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Direct linkRazib Chandra Chanda; Ali Vafaei-Zadeh; Haniruzila Hanifah; T. Ramayah – Education and Information Technologies, 2025
Artificial intelligence (AI) is reshaping university education by offering personalized teaching assistance tailored to each student's cognitive needs. Despite its global rise, AI's adoption in higher education in developing nations like Bangladesh is sparse. This study, gathering 363 responses from Bangladeshi universities, employed PLS-SEM, ANN,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Developing Nations
Iddrisu Salifu; Francis Arthur; Bernard Yaw Sekyi Acquah; Ernest Opoku; Sharon Abam Nortey; Eric Boateng – Discover Education, 2025
This study based on an extended Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model, examines factors influencing graduate students' behavioural intention towards adoption and actual use of generative artificial intelligence (GenAI). Using a cross-sectional data from 415 graduate students in Ghana, this study employed the partial…
Descriptors: Graduate Students, Technology Uses in Education, Artificial Intelligence, Foreign Countries
Abdelmounim Bouziane; Karima Bouziane – Discover Education, 2025
Technology, especially Artificial Intelligence (AI), plays a central role in today's modern world. As AI continues its transformative journey across various sectors, its impact on education is increasingly significant. This study explores Moroccan university students' attitudes and perceptions towards the integration of AI into courses in Social…
Descriptors: Foreign Countries, College Students, Student Attitudes, Adoption (Ideas)
Paniagua, Carmen; García-Moya, Irene; Moreno, Carmen – Youth & Society, 2022
There is a need of additional research into the social aspects of adoptees' school experiences. For that purpose, the present study used a sample of adopted (n = 541) and non-adopted (n = 582) adolescents from the Health Behavior in School-aged Children (HBSC) study in Spain. Specifically, we analyzed social support at school (from classmates and…
Descriptors: Adoption, Foreign Countries, Social Support Groups, Adolescents
Download full textConner, Pat; Cross, Ruth; Dusenbury, Linda; Wolforth, Sara; Yoder, Nick – Collaborative for Academic, Social, and Emotional Learning, 2022
This document is designed to help guide the process of developing, implementing, and sustaining social and emotional learning (SEL) policies and practices by state education agencies (SEAs) and local education agencies (LEAs) that want to implement SEL policies and guidelines. Based on their extensive experience supporting state and district…
Descriptors: State Policy, Social Emotional Learning, Policy Formation, Educational Policy
Xiangzhi Wang; Mo Chou; Xinyu Lai; Jingren Tang; Junyu Chen; Wai Kei Kong; Hung-Lin Chi; Michael C. H. Yam – Journal of Civil Engineering Education, 2024
The cave automatic virtual environment (CAVE) can provide a large-scale immersive and interactive virtual reality (VR) learning environment, which is suitable for the navigation of visualized learning objects and communication among teachers and students. Its applications have gained attention in the field of architecture, engineering, and…
Descriptors: Student Attitudes, Computer Simulation, Technology Uses in Education, Architecture
Rachel Slama, Editor; Nelson Lim, Editor; Douglas Yeung, Editor; Elie Alhajjar, Contributor; Rushil Bakhshi, Contributor; Julia Bandini, Contributor; Dwayne M. Butler, Contributor; Avery Calkins, Contributor; Angela K. Clague, Contributor; Arianne Collopy, Contributor; Brandon Crosby, Contributor; Brandon De Bruhl, Contributor; Tuyen Dinh, Contributor; Fernando Esteves, Contributor; Susan M. Gates, Contributor; Charles A. Goldman, Contributor; Timothy R. Gulden, Contributor; Wenjing Huang, Contributor; Kelly Hyde, Contributor; Rita T. Karam, Contributor; Tracy C. Krueger, Contributor; Jonah Kushner, Contributor; Mary Lee, Contributor; Nelson Lim, Contributor; Maria C. Lytell, Contributor; Laurie T. Martin, Contributor; Nikolay Maslov, Contributor; Michael G. Mattock, Contributor; Skye A. Miner, Contributor; Alvin Moon, Contributor; Ojashwi Pathak, Contributor; Neeti Pokhriyal, Contributor; Carter C. Price, Contributor; Sean Robson, Contributor; Srikant Kumar Sahoo, Contributor; Morgan Sandler, Contributor; Anton Shenk, Contributor; Rachel Slama, Contributor; Éder M. Sousa, Contributor; Tobias Sytsma, Contributor; Ivy Todd, Contributor; John Vahedi, Contributor; Jessie Wang, Contributor; Madison Williams, Contributor; Jody Chin Sing Wong, Contributor; Douglas Yeung, Contributor – RAND Corporation, 2024
