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Florence Gabriel; JohnPaul Kennedy; Rebecca Marrone; Simon Leonard – npj Science of Learning, 2025
Pragmatic, scalable and sustainable responses to persistent socio-emotional issues such as mathematics anxiety remain elusive. Artificial intelligence (AI) offers a promising approach by enhancing students' perceptions of competence, control, and value while transforming teacher-student interactions. This paper advocates for a research agenda…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
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Yifang Wang – Early Childhood Education Journal, 2025
The impact of population policy changes on the demand for educational resources has long been a central focus of scholarly inquiry. With the recent implementation of China's three-child policy, there arises the potential for shifts in preschool enrollment patterns, thereby influencing the demand for preschool educational resources. This study…
Descriptors: Prediction, Preschool Education, Educational Demand, Foreign Countries
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Ali Alsaawi; Mohammad Almoaily; Fahad Almulhim; Nesreen Alahmadi; Hamza Alshenqeeti – International Journal of Computer-Assisted Language Learning and Teaching, 2025
Artificial intelligence (AI) is one of the fastest growing technologies today. Its extraordinary scope and capabilities have led people of all ages and abilities to employ it in many of their activities. Language learning is a lifetime experience that could benefit from the use of AI and thus it is worth exploring people's awareness of this…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Bryan R. Drost; Char Shryock – Phi Delta Kappan, 2025
Creating assessment questions aligned to standards is a time-consuming task for teachers, but large language models such as ChatGPT can help. Bryan Drost & Char Shryock describe a three-step process for using ChatGPT to create assessments: 1) Ask ChatGPT to break standards into measurable targets. 2) Determine how much time to spend on each…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
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Muhammad Amin Nadim; Raffaele Di Fuccio – European Journal of Education, 2025
Higher education has witnessed remarkable technological advancements; however, the rapid rise of generative artificial intelligence (Gen AI) presents substantial challenges for teaching and research. This growing reliance has expanded educators' roles, underscoring the need for ethical and selective AI integration while preparing students and…
Descriptors: Artificial Intelligence, Teaching Methods, Learning Processes, Ethics
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Mengmeng Zhang; Xiantong Yang – Education and Information Technologies, 2025
Using information technology tools for academic help-seeking among college students has become a popular trend. In the evolutionary process between Generative Artificial Intelligence (GenAI) and traditional search engines, when students face academic challenges, do they tend to prefer ChatGPT, or are they more inclined to utilize Google? And what…
Descriptors: Web Sites, Artificial Intelligence, Synchronous Communication, Computer Software
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Aysel Sahin Kizil; Blanka Klimova; Marcel Pikhart; Antigoni Parmaxi – Journal of Computer Assisted Learning, 2025
Background: The rise of intelligent chatbots powered by artificial intelligence and machine learning has ignited interest in their potential for revolutionising second language (L2) acquisition and foreign language learning (FLL). While their potential seems vast, understanding their actual impact on learning outcomes requires comprehensive…
Descriptors: Educational Research, Artificial Intelligence, Computer Software, Synchronous Communication
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Andi Hamzah Fansury; Ali Wira Rahman; Rampeng; Andi Hamsiah – Journal of Education and Learning (EduLearn), 2025
Technology in the learning process can assist in providing teaching materials to students, making it easier for students, teachers, and parents to react whenever and wherever they are; facilitate and assist in the preparation of materials sourced from the internet; as well as assist in simulating, visualizing the learning process in a structured,…
Descriptors: Student Needs, Handheld Devices, Computer Software, Educational Technology
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Xavier Ochoa; Xiaomeng Huang; Yuli Shao – Journal of Learning Analytics, 2025
Generative AI (GenAI) has the potential to revolutionize the analysis of educational data, significantly impacting learning analytics (LA). This study explores the capability of non-experts, including administrators, instructors, and students, to effectively use GenAI for descriptive LA tasks without requiring specialized knowledge in data…
Descriptors: Learning Analytics, Artificial Intelligence, Computer Software, Scores
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Hon Keung Yau; Ka Fai Tung – Turkish Online Journal of Educational Technology - TOJET, 2025
This study explores the development and evaluation of a chatbot model designed to facilitate learning within a department of a university. The project aims to enhance the learning experience by incorporating customized data into the chatbot's knowledge base, enabling personalized and context-aware interactions. The research investigates the…
Descriptors: Instructional Effectiveness, Artificial Intelligence, Computer Software, Technology Integration
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Nikola Luburic; Jelena Slivka; Luka Doric; Simona Prokic; Aleksandar Kovacevic – Education and Information Technologies, 2025
Project-based learning (PBL) is a learning technology praised for its ability to grow domain-specific and domain-general skills and related knowledge and attitudes. However, consistently designing effective PBL experiences is challenging, primarily due to the lack of instructor support and guidance for designing PBL experiences aligned with…
Descriptors: Computer Software, Computer Uses in Education, Engineering Education, Active Learning
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Manuel T. Rein; Jeroen K. Vermunt; Kim De Roover; Leonie V. D. E. Vogelsmeier – Structural Equation Modeling: A Multidisciplinary Journal, 2025
Researchers often study dynamic processes of latent variables in everyday life, such as the interplay of positive and negative affect over time. An intuitive approach is to first estimate the measurement model of the latent variables, then compute factor scores, and finally use these factor scores as observed scores in vector autoregressive…
Descriptors: Measurement Techniques, Factor Analysis, Scores, Validity
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Asma Alsahil – Innovation in Language Learning and Teaching, 2025
Purpose: Despite substantial research on students' perceptions of collaborative writing, only a few studies have provided a deep understanding of their perceptions and attitudes toward computer-supported collaborative writing (CSCW). Previous studies have examined learners' perceptions and attitudes using questionnaires or interviews at a specific…
Descriptors: Student Attitudes, English (Second Language), Second Language Learning, Collaborative Writing
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Rashmi Khazanchi; Daniele Di Mitri; Hendrik Drachsler – Journal of Computer Assisted Learning, 2025
Background: Despite educational advances, poor mathematics achievement persists among K-12 students, particularly in rural areas with limited resources and skilled teachers. Artificial Intelligence (AI) based systems have increasingly been adopted to support the diverse learning needs of students and have been shown to enhance mathematics…
Descriptors: Mathematics Achievement, Rural Areas, Artificial Intelligence, Individualized Instruction
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Guy J. Krueger – Thresholds in Education, 2025
Generative AI has become a quotidian discussion topic in many writing departments, and the conversations often focus on the negative aspects or the disruptions it has caused. A growing number of teachers and scholars, though, have embraced the new technology and welcomed it into their classrooms. In the Spring 2024 semester, students in my…
Descriptors: Writing Instruction, Artificial Intelligence, Computer Software, Technology Integration
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