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Lijuan Luo; Jinmiao Hu; Yujie Zheng; Chen Li – Education and Information Technologies, 2025
Students are increasingly utilizing AI educational tools in their daily learning, complementing human instructors. Yet, little is known about how and when learning assistant type (Human vs. AI) influences students' innovation behavior. To better understand these ambiguities, based on self-determination theory and organizational climate theory, the…
Descriptors: Artificial Intelligence, Student Behavior, Innovation, Intelligent Tutoring Systems
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Vasiliki Paltsoglou; Kostas Zafiropoulos – Open Education Studies, 2025
The usage of artificial intelligence (AI) in education is quickly growing, with chatbots gaining popularity as potential tools for supporting teaching and learning. This study looks into the elements that influence teachers' willingness to use chatbots in their teaching techniques. Drawing on the Unified Theory of Acceptance and Use of Technology,…
Descriptors: Foreign Countries, Elementary School Teachers, Artificial Intelligence, Natural Language Processing
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Sajja, Ramteja; Sermet, Yusuf; Cwiertny, David; Demir, Ibrahim – International Journal of Educational Technology in Higher Education, 2023
Miscommunication between instructors and students is a significant obstacle to post-secondary learning. Students may skip office hours due to insecurities or scheduling conflicts, which can lead to missed opportunities for questions. To support self-paced learning and encourage creative thinking skills, academic institutions must redefine their…
Descriptors: College Students, Artificial Intelligence, Teaching Assistants, Intelligent Tutoring Systems
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Jessica Fernanda Silva Barbosa; Geiser Chalco Challco; Ig Ibert Bittencourt – Interactive Learning Environments, 2024
Gender-stereotypical design, such as the predominance of blue colors in interfaces, leaderboards with only men at the top, and male avatars, may have negative effects on women in gamified tutoring systems, especially in courses with a majority of male participation, such as courses of Science, Technology, Engineering, and Mathematics (STEM). We…
Descriptors: Sex Stereotypes, Gamification, Thinking Skills, Negative Attitudes
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Muhammad Mooneeb Ali; Ahmed M. Alaa; Wael Alharbi; Issa Al Qurashi – International Journal of Technology in Education, 2025
Machine and prompt-based Artificial Intelligence (AI) learning has made significant evolution profusely. In education, it has revitalized researchers and educators to scout out subsequent advantages for optimizing learning results. Chiefly, Generative AI has exhibited substantial potential as a tool for language augmentation. This study aims to…
Descriptors: Foreign Countries, Grade 10, Artificial Intelligence, Natural Language Processing
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Jinhee Kim; Seongryeong Yu; Rita Detrick; Na Li – Education and Information Technologies, 2025
The rapid development of generative artificial intelligence (GenAI), including large language models (LLM), has merged to support students in their academic writing process. Keeping pace with the technical and educational landscape requires careful consideration of the opportunities and challenges that GenAI-assisted systems create within…
Descriptors: Student Attitudes, Artificial Intelligence, Technology Uses in Education, Natural Language Processing
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Wang, Yue; Eysink, Tessa H. S.; Qu, Zhili; Yang, Zhijiao; Shan, Huaming; Zhang, Nan; Zhang, Hai; Wang, Yining – Journal of Educational Computing Research, 2022
This research used a comparative quasi-experimental design to investigate the impacts of an IRS in the ILE on students' academic performance, cognitive load, and satisfaction with the lesson. A total of 31 middle school students were divided into the experimental group and the control group. Mann-Whitney U tests yielded three major results. (1)…
Descriptors: Intelligent Tutoring Systems, Active Learning, Academic Achievement, Cognitive Processes
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Elif Polat; Yunus Emre Bastug; Sinan Hopcan; Simge Cepdibi Sibiç; Nazli Ceren Isikligil – Journal of Learning and Teaching in Digital Age, 2024
This study investigates the primary school teachers' perceptions towards the Intelligent Material System (IMS), which was developed to enhance the quality of inclusive environments and support the academic skills of students with Special Educational Needs (SEN). Within this scope, IMS training was conducted with 84 classroom teachers who worked at…
Descriptors: Teacher Attitudes, Elementary School Teachers, Inclusion, Special Education
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Abdur Rahman; Prajeesh Tomy – Interactive Learning Environments, 2024
Speaking in a second/foreign language, especially in English, is one of the most anxiety-provoking tasks for language learners. Anxiety provoked while speaking in a second language distresses the learners and further affects their oral proficiency in English. This article focuses on investigating the presence of anxiety among (n = 86) first-year…
Descriptors: Intelligent Tutoring Systems, Second Language Learning, Second Language Instruction, Speech Communication
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Lu Ding; Tong Li; Shiyan Jiang; Albert Gapud – International Journal of Educational Technology in Higher Education, 2023
The latest development of Generative Artificial Intelligence (GenAI), particularly ChatGPT, has drawn the attention of educational researchers and practitioners. We have witnessed many innovative uses of ChatGPT in STEM classrooms. However, studies regarding students' perceptions of ChatGPT as a virtual tutoring tool in STEM education are rare.…
Descriptors: Technology Uses in Education, Artificial Intelligence, Introductory Courses, College Science
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Harati, Hoda; Sujo-Montes, Laura; Tu, Chih-Hsiung; Armfield, Shadow J. W.; Yen, Cherng-Jyh – Education Sciences, 2021
Adaptive learning is an educational method that uses computer algorithms and artificial intelligence (AI) to customize learning materials and activities based on each user's model. Adaptive learning has been used for more than 20 years. However, it is still unique, and no other system could bring more or even similar capabilities than the ones…
Descriptors: Intelligent Tutoring Systems, Questionnaires, Self Management, Learning Strategies
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Gonulal, Talip – Interactive Learning Environments, 2023
Intelligent personal assistants (IPAs), which are voice-activated agents enabling human--computer interaction, have recently been reported to be pedagogically useful agents in language learning. IPAs use various forms of humor to better communicate with users and to compensate for any performance limitations. In order to understand the IPAs' sense…
Descriptors: Intelligent Tutoring Systems, Second Language Learning, Second Language Instruction, English (Second Language)
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Cheng Ching Ho – Online Learning, 2024
Artificial intelligence (AI) tools have become a popular topic in the education field. Most of the schools in Hong Kong focus on how to properly use AI software to help students' learning experience. As this is still a relatively new technology, the stance for most of the schools in Hong Kong is skeptical. This study aims to find out whether…
Descriptors: Artificial Intelligence, Writing Ability, Technology Uses in Education, Foreign Countries
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Tzu-Yu Tai; Howard Hao-Jan Chen – Computer Assisted Language Learning, 2024
Intelligent Personal Assistant (IPA) has emerged as a valuable tool for EFL learning by offering interactive authentic contexts. Although IPA is believed to be motivational and useful, empirical evidence is limited and contradictory, especially the efficacy of listening comprehension. Therefore, the study investigated the impact of IPA on…
Descriptors: English (Second Language), English Language Learners, Adolescents, Listening Comprehension
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Bervell, Brandford; Umar, Irfan Naufal – Open Learning, 2020
Learning Management System (LMS)-enabled blended learning has been adopted by higher educational institutions for promoting accessible and effective pedagogy and andragogical practices. The introduction of this mode of learning has altered the traditional face-to-face interaction. However, the lack of actual usage and online presence by…
Descriptors: Blended Learning, Conventional Instruction, Instructional Effectiveness, Tutors
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