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Ouyang, Fan; Xu, Weiqi; Cukurova, Mutlu – International Journal of Computer-Supported Collaborative Learning, 2023
Collaborative problem solving (CPS) enables student groups to complete learning tasks, construct knowledge, and solve problems. Previous research has argued the importance of examining the complexity of CPS, including its multimodality, dynamics, and synergy from the complex adaptive systems perspective. However, there is limited empirical…
Descriptors: Artificial Intelligence, Learning Analytics, Cooperative Learning, Problem Solving
Murphy, Michelle Pauley; Hung, Woei – TechTrends: Linking Research and Practice to Improve Learning, 2023
One hundred years ago, Paul Weiss and Ludwig von Bertalanffy independently proposed that living organisms interact with their environment through systems. In the century that has followed, systems thinking and modeling have grown in tandem with discovery of the vast complexity of the universe at microscopic through astronomic levels. As our…
Descriptors: Systems Approach, Cognitive Processes, Artificial Intelligence, Learning Processes
Marcia Joppert – ProQuest LLC, 2023
The world has experienced rapid changes, leading to pressing issues such as environmental degradation, social inequality, and resource depletion. As a transdisciplinary field, evaluation has emerged as a crucial tool in addressing these challenges and promoting systemic change. However, concerns have been raised regarding the field's capacity to…
Descriptors: Evaluation, Evaluation Methods, Systems Approach, Problem Solving
Simonson, Michael, Ed.; Seepersaud, Deborah, Ed. – Association for Educational Communications and Technology, 2019
For the forty-second time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented at the annual AECT Convention in Las Vegas, Nevada. The Proceedings of AECT's Convention are published in two volumes. Volume 1 contains papers dealing…
Descriptors: Educational Technology, Electronic Learning, Technology Uses in Education, Teaching Methods

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
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

Stephanopoulos, George – Chemical Engineering Education, 1986
Discusses the use of artificial intelligence systems in process engineering. Describes a new program at the Massachusetts Institute of Technology which attempts to advance process engineering through technological advances in the areas of artificial intelligence and computers. Identifies the program's hardware facilities, software support,…
Descriptors: Artificial Intelligence, College Science, Computer Uses in Education, Courseware

Venkatasubramanian, V. – Chemical Engineering Education, 1986
Describes a course on artificial intelligence (AI) in process engineering taught at Columbia University to chemical engineering students, using an AI methodology known as Knowledge-Based Expert Systems (KBES). Provides a description of the course, the lecture topics, and a synopsis of some of the student projects. (TW)
Descriptors: Artificial Intelligence, Chemical Engineering, College Science, Computer Uses in Education