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Jamie Sarah Gorson – ProQuest LLC, 2022
While there is high demand for university computer science (CS) courses, students often struggle when learning to program. Prior work has identified that student perceptions of their programming ability may contribute to these challenges. For example, studies show that students often perceive that they do not belong, are not capable of succeeding,…
Descriptors: Programming, Student Attitudes, Student Experience, Self Efficacy
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Robins, Anthony V. – ACM Transactions on Computing Education, 2022
This paper explores a major theoretical framework from psychology, Dual Process Theory (DPT), which has received surprisingly little attention in the computing education literature. DPT postulates the existence of two qualitatively different kinds of cognitive systems, a fast, intuitive "System 1" and a slow, reflective "System…
Descriptors: Learning Theories, Cognitive Processes, Intelligence, Long Term Memory
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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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Rozencwajg, Paulette; Fenouillet, Fabien – Learning and Individual Differences, 2012
In this experiment we studied the effect of goal setting on the strategies used to perform a block design task called SAMUEL. SAMUEL can measure many indicators, which are then combined to determine the strategies used by participants when solving SAMUEL problems. Two experimental groups were created: one group was given an explicit, difficult…
Descriptors: Experimental Groups, Intelligence, Instructional Design, Goal Orientation
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Detterman, Douglas K. – Intelligence, 2011
Watson's Jeopardy victory raises the question of the similarity of artificial intelligence and human intelligence. Those of us who study human intelligence issue a challenge to the artificial intelligence community. We will construct a unique battery of tests for any computer that would provide an actual IQ score for the computer. This is the same…
Descriptors: Artificial Intelligence, Intelligence, Human Body, Comparative Analysis
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Pierson, Eric E.; Kilmer, Lydia M.; Rothlisberg, Barbara A.; McIntosh, David E. – Journal of Psychoeducational Assessment, 2012
Schools often administer brief intelligence tests as the first step in the identification of students who are cognitively gifted. However, brief measures are often used without consideration of underlying constructs or the psychometric properties of the measures and without regard to the links between screening decisions and educational…
Descriptors: Intelligence, Gifted, Intelligence Tests, Identification
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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)
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Munoz-Organero, Mario; Ramirez, Gustavo A.; Merino, Pedro Munoz; Kloos, Carlos Delgado – IEEE Transactions on Education, 2010
The use of swarm intelligence techniques in e-learning scenarios provides a way to combine simple interactions of individual students to solve a more complex problem. After getting some data from the interactions of the first students with a central system, the use of these techniques converges to a solution that the rest of the students can…
Descriptors: Electronic Learning, Intelligence, Computer Uses in Education, Educational Resources
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Sampson, Demetrios G., Ed.; Spector, J. Michael, Ed.; Ifenthaler, Dirk, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2017
These proceedings contain the papers of the 14th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2017), 18-20 October 2017, which has been organized by the International Association for Development of the Information Society (IADIS) and endorsed by the Japanese Society for Information and Systems in…
Descriptors: Conference Papers, Student Journals, Diaries, Self Management
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Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction