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Jiahong Su; Weipeng Yang – Journal of Computer Assisted Learning, 2024
Background: The number of artificial intelligence (AI) literacy studies in K-12 education has recently increased, with most research focusing on primary and secondary education contexts. Little research focuses on AI literacy programs in early childhood education. Objectives: The aim of this mixed-methods study is to examine the feasibility of an…
Descriptors: Foreign Countries, Artificial Intelligence, Kindergarten, Young Children
Eriksson, Miikka; Kärkkäinen, Sirpa; Tahvanainen, Ville – Journal of Computer Assisted Learning, 2023
Background: Technologies may successfully be used to mediate, aid, and diversify learning, but several studies indicate that technologies cannot substitute outdoor learning and its experiential nature. To halt human-induced biodiversity loss, teachers should acquire a deep understanding of the principles of ecology, including the challenging…
Descriptors: Computer Assisted Instruction, Outdoor Education, Student Teachers, Biodiversity
Mugur V. Geana; Dan Cernusca; Pan Liu – Journal of Computer Assisted Learning, 2024
Background: Education is, after gaming, the second largest sector embracing augmented reality (AR) at an accelerated pace, yet studies on AR's potential as an efficient learning environment had mixed results. Objectives: This study's primary objective is to test students' interaction with graphical 3D elements in AR and its impact on information…
Descriptors: Learner Engagement, Computer Simulation, Technology Uses in Education, Information Dissemination
Ting-Ting Wu; Hsin-Yu Lee; Pei-Hua Chen; Chia-Ju Lin; Yueh-Min Huang – Journal of Computer Assisted Learning, 2025
Background: Science, Technology, Engineering, and Mathematics (STEM) education in Asian universities struggles to integrate Knowledge, Skills, and Attitudes (KSA) due to large classes and student reluctance. While ChatGPT offers solutions, its conventional use may hinder independent critical thinking. Objectives: This study introduces PA-GPT,…
Descriptors: Peer Evaluation, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Al Shlowiy, Ahmed; Al-Hoorie, Ali H.; Alharbi, Mohammed – Journal of Computer Assisted Learning, 2021
Emergency remote teaching refers to the unanticipated, involuntary shift to a virtual learning environment due to, for example, a natural disaster or political instability. The sudden nature of this transition creates additional challenges to effective learning. In this article, we investigate one such challenge, namely the potential for…
Descriptors: Emergency Programs, Distance Education, Electronic Learning, Integrated Learning Systems
Qian Huangfu; Qianmei He; Sisi Luo; Weilin Huang; Yahua Yang – Journal of Computer Assisted Learning, 2025
Background: Video lectures which include the teachers' presence have become increasingly common. As teacher enthusiasm is a nonverbal cue in video lectures, more and more studies are focusing on this topic. However, little research has been carried out on the interactions between teacher enthusiasm and prior knowledge when learning from video…
Descriptors: Chemistry, Science Instruction, Teacher Student Relationship, Teacher Response
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
Zielinski, K.; Czekierda, L.; Malawski, F.; Stras, R.; Zielinski, S. – Journal of Computer Assisted Learning, 2017
In this paper, we address the problem of an educational gap existing between high schools and universities: many students consider their choice of field of study as inappropriate, mostly due to insufficient information regarding the discipline and the university educational process. To solve this problem, we define an innovative, information and…
Descriptors: High School Students, College Students, High Schools, Colleges
Furió, D.; Juan, M.-C.; Seguí, I.; Vivó, R. – Journal of Computer Assisted Learning, 2015
Different methods can be used for learning, and they can be compared in several aspects, especially those related to learning outcomes. In this paper, we present a study in order to compare the learning effectiveness and satisfaction of children using an iPhone game for learning the water cycle vs. the traditional classroom lesson. The iPhone game…
Descriptors: Telecommunications, Technology Uses in Education, Teaching Methods, Handheld Devices
Golanics, J. D.; Nussbaum, E. M. – Journal of Computer Assisted Learning, 2008
Computer-supported collaborative argumentation can improve understanding and problem-solving skills. This study uses WebCT to explore the improvement of argumentation in asynchronous, web-based discussions through goal instructions, which are statements at the end of a discussion prompt indicating what students should achieve. In a previous study…
Descriptors: Persuasive Discourse, Prior Learning, Computer Mediated Communication, Undergraduate Students
Mitchell, Timothy J. F.; Chen, Sherry Y.; Macredie, Robert D. – Journal of Computer Assisted Learning, 2005
Prior knowledge is often argued to be an important determinant in hypermedia learning, and may be thought of as including two important elements: domain expertise and system expertise. However, there has been a lack of research considering these issues together. In an attempt to address this shortcoming, this paper presents a study that examines…
Descriptors: Prior Learning, Internet, Hypermedia, Courseware
Palaigeorgiou, G. E.; Siozos, P. D.; Konstantakis, N. I.; Tsoukalas, I. A. – Journal of Computer Assisted Learning, 2005
The successful integration of computers in educational environments depends, to a great extent, on students' attitudes towards them. Widely used computer attitude scales (CASs) focus on the beliefs of typical computer users and do not reveal the more refined attitudes of groups that use computers extensively and develop unique relations with them.…
Descriptors: Computer Uses in Education, Computer Science, Classroom Techniques, Computer Attitudes

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