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Vassa Grichko; Betsy Schamber; Kari Termansen; David Barker; Shanice Hall; David Swank; Erin Lehmann – Impacting Education: Journal on Transforming Professional Practice, 2025
Universal guidelines for AI's use in the context of higher education remains unestablished. Despite this, doctoral students utilized AI to help in forming research ideas and with editing manuscripts. Thereby, the socialization of doctoral students into ethical AI use became imperative. This action research study had faculty and EdD students test…
Descriptors: Artificial Intelligence, Ethics, Guidelines, Doctoral Dissertations
Nathan Tymann – ProQuest LLC, 2023
The purpose of this qualitative descriptive study was to investigate how leaders described their experiences with team collaboration, organizational knowledge creation, and organizational culture when using Artificial Intelligence in companies in the Western United States. Nonaka and Takeuchi's SECI Knowledge Spiral model was used to underpin this…
Descriptors: Leaders, Administration, Experience, Teamwork
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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
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Pham, Son T. H.; Sampson, Pauline M. – Journal of Computer Assisted Learning, 2022
Background: In fact, most schools around the world are not well equipped to have discussions and keep current on the expansion of artificial intelligence (AI) in many aspects of society and economy. They either ignore this conversation, or simply criticize technology, but these resistances are not stopping wide spread of various types of AI…
Descriptors: Artificial Intelligence, Preservice Teacher Education, Educational Change, Technology Integration
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Songhee Han; Min Liu – Educational Technology & Society, 2024
This paper describes our equity-driven development of a chatbot curriculum for a journalism professional development center's massive open online courses (MOOCs). A curriculum refers to entire student experiences that occur during the whole learning process in this context. We used a sequential and iterative development process with four phases to…
Descriptors: Computer Software, Artificial Intelligence, MOOCs, Journalism
Pautz Stephenson, Stefani; Banks, Rebecca; Coenraad, Merijke – Digital Promise, 2022
A new participatory research model, Research-Practice-Industry Partnerships (RPIP), presents a unique value proposition. Design processes have typically placed professional designers, not the end users, at the center of the work. RPIPs create an intentional feedback loop that transforms the knowledge, action, or goals of all involved parties…
Descriptors: Research and Development, Theory Practice Relationship, Educational Technology, School Business Relationship
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Gulson, Kalervo N.; Webb, P. Taylor – Discourse: Studies in the Cultural Politics of Education, 2023
Research on Artificial Intelligence, especially in the field of machine learning, has exploded in the twenty-first century. AI research in universities has long been funded by a combination of government and corporate sources. The funding of AI research in the contemporary university includes technology companies as both funders and generators of…
Descriptors: Foreign Countries, Artificial Intelligence, Data Science, Universities
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Fangzhou Jin; Xiangmei Peng; Lanfang Sun; Zicong Song; Keyi Zhou; Chin-Hsi Lin – Journal of Computer Assisted Learning, 2025
Background: There are various challenges to teachers' use of generative artificial intelligence (GenAI) for professional learning. Although GenAI is expected to play a transformative role in teachers' learning, its impact on them remains subtle. Objectives: Guided by community of practice, this paper examines the integration of GenAI into an…
Descriptors: Artificial Intelligence, Communities of Practice, Technology Uses in Education, Experienced Teachers
Christopher Garrido Lechuga – ProQuest LLC, 2024
Adaptive tutoring systems often model student knowledge in ways that break away from a "one size fits all" approach to learning. Nonetheless, the strengths of these systems can often be limited, as knowledge representations are not easily interpreted by teachers, which make these systems difficult to integrate into pedagogical practices.…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Mathematics Skills, Educational Innovation
Office of Educational Technology, US Department of Education, 2023
The U.S. Department of Education (Department) is committed to supporting the use of technology to improve teaching and learning and to support innovation throughout educational systems. This report addresses the clear need for sharing knowledge and developing policies for "Artificial Intelligence," a rapidly advancing class of…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Educational Policy
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Williamson, Ben; Pykett, Jessica; Nemorin, Selena – Discourse: Studies in the Cultural Politics of Education, 2018
Recently, technologies based on neuroscientific insights into brain function and structure have been promoted for application in education. The novel practices and environments produced by these technologies require new forms of "biosocial" analysis to unpack their implications for education, learning and governance. This article…
Descriptors: Brain, Neurosciences, Research and Development, Educational Research
Executive Office of the President, 2016
Advances in Artificial Intelligence (AI) technology have opened up new markets and new opportunities for progress in critical areas such as health, education, energy, and the environment. In recent years, machines have surpassed humans in the performance of certain specific tasks, such as some aspects of image recognition. Experts forecast that…
Descriptors: Artificial Intelligence, Federal Government, Federal Regulation, Research and Development
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Yang, Yang; Hu, Jun; Lv, Yingchun; Zhang, Mu – Higher Education Studies, 2013
As the tourism industry has gradually become the strategic mainstay industry of the national economy, the scope of the tourism discipline has developed rigorously. This paper makes a predictive study on the development of the scope of Guangdong provincial tourism discipline based on the artificial neural network BP model in order to find out how…
Descriptors: Tourism, Foreign Countries, Industry, Artificial Intelligence
Blumenstyk, Goldie – Chronicle of Higher Education, 2009
Sarah L. Kieweg had her own nice surprise when the University of Central Florida contacted her. She understood quite a bit about her father's pioneering work on artificial intelligence in the 1990s. Still, in 2006, eight years after he died of a heart attack, at age 50, the call from the university came out of the blue: some of James R. Driscoll's…
Descriptors: Intellectual Property, Technology Transfer, Artificial Intelligence, College Faculty
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Welham, David – British Journal of Educational Technology, 2008
Since the beginning of the use of technology to support training and learning there has always been the belief that such new technologies would be able to add value either by reducing costs or increasing effectiveness. The 1980s and early 1990s were a period of enormous optimism as to the promise that such technology could bring. The governments…
Descriptors: Artificial Intelligence, Educational Technology, Research and Development, Foreign Countries
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