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Chen, Binbin; Bao, Lina; Zhang, Rui; Zhang, Jingyu; Liu, Feng; Wang, Shuai; Li, Mingjiang – Journal of Educational Computing Research, 2024
Language learning has increasingly benefited from Computer-Assisted Language Learning (CALL) technologies, especially with Artificial Intelligence involved in recent years. CALL in writing learning acknowledged as the core of language learning is being realized by technologies like Automated Writing Evaluation (AWE), and Automated Essay Scoring…
Descriptors: Computer Assisted Instruction, English (Second Language), Second Language Learning, Writing Instruction
Ruzhang Cheng – Journal of Educational Computing Research, 2025
This research examines the impact of online help-seeking strategies--both adaptive and peer-based--on promoting self-regulated and collaborative learning skills, as well as language learning outcomes, among Chinese EFL learners in computer-assisted language learning (CALL) environments. Employing a mixed-methods approach, the study triangulates…
Descriptors: Help Seeking, English (Second Language), Second Language Learning, Electronic Learning
Qi Wang; Shengquan Yu; Xiaofeng Wang – Journal of Educational Computing Research, 2024
Chinese as a second language (CSL) learning has attracted more attention and supporting learners with adaptive resources becomes difficult. Some online systems recommended pre-designed resources from existing databases while the resources could not match learners' context. Designing resources dynamically according to learners' needs could be a…
Descriptors: Second Language Learning, Chinese, College Students, Online Systems
Norfarizah Mohd Bakhir; SiBo Zhou; Shu Chen; Zhou Tianlong – Journal of Educational Computing Research, 2025
This study investigates the effectiveness of digital games in arts education for learning art knowledge and enhancing art interest. Art knowledge includes the topics of art history, production, esthetics, and art criticism. A quasi-experimental approach was used in this study. A 1-month course on arts education digital games was conducted with 40…
Descriptors: College Students, Art Education, Art Appreciation, Art Criticism
Ika Qutsiati Utami; Wu-Yuin Hwang; Uun Hariyanti – Journal of Educational Computing Research, 2024
Recently, automatic question generation (AQG) has been researched extensively for educational purposes. Existing approaches generally lack relevant information on the authentic context and problem diversity with various difficulty levels, so we proposed a new AQG system for generating contextualized and personalized mathematic word problems (MWP)…
Descriptors: Foreign Countries, Elementary School Mathematics, Elementary School Students, Mathematics Instruction
Angxuan Chen; Jiyou Jia; Yuzhen Li; Lingyu Fu – Journal of Educational Computing Research, 2025
Role-play activities are considered a useful instructional design in enhancing the speaking performance of foreign language learners. However, in the traditional classroom context, learners may not readily have access to interlocutors for role-play activities. In this study, we proposed a designed method that integrated the GenAI agent into…
Descriptors: Foreign Countries, College Students, English (Second Language), Second Language Instruction
Ching-Yi Chang; Intan Setiani; Jie Chi Yang – Journal of Educational Computing Research, 2025
Traditional teaching methods often limit interactive learning, negatively impacting students' motivation and learning achievement. Moreover, fostering collaborative awareness and problem-solving skills is crucial for developing the core competencies of future nursing professionals. To address these challenges, this study proposed an escape…
Descriptors: Educational Games, Puzzles, Computer Assisted Instruction, Electronic Learning
Zhen Wang; Xinrui Pei; Hejie Zhu; Shaoying Gong; Enguo Wang – Journal of Educational Computing Research, 2024
This research aims to expand our understanding of how to facilitate student feedback engagement processes in a computer-based formative assessment environment. In the present research, we designed a new type of elaborated feedback in terms of combining the correct solution and the erroneous solution, and the erroneous solution matched the…
Descriptors: Junior High School Students, Junior High School Teachers, Feedback (Response), Computer Assisted Instruction
Ying-Lien Lin; Wei-Tsong Wang – Journal of Educational Computing Research, 2025
Virtual-reality business simulation games (VRBSGs) have garnered attention in management education. However, investigating the design of efficient VRBSGs from an integrated perspective of social cognitive, self-determination, and cognitive load theories is crucial but under-addressed. Therefore, this study developed a VRBSG learning system to…
Descriptors: Undergraduate Students, Business Education, Computer Simulation, Game Based Learning
The Effects of Three Instructor Participatory Roles on a Small Group's Collaborative Concept Mapping
Ouyang, Fan; Xu, Weiqi – Journal of Educational Computing Research, 2022
Collaborative concept mapping, as one of the widely used computer-supported collaborative learning (CSCL) modes, has been used to foster students' meaning making, problem solving, and knowledge construction. Previous empirical research has used varied instructional scaffoldings and has reported different effects of those scaffoldings on…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Concept Mapping, Problem Solving
Verma, Vipin; Craig, Scotty D.; Levy, Roy; Bansal, Ajay; Amresh, Ashish – Journal of Educational Computing Research, 2022
Detection and responding to a player's affect are important for serious games. A method for this purpose was tested within Chem-o-crypt, a game that teaches chemical equation balancing. The game automatically detects boredom, flow, and frustration using the Affdex SDK from Affectiva. The sensed affective state is then used to adapt the game play…
Descriptors: Psychological Patterns, Game Based Learning, Media Adaptation, Learner Engagement
Lijuan Feng – Journal of Educational Computing Research, 2025
This study investigates the impact of AI-assisted language learning (AIAL) strategies on cognitive load and learning outcomes in the context of language acquisition. Specifically, the study explores three distinct AIAL strategies: personalized feedback and adaptive learning, interactive exercises with speech recognition, and intelligent tutoring…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Fidan, Mustafa; Gencel, Nurgun – Journal of Educational Computing Research, 2022
This study investigated the effects of artificial intelligence (AI)-based chatbot and peer feedback mechanisms integrated into the instructional videos (IVs) as a feedback tool on learning performance and intrinsic motivation of pre-service teachers (PTs) in online learning. The participants were 144 PTs from a university in Turkey. A…
Descriptors: Academic Achievement, Learning Motivation, Video Technology, Comparative Analysis
Wu, Linjing; Li, Jing; Liu, Qingtang; He, Liming; Yang, Weiqing; Zhang, Yaosheng; Cheng, Yun – Journal of Educational Computing Research, 2021
The measurement of knowledge contribution in collaborative knowledge building is an important research topic in computer-supported collaborative learning. The information measures of knowledge contribution based on information theory are proposed in this study, which includes two measures: amount of information and information gain. Discourse data…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Information Theory, Measurement
Ecalle, Jean; Vidalenc, Jean-Luc; Ballet, Carine; Magnan, Annie – Journal of Educational Computing Research, 2020
Fundamental research has indicated that (a) difficulties in reading are linked to a deficit in phonemic awareness and word reading and (b) in French, decoding and word reading are based on the syllable as a functional unit. A software program involving two tasks, namely, phonemic discrimination and grapho-syllabic segmentation, was proposed to…
Descriptors: Computer Software, Reading Difficulties, Phonemic Awareness, Syllables