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Andrea Mucci; Wendy M. Green; Lilian H. Hill – New Directions for Adult and Continuing Education, 2024
Artificial intelligence (AI) influences many aspects of modern life and has multiple applications in the delivery of healthcare. AI is designed to mimic human capabilities including pattern recognition, data analysis, and decision-making and perform tasks more efficiently. It is capable of detecting patterns in large datasets that might elude…
Descriptors: Artificial Intelligence, Allied Health Occupations, Health Services, Patient Education
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Ciampa, Katia; Wolfe, Zora M.; Bronstein, Briana – Journal of Adolescent & Adult Literacy, 2023
As artificial intelligence (AI) technologies continue to advance, their integration into secondary and postsecondary education offers a multitude of opportunities for adolescent and adult learners. In this article, we delve into the advantages of integrating AI into literacy education, emphasizing its capacity to enhance writing skills, provide…
Descriptors: Digital Literacy, Artificial Intelligence, Adult Education, Literacy Education
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Sarah Cacicio; Rachel Riggs – Adult Literacy Education, 2023
Generative AI (GenAI) refers to the production of entirely new creative works, such as text, pictures, music, or poetry, in response to simple prompts (Lanxon et al., 2023). Some view GenAI as a disruption to our education system, pointing to biases in the training data, concerns about misleading or inaccurate information, challenges to educators,…
Descriptors: Adult Education, Artificial Intelligence, Educational Technology, Adult Educators
OECD Publishing, 2019
Did you ever wonder whether education has a role to play in preparing our societies for an age of artificial intelligence? Or what the impact of climate change might be on our schools, families and communities? Trends Shaping Education examines major economic, political, social and technological trends affecting education. While the trends are…
Descriptors: Educational Trends, Trend Analysis, Educational Change, Artificial Intelligence
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Allwinkle, Sam; Cruickshank, Peter – Journal of Urban Technology, 2011
The following offers an overview of what it means for cities to be "smart." It draws the supporting definitions and critical insights into smart cities from a series of papers presented at the 2009 Trans-national Conference on Creating Smart(er) Cities. What the papers all have in common is their desire to overcome the all too often…
Descriptors: City Government, Influence of Technology, Urban Environment, Social Capital
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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Johnson, W. Lewis – International Journal of Artificial Intelligence in Education, 2010
The Tactical Language and Culture Training System (TLCTS) helps learners acquire basic communicative skills in foreign languages and cultures. Learners acquire communication skills through a combination of interactive lessons and serious games. Artificial intelligence plays multiple roles in this learning environment: to process the learner's…
Descriptors: Second Language Learning, Educational Games, Intelligent Tutoring Systems, Artificial Intelligence
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
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Graesser, Arthur C.; Jeon, Moongee; Dufty, David – Discourse Processes: A Multidisciplinary Journal, 2008
During the last decade, interdisciplinary researchers have developed technologies with animated pedagogical agents that interact with the student in language and other communication channels (such as facial expressions and gestures). These pedagogical agents model good learning strategies and coach the students in actively constructing knowledge…
Descriptors: Intelligent Tutoring Systems, Dialogs (Language), Interactive Video, Animation
Durlach, Paula J., Ed; Lesgold, Alan M., Ed. – Cambridge University Press, 2012
This edited volume provides an overview of the latest advancements in adaptive training technology. Intelligent tutoring has been deployed for well-defined and relatively static educational domains such as algebra and geometry. However, this adaptive approach to computer-based training has yet to come into wider usage for domains that are less…
Descriptors: Expertise, Educational Strategies, Semantics, Intelligent Tutoring Systems
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Maughan, George R. – Journal of Technology Studies, 2005
Electronic performance support systems (EPSS) can provide alternative learning opportunities to supplement traditional classroom or training strategies. Today's students may benefit from educational settings and strategies that they will use in the future. In using EPSS to nurture the development of technological literacy, workers and students can…
Descriptors: Training Methods, Technological Literacy, Performance Technology, Technology Education
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Dugdale, Julie; Pallamin, Nico; Pavard, Bernard – Simulation & Gaming, 2006
Training firefighters is a difficult process in which emotions and nonverbal behaviors play an important role. The authors have developed a mixed reality environment for training a small group of firefighters, which takes into account these aspects. The assessment of the environment was made up of three phases: assessing the virtual agents to…
Descriptors: Foreign Countries, Decision Making, Training Methods, Experiential Learning
Jonassen, David H., Ed.; Land, Susan M., Ed. – Routledge, Taylor & Francis Group, 1999
"Theoretical Foundations of Learning Environments" describes the most contemporary psychological and pedagogical theories that are foundations for the conception and design of open-ended learning environments and new applications of educational technologies. In the past decade, the cognitive revolution of the 60s and 70s has been…
Descriptors: Communities of Practice, Constructivism (Learning), Instructional Design, Mathematics Education