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Teresa M. Ober; Ying Cheng; Matthew F. Carter; Cheng Liu – Journal of Computer Assisted Learning, 2024
Background: Students' tendencies to seek feedback are associated with improved learning. Yet, how soon this association becomes robust enough to make predictions about learning is not fully understood. Such knowledge has strong implications for early identification of students at-risk for underachievement via digital learning platforms.…
Descriptors: Academic Achievement, Feedback (Response), Student Behavior, At Risk Students
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Katharina Alexandra Whalen; Alexander Renkl; Alexander Eitel; Inga Glogger-Frey – Journal of Computer Assisted Learning, 2024
Background: Students often show unfavourable attribution: they attribute poor school performance to stable factors such as lack of ability and good school performance to variable factors such as effort. However, attribution can be influenced by individualized digital re-attributional feedback leading to positive motivational effects and higher…
Descriptors: Feedback (Response), Computer Mediated Communication, Secondary School Mathematics, Student Motivation
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Chak-Him Fung; Kin-Keung Poon; Michael Besser; Ming-Chung Fung – Journal of Computer Assisted Learning, 2024
Background Study: The effects of the flipped classroom (FC) on students' academic performance remain ambiguous, and the use of pre-class videos may be one of the main factors hindering students' progress. A software package called GeoGebra has been proposed as a substitute for pre-class videos to aid students' learning. Objective: This study…
Descriptors: Flipped Classroom, Computer Software, Academic Achievement, Geometry
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Deng, Wenbo; Lei, Weina; Guo, Xipei; Li, Xinyi; Ge, Wenshuang; Hu, Weiping – Journal of Computer Assisted Learning, 2022
Background: Since the outbreak of COVID-19, online courses have been extensively used from K-12 to higher education. Online learning engagement, an important factor in online learning success, is currently at a low level in high school. Meanwhile, the research on the factors that influence high school students' online learning engagement is still…
Descriptors: Online Courses, COVID-19, Pandemics, Kindergarten
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Zhan, Zehui; He, Guoqing; Li, Tingting; He, Luyao; Xiang, Siyu – Journal of Computer Assisted Learning, 2022
Background: Group size is one of the important factors that affect collaborative learning, however, there is no consensus in the literature on how many students should the groups be composed of during the problem-solving process. Objectives: This study investigated the effect of group size in a K-12 introductory Artificial Intelligence course by…
Descriptors: Cognitive Ability, High School Students, Cooperative Learning, Artificial Intelligence
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Çinar, Murat; Tüzün, Hakan – Journal of Computer Assisted Learning, 2021
This study compares the effects of object-oriented and robot programming activities on programming achievement, abstraction, problem solving, and motivation. In the study, two consecutive experimental cases were conducted to examine the consistency of findings. The research sample comprises 81 tenth-grade students undergoing vocational secondary…
Descriptors: Vocational High Schools, High School Students, Grade 10, Robotics
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Yang, Yuqin – Journal of Computer Assisted Learning, 2019
This study aimed to examine the role and process of reflective assessment supported by the Knowledge Connections Analyzer in helping low academic achievers to develop epistemic agency in knowledge building. The participants were 33 ninth-grade low achievers from a visual arts course in Hong Kong. A comparison class of 33 students, taught by the…
Descriptors: Reflection, Low Achievement, Academic Achievement, Epistemology
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Nikou, S. A.; Economides, A. A. – Journal of Computer Assisted Learning, 2018
Mobile-based micro-learning has gained a lot of attention lately, especially for work-based and corporate training. It combines features of mobile learning and micro-learning to deliver small learning units and short-term learning activities. The current study uses the lens of the Self-Determination Theory of motivation and proposes a series of…
Descriptors: High School Students, Learning Motivation, Personal Autonomy, Psychological Needs
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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
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Ellis, R. A.; Goodyear, P.; Bliuc, A.-M.; Ellis, M. – Journal of Computer Assisted Learning, 2011
One of the challenges that school educators face today is the need to integrate learning technologies into the learning experience in a meaningful and sustainable way. The current research focuses on how students' experience learning through new technologies in high schools across New South Wales, Australia, specifically when they learn by…
Descriptors: High Schools, Foreign Countries, Learning Experience, Internet