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Yanyan Sun; Chengjun Feng; Di Peng; Bian Wu – Journal of Computer Assisted Learning, 2024
Background: Both learning and problem solving are major goals of complex problem solving in engineering education. The order of knowledge construction and problem solving in learning through problem solving, however, has not been explained in current literature. Objectives: To understand their relationships, this study compared the effects of…
Descriptors: Goal Orientation, Active Learning, Inquiry, Engineering Education
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Barrón-Estrada, María Lucia; Zatarain-Cabada, Ramón; Romero-Polo, Jorge Abraham; Monroy, Julieta Noguez – Education and Information Technologies, 2022
Pattern recognition is an important skill of Computational Thinking and is one of the most important competences for solving a problem that involves finding similarities or patterns in small problems to solve more complex ones. In this work, we present the mobile application software Patrony. The main contribution of this work is to promote the…
Descriptors: Handheld Devices, Computer Oriented Programs, Pattern Recognition, Computation
Lucas, Jay P. – Creative Computing, 1980
Computer programs to protect a home computer from tampering by a preschool child, while at the same time providing practice for the child in character and shape recognition, are given. (TG)
Descriptors: Character Recognition, Computer Oriented Programs, Computer Programs, Letters (Alphabet)
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Uenishi, Roy Katsumi – Impact of Science on Society, 1984
Examines such questions as: (1) Can creativity be fostered by education, and if so, how? (2) What part does language, man's most effective tool, play in this process? and (3) Could the artificial intelligence of computers be enlisted in the quest for greater creativity? (Author/JN)
Descriptors: Artificial Intelligence, Computer Oriented Programs, Creativity, Elementary Secondary Education
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Carlson, Patricia A. – Journal of Computing in Higher Education, 1991
Artificial neural networks (ANN), part of artificial intelligence, are discussed. Such networks are fed sample cases (training sets), learn how to recognize patterns in the sample data, and use this experience in handling new cases. Two cognitive roles for ANNs (intelligent filters and spreading, associative memories) are examined. Prototypes…
Descriptors: Artificial Intelligence, Associative Learning, Computer Assisted Instruction, Computer Oriented Programs
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Thompson, Charles S.; Van de Walle, John – Arithmetic Teacher, 1985
Described are: how teachers can use the computer language Logo, along with noncomputer activities, for teaching about linear and two-dimensional patterns and about combining shapes to create more complex shapes. Three computer program listings are included. (MNS)
Descriptors: Computer Oriented Programs, Computer Software, Elementary Education, Elementary School Mathematics
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Winter, M. J. – Mathematics Teacher, 1984
How to find and classify positive integral solutions to 1/a + 1/b = 1/c in beginning and advanced algebra classes is described. The computer finds the solutions, but students practice algebraic manipulation as they analyze the solutions for patterns. Extensions to challenge more capable students are included. (MNS)
Descriptors: Algebra, Computer Oriented Programs, Computer Programs, Integers