NotesFAQContact Us
Collection
Advanced
Search Tips
Location
West Virginia1
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 10 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Lynn Aaron; Santina Abbate; Nicola Marae Allain; Bridget Almas; Brian Fallon; Dana Gavin; C. Gordon; Margarete Jadamec; Adele Merlino; Laura Pierie; Gina Solano; David Wolf – SUNY Press, 2024
In this "Optimizing AI in Higher Education: SUNY FACT[superscript 2] Guide, Second Edition," you will find updated information to reflect the changing landscape of generative AI technology. We offer practical suggestions for how to help educators and students achieve AI literacy and find the right methods of using or eschewing generative…
Descriptors: Higher Education, Artificial Intelligence, Open Educational Resources, Technology Uses in Education
West Virginia Department of Education, 2024
This guidance provides support for the use of artificial intelligence (AI) across various roles in West Virginia PK-12 schools, catering to the needs of superintendents, district staff, educators, and support staff. The guidance intends to focus on effectively and safely integrating AI, especially generative AI technologies, in classroom…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Role
Tracey Tokuhama-Espinosa; Jovi R. S. Nazareno; Christopher Rappleye – Teachers College Press, 2024
Writing is the highest form of thinking, as evidenced by neuroimaging that shows how more neural networks are activated simultaneously during writing than during any other cognitive activity. This book will help teachers understand how the brain learns to write by unveiling 15 stages of thinking that underpin the writing process, along with…
Descriptors: Neurosciences, Writing Assignments, Writing Processes, Feedback (Response)
Office of Educational Technology, US Department of Education, 2024
The U.S. Department of Education is committed to supporting innovative advances in educational technology to improve teaching and learning across the nation's education systems and to support educators as they incorporate emerging technology into their learning communities. Artificial Intelligence (AI) in education is a complex and rapidly…
Descriptors: Equal Education, Artificial Intelligence, Computer Software, Technology Integration
Peer reviewed Peer reviewed
Duchastel, Philippe – Instructional Science, 1992
Examines the processes involved in building instructional systems that are based on artificial intelligence and hypermedia technologies. Traditional instructional systems design methodology is discussed; design issues including system architecture and learning strategies are addressed; and a new methodology for building knowledge-based…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Software Development, Computer System Design
Ruyle, Kim E. – Performance and Instruction, 1993
Discusses knowledge engineering, its relationship to artificial intelligence, and possible applications to developing expert systems, job aids, and technical training. The educational background of knowledge engineers is considered; the role of subject matter experts is described; and examples of flow charts, lists, and pictorial representations…
Descriptors: Artificial Intelligence, Educational Background, Flow Charts, Instructional Design
Harmon, Paul – Performance and Instruction, 1984
Considers three powerful techniques--heuristics, context trees, and search via backward chaining--that a knowledge engineer might employ to develop an expert system to automate performance engineering, i.e., the branch of instructional technology that focuses on the problems of business and industry. (MBR)
Descriptors: Algorithms, Artificial Intelligence, Computer Software, Educational Technology
Spensley, Fiona; Elsom-Cook, Mark – 1989
This document outlines the strategies that are used for teaching and assessment in Dominie, an intelligent tutoring system designed to enable the user to operate a computer interface independently. Eight interaction modes are described in detail: four teaching strategies (cognitive apprenticeship, successive refinement, discovery learning, and…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer System Design, Educational Strategies
Bueno, Julian L. – 1992
This report on machine translation contains a brief history of the field; a description of the processes involved; a discussion of systems currently in use, including three software packages on the market (Teaching Assistant, Translate, and Globalink); reflections on implications for teaching; observations of results obtained when elements of…
Descriptors: Applied Linguistics, Artificial Intelligence, Classroom Techniques, Computational Linguistics
Cerri, Stefano; Breuker, Joost – Studies in Language Learning, 1981
Characteristics of DART (Didactic Augmented Recursive Transition), an ATN-based system for writing intelligent computer assisted instruction (ICAI) programs that is available on the PLATO system are described. DART allows writing programs in an ATN dialect, compiling them in machine code for the PLATO system, and executing them as if the original…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Educational Diagnosis, Error Analysis (Language)