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Schroeder, Noah L.; Chiou, Erin K.; Siegle, Robert F.; Craig, Scotty D. – Journal of Educational Computing Research, 2023
Virtual humans are on-screen characters that are often embedded in learning technologies to deliver educational content. Little research has investigated how virtual humans can be used to correct common misconceptions. In this study, we explored how different types of narrative structures, refutation text and expository text, influence perceptions…
Descriptors: Robotics, Computer Simulation, Educational Technology, Error Correction
Yu-Sheng Su; Shuwen Wang; Xiaohong Liu – Journal of Educational Computing Research, 2024
Pair programming (PP) can help improve students' computational thinking (CT), but the trajectory of CT skills and the differences between high-scoring and low-scoring students in PP are unknown and need further exploration. In this study, a total of 32 fifth graders worked on Scratch tasks in 16 pairs. The group discourse of three learning topics…
Descriptors: Epistemology, Network Analysis, Elementary School Students, Computation
Chen-Chung Liu; Wan-Jun Chen; Fang-ying Lo; Chia-Hui Chang; Hung-Ming Lin – Journal of Educational Computing Research, 2024
Reading requires appropriate strategies to spark initial interest and sustain engagement. One promising strategy is the pedagogical approach of learning-by-teaching, transforming learners into active participants. Integrating this approach into digitalized and individualized reading contexts has the potential to foster the development of young…
Descriptors: Reading Interests, Active Learning, Intelligent Tutoring Systems, Artificial Intelligence
Gawon Yun; Kewman M. Lee; Hailey Hyunjin Choi – Journal of Educational Computing Research, 2025
Scholarly interest in artificial intelligence (AI) has surged as researchers delve into its transformative impact on various aspects of our lives. AI poses both benefits and challenges, particularly in the context of educators' endeavors to comprehend the intricacies of students' learning processes. Although the use of AI to enhance and assist…
Descriptors: Student Empowerment, Bibliometrics, Artificial Intelligence, Computer Software
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
Dalvi-Esfahani, Mohammad; Wai Leong, Lam; Ibrahim, Othman; Nilashi, Mehrbakhsh – Journal of Educational Computing Research, 2020
In the literature, there is a scarcity of studies investigating the factors influencing the deployment of mobile Web 2.0 (MW2.0) as pedagogical tools in higher education. The purpose of this study is to investigate the adoption of mobile Web 2.0 learning (MW2.0L) by students and further to explore their perceived learning. Accordingly, a research…
Descriptors: Student Attitudes, Web 2.0 Technologies, Telecommunications, Handheld Devices
Azzeddine Boudouaia; Samia Mouas; Bochra Kouider – Journal of Educational Computing Research, 2024
The field of computer-assisted language learning has recently brought about a notable change in English as a Foreign Language (EFL) writing. Starting from October 2022, students across different academic fields have increasingly depended on ChatGPT-4 as a helpful resource for addressing particular challenges in EFL writing. This study aimed to…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Teaching Methods
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
Borracci, Giuliana; Gauthier, Erica; Jennings, Jay; Sale, Kyle; Muldner, Kasia – Journal of Educational Computing Research, 2020
We investigated the impact of assistance on learning and affect during problem-solving activities with a computer tutor we built using the Cognitive Tutor Authoring Tools framework. The tutor delivered its primary form of assistance in the form of worked-out examples. We manipulated the level of assistance the examples in the tutor provided, by…
Descriptors: Intelligent Tutoring Systems, Mathematics Instruction, Mathematics Education, Algebra
Meital Amzalag; Dorin Kadusi; Shimon Peretz – Journal of Educational Computing Research, 2024
Abundant research has tried to understand how games can be designed and used effectively to improve the learning process and to examine the correlations between digital learning games and student motivation, engagement, and knowledge retention. The current study examined the correlation between learning through digital game-based learning (DGBL)…
Descriptors: Learner Engagement, Academic Achievement, Game Based Learning, Electronic Learning
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
Zhang, Zhaoli; Li, Zhenhua; Liu, Hai; Cao, Taihe; Liu, Sannyuya – Journal of Educational Computing Research, 2020
Online learning engagement detection is a fundamental problem in educational information technology. Efficient detection of students' learning situations can provide information to teachers to help them identify students having trouble in real time. To improve the accuracy of learning engagement detection, we have collected two aspects of…
Descriptors: Learner Engagement, Learning Analytics, Nonverbal Communication, Pattern Recognition
Wang, Cheng-Hung; Lin, Hao-Chiang Koong – Journal of Educational Computing Research, 2018
Computers and the Internet are indispensable in modern life. Increasingly useful digital environments and technological developments have reshaped models of knowledge acquisition. Studies on the development of online learning have yielded valuable insights. In the design of online teaching systems that can replicate face-to-face teaching,…
Descriptors: Affective Objectives, Tutoring, Learning Processes, Educational Technology
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
Reigeluth, Charles M.; Aslan, Sinem; Chen, Zengguan; Dutta, Pratima; Huh, Yeol; Lee, Dabae; Lin, Chun-Yi; Lu, Ya-Huei; Min, Mina; Tan, Verily; Watson, Sunnie Lee; Watson, William R. – Journal of Educational Computing Research, 2015
The learner-centered paradigm of instruction differs in such fundamental ways from the teacher-centered paradigm that it requires technology to serve very different functions. In 2006, a research team at Indiana University began to work on identifying those functions and published their results in 2008. Subsequently, the team elaborated and…
Descriptors: Individualized Instruction, Learner Controlled Instruction, Intelligent Tutoring Systems, Interdisciplinary Approach