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Lee, Hsin-Yu; Cheng, Yu-Ping; Wang, Wei-Sheng; Lin, Chia-Ju; Huang, Yueh-Min – Journal of Educational Computing Research, 2023
Given the inadequacy of assessed outcomes (e.g., final exam) and the importance of evaluating the learning process in STEM education, we use deep learning to develop the STEM learning behavior analysis system (SLBAS) to assess the behavior of learners in STEM education. We map learner behavior to the ICAP (interactive, constructive, active,…
Descriptors: Learning Processes, Instructional Effectiveness, STEM Education, Student Behavior
Fang, Ning; Guo, Yongqing – Journal of Educational Computing Research, 2023
Computer simulation and animation (CSA) is educational technology in which computer programs are employed to simulate and animate real-world physical phenomena and processes. CSA has attracted growing attention and received an increasing number of applications in the international science, technology, engineering, and mathematics education…
Descriptors: Educational Improvement, Learning Processes, Educational Technology, Computer Software
Wang, Zhen; Cao, Yang; Gong, Shaoying – Journal of Educational Computing Research, 2023
Although learner characteristics have been identified as important moderator variables for feedback effectiveness, the question of why learners benefit differently from feedback has only received limited attention. In this study, we investigated: (1) whether learners' dominant goal orientation moderated the effects of computer-based elaborated…
Descriptors: Goal Orientation, Feedback (Response), Cues, Student Characteristics
Pando Cerra, Pablo; Fernández Álvarez, Humberto; Busto Parra, Bernardo; Iglesias Cordera, Paula – Journal of Educational Computing Research, 2022
Game-Based Learning (GBL) is increasingly widespread as a learning technique in the engineering studies. However, this innovative methodology may be difficult to incorporate in some subjects due to their complex contents. This paper aims at combining traditional learning methodologies with game mechanics by using an ad-hoc gaming web environment…
Descriptors: Academic Achievement, Game Based Learning, Information Technology, Teaching Methods
Zhong, Baichang; Li, Tingting – Journal of Educational Computing Research, 2020
In Robotics Education (RE), the hands-on experience with troubleshooting problems is seen as a good catalyst to enhance the participants' problem-solving skills. Based on the pedagogical technique of collaborative learning and pair programming, pair learning is an emerging and potential method in RE, which means that students collaborate in pairs…
Descriptors: Robotics, Troubleshooting, Problem Solving, Teaching Methods
Teng, Chin-Hung; Chen, Jr-Yi; Chen, Zhi-Hong – Journal of Educational Computing Research, 2018
Although the learning of programming language is critical in science and technology education, it might be difficult for some students, especially novices. One possible reason might be the fact that programming language, especially for three-dimensional (3D) applications, is too complex and abstract for these students to understand. Programming…
Descriptors: Computer Simulation, Simulated Environment, Programming, Computer Science Education
Karaoglan Yilmaz, Fatma Gizem; Olpak, Yusuf Ziya; Yilmaz, Ramazan – Journal of Educational Computing Research, 2018
Flipped Classroom (FC) has become an increasingly popular model in many disciplines in today's educational system. In order for the FC model to be effective, it is important for the student to have self-regulation skills. It is especially important that students have advanced self-regulatory skills so that the online learning process of the FC…
Descriptors: Blended Learning, Teaching Methods, Metacognition, College Students
Chang, Chih-Kai – Journal of Educational Computing Research, 2014
Scratch, a visual programming language, was used in many studies in computer science education. Most of them reported positive results by integrating Scratch into K-12 computer courses. However, the object-oriented concept, one of the important computational thinking skills, is not represented well in Scratch. Alice, another visual programming…
Descriptors: Foreign Countries, College Freshmen, Information Technology, Computer Science Education
Kluge, Annette – Journal of Educational Computing Research, 2007
This article empirically supports the thesis that there is no clear and unequivocal argument in favor of simulations and experiential learning. Instead the effectiveness of simulation-based learning methods depends strongly on the target group's characteristics. Two methods of supporting experiential learning are compared in two different complex…
Descriptors: Experiential Learning, Teaching Methods, Comparative Analysis, Computer Simulation

Gibbons, Pamela – Journal of Educational Computing Research, 1995
Describes a study that investigated individual differences in the construction of mental models of recursion in LOGO programming. The learning process was investigated from the perspective of Norman's mental models theory and employed diSessa's ontology regarding distributed, functional, and surrogate mental models, and the Luria model of brain…
Descriptors: Case Studies, Comparative Analysis, Higher Education, Individual Differences

Jehng, Jihn-Chang J. – Journal of Educational Computing Research, 1997
Discussion of peer-based collaborative learning focuses on two related studies: a micro-structure comparative analysis of students' psycho-social behaviors in computer-based collaborative learning experiments conducted in face-to-face and distributed learning environments; and an examination of cognitive effects of peer-based collaborative…
Descriptors: Comparative Analysis, Computer Assisted Instruction, Cooperative Learning, Educational Environment

Lehrer, Richard; Randle, Lynn – Journal of Educational Computing Research, 1987
An experimental study compared the instructional effectiveness of Logo programming, commercially available software designed to aid composition and problem solving, and traditional teaching methods for low socioeconomic status first-grade students. Both software environments enhanced problem solving performance for a novel task, but Logo was most…
Descriptors: Analysis of Covariance, Comparative Analysis, Computer Assisted Instruction, Conventional Instruction

Hooper, Simon; Hannafin, Michael J. – Journal of Educational Computing Research, 1988
Describes study that compared the achievement of high and low ability eighth-grade students working cooperatively during computer-based instruction. Homogeneous and heterogeneous grouping based on ability are explained, posttest results are analyzed, and implications for instructional design are discussed. (23 references) (Author/LRW)
Descriptors: Academic Achievement, Analysis of Variance, Aptitude Treatment Interaction, Comparative Analysis
Hypertext and the Study Strategies of Preservice Teachers: Issues in Instructional Hypertext Design.

Kelly, Anthony E.; O'Donnell, Angela – Journal of Educational Computing Research, 1994
Describes research that investigated the study strategies of preservice teachers through the use of a hypertext program that monitored lecture note review strategies of individuals and dyads. Highlights include learning from lectures; the use of pretest information; and differences in dyad and individual review strategies. (Contains 28…
Descriptors: Comparative Analysis, Computer Assisted Instruction, Cooperative Learning, Higher Education

Johnson-Gentile, Kay; And Others – Journal of Educational Computing Research, 1994
Describes a study that investigated the effects of computer and noncomputer environments on fifth- and sixth-grade students' learning of geometric motions. The use of LOGO and the treatment of experimental and control groups are discussed, and the results of immediate and delayed posttests are reviewed. (38 references) (LRW)
Descriptors: Analysis of Variance, Comparative Analysis, Computer Assisted Instruction, Elementary Education