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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)
Kyle Robinson – ProQuest LLC, 2024
The COVID-19 pandemic was an unprecedented event in modern educational history that resulted in a dramatic upheaval of the traditional school system. The shift from brick-and-mortar to virtual instruction resulted in profound anxiety and demand (Kush et al., 2021). As the quarantine ended, the return to the physical classroom brought with it new,…
Descriptors: Teacher Persistence, COVID-19, Pandemics, Faculty Mobility
Jess Parris Westbrook – ProQuest LLC, 2024
Queering' questions, unlearns, disrupts, and transforms approaches, expectations, and realities. Futures are time and change. The approach I have designed to operationalize Queering and futures, or Queering futures, is the Queering Futures Framework (QFF). The Queering Futures Framework (QFF) is a brand-new transdisciplinary research framework…
Descriptors: Interdisciplinary Approach, Praxis, Artificial Intelligence, Qualitative Research
Vedapradha R.; Hariharan R.; Sudha E.; Divyashree V. – International Journal of Information and Learning Technology, 2024
Purpose: The current research study aims to examine the application feasibility and impact of artificial intelligence (AI) among higher educational institutions (HEIs) in talent acquisitions (TA). Design/methodology/approach: A systematic sampling method was adopted to collect the responses from the 385 staff working across the various levels of…
Descriptors: Artificial Intelligence, Higher Education, Administrators, Recruitment
Anthony G. Picciano – Online Learning, 2024
Artificial intelligence (AI) has been evolving since the mid-twentieth-century when luminaries such as Alan Turing, Herbert Simon, and Marvin Minsky began developing rudimentary AI applications. For decades, AI programs remained pretty much in the realm of computer science and experimental game playing. This changed radically in the 2020s when…
Descriptors: Teacher Education, Seminars, Technology Uses in Education, Artificial Intelligence
Marcelo Fernando Rauber; Christiane Gresse von Wangenheim; Pedro Alberto Barbetta; Adriano Ferreti Borgatto; Ramon Mayor Martins; Jean Carlo Rossa Hauck – Informatics in Education, 2024
The insertion of Machine Learning (ML) in everyday life demonstrates the importance of popularizing an understanding of ML already in school. Accompanying this trend arises the need to assess the students' learning. Yet, so far, few assessments have been proposed, most lacking an evaluation. Therefore, we evaluate the reliability and validity of…
Descriptors: Artificial Intelligence, Measures (Individuals), Test Reliability, Test Validity
Leslie Browning-Samoni – ProQuest LLC, 2024
In the dynamic landscape of fashion, the integration of Generative Artificial Intelligence technology (GAI) stands as a transformative force. Fashion professionals and students must adapt to this technological shift, recognizing AI's pivotal role in enhancing product development. This paper explores the incorporation of GAI into fashion curricula…
Descriptors: Artificial Intelligence, Student Attitudes, Technology Uses in Education, Ethics
Editorial Projects in Education, 2024
Media literacy empowers students to critically analyze, evaluate, and create media, becoming informed and responsible digital citizens. This Spotlight will help readers guide students when navigating questionable mental health advice; provide readers with strategies to spot AI manipulation; identify how to help bilingual students be media literate…
Descriptors: Media Literacy, Bilingual Students, Deception, Misinformation
Anna Trifonova; Mariela Destéfano; Mario Barajas – Digital Education Review, 2024
This article proposes a comprehensive AI curriculum tailored for young learners aged 11 to 14, emphasizing a humanistic approach. We review other AI curricula proposals for children and young people and underline that they focus primarily on AI's technological benefits and on learning coding and logic. Our curriculum explores human cognition that…
Descriptors: Artificial Intelligence, Cognitive Processes, Children, Constructivism (Learning)
Andrés Torres Carceller – Digital Education Review, 2024
After years of development in the background, Artificial Intelligence (AI) has burst onto the global stage thanks to open tools for generating textual, visual, auditory, and audiovisual content. In this emerging context, AI is not only emerging as a technological phenomenon but also as a catalyst for innovation in the artistic and educational…
Descriptors: Art Education, Artificial Intelligence, Technology Uses in Education, Futures (of Society)

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