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Zirou Lin; Hanbing Yan; Li Zhao – Journal of Computer Assisted Learning, 2024
Background: Peer assessment has played an important role in large-scale online learning, as it helps promote the effectiveness of learners' online learning. However, with the emergence of numerical grades and textual feedback generated by peers, it is necessary to detect the reliability of the large amount of peer assessment data, and then develop…
Descriptors: Peer Evaluation, Automation, Grading, Models
Seyedahmad Rahimi; Russell Almond; Andrea Ramírez-Salgado; Christine Wusylko; Lauren Weisberg; Yukyeong Song; Jie Lu; Ted Myers; Bowen Wang; Xiaomaon Wang; Marc Francois; Jennifer Moses; Eric Wright – Journal of Computer Assisted Learning, 2024
Background: Stealth assessment is a learning analytics method, which leverages the collection and analysis of learners' interaction data to make real-time inferences about their learning. Employed in digital learning environments, stealth assessment helps researchers, educators, and teachers evaluate learners' competencies and customize the…
Descriptors: Competence, Models, Research Methodology, Research Design
Hui-Tzu Hsu; Chih-Cheng Lin – Journal of Computer Assisted Learning, 2024
Background: Behavioural intention (BI) has been predicted using other variables by adopting the technology acceptance model (TAM). However, few studies have examined whether BI can predict learning performance. Objectives: The present study used an extended TAM to investigate whether students' BI is a predictor of their listening learning…
Descriptors: Intention, Vocabulary Development, Handheld Devices, College Students
Karnam, DurgaPrasad; Agrawal, Harshit; Parte, Pranay; Ranjan, Saurabh; Borar, Priyanka; Kurup, Prasanna Prakash; Joel, Amose Jebin; Srinivasan, Pattamadai Sankaran; Suryawanshi, Uddhav; Sule, Aniket; Chandrasekharan, Sanjay – Journal of Computer Assisted Learning, 2021
Educational technology designs in developing countries mostly focus on making knowledge resources widely available, through MOOCs, repositories and computer-based tutoring. The use of digital media for cognitive augmentation, particularly interactive designs that help learners understand modelling topics in STEM, is underexplored. We report a…
Descriptors: Educational Technology, Foreign Countries, Developing Nations, Models
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
Marshall, S. – Journal of Computer Assisted Learning, 2012
The quality of e-learning can be defined in many different ways, reflecting different stakeholders and the complexity of the systems and processes used in higher education. These different conceptions of quality can be mutually contradictory and, while politically significant, may also be beyond the direct control or influence of institutional…
Descriptors: Electronic Learning, Higher Education, Educational Improvement, Program Improvement
Ossiannilsson, E.; Landgren, L. – Journal of Computer Assisted Learning, 2012
Between 2008 and 2010, Lund University took part in three international benchmarking projects, "E-xcellence+," the "eLearning Benchmarking Exercise 2009," and the "First Dual-Mode Distance Learning Benchmarking Club." A comparison of these models revealed a rather high level of correspondence. From this finding and…
Descriptors: Foreign Countries, Electronic Learning, Distance Education, Global Approach
Sha, L.; Looi, C.-K.; Chen, W.; Zhang, B. H. – Journal of Computer Assisted Learning, 2012
Cognizant of the research gap in the theorization of mobile learning, this paper conceptually explores how the theories and methodology of self-regulated learning (SRL), an active area in contemporary educational psychology, are inherently suited to address the issues originating from the defining characteristics of mobile learning: enabling…
Descriptors: Foreign Countries, Educational Technology, Electronic Learning, Elementary School Science
Bremer, C. – Journal of Computer Assisted Learning, 2012
The paper describes the procedure model AKUE, which aims at the improvement and assurance of quality and cost efficiency in the context of the introduction of e-learning and the development of digital learning material. AKUE divides the whole planning and implementation process into four different phases: analysis, conception, implementation, and…
Descriptors: Electronic Learning, Feedback (Response), Cost Effectiveness, Efficiency
Van Rosmalen, P.; Sloep, P. B.; Brouns, F.; Kester, L.; Berlanga, A.; Bitter, M.; Koper, R. – Journal of Computer Assisted Learning, 2008
Tutors have only limited time to support students. In this paper, we discuss a model that addresses the question of how to help students answer content-related questions. A small group of students is created, which consists of the student who asked the question and peers who should be able to answer it. Criteria used to compose the group are the…
Descriptors: Computer Assisted Instruction, Electronic Learning, Educational Technology, Internet