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Showing 1 to 15 of 21 results Save | Export
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Abraham E. Flanigan; Markeya S. Peteranetz; Duane F. Shell; Leen-Kiat Soh – ACM Transactions on Computing Education, 2023
Objectives: Although prior research has uncovered shifts in computer science (CS) students' implicit beliefs about the nature of their intelligence across time, little research has investigated the factors contributing to these changes. To address this gap, two studies were conducted in which the relationship between ineffective self-regulation of…
Descriptors: Computer Science Education, Self Concept, Intelligence, Self Management
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Flanigan, Abraham E.; Peteranetz, Markeya S.; Shell, Duane F.; Soh, Leen-Kiat – ACM Transactions on Computing Education, 2022
Two studies investigated change in computer science (CS) students' implicit intelligence beliefs. Across both studies, we found that the strength of incremental and entity beliefs changed across time. In Study 1, we found that incremental beliefs decreased and entity beliefs increased across the semester. Change in implicit intelligence beliefs…
Descriptors: Attitude Change, Computer Science Education, Student Attitudes, Intelligence
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Veeragoudar, Sneha; Sullivan, Florence R. – ACM Transactions on Computing Education, 2022
Here, we present the results of a study of in-service teachers' responses to equity-based case study vignettes focused on racialized classroom incidents. This study was conducted in the context of an ongoing research practice partnership aimed at integrating computer science concepts in elementary grades. Our work took place in a public school…
Descriptors: Teacher Attitudes, Racial Attitudes, Computer Science, Elementary Education
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Stange, Melissa – Inquiry, 2020
This paper will discuss why technical skills alone will not be enough for students to have successful careers in the digital age. Much of their success will hinge on critical soft skills, such as adaptability, inner strength, holistic thinking, and a collaborative spirit. Examples will be provided for inclusion with a computer science program, but…
Descriptors: Technological Literacy, 21st Century Skills, Computer Science Education, Adjustment (to Environment)
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Scott, Michael J.; Ghinea, Gheorghita – IEEE Transactions on Education, 2014
Deliberate practice is important in many areas of learning, including that of learning to program computers. However, beliefs about the nature of personal traits, known as "mindsets," can have a profound impact on such practice. Previous research has shown that those with a "fixed mindset" believe their traits cannot change;…
Descriptors: Aptitude, Beliefs, Programming, Undergraduate Students
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Zheng, Guangzhi; Zhang, Chi; Li, Lei – Journal of Information Systems Education, 2015
Business intelligence (BI) and healthcare analytics are the emerging technologies that provide analytical capability to help healthcare industry improve service quality, reduce cost, and manage risks. However, such component on analytical healthcare data processing is largely missed from current healthcare information technology (HIT) or health…
Descriptors: Business, Intelligence, Information Technology, Curriculum
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Tang, Chaoying; Baer, John; Kaufman, James C. – Journal of Creative Behavior, 2015
To study implicit concepts of creativity in computer science in the United States and mainland China, we first asked 308 Chinese computer scientists for adjectives that would describe a creative computer scientist. Computer scientists and non-computer scientists from China (N = 1069) and the United States (N = 971) then rated how well those…
Descriptors: Creativity, Computer Science Education, Foreign Countries, Educational Theories
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Korkmaz, Ozgen – Journal of Educational Computing Research, 2012
The present study aims to reveal the impact of students' critical thinking and logico-mathematical intelligence levels of students on their algorithm design skills. This research was a descriptive study and carried out by survey methods. The sample consisted of 45 first-year educational faculty undergraduate students. The data was collected by…
Descriptors: Foreign Countries, Undergraduate Students, Intelligence, Measures (Individuals)
Kugel, Peter – Creative Computing, 1979
The capability of computers and their potential for thinking are discussed. (MK)
Descriptors: Artificial Intelligence, Cognitive Processes, Computer Science, Computer Science Education
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Lopez, Antonio M., Jr. – Mathematics and Computer Education, 1989
Provides background material on logic programing and presents PROLOG as a high-level artificial intelligence programing language that borrows its basic constructs from logic. Suggests the language is one which will help the educator to achieve various goals, particularly the promotion of problem solving ability. (MVL)
Descriptors: Artificial Intelligence, College Science, Computer Science, Computer Science Education
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Kugel, Peter – Journal of Computers in Mathematics and Science Teaching, 1985
The nature of thinking is the subject of this second part in a series which is examining various topics and issues related to the controversy of whether or not computers can think. Suggests that intelligence is the ability to develop general ideas and not the ability to apply those ideas. (JN)
Descriptors: Artificial Intelligence, Computer Science, Computers, Higher Education
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
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Gravina, Robert M. – International Journal of Mathematical Education in Science and Technology, 1980
This paper investigates similarities and differences between the computer and the human brain in terms of thought processes and develops the theory that the computer can learn, is intelligent and does satisfy educational learning requirements. (Author/MK)
Descriptors: Artificial Intelligence, Cognitive Processes, Computer Science, Computers
Turing, A. M. – Creative Computing, 1980
This is a reprint of an article which originally appeared in 1950 in which Turing first describes "The Turing Test." The question "Can machines think?" is discussed in detail. (MK)
Descriptors: Artificial Intelligence, Cognitive Processes, Computer Science, Computers
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Waldrop, M. Mitchell – Science, 1984
Discusses various aspects of artificial intelligence, focusing on three interrelated issues: (1) representation of knowledge, which is roughly the machine equivalent of human memory; (2) control and use of knowledge, which corresponds to human abilities in problem solving and planning; and (3) the acquisition of knowledge, or what humans call…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Computer Science, Higher Education
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