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Chris North; David Hills; Pat Maher; Jelena Farkic; Vinicius Zeilmann; Sue Waite; Takako Takano; Heather Prince; Kirsti Pedersen Gurholt; Nkatha Muthomi; Daniel Njenga; Te Hurinui Karaka-Clarke; Susan Houge Mackenzie; Graham French – Journal of Adventure Education and Outdoor Learning, 2024
This is a composite article which brings together the international perspectives of the editorial board of the Journal of Adventure Education and Outdoor Learning to explore the impacts of artificial intelligence (AI) on the field of adventure education and outdoor learning (AE/OL). Building on the AE/OL profession's response to the impacts of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Adventure Education, Outdoor Education
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Boutilier, Justin J.; Chan, Timothy C. Y. – INFORMS Transactions on Education, 2023
Artificial intelligence (AI) and operations research (OR) have long been intertwined because of their synergistic relationship. Given the increasing popularity of AI and machine learning in particular, we face growing demand for educational offerings in this area from our students. This paper describes two courses that introduce machine learning…
Descriptors: Artificial Intelligence, Operations Research, Undergraduate Students, Engineering Education
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Louis Volante; Christopher DeLuca; Nicole Barnes; Menucha Birenbaum; Megan Kimber; Martha Koch; Anne Looney; Jenny Poskitt; Kari Smith; Claire Wyatt-Smith – Policy Futures in Education, 2025
This paper discusses the evolution of assessment for learning (AfL) across the globe with particular attention given to Western educational jurisdictions. Scholars from Australia, Canada, Ireland, Israel, New Zealand, Norway, and the United States discuss prominent assessment reforms within their respective countries over the last decade.…
Descriptors: Educational Policy, Educational Practices, Pandemics, COVID-19
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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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Holowka, Peter – International Association for Development of the Information Society, 2020
COVID-19 presented a challenge to the traditional methods of teaching programming and robotics in a secondary school environment. When campuses were closed around the world in the spring of 2020, it was not possible for students to access the computer labs nor the robotics equipment that was traditionally used to facilitate the instruction of…
Descriptors: Robotics, COVID-19, Pandemics, Teaching Methods
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Welch, Vivian; Mathew, Christine; Marins, Luciana M.; Ghogomu, Elizabeth T.; Dowling, Sierra; Abdisalam, Salman; Madani, Mohamad T.; Murphy, Emma; Kebedom, Kisanet; Ogborogu, Jennifer; Gallagher-Mackay, Kelly – Campbell Systematic Reviews, 2020
The Organization for Economic Co-operation and Development (OECD) estimated that approximately 9% of current jobs within OECD member states are threatened with automation and digitalization--all significant successes and advances in artificial intelligence, robotics, and computer science. With such global changes and forecasts, in the labor…
Descriptors: Skill Development, International Organizations, Automation, Unemployment
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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
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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
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Duchastel, Philip – Journal of Educational Technology Systems, 1989
Describes the design and development of an instructional game, GEO, in which the user learns elements of Canadian geography. The use of knowledge-based artificial intelligence techniques is discussed, the use of HyperCard in the design of GEO is explained, and future directions are suggested. (15 references) (Author/LRW)
Descriptors: Artificial Intelligence, Computer Games, Computer System Design, Educational Games
Gecsei, J.; Frasson, C. – 1994
Safari is a cooperative project involving four Quebec universities, two industrial partners (Virtual Prototypes, Inc., providing the VAPS software package, and Novasys, Inc., a consulting firm specializing in artificial intelligence and training), and government. VAPS (Virtual Applications Prototyping System) is a commercial interface-building and…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Simulation, Foreign Countries