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Gang Yang; Yali Wang; Youyou Zhang; Manna Yang; Qunfang Zeng; Zhanmei Song – Asia-Pacific Education Researcher, 2025
Improving EFL students' impromptu speaking ability is a challenge for English language instruction. The development of AI technology has brought new opportunities for impromptu speaking instruction. Therefore, this study proposes an AI-supported interleaved training strategy that focuses on the effects on students' impromptu speaking performance,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Teaching Methods, Second Language Learning
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Ayse Tugba Öner – Journal of Inquiry Based Activities, 2025
This study aims to prepare statistics activity-targeting comprehension of the arithmetic mean, consisting of worked-out example explanations through ChatGPT for sixth graders; determine situations encountered during the implementation of the activity; ascertain the effect of the activity on students' mathematics problem-solving performance; and…
Descriptors: Statistics Education, Artificial Intelligence, Computer Uses in Education, Grade 6
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Ellen Hazelkorn – New Directions for Community Colleges, 2025
This article discusses some of the macro-trends impacting and changing the post-secondary or tertiary education landscape across Organization for Economic Co-operation and Development (OECD) countries. It argues that ongoing geopolitical and geo-economic shifts, demographic transitions, and an ageing population, technological and digital…
Descriptors: Postsecondary Education, Educational Development, Educational Trends, Educational Change
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Chih-Chan Cheng; Jeen-Shing Wang; Xiaoming Zhai; Ya-Ting Carolyn Yang – International Journal of STEM Education, 2025
Background: UNESCO reports that around 70 countries have adopted AI-related strategies, recognizing AI literacy as essential for preparing citizens in an AI-driven world. Yet, two key challenges remain: limited AI literacy development at the foundational level and persistent gender gaps in AI fields. Without early, inclusive education,…
Descriptors: Technological Literacy, Artificial Intelligence, Barriers, Gender Differences
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Qinqing Zhang; Xiaoquan Pan; Jiqun Fan – European Journal of Education, 2025
Generative Artificial Intelligence (GenAI) offers robust information generation, swift responsiveness and high personalization for education. However, it remains unclear how these specific technological features translate into improved learning engagement through the mediation of learners' psychological states. Grounded in the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Trust (Psychology), Self Efficacy
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Wolla, Scott; Schug, Mark C.; Wood, William C. – Social Education, 2019
Advances in Artificial Intelligence (AI) technology and related fields like robotics have made it possible that automated systems will reach and then exceed human performance on more and more tasks. The affected fields span the economy, from health and education to energy and the environment. In this article, the authors define AI and provide some…
Descriptors: Artificial Intelligence, Robotics, Automation, Economic Impact
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Cukurova, Mutlu; Kent, Carmel; Luckin, Rosemary – British Journal of Educational Technology, 2019
The question: "What is an appropriate role for AI?" is the subject of much discussion and interest. Arguments about whether AI should be a "human replacing" technology or a "human assisting" technology frequently take centre stage. Education is no exception when it comes to questions about the role that AI should…
Descriptors: Artificial Intelligence, Data Use, Decision Making, Debate
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Hasibuan, Muhammad Said; Nugroho, Lukito Edi; Santosa, Paulus Insap – Journal of Technology and Science Education, 2019
Currently the detection of learning styles from the external aspect has not produced optimal results. This research tries to solve the problem by using an internal approach. The internal approach is one that derives from the personality of the learner. One of the personality traits that each learner possesses is prior knowledge. This research…
Descriptors: Cognitive Style, Artificial Intelligence, Prior Learning, Identification
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Ding, Xinyi; Larson, Eric C. – International Educational Data Mining Society, 2019
Knowledge tracing allows Intelligent Tutoring Systems to infer which topics or skills a student has mastered, thus adjusting curriculum accordingly. Deep Knowledge Tracing (DKT) uses recurrent neural networks (RNNs) for knowledge tracing and has achieved significant improvements compared with models like Bayesian Knowledge Tracing (BKT) and…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Models, Skills
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Moore, Russell; Caines, Andrew; Elliott, Mark; Zaidi, Ahmed; Rice, Andrew; Buttery, Paula – International Educational Data Mining Society, 2019
Educational systems use models of student skill to inform decision-making processes. Defining such models manually is challenging due to the large number of relevant factors. We propose learning multidimensional representations (embeddings) from student activity data -- these are fixed-length real vectors with three desirable characteristics:…
Descriptors: Models, Knowledge Representation, Skills, Artificial Intelligence
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Yang Gao; Qikai Wang; Xiaochen Wang – Asia Pacific Journal of Education, 2024
Nowadays, the prevalence of ChatGPT and other Large Language Models (LLMs) has posed significant challenges into the education field, particularly in English education. In response, this study aimed to investigate the beliefs of 95 EFL university teachers from Chinese universities regarding the integration of LLMs in language education, as well as…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Teaching Methods
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Artur Strzelecki; Sara ElArabawy – British Journal of Educational Technology, 2024
This study delves into the implications of incorporating AI tools, specifically ChatGPT, in higher education contexts. With a primary focus on understanding the acceptance and utilization of ChatGPT among university students, the research utilizes the Unified Theory of Acceptance and Use of Technology (UTAUT) as the guiding framework. The…
Descriptors: Artificial Intelligence, Synchronous Communication, Technology Uses in Education, Student Behavior
Matthew Berland; Antero Garcia – MIT Press, 2024
Educational analytics tend toward aggregation, asking what a "normative" learner does. In "The Left Hand of Data," educational researchers Matthew Berland and Antero Garcia start from a different assumption--that outliers are, and must be treated as, valued individuals. Berland and Garcia argue that the aim of analytics should…
Descriptors: Justice, Learning Analytics, Data Use, Futures (of Society)
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Beck Wise; Lisa Emerson; Ariella Van Luyn; Bronwen Dyson; Collin Bjork; Susan E. Thomas – Higher Education Research and Development, 2024
Concerns about the role of technology and the quality of student writing in higher education are not new. Historically, writing scholars have been at the forefront of initiatives that scrutinise and integrate new technologies in higher education. This article contends that writing scholars are again uniquely equipped to assist students, teachers…
Descriptors: Scholarship, Writing (Composition), Integrity, Authors
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Randi Proska Sandra; Wu-Yuin Hwang; Afifah Zafirah; Uun Hariyanti; Engkizar Engkizar; Ahmaddul Hadi; Ahmad Fauzan – Journal of Educational Computing Research, 2024
Argumentative writing is a fundamental aspect of undergraduate students' academic and scientific writing related to critical thinking and problem-solving skills. However, previous studies have shown that students face various difficulties with argumentative writing, such as unclear and illogical ideas, less-structured arguments, and unbalanced…
Descriptors: Persuasive Discourse, Writing (Composition), Undergraduate Students, Writing Skills
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