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David Baidoo-Anu; Daniel Asamoah; Isaac Amoako; Inuusah Mahama – Discover Education, 2024
This study examined the perspectives of Ghanaian higher education students on the use of ChatGPT. The Students' ChatGPT Experiences Scale (SCES) was developed and validated to evaluate students' perspectives of ChatGPT as a learning tool. A total of 277 students from universities and colleges participated in the study. Through exploratory factor…
Descriptors: Student Attitudes, Artificial Intelligence, Higher Education, Foreign Countries
Tobias Alexander Bang Tretow-Fish; Bjarke Lindsø Andersen; Thilde Emilie Møller; Anne-Mette Nortvig – Journal of Learning Development in Higher Education, 2024
This article presents findings from a research project that aimed to replace physical books with an adaptive learning platform, Area9 Rhapsode™, for nursing students' class preparation. As the project expanded, it became evident that students employed diverse preparation practices, prompting an investigation into their preparation habits. This is…
Descriptors: Foreign Countries, Study Habits, Nursing Education, Student Attitudes
Na Yuan – Journal of Computer Assisted Learning, 2024
Background: In the modern music industry, AI music generators have gained particular importance. The use of AI greatly simplifies the creation of polyphony. In addition, it can increase student motivation and interest. Aims: This study focuses on the AI-assisted creation of polyphonic music. The purpose of this study is to determine how creating…
Descriptors: Artificial Intelligence, Motivation Techniques, Music Education, Technology Uses in Education
Lung-Hsiang Wong; Hyejin Park; Chee-Kit Looi – Journal of Computer Assisted Learning, 2024
Background: The emergence of ChatGPT in the education literature represents a transformative phase in educational technology research, marked by a surge in publications driven by initial research interest in new topics and media hype. While these publications highlight ChatGPT's potential in education, concerns arise regarding their quality,…
Descriptors: Bibliometrics, Artificial Intelligence, Computer Software, Citations (References)
Samuel S. Davidson – ProQuest LLC, 2024
Automated corrective feedback (ACF), in which a computer system helps language learners identify and correct errors in their writing or speech, is considered an important tool for language instruction by many researchers. Such systems allow learners to correct their own mistakes, thereby reducing teacher workload and potentially preventing issues…
Descriptors: Computer Assisted Testing, Automation, Student Evaluation, Feedback (Response)
West Virginia Department of Education, 2024
The purpose of this Executive Summary and the full report is to summarize the results and technical analyses performed with the Spring 2024 "Artificial Intelligence in Education: West Virginia Stakeholder Survey", which was used to collect stakeholder feedback related to perceptions of using artificial intelligence (AI) in education. The…
Descriptors: Artificial Intelligence, Technology Uses in Education, Stakeholders, Public Education
Kelly Mills; Pati Ruiz; Keun-woo Lee; Merijke Coenraad; Judi Fusco; Jeremy Roschelle; Josh Weisgrau – Digital Promise, 2024
To enable all who participate in educational settings to leverage AI tools for powerful learning, this paper describes a framework and strategies for educational leaders to design and implement a clear approach to AI literacy for their specific audiences (e.g. learners, teachers, or others) that are safe and effective. The first part of the paper…
Descriptors: Artificial Intelligence, Technological Literacy, Models, Technology Integration
Sierra Noakes; Alison Shell; Parker Van Nostrand; Alexis M. Murillo; Pati Ruiz; Babe Liberman – Digital Promise, 2024
This report discusses findings based on responses to a request for information (RFI) led by the Bill & Melinda Gates Foundation and Digital Promise, which received nearly 200 responses that described a variety of innovative approaches to leveraging artificial intelligence (AI) for mathematics teaching and learning. As AI becomes increasingly…
Descriptors: Artificial Intelligence, Educational Innovation, Mathematics Instruction, Technology Uses in Education
Sierra Noakes; Alison Shell; Alexis M. Murillo; Parker Van Nostrand; Pati Ruiz; Shayla Cornick; Sana Karim – Digital Promise, 2024
This report shares the learnings across 28 exploratory projects from teams across K-12 school districts, nonprofits, and nonprofit and for-profit edtech companies, leveraging AI to support numerous goals across K-12 educational settings. Through this report, we aim to highlight the early successes of AI, surface the key barriers that call for…
Descriptors: Ethics, Equal Education, Artificial Intelligence, Technology Uses in Education
Anne C. Willkomm – Intersection: A Journal at the Intersection of Assessment and Learning, 2024
Artificial intelligence is a tool that has expanded exponentially since it became available to the public. It will disrupt industry and higher education. While many faculty have concerns about the impact of AI, professional staff members are using AI at a higher rate than their faculty peers. In specific administrative areas, the use of AI will…
Descriptors: Artificial Intelligence, Multiple Literacies, Ethics, Responsibility
Pejman Ghasemi Poor Sabet; Shen Zhan; Milad Baghalzadeh Shishehgarkhaneh – Education Research and Perspectives, 2024
Artificial intelligence (AI) is transforming multiple facets of the competitive business world and education. Despite this, the full potential of AI applications within education remains unclear because of the lack of a comprehensive framework on how to use AI in developing assessments across various academic disciplines. While incorporating AI…
Descriptors: Artificial Intelligence, Test Construction, Engineering Education, Technology Uses in Education
Sri Wahyuni; Nur Hidayanto Pancoro Setyo Putro; Anwar Efendi – Advanced Education, 2024
Notwithstanding the increase in research on artificial intelligence-infused English language learning, several issues remain inadequately addressed. Thus, this paper provides a systematic review and analyzes previous studies to pinpoint fruitful knowledge gaps and outline approaches for future research directions. Two approaches, bibliometric and…
Descriptors: Artificial Intelligence, Educational Trends, Technology Uses in Education, Handheld Devices
Eric David Abrams – ProQuest LLC, 2024
ChatGPT and generative AI technologies have infiltrated our learning spaces, and, as a result, schools may be changed forever. While some educators may seek to ban the use of chatbots, motivated by a fear of the rampant plagiarism the technology might invite, I, however, write this dissertation with the intent of finding uses for AI as a…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, English Instruction
Violet A. Kulo – ProQuest LLC, 2024
The purpose of this quantitative, predictive correlational study was to investigate the relationship between leader self-efficacy, emotional intelligence, years of experience, and transformational leadership practices of physician assistant (PA) program directors. This study is important in providing a greater understanding of the internal…
Descriptors: Correlation, Leadership Styles, Self Efficacy, Emotional Intelligence
Navjot Singh – ProQuest LLC, 2024
The rapid growth of edge computing, 5G, and IoT technologies has led to a significant increase in distributed data, creating both opportunities and challenges for machine learning. Federated learning has emerged as a promising approach to enable collaborative model training across decentralized devices while not sharing user data. However,…
Descriptors: Artificial Intelligence, Cooperative Learning, Communications, Efficiency

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