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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
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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
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Nauryz Kuldanov; Svetlana Balagazova; Kamarsulu Ibrayeva; Aliya Mombek; Zhanbolat Kosherbayev; Nazymgul Bolatkhan – Journal of Educational Computing Research, 2025
The primary aim of this study was to evaluate whether the use of the EmoMusic dataset could enhance first-year students' emotional and musical creativity. A randomized controlled trial was conducted with 128 students. Participants were randomly assigned either to a control group that continued traditional vocal training or to an experimental group…
Descriptors: College Freshmen, Music Education, Creativity, Emotional Response
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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
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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
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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
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Shan Zhang; Priyadharshini Ganapathy Prasad; Noah L. Schroeder – Journal of Educational Computing Research, 2025
Given the ubiquity of artificial intelligence (AI), it is essential to empower students to become creators, designers, and producers of AI technologies, rather than limiting them to the role of informed consumers. To achieve this, learners need to be equipped with AI knowledge and concepts and develop AI literacy. Paradoxically, it is largely…
Descriptors: Artificial Intelligence, Technological Literacy, Teaching Methods, Instructional Materials
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Xiao-na Hu; Jia-hua Zhang; Ling-yue Li; Min Lan; Hong-mei Li – Journal of Educational Computing Research, 2025
Virtual reality-based teaching training helps to overcome the limitations of traditional microteaching, especially in terms of the authenticity and complexity of simulated teaching scenarios. However, most of the existing related studies focus on the enhancement of trainees' teaching skills and relatively neglect the characteristics of teaching…
Descriptors: Computer Simulation, Microteaching, Training, Preservice Teachers
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Lei Shi – Journal of Educational Computing Research, 2025
This study explores the integration of advanced AI technologies, including emotion detection and adaptive learning systems, to enhance second language acquisition among 274 English as a Foreign Language (EFL) learners. Utilizing a pretest-posttest randomized control trial, the research evaluates the effects of AI-enhanced interventions on…
Descriptors: Artificial Intelligence, Technology Uses in Education, Emotional Response, Intelligent Tutoring Systems
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Pin-Hui Li; Hsin-Yu Lee; Chia-Ju Lin; Wei-Sheng Wang; Yueh-Min Huang – Journal of Educational Computing Research, 2025
The core purpose of integrating inquiry-based learning strategies into STEM activities is to create a challenging learning environment that stimulates students' active learning, thereby effectively enhancing their interest in learning, thinking skills, and practical application abilities. To achieve these goals, developing more technology-assisted…
Descriptors: Computer Software, Artificial Intelligence, Synchronous Communication, Active Learning
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Yang-Hsin Fan; Tzung-Jin Lin – Journal of Educational Computing Research, 2025
Extant literature has preliminarily confirmed the potential benefits of holographic projections for educational purposes. Yet, students' experiences of learning by holographic projection have rarely been addressed. The main purpose of this study was therefore to explore students' conceptions of and approaches to learning by holographic projection.…
Descriptors: Foreign Countries, College Students, Astronomy, Lunar Research
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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
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Lin Zhang; Qiang Jiang; Weiyan Xiong; Wei Zhao – Journal of Educational Computing Research, 2025
This study seeks to deepen the understanding of the direct and indirect effects of human-computer dialogic interaction programming activities, facilitated by ChatGPT, on student engagement. Data were collected from 109 Chinese high school students who engaged in programming tasks using either ChatGPT-driven dialogic interaction or traditional pair…
Descriptors: Artificial Intelligence, Computer Software, Computer Science Education, Programming
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Thi-Ngoc-Anh Duong; Hsiu-Ling Chen – Journal of Educational Computing Research, 2025
Writing plays a crucial role in the development of English as a Foreign Language (EFL) learners' language; however, it remains a challenging skill for them to acquire. This study investigated how EFL students at a high school in Northern Vietnam engaged with the Writing Assistant Bot (WAB), an artificial intelligence (AI) chatbot designed to…
Descriptors: Artificial Intelligence, Computer Mediated Communication, Computer Software, Technology Uses in Education
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Minkai Wang; Di Zhang; Jingdong Zhu; Hanjie Gu – Journal of Educational Computing Research, 2025
Scientific knowledge is often abstract and challenging, making it difficult for students to apply these concepts effectively. Digital game-based learning (DGBL) offers an engaging and immersive approach, but the fixed resources and predetermined learning paths in most games limit its ability to adapt to individual learners' needs. Large language…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Games, Academic Achievement
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