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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
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
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
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
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
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
Akgunduz, Devrim; Topalsan, Aysegul Kinik; Turk, Zeynep – Journal of Turkish Science Education, 2022
This study aimed to determine the perceptions of academics from different faculties and experts from non-governmental organizations, and Research & Development (R&D) centers of the concepts of STEM, innovation, entrepreneurship, industry 4.0, robotics, coding, maker, artificial intelligence, and their reflections on the daily life. In…
Descriptors: College Faculty, Teacher Attitudes, STEM Education, Entrepreneurship
Harun Serpil; Eren Kesim – Open Praxis, 2024
This study aims to perform a descriptive analysis of the websites of public and foundation universities in Türkiye to reveal the current positioning context of their units in relation to artificial intelligence (AI) ecosystems. The study was designed using a holistic multiple case study method, in which the dimensions specified in the…
Descriptors: Artificial Intelligence, Higher Education, Technology Uses in Education, Global Approach
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
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
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
Simkins, Michael – Technology & Learning, 2008
Robots that can learn new behaviors. Robots that can reproduce themselves. Science fiction? Not anymore. Roboticists at Cornell's Computational Synthesis Lab have developed just such engineered creatures that offer interesting implications for education. The team, headed by Hod Lipson, was intrigued by the question, "How can you get robots to be…
Descriptors: Robotics, Research and Development, Technological Advancement, Scientific Research
Mangina, E.; Kilbride, J. – Computers & Education, 2008
User modeling has been found to enhance the effectiveness and/or usability of software systems through the representation of certain properties of a particular user. This paper presents the research and the results of the development of a user modeling system for the implementation of student models within e-learning environments, utilizing vector…
Descriptors: Computer Software, Computer Assisted Instruction, Computer Interfaces, Models
Schulze, Mathias; Penner, Nikolai – Computer Assisted Language Learning, 2008
The choice of grammatical framework in ICALL--the branch of CALL that applies artificial intelligence techniques--has important implications for both research and development. Matthews (1993) argued for one "that potentially meshes with SLA (second language acquisition)" (p. 5) and sketches three criteria that facilitate the crucial…
Descriptors: Research and Development, Grammar, Artificial Intelligence, Learning Processes