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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
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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
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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
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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
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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Shuling Yang; Carin Appleget – Journal of Digital Learning in Teacher Education, 2024
Guided by the Technology Acceptance Model, the researchers designed a Google Form survey to explore elementary preservice teachers' (PSTs') perceptions of using Generative AI (GenAI) as part of an authentic literacy methods course activity. Following the activity, responses to a qualitative survey were analyzed to learn about PSTs' experience of…
Descriptors: Artificial Intelligence, Educational Technology, Preservice Teachers, Elementary School Teachers
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David R. Firth; Mason Derendinger; Jason Triche – Information Systems Education Journal, 2024
In this paper we describe a framework for teaching students when they should, or should not use generative AI such as ChatGPT. Generative AI has created a fundamental shift in how students can complete their class assignments, and other tasks such as building resumes and creating cover letters, and we believe it is imperative that we teach…
Descriptors: Cheating, Artificial Intelligence, Man Machine Systems, Natural Language Processing
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Hsin-Yi Liang; Gwo-Jen Hwang; Tien-Yu Hsu; Jen-Yuan Yeh – British Journal of Educational Technology, 2024
Recently, alternate reality games (ARGs) have been applied in museum learning to encourage learners' active engagement through playful problem-solving activities. However, most learners have insufficient prior knowledge and metacognitive skills to complete the learning tasks in such games. To support learning with ARGs, there is a need to provide…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Simulation, Game Based Learning
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Yerin Kwak; Zachary A. Pardos – British Journal of Educational Technology, 2024
The adoption of large language models (LLMs) in education holds much promise. However, like many technological innovations before them, adoption and access can often be inequitable from the outset, creating more divides than they bridge. In this paper, we explore the magnitude of the country and language divide in the leading open-source and…
Descriptors: Foreign Countries, Multilingualism, Instructional Materials, Access to Education
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