Artificial intelligence (AI) is poised to significantly affect the American workforce -- both civilian and military personnel -- through job displacement, augmentation, and the need for widespread upskilling. President Biden's October 2023 executive order on AI emphasizes the government's commitment to upskilling the federal workforce in…
Descriptors: Artificial Intelligence, Labor Force, Military Personnel, Job Skills
Leonardo David Glasserman-Morales; Carolina Alcantar-Nieblas; José Maria Romero Rodriguez – Journal of Social Studies Education Research, 2024
It is increasingly evident that using technological resources has broadly impacted people's lives, including their education. One of the technologies implemented for several years is Open Educational Resources (OER), with elements of open practice to mitigate the impact of the digital divide. This article describes the validation process of an…
Descriptors: Student Attitudes, Open Educational Resources, Foreign Countries, Validated Programs
Lionel Alvarez; Giulia Ortoleva; Denise Sutter Widmer; Mattia Fritz; Julien Bugmann; Stéphanie Boéchat-Heer; Corinne Ramillon – Journal of Technology and Teacher Education, 2024
Generative artificial intelligence (genAI) has undergone rapid advancements, presenting challenges to teacher education. In this study, we explore genAI acceptance among pre-service teachers, concerning both their roles as current students and aspiring professionals. Our survey engaged a sample size of 256 pre-service teachers drawn from six…
Descriptors: Artificial Intelligence, Teacher Attitudes, Adoption (Ideas), Preservice Teachers
Artur Strzelecki – Interactive Learning Environments, 2024
ChatGPT is an AI tool that assisted in writing, learning, solving assessments and could do so in a conversational way. The purpose of the study was to develop a model that examined the predictors of adoption and use of ChatGPT among higher education students. The proposed model was based on a previous theory of technology adoption. Seven…
Descriptors: Computer Software, Artificial Intelligence, Synchronous Communication, Technology Uses in Education
Steven Beyer; Frederik Grave-Gierlinger; Lars Meyer-Jenßen – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2024
Considering the widespread belief in the potential of mobile technology to enhance core activities of teachers, like lesson planning and preparation, limited research has been conducted on the use of mobile technology to support these activities. To address this research gap, this study delved into the acceptance of an intent-based chatbot…
Descriptors: Preservice Teachers, Student Attitudes, Beliefs, Users (Information)
Philip Cam – Analytic Teaching and Philosophical Praxis, 2024
Anyone familiar with Matthew Lipman's Community of Inquiry is likely to acknowledge that it cultivates open-mindedness. Even so, bare recognition of this fact is not the same as having a detailed knowledge of what open-mindedness involves and how the Community of Inquiry helps to foster it. To extend our knowledge of these matters, we will conduct…
Descriptors: Communities of Practice, Persuasive Discourse, World Views, Bias
Manar Hazaimeh; Abdullah M. Al-Ansi – International Journal of Information and Learning Technology, 2024
Purpose: Artificial intelligence (AI) is constantly evolving and is poised to significantly transform the world, affecting nearly every sector and aspect of society. As AI continues to evolve, it is expected to create a more dynamic, efficient and personalized education system, supporting lifelong learning and adapting to the needs and pace of…
Descriptors: Artificial Intelligence, Adoption (Ideas), Teacher Attitudes, Student Attitudes
Nguwi, Yok Yen – International Journal of Multidisciplinary Perspectives in Higher Education, 2023
The landscape of teaching in higher education is dynamic and driven by the interplay among educators, students and curriculum. Educators play the primary role in presenting curriculum for students to absorb and leading classroom discussions. The onus of teaching is on educators who come with different pedagogical beliefs, teaching styles and prior…
Descriptors: Educational Technology, Technology Uses in Education, Higher Education, College Faculty
de Rooij, Alwin – Journal of Creative Behavior, 2023
Inner speaking, the production, and experience of verbal language without any audible vocalization is a critical component of inner experience and imagination. The role that (un)certainty plays in idea generation might explain the unique ways in which idea generation is characterized and affected by different types of inner speech. To explore this…
Descriptors: Informed Consent, Inner Speech (Subvocal), Cognitive Processes, Adoption (Ideas)
