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Chiru, Costin-Gabriel; Rebedea, Traian – Creativity Research Journal, 2017
This article proposes a new fully automated method for identifying creativity that is manifested in a divergent task. The task is represented by chat conversations in small groups, each group having to debate on the same topics, with the purpose of better understanding the discussed concepts. The chat conversations were created by undergraduate…
Descriptors: Creativity, Heuristics, Creative Thinking, Undergraduate Students
Smith, Raymond – Journal of Workplace Learning, 2017
Purpose: The focus on innovation as a foundational element of enhanced organisational performance has led to the promoting and valuing of greater levels of employee participation in innovation processes. An emergent concept of employee-driven innovation could be argued to have hindered understandings of the creative and transformative nature of…
Descriptors: Innovation, Employees, Transformative Learning, Ethnography
Research Quarterly for Exercise and Sport, 2016
By bringing together the national German sports game community and an international scientific community in a joint conference, the 6th International Teaching Games for Understanding Conference (TGfU) Meets the 10th German Sports Games Symposium of the German Association of Sport Science (DVS), held July 25-27, 2016, at the German Sport University…
Descriptors: Foreign Countries, Team Sports, Racquet Sports, Athletics
Carruthers, Sarah; Masson, Michael E. J.; Stege, Ulrike – Journal of Problem Solving, 2012
Recent studies on a computationally hard visual optimization problem, the Traveling Salesperson Problem (TSP), indicate that humans are capable of finding close to optimal solutions in near-linear time. The current study is a preliminary step in investigating human performance on another hard problem, the Minimum Vertex Cover Problem, in which…
Descriptors: Performance, Problem Solving, Graphs, Mathematics
Fournier, Jean-Pierre; Sansonnet, Jean-Paul – Interactive Technology and Smart Education, 2008
Purpose: This paper aims to sketch the emerging notion of auto-adaptive software when applied to e-learning software. Design/methodology/approach: The study and the implementation of the auto-adaptive architecture are based on the operational framework "ActiveTutor" that is used for teaching the topic of computer science programming in first-grade…
Descriptors: Electronic Learning, Distance Education, Heuristics, Computer Software
Ginat, David – Journal of Computers in Mathematics and Science Teaching, 2005
Sometimes, if you do not begin at the end, you end at the beginning. This problem-solving phenomenon, in the realm of computer science (CS), is the subject of this paper. Beginning at the end yields a "working backwards" approach, opposite to that of "working forwards." One might expect 3rd year CS students to be aware of and effectively utilize…
Descriptors: Computer Science, Problem Solving, Heuristics, Preservice Teachers
Clancey, William J. – 1984
In an attempt to specify in some canonical terms what many heuristic programs known as "expert systems" do, an analysis was made of ten rule-based systems. It was found that these programs proceed through easily identifiable phases of data abstraction, heuristic mapping onto a hierarchy of pre-enumerated solutions, and refinement within this…
Descriptors: Classification, Computer Science, Computer Software, Heuristics

Schell, George P. – Journal of Educational Technology Systems, 1988
Reviews the development of artificial intelligence systems and the mechanisms used, including knowledge representation, programing languages, and problem processing systems. Eleven books and 6 journals are listed as sources of information on artificial intelligence. (23 references) (CLB)
Descriptors: Algorithms, Artificial Intelligence, Computer Science, Heuristics
Searle, John R. – Scientific American, 1990
Discusses whether machines can think in the same sense that humans think. Provides four conclusions based on axioms of differences between computer programs and human minds. Compares claims of strong and weak artificial intelligence. (YP)
Descriptors: Artificial Intelligence, Computer Science, Computer Software, Computer Software Development

Waldrop, M. Mitchell – Science, 1988
Describes an artificial intelligence system known as SOAR that approximates a theory of human cognition. Discusses cognition as problem solving, working memory, long term memory, autonomy and adaptability, and learning from experience as they relate to artificial intelligence generally and to SOAR specifically. Highlights the status of the…
Descriptors: Artificial Intelligence, Cognitive Processes, Cognitive Psychology, Cognitive Structures
Psotka, Joseph – 1985
Current notions of metacognition merge with the predominant scientific model used in psychology, that of information processing. Metacognition is seen as a control process that governs the action of more elemental cognitive skills. Given the centrality of this notion, it is important that metacognition should be examined in detail. From the point…
Descriptors: Artificial Intelligence, Cognitive Processes, Cognitive Restructuring, Computer Assisted Instruction
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

Mandell, Alan; Lucking, Robert – Journal of Computers in Mathematics and Science Teaching, 1988
Discusses programs to provide a knowledge base and use the knowledge in a mode of artificial intelligence. Indicates that two methods of database storage are possible and opts to use a method using many data files while using a small RAM capacity. Lists several programs. (MVL)
Descriptors: Artificial Intelligence, Cognitive Processes, Cognitive Psychology, College Science
Lewis, Clayton – 1986
Computer learners often develop explanations of events they observe during training. Recent work on generalization suggests that explanations may be valuable in permitting learners to develop generalizations from one or a few examples. This study explores the idea by describing four generalization paradigms in which explanations play a part:…
Descriptors: Analogy, Cognitive Style, College Students, Computer Science

Waldrop, M. Mitchell – Science, 1988
Traces the history and function of State, Operator, And Result (SOAR), a general-purpose artificial intelligence program for solving problems. The SOAR can "chunk" the result of a subgoal and learn from previous experiences. The SOAR could be applied to various expert systems. (YP)
Descriptors: Artificial Intelligence, Cognitive Processes, Cognitive Psychology, College Science
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