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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
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
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)
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
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