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Rebeckah K. Fussell; Emily M. Stump; N. G. Holmes – Physical Review Physics Education Research, 2024
Physics education researchers are interested in using the tools of machine learning and natural language processing to make quantitative claims from natural language and text data, such as open-ended responses to survey questions. The aspiration is that this form of machine coding may be more efficient and consistent than human coding, allowing…
Descriptors: Physics, Educational Researchers, Artificial Intelligence, Natural Language Processing
Tiffany Barnes; Sarah Burriss; Joshua Danish; Samantha Finkelstein; Megan Humburg; Ally Limke; Ole Molvig; Heidi Reichert – Community for Advancing Discovery Research in Education (CADRE), 2024
Research and development work in artificial intelligence in education (AIED) is wide ranging and rapidly growing to support all areas of science, technology, engineering, and mathematics (STEM) teaching and learning. At the risk of hyperbole, this is potentially the most fundamentally game-changing technology for education to emerge since the…
Descriptors: Ethics, Artificial Intelligence, Educational Research, Technology Uses in Education
Umair Ali Khan; Janne Kauttonen; Lili Aunimo; Ari Alamäki – Journal of Information Technology Education: Research, 2024
Aim/Purpose: The purpose of this paper is to address the challenges posed by disinformation in an educational context. The paper aims to review existing information assessment techniques, highlight their limitations, and propose a conceptual design for a multimodal, explainable information assessment system for higher education. The ultimate goal…
Descriptors: Artificial Intelligence, Higher Education, Trust (Psychology), Barriers
Broumi, Said, Ed. – IGI Global, 2023
Fuzzy sets have experienced multiple expansions since their conception to enhance their capacity to convey complex information. Intuitionistic fuzzy sets, image fuzzy sets, q-rung orthopair fuzzy sets, and neutrosophic sets are a few of these extensions. Researchers and academics have acquired a lot of information about their theories and methods…
Descriptors: Theories, Mathematical Logic, Intuition, Decision Making
Bannister-Tyrrell, Michelle – Australasian Journal of Gifted Education, 2017
Gagne's (1985, 2004, 2008, 2010, 2013) Differentiated Model of Giftedness and Talent (DMGT) has evolved in response to findings from the research in cognitive and developmental psychology and neuroscience. As the DMGT is commonly used in Australia, it is important that the model reflects our understanding of intelligence, what high potential is…
Descriptors: Foreign Countries, Models, Academically Gifted, Talent
Hali, Nur Ihsan – International Journal of Education and Literacy Studies, 2017
This article is inspired by Howard Gardner's concept of linguistic intelligence and also from some authors' previous writings. All of them became the authors' reference in developing ideas on constructing a literary learning model based on linguistic intelligence. The writing of this article is not done by collecting data empirically, but by…
Descriptors: Verbal Ability, Teaching Methods, Literature, Outcomes of Education
Azevedo, Ana, Ed.; Azevedo, José, Ed. – IGI Global, 2019
E-assessments of students profoundly influence their motivation and play a key role in the educational process. Adapting assessment techniques to current technological advancements allows for effective pedagogical practices, learning processes, and student engagement. The "Handbook of Research on E-Assessment in Higher Education"…
Descriptors: Higher Education, Computer Assisted Testing, Multiple Choice Tests, Guides

Clancey, William J. – 1986
Artificial Intelligence researchers and cognitive scientists commonly believe that thinking involves manipulating representations. Thinking involves search, inference, and making choices. This is how we model reasoning and what goes on in the brain is similar. Winograd and Flores present a radically different view, claiming that our knowledge is…
Descriptors: Artificial Intelligence, Behavior Theories, Book Reviews, Cognitive Processes
Detterman, Douglas K.; And Others – American Journal on Mental Retardation, 1992
A modal model of information processing was defined, and nine tasks that could be completed by persons with mental retardation were developed to operationalize the model. Results showed that individual differences in higher mental processes are highly dependent on basic cognitive abilities and can be predicted from them. (Author/JDD)
Descriptors: Cognitive Processes, Cognitive Tests, Individual Differences, Intelligence
Detterman, Douglas K. – American Journal on Mental Retardation, 1992
This article responds to commentaries (EC 604 996-998) on a paper by Douglas Detterman and others (EC 604 995), which developed and tested a modal model, with young adults with and without mental retardation as subjects, to assess basic cognitive abilities in relation to cognitive deficits. (JDD)
Descriptors: Cognitive Processes, Cognitive Tests, Intelligence, Intelligence Tests

Cole, Peter G. – International Journal of Disability, Development and Education, 1993
This paper presents a theoretical model illustrating L. Siegel's revisionist conceptualization of learning disabilities and then presents an alternative underachievement model. The paper argues that the alternative model applies standard regression procedures which would lead to a more appropriate definition of learning disabilities and applies…
Descriptors: Definitions, Elementary Secondary Education, Intelligence, Intelligence Quotient

Gayeski, Diane M. – Journal of Educational Technology Systems, 1985
Presents a model which integrates design and hardware attributes for both videotape and videodisc technologies and incorporates a wider range of equipment and presentation/testing strategies than taxonomies dealing with hardware only. Model is designed to aid potential designers/users in categorizing and selecting appropriate hardware/software…
Descriptors: Artificial Intelligence, Classification, Instructional Design, Interaction
Dweck, Carol S. – 2000
Based on extensive research with children and young adults, this book examines adaptive and maladaptive cognitive-motivational patterns and shows how these patterns originate in people's self theories; their consequences for one's achievement, social relationships, and emotional well-being; their consequences for society; and the experiences that…
Descriptors: Achievement, Child Development, Children, Cognitive Development
Sanford, David L.; Roach, J. W. – 1986
This paper proposes the use of a rule-based computer programming language as a standard for the expression of rules, arguing that the adoption of a standard would enable researchers to communicate about rules in a consistent and significant way. Focusing on the formal equivalence of artificial intelligence (AI) programming to different types of…
Descriptors: Artificial Intelligence, Cognitive Processes, Communication Research, Communication (Thought Transfer)
Cremmins, Edward T. – Bulletin of the American Society for Information Science, 1984
Recommends use of entries from the information retrieval diary of Ted Crump, expert technical translator at the National Institute of Health, in the construction of computer models showing how expert translators solve problems of ambiguity in language. Expert and inexpert translation systems, eponyms, abbreviations, and alphabetic solutions are…
Descriptors: Artificial Intelligence, Cognitive Processes, Computer Oriented Programs, Diaries