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Thiti Jantakun; Thada Jantakoon; Rukthin Laoha – Journal of Education and Learning, 2024
A scientometric analysis and systematic review of an immersive virtual learning environment (IVLE) designed to improve the development of hard skills comprised this study. The review focused on the period between 2016 and 2023 and was conducted using the Scopus database. This study employed a scientometrics analysis and systematic review…
Descriptors: Educational Environment, Electronic Learning, Skill Development, Literature Reviews
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Andy Nguyen; Yvonne Hong; Belle Dang; Xiaoshan Huang – Studies in Higher Education, 2024
Artificial Intelligence (AI) has increasingly influenced higher education, notably in academic writing where AI-powered assisting tools offer both opportunities and challenges. Recently, the rapid growth of generative AI (GAI) has brought its impacts into sharper focus, yet the dynamics of its utilisation in academic writing remain largely…
Descriptors: Foreign Countries, Doctoral Students, Artificial Intelligence, Academic Language
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Joseph Crawford; Kelly-Ann Allen; Bianca Pani; Michael Cowling – Studies in Higher Education, 2024
Artificial intelligence (AI) may be the new-new-norm in a post-pandemic learning environment. There is a growing number of university students using AI like ChatGPT and Bard to support their academic experience. Much of the AI in higher education research to date has focused on academic integrity and matters of authorship; yet, there may be…
Descriptors: College Students, Artificial Intelligence, Intelligent Tutoring Systems, Interpersonal Relationship
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Fan Yang; Xigui Yang; Meimei Xu; Jill Stefaniak – TechTrends: Linking Research and Practice to Improve Learning, 2024
The aim of this study is to analyze how undergraduate learners seek academic help online at a public university in the United States with Q methodology. Upon completion of the study, we identified three groups of help-seekers. The first group, informal and personal help-seekers, sought help from close friends or classmates to solve problems. The…
Descriptors: Undergraduate Students, Help Seeking, Peer Influence, Instructional Materials
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Xiang Wu; Huanhuan Wang; Yongting Zhang; Baowen Zou; Huaqing Hong – IEEE Transactions on Learning Technologies, 2024
Generative artificial intelligence has become the focus of the intelligent education field, especially in the generation of personalized learning resources. Current learning resource generation methods recommend customized courses based on learning styles and interests, improving learning efficiency. However, these methods cannot generate…
Descriptors: Artificial Intelligence, Individualized Instruction, Intelligent Tutoring Systems, Cognitive Style
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Inhoe Ku; Hyerim Lee; Jung-Eun Kim – Asia Pacific Journal of Education, 2024
This study examines the role of shadow education as a contributor to educational inequality in South Korea. Using data from the Korean Educational Longitudinal Study (KELS), this paper analyzes the effects of private tutoring at 10th and 12th grade level on College Scholastic Aptitude Test (CSAT) scores. We reduce biases in prior research by using…
Descriptors: Tutoring, Private Education, Supplementary Education, Equal Education
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Nesra Yannier; Scott E. Hudson; Henry Chang; Kenneth R. Koedinger – International Journal of Artificial Intelligence in Education, 2024
Adaptivity in advanced learning technologies offer the possibility to adapt to different student backgrounds, which is difficult to do in a traditional classroom setting. However, there are mixed results on the effectiveness of adaptivity based on different implementations and contexts. In this paper, we introduce AI adaptivity in the context of a…
Descriptors: Artificial Intelligence, Computer Software, Feedback (Response), Outcomes of Education
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Sarah Hopkins; Richard O'Donovan; Pearl Subban; Penny Round – International Journal of Inclusive Education, 2024
In this paper, the utility of instruments for evaluating how well preservice teachers are being prepared for teaching students with intellectual disability in inclusive classrooms are explored. This included an investigation using an instrument to assess the attitudes of first-year preservice teachers (PSTs) toward individuals with intellectual…
Descriptors: Preservice Teacher Education, Preservice Teachers, Students with Disabilities, Intellectual Disability
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Denisse M. Hinojosa; Emily P. Bonner – Urban Review: Issues and Ideas in Public Education, 2024
Parents play a vital role in shaping the ways young children understand the world around them. This paper reports on how the Community Mathematics Project (CMP)--a mathematics tutoring program for parents of diverse young children--affected the ways parents engaged in mathematical sensemaking while using virtual manipulatives and questioning to…
Descriptors: Mathematics Education, Parent Role, Tutoring, Electronic Learning
Christina Elizabeth Pigg – ProQuest LLC, 2024
The purpose of this ex post facto quantitative study was to examine the correlation between the scores of preservice teachers on 240 Tutoring STR practice tests and their scores on the actual STR exam and to explore the extent to which test preparation programs predicted performance on certification exams. In addition, this study compared the…
Descriptors: Test Preparation, Preservice Teachers, Teacher Certification, Licensing Examinations (Professions)
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John Stamper; Steven Moore; Carolyn P. Rosé; Philip I. Pavlik Jr.; Kenneth Koedinger – Journal of Educational Data Mining, 2024
LearnSphere is a web-based data infrastructure designed to transform scientific discovery and innovation in education. It supports learning researchers in addressing a broad range of issues including cognitive, social, and motivational factors in learning, educational content analysis, and educational technology innovation. LearnSphere integrates…
Descriptors: Learning Analytics, Web Sites, Data Use, Educational Technology
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Seema P. V. – Journal of Educational Technology, 2024
Artificial intelligence (AI) has become an important force in many fields, including education. Using Artificial Intelligence in classrooms can improve learning, make education more personal, and help teachers in their work. AI can change education by offering personalized learning, making assessments easier, and supporting teachers. It can also…
Descriptors: Artificial Intelligence, Technology Uses in Education, Faculty Development, Equal Education
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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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Ji Hyun Yu; Devraj Chauhan – Education and Information Technologies, 2025
This paper presents a comprehensive analysis of the major themes in Natural Language Processing (NLP) applications for personalized learning, derived from a Latent Dirichlet Allocation (LDA) examination of top educational technology journals from 2014 to 2023. Our methodology involved collecting a corpus of relevant journal articles, applying LDA…
Descriptors: Natural Language Processing, Individualized Instruction, Educational Technology, Emotional Intelligence
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Chabbott, Colette; Sinclair, Margaret – Prospects: Quarterly Review of Comparative Education, 2020
COVID-19 once again revealed the inherent weaknesses in relying on classroom-based schooling and ICT to sustain learning, a danger already familiar from earlier man-made and natural disasters. A lack of textbooks and lack of guidance for caregivers to support home-based learning limited the effectiveness of efforts to provide continuity of…
Descriptors: COVID-19, Educational Change, Textbooks, Home Schooling
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