), Effect Size, Misconceptions
Gerber, M.; Grund, S.; Grote, G. – Journal of Computer Assisted Learning, 2008
The aim of this study was to investigate the nature of tutor and student online communication and collaboration activities in a blended learning course. The hypothesis that these activities are related to student learning performance (exam results) was tested based on the number of messages posted, as well as the nature of these messages (type of…
Descriptors: Cooperation, Course Content, Instructional Effectiveness, Hypothesis Testing
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