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Domicián Máté; Judit T. Kiss; Mária Csernoch – Education and Information Technologies, 2025
The impact of cognitive biases, particularly biased self-assessment, on learning outcomes and decision-making in higher education is of great significance. This study delves into the confluence of cognitive biases and user experience in spreadsheet programming as a crucial IT skill across various academic disciplines. Through a quantitative…
Descriptors: Programming, Spreadsheets, Computer Science Education, STEM Education
Jegede, Philip Olu; Olajubu, Emmanuel Ajayi; Ejidokun, Adekunle Olugbenga; Elesemoyo, Isaac Oluwafemi – Journal of Information Technology Education: Innovations in Practice, 2019
Aim/Purpose: The study examined types of errors made by novice programmers in different Java concepts with students of different ability levels in programming as well as the perceived causes of such errors. Background: To improve code writing and debugging skills, efforts have been made to taxonomize programming errors and their causes. However,…
Descriptors: Programming Languages, Programming, Low Achievement, High Achievement
Lin, Che-Chern; Liu, Zi-Cheng; Chang, Chih-Lin; Lin, Yu-Wen – IEEE Transactions on Education, 2019
Contribution: An online genetic algorithm-based remedial learning system is presented in order to strengthen students' understanding of object-oriented programming (OOP) concepts by tailoring personalized learning materials according to each student's strengths and weaknesses. Background: Prior studies on computer programming education have…
Descriptors: Individualized Instruction, Remedial Instruction, Computer Science Education, Programming Languages
Pertegal-Felices, María L.; Castejón-Costa, Juan L.; Gilar-Corbí, Raquel; Mora-Mora, Higinio – Journal of Education, 2017
Several studies have documented the benefits of emotional intelligence particularly in the workplace. The main objective of universities is to educate in terms of acquiring capacities, abilities, competencies, and values, with the ultimate aim of promoting employment. In some Spanish universities, High Academic Performance Groups (HAPs) have been…
Descriptors: Emotional Intelligence, Computer Science Education, Engineering Education, Academic Achievement
Rodrigo, Ma. Mercedes T.; Andallaza, Thor Collin S.; Castro, Francisco Enrique Vicente G.; Armenta, Marc Lester V.; Dy, Thomas T.; Jadud, Matthew C. – Journal of Educational Computing Research, 2013
In this article we quantitatively and qualitatively analyze a sample of novice programmer compilation log data, exploring whether (or how) low-achieving, average, and high-achieving students vary in their grasp of these introductory concepts. High-achieving students self-reported having the easiest time learning the introductory programming…
Descriptors: Programming, High Achievement, Introductory Courses, Qualitative Research
Hsieh, Pei-Hsuan; Chen, Nian-Shing – Turkish Online Journal of Educational Technology - TOJET, 2012
The purpose of this study is to examine the effects of reflective thinking effects in the process of designing software on students' learning performances. The study contends that reflective thinking is a useful teaching strategy to improve learning performance among lower achieving students. Participants were students from two groups: Higher…
Descriptors: Foreign Countries, