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Assim S. Alrajhi – Education and Information Technologies, 2025
Motivated by the proliferation of artificial intelligence that has the potential to promote self-access learning, this study utilizes a sequential explanatory quasi-experimental mixed methods design to investigate the efficacy of Google Assistant (GA) in facilitating second language (L2) vocabulary learning compared to online dictionaries. A…
Descriptors: English (Second Language), Second Language Learning, Artificial Intelligence, Vocabulary Development
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Jing Shi; Na Wan; Roslina Ibrahim – International Journal of Web-Based Learning and Teaching Technologies, 2024
The application of computer technology has revolutionized and promoted the traditional mode of piano teaching. Nowadays, many companies and institutions have begun to apply computer technology to online piano teaching. This paper analyzes the difficulties faced by students in piano teaching and the development of piano assistant practice and…
Descriptors: Music Education, Musical Instruments, Teaching Methods, Algorithms
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Yizhou Fan; Luzhen Tang; Huixiao Le; Kejie Shen; Shufang Tan; Yueying Zhao; Yuan Shen; Xinyu Li; Dragan Gaševic – British Journal of Educational Technology, 2025
With the continuous development of technological and educational innovation, learners nowadays can obtain a variety of supports from agents such as teachers, peers, education technologies, and recently, generative artificial intelligence such as ChatGPT. In particular, there has been a surge of academic interest in human-AI collaboration and…
Descriptors: College Students, Writing Achievement, Writing Exercises, Artificial Intelligence
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Da Tien Nguyen – International Electronic Journal of Mathematics Education, 2025
This study conducted a bibliometric analysis to investigate the trends and patterns in the application of artificial intelligence (AI) in mathematics education during the period 2020-2025. By analyzing a large dataset of scholarly publications, the study aims to identify the key research areas, influential researchers, and emerging trends in this…
Descriptors: Foreign Countries, Literature Reviews, Bibliometrics, Artificial Intelligence
Richey, J. Elizabeth; McEldoon, Katherine; Tan, Elaine – Pearson, 2023
Pearson's Learning Foundations describe the optimal conditions for learning and reflect the learner experience Pearson hopes their products will create. Pearson does this by incorporating the Learning Design Principles. Each of the Learning Design Principles goes into detail about a key principle, supporting product design and marketing by…
Descriptors: Theory Practice Relationship, Research and Development, Individualized Instruction, Intelligent Tutoring Systems
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Boussaha, Karima; Boussouf, Raouf Amir – International Journal of Virtual and Personal Learning Environments, 2022
Several researchers studied the impact of collaboration between the learners, but few studies have been carried out on the impact of collaboration between teachers. In the previous work, the authors have studied the impact of the collaboration among the learners with a specific collaborative CEHL(K. Boussaha et al.,2015). In this work, the authors…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Coaching (Performance), Intelligent Tutoring Systems
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Micah Watanabe; Megan Imundo; Katerina Christhilf; Tracy Arner; Danielle S. McNamara – Grantee Submission, 2024
Reading comprehension is essential for students' ability to build knowledge. Students' comprehension abilities can be enhanced by providing students with deliberate practice and formative feedback on reading comprehension strategies. iSTART is an Intelligent Tutoring System (ITS) that is designed to provide instruction in reading strategies with…
Descriptors: Reading Comprehension, Reading Strategies, Intelligent Tutoring Systems, Reading Instruction
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Da Teng; Xiangyang Wang; Yanwei Xia; Yue Zhang; Lulu Tang; Qi Chen; Ruobing Zhang; Sujin Xie; Weiyong Yu – Education and Information Technologies, 2025
The swift advancement of artificial intelligence, especially large language models (LLMs), has generated novel prospects for improving educational methodologies. Nonetheless, the successful incorporation of these technologies into pedagogical methods, such as flipped classrooms, continues to pose a challenge. This study investigates the…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Flipped Classroom, Technology Uses in Education
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Siska Wati Dewi Purba; Bertha Natalina Silitonga; John Jackson Yang – Turkish Online Journal of Distance Education, 2025
The rapid advancement of artificial intelligence (AI) is pervasive across numerous fields, including education. However, previous literature reviews have not thoroughly examined the current trends in research design pertaining to AI-assisted learning, nor have they sufficiently addressed the roles of AI applications and teachers within this…
Descriptors: Literature Reviews, Meta Analysis, Artificial Intelligence, Educational Trends
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Eglington, Luke G.; Pavlik, Philip I., Jr. – International Journal of Artificial Intelligence in Education, 2023
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
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Erika L. Thompson; Toufeeq Ahmed Syed; Zainab Latif; Katie Stinson; Damaris Javier; Gabrielle Saleh; Jamboor K. Vishwanatha – Journal for STEM Education Research, 2025
Given the differences in trajectory for under-represented minorities in biomedical careers, we sought to explore how a virtual mentoring program, the National Research Mentoring Network (NRMN), and its platform (MyNRMN), may facilitate transitions in the science, technology, engineering, mathematics, and medicine (STEMM) pipeline. The purpose of…
Descriptors: College Students, STEM Education, STEM Careers, Medical Education
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Erick Fernando; Rosilah Hassan; Dina Fitria Murad; Zeyad Ghaleb Al-Mekhlafi – Educational Process: International Journal, 2025
Background/purpose: Education continues to evolve along with technological advances, and one of the biggest changes is the application of artificial intelligence (AI) in the learning process. The main problem in this study is the lack of in-depth understanding of the factors that influence the effectiveness of using AI in self-paced learning…
Descriptors: Literature Reviews, Meta Analysis, Bibliometrics, Artificial Intelligence
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Moore, Robert L.; Jiang, Shiyan; Abramowitz, Brian – Journal of Research on Technology in Education, 2023
This systematic review examines the empirical literature published between 2014 and 2021 that situates artificial intelligence within K-12 educational contexts. Our review synthesizes 12 articles and highlights artificial intelligence's instructional contexts and applications in K-12 learning environments. We focused our synthesis on the learning…
Descriptors: Artificial Intelligence, Technology Uses in Education, Elementary Secondary Education, Computer Assisted Instruction
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Kadir Karakaya; Muhammet Furkan Alpat; Hasan Uçar; Özlem Karakaya; Aras Bozkurt – Technology in Language Teaching & Learning, 2025
The increasing integration of generative Artificial Intelligence (AI) tools, such as ChatGPT, in education has prompted growing interest in their pedagogical potential and the emergent competencies required for their effective use in language instruction. While generative AI is beginning to influence language teaching and learning practices,…
Descriptors: Literature Reviews, Bibliometrics, Algorithms, Language Teachers
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Ying Yang – Education and Information Technologies, 2025
Vocabulary acquisition is crucial for language learning, yet learners face substantial challenges in memorizing extensive vocabulary. Numerous studies suggest Artificial Intelligence (AI)-based technologies could significantly improve vocabulary acquisition among K-12 learners. Therefore, instructors or teachers must be fully informed of the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Assisted Instruction, Vocabulary Development
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