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David R. Firth; Adam Gonzales; Michelle Louch; Bryan Hammer – Information Systems Education Journal, 2025
ChatGPT is having an impact on students, and information systems (IS) and computing academic professionals alike. Our goal for this paper is to help faculty and students know the conditions in which generative AI such as ChatGPT should or should not be used. To that end, we describe the development of a 2x2 matrix. On the horizontal axis we have…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Information Systems
Amitabh Verma – Journal of Educators Online, 2025
This study provides a thorough bibliometric analysis of the research landscape concerning the application of soft computing in higher education. This study collects 5,140 pieces including books, book chapters, journal articles published in respected journals, and conference papers presented at notable international conferences that were published…
Descriptors: Bibliometrics, Computer Uses in Education, Computer Science, Higher Education
Sam O'Neill; David Mulgrew; Ovidiu Bagdasar – Open Education Studies, 2025
Large language models (LLMs) hold great promise for enhancing teaching and learning in higher education, yet educators and administrators still lack practical examples to guide their adoption. This article presents insights and use cases from the integration of LLMs into a first-year undergraduate computer science cohort. By employing LLMs as…
Descriptors: Artificial Intelligence, Natural Language Processing, Higher Education, College Faculty
Loeckx, Johan – International Review of Research in Open and Distributed Learning, 2016
The opinions on MOOCs go to extremes, covering a wide variety of topics, affecting economy, pedagogy, and computer science which makes it hard to keep oversight. Despite the many excellent research reports and articles, an overview of the bigger picture, providing a holistic qualitative summary of the different opinions, is still very welcome.…
Descriptors: Online Courses, Computer Science, Teaching Methods, Social Environment
Peer reviewedKugel, Peter – Journal of Computers in Mathematics and Science Teaching, 1985
The controversy over whether or not machines can think has attracted the attention of philosophers, psychologists, neurologists, computer scientists, and writers of science fiction. Various topics and issues related to this controversy are discussed, including turing machines and the relationship between computer history and mathematical…
Descriptors: Artificial Intelligence, Computer Science, Computers, Higher Education
Peer reviewedWaldrop, M. Mitchell – Science, 1984
Discusses several areas of artificial intelligence and research in this area, focusing on natural language understanding. Indicates that language is more than words, that "meaning" depends on context, and that "understanding" requires a vast body of knowledge about the world. (JN)
Descriptors: Artificial Intelligence, Comprehension, Computer Science, Higher Education
Wheeler, David L. – Chronicle of Higher Education, 1988
Scientists feel that progress in artificial intelligence and the availability of thousands of experimental results make this the right time to build and test theories on how people think and learn, using the computer to model minds. (MSE)
Descriptors: Artificial Intelligence, Computer Science, Epistemology, Higher Education
Peer reviewedKugel, Peter – Journal of Computers in Mathematics and Science Teaching, 1985
The nature of thinking is the subject of this second part in a series which is examining various topics and issues related to the controversy of whether or not computers can think. Suggests that intelligence is the ability to develop general ideas and not the ability to apply those ideas. (JN)
Descriptors: Artificial Intelligence, Computer Science, Computers, Higher Education
National Science Foundation, Washington, DC. Directorate for Mathematical and Physical Sciences. – 1984
Provided in this report are summaries of grants awarded by the National Science Foundation Division of Computer Research in fiscal year 1984. Similar areas of research are grouped (for the purposes of this report only) into these major categories: (1) computational mathematics; (2) computer systems design; (3) intelligent systems; (4) software…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Computer Science, Computers
Adiga, Sadashiv – Science Software Quarterly, 1984
Discusses: (1) the architecture of expert systems; (2) features that distinguish expert systems from conventional programs; (3) conditions necessary to select a particular application for the development of successful expert systems; (4) issues to be resolved when building expert systems; and (5) limitations. Examples of selected expert systems…
Descriptors: Artificial Intelligence, Communicable Diseases, Computer Science, Computer Software
Edelson, Edward – Mosaic, 1984
Computers, chip technologies, networking, and artificial intelligence all need vast improvement just to take their place as tools for building new computers. Research efforts, progress, and needs in each of these areas are addressed. (JN)
Descriptors: Artificial Intelligence, Computer Science, Computer Software, Computers
Peer reviewedWaldrop, M. Mitchell – Science, 1984
Discusses various aspects of artificial intelligence, focusing on three interrelated issues: (1) representation of knowledge, which is roughly the machine equivalent of human memory; (2) control and use of knowledge, which corresponds to human abilities in problem solving and planning; and (3) the acquisition of knowledge, or what humans call…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Computer Science, Higher Education
La Brecque, Mort – Mosaic, 1984
To break the bottleneck inherent in today's linear computer architectures, parallel schemes (which allow computers to perform multiple tasks at one time) are being devised. Several of these schemes are described. Dataflow devices, parallel number-crunchers, programing languages, and a device based on a neurological model are among the areas…
Descriptors: Artificial Intelligence, Cognitive Processes, Computer Science, Computers
Peer reviewedBacon, Glenn – Science, 1982
Distinguishes between computer hardware and software and discusses status of software, application development productivity, software production, and research directions. (JN)
Descriptors: Artificial Intelligence, College Science, Computer Oriented Programs, Computer Programs
Levinson, Stephen E.; Liberman, Mark Y. – Scientific American, 1981
Speech recognition by computers is discussed, including methods of recognizing isolated words and procedures for analyzing connected speech. Describes Bell Laboratories' speech recognition system which attempts to combine major elements of human communication into a single operating unit. (DS)
Descriptors: Acoustic Phonetics, Artificial Intelligence, Artificial Speech, Computer Science
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