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Paul Kim; Wilson Wang; Curtis J. Bonk – Journal of Educational Computing Research, 2025
Following the launch of the generative AI Web application, Ask.SMILE, designed to evaluate the cognitive levels of questions asked, 2559 educators generated 25,973 question-feedback sets over a three-month period, with an average of over 10 questions per participant. Analyses revealed a significant improvement in question quality from initial…
Descriptors: Artificial Intelligence, Technology Uses in Education, Test Wiseness, Test Items
Noah L. Schroeder; Robert O. Davis; Eunbyul Yang – Journal of Educational Computing Research, 2025
Pedagogical agents are virtual characters that instructional designers include in learning environments to help students learn. Research in the area has flourished for thirty years, yet there are still critical questions about the efficacy of pedagogical agents for influencing learning and affect. As such, we conducted an umbrella review to…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Intelligent Tutoring Systems
Shan Li; Zuer Liu; Mengling Qiu; Jiaxin Huang; Juan Zheng; Guozhu Ding – Journal of Educational Computing Research, 2024
Educational robots represent a unique form of teacher presence. Exploring how the communication features of robot instructors affect student learning experience could contribute to the advancement of educational robots. This study examined the impact of speech rate, voice type, and emotional tone of robots on students' cognitive load, attitudes…
Descriptors: Educational Technology, Technology Uses in Education, Cognitive Processes, Difficulty Level
Xiaodong Wei; Lei Wang; Lap-Kei Lee; Ruixue Liu – Journal of Educational Computing Research, 2025
Notwithstanding the growing advantages of incorporating Augmented Reality (AR) in science education, the pedagogical use of AR combined with Pedagogical Agents (PAs) remains underexplored. Additionally, few studies have examined the integration of Generative Artificial Intelligence (GAI) into science education to create GAI-enhanced PAs (GPAs)…
Descriptors: Artificial Intelligence, Technology Uses in Education, Models, Science Education
Hong Li Yang; Jing Jing Xiang – Journal of Educational Computing Research, 2024
Though the relationship between mobile learning and academic achievement has increasingly gained attention by some researchers, the meta-analysis studies have yet to definitively conclude the overall impact of mobile learning on academic achievement. In order to synthesize the findings of 22 meta-analyses that are directly pertinent to the…
Descriptors: Academic Achievement, Meta Analysis, Technology Uses in Education, Electronic Learning
Gila Apelboim-Dushnitzky; Oren Tova – Journal of Educational Computing Research, 2025
This study tested the potential of a technological intervention procedure for promoting letter-naming and initial-phoneme detection skills among preschoolers at risk for Specific Learning Disorder. The study rational is based on evidence for paired associated learning of visual-verbal stimuli, integrated with the use of a tangible technological…
Descriptors: Preschool Children, Dyslexia, At Risk Students, Alphabets
Xiaojing Weng; Huiyan Ye; Yun Dai; Oi-lam Ng – Journal of Educational Computing Research, 2024
A growing body of research is focusing on integrating artificial intelligence (AI) and computational thinking (CT) to enhance student learning outcomes. Many researchers have designed instructional activities to achieve various learning goals within this field. Despite the prevalence of studies focusing on instructional design and student learning…
Descriptors: Computation, Thinking Skills, Artificial Intelligence, Technology Integration
Chih-Chung Chien; Yen-Ting Ho; Huei-Tse Hou – Journal of Educational Computing Research, 2024
In the post-pandemic era, distance education and training modes without space constraints are gradually becoming a new trend in training. Game-based training combined with situational simulations is a potential approach. This study used a simulation company scenario and a decision-making analysis task of promotion assessment as the game context,…
Descriptors: Decision Making, Vignettes, Interactive Video, Scaffolding (Teaching Technique)
Fangzheng Zhao; Richard E. Mayer; Nicoletta Adamo-Villani; Christos Mousas; Minsoo Choi; Luchcha Lam; Magzhan Mukanova; Klay Hauser – Journal of Educational Computing Research, 2024
This study examined how well people can recognize and relate to animated pedagogical agents of varying ethnicities/races and genders. For both Study 1 (realistic-style agents) and Study 2 (cartoon-style agents), participants viewed brief video clips of virtual agents of varying racial/ethnic categories and gender types and then identified their…
Descriptors: Race, Sex, Ethnicity, Animation
Alexandros Tsichouridis; Stelios Xinogalos; Apostolos Ampatzoglou – Journal of Educational Computing Research, 2024
Teaching and learning programming, and especially Object-Oriented Programming (OOP), is a complicated and challenging task. Students have to comprehend various OOP concepts and utilize them for designing object-oriented programs. Various types of educational programming environments, such as microworlds and educational games, have been devised for…
Descriptors: Programming, Computer Uses in Education, Educational Resources, Computer Science Education
Lihui Sun; Liang Zhou – Journal of Educational Computing Research, 2024
The use of generative artificial intelligence (Gen-AI) to assist college students in their studies has become a trend. However, there is no academic consensus on whether Gen-AI can enhance the academic achievement of college students. Using a meta-analytic approach, this study aims to investigate the effectiveness of Gen-AI in improving the…
Descriptors: Artificial Intelligence, Academic Achievement, College Students, Technology Uses in Education
Gamze Türkmen – Journal of Educational Computing Research, 2025
Explainable Artificial Intelligence (XAI) refers to systems that make AI models more transparent, helping users understand how outputs are generated. XAI algorithms are considered valuable in educational research, supporting outcomes like student success, trust, and motivation. Their potential to enhance transparency and reliability in online…
Descriptors: Artificial Intelligence, Natural Language Processing, Trust (Psychology), Electronic Learning
Nazmul Hasan; Manisha J. Nene – Journal of Educational Computing Research, 2024
Children with Autism face several significant challenges, including deficits in both verbal and nonverbal communication, difficulties with concentration, limited interest in their surroundings, non-responsiveness, and struggles with adapting to new situations. It is imperative to consider and address these challenges when implementing…
Descriptors: Autism Spectrum Disorders, Children, Skill Development, Caregiver Role
Lu Yang; Rui Li – Journal of Educational Computing Research, 2024
While studies of contextualized game-based language learning (CGBLL) have to date gained a growing scholarly interest, there is still a lack of systematic review synthesizing its research trends regarding theoretical foundations, learning contexts, research foci and findings. To address the gap, this study collected data from the Web of Science…
Descriptors: Game Based Learning, Second Language Learning, Teaching Methods, Language Acquisition
Alberto Cannavò; Federico De Lorenzis; Filippo Gabriele Pratticò; Lorenzo Galante; Fabrizio Lamberti – Journal of Educational Computing Research, 2024
Today, immersive technologies like Virtual Reality (VR) are regarded as disruptive tools in many domains, including education. While the body of literature in the field is growing, studies that present contrasting findings are not uncommon. In fact, although there is evidence of the benefits brought by VR in the educational processes, in some…
Descriptors: Computer Simulation, Technology Uses in Education, Science Education, Laboratory Experiments