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Desheng Yan; Guangming Li – Interactive Learning Environments, 2024
Smart education, with its intelligent, individualized, and technologized content, represents people's lofty expectations for future education. It provides a good learning platform for teaching and an important environment in which students' digital learning power can be developed in the context of the information technology era. Digital learning…
Descriptors: Electronic Learning, Information Technology, Artificial Intelligence, Educational Environment
Muhammad Yasir Mustafa; Ahmed Tlili; Georgios Lampropoulos; Ronghuai Huang; Petar Jandric; Jialu Zhao; Soheil Salha; Lin Xu; Santosh Panda; Kinshuk; Sonsoles López-Pernas; Mohammed Saqr – Smart Learning Environments, 2024
Despite the increased adoption of Artificial Intelligence in Education (AIED), several concerns are still associated with it. This has motivated researchers to conduct (systematic) reviews aiming at synthesizing the AIED findings in the literature. However, these AIED reviews are diversified in terms of focus, stakeholders, educational level and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Foreign Countries, Higher Education
Niklas Humble – International Journal of Educational Technology in Higher Education, 2024
The idea of Artificial intelligence (AI) has a long history in both research and fiction and has been applied in educational settings since the 1970s. However, the topic of AI underwent a huge increase of interest with the release of ChatGPT in late 2022, and more people were talking about generative AI (GenAI or GAI). According to some estimates,…
Descriptors: Risk Management, Artificial Intelligence, Computer Software, Barriers
Eline Wagemaker; Elske Salemink; Hilde M. Huizenga; Han F. Bart; Tycho J. Dekkers; Anika Bexkens – Journal of Applied Research in Intellectual Disabilities, 2024
Background: Adolescents with mild-to-borderline intellectual disability face peer resistance challenges, risking harmful or dangerous situations. Method: We designed a peer resistance group intervention at school for adolescents with mild-to-borderline intellectual disability, tested its feasibility (N = 4, M[subscript age] = 14.1, M[subscript IQ]…
Descriptors: Mild Intellectual Disability, Slow Learners, Intelligence Quotient, Vocational Schools
Wen-Feng Lai – International Journal of Early Childhood, 2024
The perspective of emergent literacy was applied to investigate the name-writing skills of 4-year-old, low-income Mandarin Chinese-speaking children in Taiwan. One hundred and eleven children in Taiwan were recruited from 12 public preschools. Children were individually assessed with a name-writing task, the Peabody Picture Vocabulary…
Descriptors: Foreign Countries, Low Income Students, Emergent Literacy, Chinese
Viviana Alexandrowicz – Journal of Education and Learning, 2024
This article explores the potential uses, benefits, and challenges of artificial intelligence (AI) tools for teacher educators and their teacher candidates. It begins with a brief introduction to the topic, followed by a discussion of existing literature concerning the impact of AI on K-12 education; the importance of preparing AI-literate…
Descriptors: Teacher Education, Artificial Intelligence, Technology Uses in Education, Educational Technology
Semih Çayak – Journal of Educational Technology and Online Learning, 2024
This study aims to examine the relationship between teachers' attitudes toward artificial intelligence and their artificial intelligence literacy levels. In the present study, "General Attitude Toward Artificial Intelligence Scale" and "Artificial Intelligence Literacy Scale" were used. The study group consisted of 361 teachers…
Descriptors: Teacher Attitudes, Artificial Intelligence, Technological Literacy, Teacher Characteristics
Tal Waltzer; Celeste Pilegard; Gail D. Heyman – International Journal for Educational Integrity, 2024
The release of ChatGPT in 2022 has generated extensive speculation about how Artificial Intelligence (AI) will impact the capacity of institutions for higher learning to achieve their central missions of promoting learning and certifying knowledge. Our main questions were whether people could identify AI-generated text and whether factors such as…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, College Students
Renee Owen; Simon Priest; Andre Kotze – Journal of Adventure Education and Outdoor Learning, 2024
This conceptual article examines the role of team-building in outdoor learning, reviews group development theory in relation to teamwork, and outlines the Behaviour Analysis model as a tool to facilitate team-building. Working with this foundation, the theory and model are combined with discussion about team, leader, and facilitator behaviours at…
Descriptors: Outdoor Education, Teamwork, Interaction, Emotional Intelligence
Ryusei Munemura; Fumiya Okubo; Tsubasa Minematsu; Yuta Taniguchi; Atsushi Shimada – International Association for Development of the Information Society, 2024
Course planning is essential for academic success and the achievement of personal goals. Although universities provide course syllabi and curriculum maps for course planning, integrating and understanding these resources by the learners themselves for effective course planning is time-consuming and difficult. To address this issue, this study…
Descriptors: Curriculum Development, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Duy Pham; Kirk Vanacore; Adam Sales; Johann Gagnon-Bartsch – Society for Research on Educational Effectiveness, 2024
Background: Education researchers typically estimate average program effects with regression; if they are interested in heterogeneous effects, they include an interaction in the model. Such models quantify and infer the influences of each covariate on the effect via interaction coefficients and their associated p-values or confidence intervals.…
Descriptors: Educational Research, Educational Researchers, Regression (Statistics), Artificial Intelligence
Xue Wang; Gaoxiang Luo – Society for Research on Educational Effectiveness, 2024
Background: Despite the usefulness of systematic reviews and meta-analyses, they are time-consuming and labor-intensive (Michelson & Reuter, 2019). The technological advancements in recent years have led to the development of tools aimed at streamlining the processes of systematic reviews and meta-analyses. Innovations such as Paperfetcher…
Descriptors: Meta Analysis, Artificial Intelligence, Computational Linguistics, Computer Software
Valerie A. Storey; Brian Cunningham – Education Leadership Review, 2024
Artificial Intelligence (AI) yields tremendous opportunities for educational leaders who are forward-thinking, adaptable, updated, and aligned with new technologies (Milton & Al-Busaidi,2023). AI necessitates leaders, particularly those leaders in educational domains, to undergo significant paradigmatic shifts in their cognitive frameworks,…
Descriptors: Artificial Intelligence, Influence of Technology, Epistemology, Research and Development
Sasha Nikolic; Isabelle Wentworth; Lynn Sheridan; Simon Moss; Elisabeth Duursma; Rachel A. Jones; Montserrat Ros; Rebekkah Middleton – Australasian Journal of Educational Technology, 2024
The rapid advancement of artificial intelligence (AI) has outpaced existing research and regulatory frameworks in higher education, leading to varied institutional responses. Although some educators and institutions have embraced AI and generative AI (GenAI), other individuals remain cautious. This systematic literature review explored teaching…
Descriptors: College Faculty, Teacher Attitudes, Intention, Teacher Behavior
Xiaolin Wang; Wenxia Zhang – Education Research and Perspectives, 2024
This paper explores the integration of Generative Artificial Intelligence (GAI) into peer feedback in English as a Foreign Language (EFL) writing class as a collaborative companion, aiming at enhancing peer feedback engagement and improving overall writing ability. This study first proposes a framework for integrating GAI in peer feedback,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Peer Evaluation, Feedback (Response)

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