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Justin Edwards; Andy Nguyen; Joni Lämsä; Marta Sobocinski; Ridwan Whitehead; Belle Dang; Anni-Sofia Roberts; Sanna Järvelä – British Journal of Educational Technology, 2025
Socially shared regulation of learning (SSRL) is a crucial process for groups of learners to successfully collaborate. Detecting and supporting SSRL is a challenge, especially in real time, but hybrid intelligence approaches such as Artificial Intelligence (AI) agents may make this possible. Leveraging the concept of trigger events which invite…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Metacognition

Devika Venugopalan; Ziwen Yan; Conrad Borchers; Jionghao Lin; Vincent Aleven – Grantee Submission, 2025
Caregivers (i.e., parents and members of a child's caring community) are underappreciated stakeholders in learning analytics. Although caregiver involvement can enhance student academic outcomes, many obstacles hinder involvement, most notably knowledge gaps with respect to modern school curricula. An emerging topic of interest in learning…
Descriptors: Homework, Computational Linguistics, Teaching Methods, Learning Analytics
Christine Eith; Denise Zawada – Impacting Education: Journal on Transforming Professional Practice, 2025
This paper proposes a framework for integrating generative artificial intelligence (AI) tools into statistical training for Doctor of Education (EdD) students. The rigorous demands of doctoral education, coupled with the challenges of learning complex statistical software and coding language, often lead to anxiety and frustration among students,…
Descriptors: Doctoral Programs, Artificial Intelligence, Technology Integration, Statistics Education
Luciana Oliveira; Célia Tavares; Artur Strzelecki; Manuel Silva – Electronic Journal of e-Learning, 2025
As generative artificial intelligence tools like ChatGPT become increasingly integrated into educational environments, understanding their impact on critical thinking is crucial. Despite growing concerns about AI's potential to diminish students' independent reasoning, there is a lack of research tools specifically designed to evaluate students'…
Descriptors: Critical Thinking, Artificial Intelligence, Computer Software, Technology Integration
Rui Sun; Xuefei Deng – Journal of Information Systems Education, 2025
This paper examines university students' perceptions of and experiences with using ChatGPT, a generative artificial intelligence (GenAI) tool, to enhance their experiential learning. In this exploratory study, we designed a ChatGPT learning activity flow corresponding to the four experiential learning steps. Analysis of survey data collected from…
Descriptors: Artificial Intelligence, Cues, Teaching Methods, Technology Uses in Education
Nicole Mills; Hannah Hok; Arnaud Dressen; Quentin Veillas – Foreign Language Annals, 2025
The Modern Language Association (MLA) published a writing and artificial intelligence (AI) working paper that provided an overview of key issues, concerns, and recommendations to help language educators make principle-driven pedagogical decisions to support critical AI literacy. To address the MLA's recommendations, a collaborative AI writing…
Descriptors: Teaching Methods, Second Language Learning, Second Language Instruction, Artificial Intelligence
Phuong-Anh Nguyen – IAFOR Journal of Education, 2024
Strategic competence, the ability to use communication strategies (CS) to overcome challenges and enhance communication effectiveness, is crucial in language learning. However, the coverage of these strategies as well as target models to teach them remain scarce in current instructional materials. This paper represents the first attempt to examine…
Descriptors: Artificial Intelligence, Computer Software, Metacognition, Technology Uses in Education
Araka, Eric; Oboko, Robert; Maina, Elizaphan; Gitonga, Rhoda – International Review of Research in Open and Distributed Learning, 2022
With the increased emphasis on the benefits of self-regulated learning (SRL), it is important to make use of the huge amounts of educational data generated from online learning environments to identify the appropriate educational data mining (EDM) techniques that can help explore and understand online learners' behavioral patterns. Understanding…
Descriptors: Data Analysis, Metacognition, Comparative Analysis, Behavior Patterns
Dimitrova, Vania; Mitrovic, Antonija – International Journal of Artificial Intelligence in Education, 2022
Video-based learning is widely used today in both formal education and informal learning in a variety of contexts. Videos are especially powerful for transferable skills learning (e.g. communicating, negotiating, collaborating), where contextualization in personal experience and ability to see different perspectives are crucial. With the ubiquity…
Descriptors: Artificial Intelligence, Video Technology, Teaching Methods, Transfer of Training
Henriikka Vartiainen; Teemu Valtonen; Juho Kahila; Matti Tedre – Information and Learning Sciences, 2025
Purpose: In 2022 generative AI took the Internet world by storm. Free access to tools that can generate text and images that pass for human creations triggered fiery debates about the potential uses and misuses of generative AI in education. There has risen a need to check the popular utopian and dystopian narratives about AI against the diversity…
Descriptors: Foreign Countries, Artificial Intelligence, Computer Software, Technology Uses in Education
Fishovitz, Jennifer; Crawford, Garland L.; Kloepper, Kathryn D. – Journal of Chemical Education, 2020
Games are a way to engage students with course material in a low-stakes environment. In the popular game app "Heads Up!", participants give clues to a guesser who is holding a word on their forehead. Here, we present a modified version of this game where students are required to give clues in a specific order that emphasizes higher-order…
Descriptors: Metacognition, Computer Software, Computer Games, Cues
Kyle R. Van Horn – TESL-EJ, 2024
Building on previous research, this qualitative exploratory study investigates the impact of ChatGPT on English language classes among Korean university students. The researcher uses pre- and post-training surveys, in-class observations, and interviews to explore 120 students' perceptions of their experiences over a 15-week semester. Results…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
Mei-Rong Alice Chen – Language Learning & Technology, 2024
This study explores the impact of an innovative approach that combines artificial intelligence (AI) chatbot support with collaborative note-taking (CNT) in the comprehension of semantic terms among English as a Foreign Language (EFL) learners. Given the significance of semantics in English language learning, traditional didactic methods often…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Semantics
Mahuda, Isnaini; Nasrullah, Anton; Mubarika, Melinda Putri; Meilisa, Ranny; Fajari, Laksmi Evasufi Widi – Online Submission, 2022
This study aimed; (1) to investigate student responses toward the use of android-based media assisted by Smart Apps Creator for mathematics learning; (2) to investigate student self-regulated learning level; (3) to find out whether there was an effect using Android-based mathematics learning media assisted by Smart Apps Creator on student…
Descriptors: Mathematics Instruction, Teaching Methods, Computer Assisted Instruction, Telecommunications
Verschaffel, Lieven; Schukajlow, Stanislaw; Star, Jon; Van Dooren, Wim – ZDM: The International Journal on Mathematics Education, 2020
Word problems are among the most difficult kinds of problems that mathematics learners encounter. Perhaps as a result, they have been the object of a tremendous amount research over the past 50 years. This opening article gives an overview of the research literature on word problem solving, by pointing to a number of major topics, questions, and…
Descriptors: Word Problems (Mathematics), Mathematics Instruction, Comprehension, Teaching Methods