Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 2 |
Descriptor
Artificial Intelligence | 7 |
Models | 7 |
Systems Approach | 7 |
Designers | 3 |
Instructional Design | 3 |
Problem Solving | 3 |
Building Design | 2 |
Computer Science | 2 |
Decision Making | 2 |
Information Systems | 2 |
Abstracting | 1 |
More ▼ |
Source
British Journal of… | 1 |
Educational Technology &… | 1 |
IEEE Transactions on Education | 1 |
Journal of Information Science | 1 |
Author
Publication Type
Journal Articles | 4 |
Information Analyses | 3 |
Reports - Descriptive | 3 |
Reports - Research | 3 |
Speeches/Meeting Papers | 2 |
Opinion Papers | 1 |
Reports - Evaluative | 1 |
Education Level
Elementary Secondary Education | 1 |
Higher Education | 1 |
Middle Schools | 1 |
Postsecondary Education | 1 |
Audience
Researchers | 2 |
Location
New Jersey | 1 |
Romania | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Precup, Radu-Emil; Hedrea, Elena-Lorena; Roman, Raul-Cristian; Petriu, Emil M.; Szedlak-Stinean, Alexandra-Iulia; Bojan-Dragos, Claudia-Adina – IEEE Transactions on Education, 2021
This article proposes an approach based on experiments to teach optimization technique (OT) courses in the Systems Engineering curricula at undergraduate level. Artificial intelligence techniques in terms of nature-inspired optimization algorithms and neural networks are inserted in the lecture and laboratory parts of the syllabus. The experiments…
Descriptors: Engineering Education, Teaching Methods, Systems Approach, Undergraduate Students
Vattam, Swaroop S.; Goel, Ashok K.; Rugaber, Spencer; Hmelo-Silver, Cindy E.; Jordan, Rebecca; Gray, Steven; Sinha, Suparna – Educational Technology & Society, 2011
Artificial intelligence research on creative design has led to Structure-Behavior-Function (SBF) models that emphasize functions as abstractions for organizing understanding of physical systems. Empirical studies on understanding complex systems suggest that novice understanding is shallow, typically focusing on their visible structures and…
Descriptors: Systems Approach, Middle School Students, Models, Science Instruction

Pinto, Maria; Galvez, Carmen – Journal of Information Science, 1999
Discussion of abstracting systems focuses on the paradigm concept and identifies and explains four paradigms: communicational, or information theory; physical, including information retrieval; cognitive, including information processing and artificial intelligence; and systemic, including quality management. Emphasizes multidimensionality and…
Descriptors: Abstracting, Artificial Intelligence, Cognitive Processes, Information Retrieval

Kerr, Stephen T. – British Journal of Educational Technology, 1983
Presents findings from study of design activities among 26 novice instructional designers which investigated prevalence of initial generation of more than one design solution; basis on which solutions are accepted or rejected; constraints encountered in proceeding with design; way in which designers know design is finished. Twelve references are…
Descriptors: Art, Artificial Intelligence, Building Design, Decision Making
Moulin, Bernard – 1984
Designed to focus attention on the design process in such computer science activities as information systems design, database design, and expert systems design, this paper examines three main phases of the design process: understanding the context of the problem, identifying the problem, and finding a solution. The processes that these phases…
Descriptors: Artificial Intelligence, Cognitive Structures, Computer Science, Concept Formation
Kerr, Stephen T. – 1982
The literature on instructional design argues that curricula, educational materials, and instructional strategies are best created using a systems approach, and models for the systematic design of educational programs have proliferated over the past decade. However, these models are prescriptive and not based on research into how designers…
Descriptors: Artificial Intelligence, Building Design, Creative Art, Decision Making
Clancey, William J. – 1985
A broad range of well-structured problems--embracing forms of diagnosis, catalog selection, and skeletal planning--are solved in expert computer systems by the method of heuristic classification. These programs have a characteristic inference structure that systematically relates data to a pre-enumerated set of solutions by abstraction, heuristic…
Descriptors: Artificial Intelligence, Classification, Computer Oriented Programs, Computer Science