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Zixi Li; Curtis J. Bonk – Computer Assisted Language Learning, 2025
The research study explored online language learners' self-directed language learning (SDLL) experiences, benefits, motivations, and challenges when employing educational tools like Duolingo in an out of classroom context. To gain insights into SDLL, in-depth and semi-structured interviews with 10 Duolingo users were conducted. Study results…
Descriptors: Computer Software, Independent Study, Second Language Learning, Second Language Instruction
P. Spangenberger; N. Matthes; F. Kapp; L. Kruse; J. L. Plass – Educational Technology Research and Development, 2025
An increasing number of studies has observed that immersive virtual reality (iVR) technology using head-mounted displays (HMDs) can facilitate learning outcomes. However, most studies have been exploratory and were executed in laboratory settings instead of being implemented and orchestrated in authentic teaching settings. Furthermore, iVR design…
Descriptors: Computer Software, Technology Uses in Education, Authentic Learning, Learning Processes
Minseong Kim; Jihye Kim; Tami L. Knotts; Nancy D. Albers – Education and Information Technologies, 2025
Integrating generative artificial intelligence (AI) tools like ChatGPT into education has reshaped academic practices, offering students innovative ways to engage with learning tasks. This study examines the cognitive, emotional, and behavioral factors influencing undergraduate students' engagement with ChatGPT, guided by the technology acceptance…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Factor Analysis
Yumeng Zhu; Caifeng Zhu; Tao Wu; Shulei Wang; Yiyun Zhou; Jingyuan Chen; Fei Wu; Yan Li – Education and Information Technologies, 2025
With the prevalence of Large Language Model-based chatbots, middle school students are increasingly likely to engage with these tools to complete their assignments, raising concerns about its potential to harm students' learning motivation and learning outcomes. However, we know little about its real impact. Through quasi-experiment research with…
Descriptors: Artificial Intelligence, Assignments, Middle School Students, Influence of Technology
Chih-Hung Wu; Ting-Sheng Weng; Chih-Hsing Liu – Educational Technology & Society, 2025
With the growing attention directed towards ChatGPT and its applications in education, this study explored its impact on various variables pertaining to student learning. Specifically, an integrated theoretical framework was used to investigate the factors that influence student problem-solving and critical thinking abilities when using ChatGPT…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Learning Motivation
Jian-Hong Ye; Mengmeng Zhang; Weiguaju Nong; Li Wang; Xiantong Yang – Education and Information Technologies, 2025
ChatGPT, as an example of generative artificial intelligence, possesses high-level conversational and problem-solving capabilities supported by powerful computational models and big data. However, the powerful performance of ChatGPT might enhance learner dependency. Although it has not yet been confirmed, many teachers and scholars are also…
Descriptors: Artificial Intelligence, College Students, Problem Solving, Student Attitudes
Sena Sayici; Selami Aydin – Online Submission, 2025
Learners' achievements, motivation, and emotional states are closely linked to the roles and effectiveness of their teachers, while several challenges in foreign language classrooms hinder teacher efficacy. Artificial intelligence (AI) has the potential to offer substantial solutions by addressing individual student needs, expectations, and…
Descriptors: Artificial Intelligence, Computer Software, English (Second Language), Second Language Learning
Skyler Bruggink; Jeff W. Dawson; Iain W. McKinnell – Technology, Knowledge and Learning, 2025
Gamification is a pedagogical strategy that uses the principles and mechanics of game play to facilitate student learning. Despite increased adoption over the last decade, the question of how effective gamification is as a pedagogical strategy remains controversial. Here we report on the impact of a custom developed mobile app that incorporates…
Descriptors: Course Content, Game Based Learning, Computer Software, Learning Processes
Peter Pavlis – Online Submission, 2025
This quantitative, quasi-experimental study aimed to propose research-based AI constructivist learning activities by measuring students' self-perceptions of their critical thinking using the Motivational Strategies and Learning Questionnaire (MSLQ). The study utilized the input-experience-output framework to evaluate how these learning pursuits…
Descriptors: Critical Thinking, Artificial Intelligence, Constructivism (Learning), Learning Activities
Ann Cleveland; Asli Sezen-Barrie; Franziska Peterson; Sara Lindsay – Journal of College Science Teaching, 2025
Quantitative reasoning (QR) competencies are increasingly called for in the data rich and complex environment of STEM disciplines, including biology. Curricular reform efforts in QR have been directed at disseminating course design and pedagogy but less work has been directed at understanding what faculty at large view as crucial for student…
Descriptors: Biology, Introductory Courses, Science Instruction, Statistics Education
Javier Muñoz-Basols, Editor; Mara Fuertes Gutiérrez, Editor; Luis Cerezo, Editor – Multilingual Matters, 2025
This volume offers a rich overview of current research and teaching strategies for the integration of technology into language teaching and learning. It introduces the Planning, Personalization and Implementation (PPI) methodological framework to support educators in engaging with the theoretical foundations and innovative practices that should…
Descriptors: Social Media, Artificial Intelligence, Second Language Instruction, Second Language Learning
Jerry Huang; Atsushi Mizumoto – Education and Information Technologies, 2025
This study aimed to examine the effect of incorporating the generative pre-trained AI chatbot, ChatGPT, into an instructor-led writing class on the motivation of Japanese university students. This study examines changes in students' Ideal L2 Self, Ought-to L2 Self, and L2 Learning Experience using Dörnyei's L2 Motivational Self System (L2MSS)…
Descriptors: Artificial Intelligence, Teaching Methods, Computer Software, Technology Uses in Education
Zhenjie Weng; Yao Fu – International Journal of Technology in Education, 2025
This systematic review analyses empirical studies on the implementation of Generative Artificial Intelligence (GenAI) in language education to highlight its impact on promoting inclusivity and bridging educational gaps. The review encompasses quantitative, qualitative, and mixed-methods research, with a focus on inclusivity and educational equity…
Descriptors: Inclusion, Artificial Intelligence, Computer Software, Equal Education
Mustafa Senel – Journal on School Educational Technology, 2025
Artificial Intelligence (AI) technologies are increasingly being integrated into educational processes, offering various benefits to students, educators, and education systems. This study employs a meta-analysis approach to examine research conducted in Turkey on the use of AI in English as a Foreign Language (EFL) instruction and compares the…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, English (Second Language)
Christopher Dignam; Candace M. Smith; Amy L. Kelly – Journal of Education in Science, Environment and Health, 2025
The evolution of artificial intelligence (AI) and robotics in education has transitioned from automation toward emotionally responsive learning systems through artificial emotional intelligence (AEI). While AI-driven robotics has enhanced instructional automation, AEI introduces an affective dimension by recognizing and responding to human…
Descriptors: Robotics, Artificial Intelligence, Teaching Methods, Computer Software
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