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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
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
Amy Esther Kuiken – ProQuest LLC, 2024
The cybersecurity landscape in the United States has rapidly evolved, marked by risk and novel threats (Georgescu, 2021; Siraj et al., 2021). Today, security mindsets are "widely accepted in the computer security community as … essential … for successful cybersecurity practice" (Peterson, 2021, para. 1), valuable to aspiring…
Descriptors: Second Language Learning, Second Language Instruction, Information Security, Computer Security
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)
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
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
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
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

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
Seidel, Robert J.; Rotberg, Iris C. – 1964
To examine the influence of two variables--prompting versus confirmation, and verbalization--on learning, 60 high school subjects used programed instruction under six randomly assigned treatment conditions to learn to write computer programs. The rules group periodically wrote out the programing rules; the naming group subjects named the rules;…
Descriptors: Computer Science Education, Educational Research, Feedback, High School Students