Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 3 |
Descriptor
Source
Collegiate Microcomputer | 1 |
Decision Sciences Journal of… | 1 |
Information Processing and… | 1 |
International Journal of… | 1 |
Journal of the Learning… | 1 |
Author
Athappilly, Kuriakose K. | 1 |
Bauer, Malcolm | 1 |
Cross, George R. | 1 |
Foltz, Peter | 1 |
Gardner, Howard | 1 |
Goldin, Ilya | 1 |
Goldstein, Ira P. | 1 |
Hayes-Roth, Frederick | 1 |
Liebowitz, Jay | 1 |
Miller, Mark L. | 1 |
Narciss, Susanne | 1 |
More ▼ |
Publication Type
Reports - Descriptive | 10 |
Journal Articles | 5 |
Opinion Papers | 2 |
Speeches/Meeting Papers | 1 |
Education Level
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Practitioners | 2 |
Researchers | 1 |
Teachers | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Shayan Doroudi – Journal of the Learning Sciences, 2023
When the Learning Sciences emerged in 1991, there was an ethos of studying learning in humans and machines in conjunction with one another. This ethos reflected three decades of prior work on the interdisciplinary study of learning; however, in the three decades since the emergence of the Learning Sciences, it seems to have largely disappeared. I…
Descriptors: Interdisciplinary Approach, Educational Research, Man Machine Systems, Learning Processes
Goldin, Ilya; Narciss, Susanne; Foltz, Peter; Bauer, Malcolm – International Journal of Artificial Intelligence in Education, 2017
Formative feedback is well known as a key factor in influencing learning. Modern interactive learning environments provide a broad range of ways to provide feedback to students as well as new tools to understand feedback and its relation to various learning outcomes. This issue focuses on the role of formative feedback through a lens of how…
Descriptors: Formative Evaluation, Feedback (Response), Interaction, Technology Uses in Education
Rienzo, Thomas F.; Athappilly, Kuriakose K. – Decision Sciences Journal of Innovative Education, 2012
Business students taking data mining classes are often introduced to artificial neural networks (ANN) through point and click navigation exercises in application software. Even if correct outcomes are obtained, students frequently do not obtain a thorough understanding of ANN processes. This spreadsheet model was created to illuminate the roles of…
Descriptors: Spreadsheets, Artificial Intelligence, Teaching Methods, Educational Practices

Cross, George R.; deBessonet, Cary G. – Information Processing and Management, 1985
Describes traditional legal information retrieval systems--Juris, Lexis, Westlaw--and several new rule-based, knowledge-based, legal knowledge reasoning, and analytical legal information systems--Waterman and Peterson's Legal Decisionmaking System, Hafner's Legal Information Retrieval System, McCarty's TAXMAN, and the deBessonet representation of…
Descriptors: Artificial Intelligence, Design, Development, Information Processing
Hayes-Roth, Frederick; And Others – 1978
A research plan for identifying and acting upon constraints that impede the development of knowledge-based intelligent systems is described. The two primary problems identified are knowledge programming, the task of which is to create an intelligent system that does what an expert says it should, and learning, the problem requiring the criticizing…
Descriptors: Artificial Intelligence, Automation, Computer Oriented Programs, Cybernetics
Liebowitz, Jay – Collegiate Microcomputer, 1988
Discussion of the possibilities of introducing artificial intelligence (AI) into the undergraduate curriculum highlights the introduction of AI in an introduction to information processing course for business students at George Washington University. Topics discussed include robotics, expert systems prototyping in class, and the interdisciplinary…
Descriptors: Artificial Intelligence, Business Education, Curriculum Development, Higher Education
Miller, Mark L.; Goldstein, Ira P. – 1977
The SPADE theory, which uses linguistic formalisms to model the planning and debugging processes of computer programming, was simultaneously developed and tested in three separate contexts--computer uses in education, automatic programming (a traditional artificial intelligence arena), and protocol analysis (the domain of information processing…
Descriptors: Artificial Intelligence, Computational Linguistics, Computer Oriented Programs, Design
Ohio State Univ., Columbus. Dept. of Computer and Information Science. – 1978
This annual report of the Department of Computer and Information Science at Ohio State University for July 1977-June 1978 covers the department's organizational structure, objectives, highlights of department activities (such as grants and faculty appointments), instructional programs/course offerings, and facilities. In the second half of the…
Descriptors: Abstracts, Annual Reports, Artificial Intelligence, Computer Science
Snyder, Robin M. – 1996
Motivated by the brain, neural networks are a right-brained approach to artificial intelligence that is used to recognize patterns based on previous training. In practice, one would not program an expert system to recognize a pattern and one would not train a neural network to make decisions from rules; but one could combine the best features of…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Computer System Design, Expert Systems
Gardner, Howard – 1985
A cadre of thinkers called cognitive scientists has been investigating some of the same issues that first possessed the Greeks. As did the Greeks, they seek to understand what is known, ponder the sources of knowledge, conjecture about the various vehicles of knowledge, reflect on language, and speculate on the nature of the activity of knowing.…
Descriptors: Anthropology, Artificial Intelligence, Cognitive Psychology, College Science