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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
Dominic Lohr; Hieke Keuning; Natalie Kiesler – Journal of Computer Assisted Learning, 2025
Background: Feedback as one of the most influential factors for learning has been subject to a great body of research. It plays a key role in the development of educational technology systems and is traditionally rooted in deterministic feedback defined by experts and their experience. However, with the rise of generative AI and especially large…
Descriptors: College Students, Programming, Artificial Intelligence, Feedback (Response)
Schüler, Anne; Merkt, Martin – Journal of Computer Assisted Learning, 2021
In two experiments, the multimedia contradiction paradigm was used to investigate whether learners map information conveyed through the audio and the picture track of a video. In Experiment 1 (N = 85), the information conveyed through the audio track and the picture track was always consistent (control group) or was made inconsistent by changing…
Descriptors: Video Technology, Cognitive Processes, Multimedia Materials, Eye Movements
Tang, Yuk Ming; Ng, George Wing Yiu; Chia, Nam Hung; So, Eric Hang Kwong; Wu, Chun Ho; Ip, Wai Hung – Journal of Computer Assisted Learning, 2021
Nowadays, patients' safety is the top priority for medical services around the world. However, it is believed that many of the adverse events in hospitals are preventable. Type and screen (T&S) procedures require intense practical training by each medical practitioner in each hospital. This study applied an interactive Virtual Reality (VR)…
Descriptors: Computer Simulation, Medical Education, Readiness, Physicians
Héctor J. Pijeira-Díaz; Shashank Subramanya; Janneke van de Pol; Anique de Bruin – Journal of Computer Assisted Learning, 2024
Background: When learning causal relations, completing causal diagrams enhances students' comprehension judgements to some extent. To potentially boost this effect, advances in natural language processing (NLP) enable real-time formative feedback based on the automated assessment of students' diagrams, which can involve the correctness of both the…
Descriptors: Learning Analytics, Automation, Student Evaluation, Causal Models
Jaramillo-Morillo, Daniel; Ruipérez-Valiente, José A.; Burbano Astaiza, Claudia Patricia; Solarte, Mario; Ramirez-Gonzalez, Gustavo; Alexandron, Giora – Journal of Computer Assisted Learning, 2022
Background: Small private online courses (SPOCs) are one of the strategies to introduce the massive open online courses (MOOCs) within the university environment and to have these courses validates for academic credit. However, numerous researchers have highlighted that academic dishonesty is greatly facilitated by the online context in which…
Descriptors: Learning Analytics, Cheating, Integrated Learning Systems, Intervention
Juliana do Amaral; Ladislao Salmerón; Davi Alves Oliveira – Journal of Computer Assisted Learning, 2025
Background: Misconceptions are unjustified beliefs about a topic. Nonetheless, they are pervasive among educational practitioners. Although the internet can be a powerful tool to learn and debunk misconceptions, their use requires competencies like navigating through search engine results pages (SERPs), evaluating the reliability of content, and…
Descriptors: Eye Movements, Second Language Learning, Second Language Instruction, Computer Assisted Instruction
Brand-Gruwel, S.; Kammerer, Y.; van Meeuwen, L.; van Gog, T. – Journal of Computer Assisted Learning, 2017
Nowadays, almost everyone uses the World Wide Web (WWW) to search for information of any kind. In education, students frequently use the WWW for selecting information to accomplish assignments such as writing an essay or preparing a presentation. The evaluation of sources and information is an important sub-skill in this process. But many students…
Descriptors: Online Searching, Internet, Novices, Expertise
Uzunboylu, H.; Ozdamli, F. – Journal of Computer Assisted Learning, 2011
Successful integration of mobile learning (m-learning) technologies in education primarily demands that teachers' perception of such technologies should be determined. Therefore, the perceptions of teachers are of great significance. There is no available instrument that assesses teachers' perceptions of m-learning. Our research provided the first…
Descriptors: Electronic Learning, Feedback (Response), Test Validity, Measures (Individuals)
Arslanyilmaz, A. – Journal of Computer Assisted Learning, 2013
The purpose of this article is twofold: to describe a prototype for a computer-assisted task-based language instruction (CATBI) tool designed and developed for Turkish as a Foreign Language, and to report on the effectiveness of the CATBI tool. More specifically, this work discusses an experimental study that examined the role of teaching approach…
Descriptors: Grammar, Computer Assisted Instruction, Second Language Instruction, Second Language Learning
Wang, Y.; Harrington, M.; White, P. – Journal of Computer Assisted Learning, 2012
This paper introduces "CTutor", an automated writing evaluation (AWE) tool for detecting breakdowns in local coherence and reports on a study that applies it to the writing of Chinese L2 English learners. The program is based on Centering theory (CT), a theory of local coherence and salience. The principles of CT are first introduced and…
Descriptors: Foreign Countries, Educational Technology, Expertise, Feedback (Response)
Jia, J.; Chen, Y.; Ding, Z.; Bai, Y.; Yang, B.; Li, M.; Qi, J. – Journal of Computer Assisted Learning, 2013
This research conducted quasi-experiments in four middle schools to evaluate the long-term effects of an intelligent web-based English instruction system, Computer Simulation in Educational Communication (CSIEC), on students' academic attainment. The analysis of regular examination scores and vocabulary test validates the positive impact of CSIEC,…
Descriptors: Web Based Instruction, English Instruction, Academic Achievement, Computer Simulation
Tsai, P.-S.; Tsai, C.-C.; Hwang, G.-J. – Journal of Computer Assisted Learning, 2012
This study developed a survey to explore students' preferences in constructivist context-aware ubiquitous learning environments. A constructivist context-aware ubiquitous learning (u-learning) environment survey (CULES) was developed, consisting of eight scales, including ease of use, continuity, relevance, adaptive content, multiple sources,…
Descriptors: Constructivism (Learning), Student Attitudes, Learning Activities, Foreign Countries
Kim, S. W.; Lee, M. G. – Journal of Computer Assisted Learning, 2008
This study aims to validate a model for evaluating learning management systems (LMS) used in e-learning fields. A survey of 163 e-learning experts, regarding 81 validation items developed through literature review, was used to ascertain the importance of the criteria. A concise list of explanatory constructs, including two principle factors, was…
Descriptors: Management Systems, Reliability, Factor Structure, Factor Analysis
Villaverde, J. E.; Godoy, D.; Amandi, A. – Journal of Computer Assisted Learning, 2006
People have unique ways of learning, which may greatly affect the learning process and, therefore, its outcome. In order to be effective, e-learning systems should be capable of adapting the content of courses to the individual characteristics of students. In this regard, some educational systems have proposed the use of questionnaires for…
Descriptors: Cognitive Style, Computer Assisted Instruction, Web Based Instruction, Student Characteristics

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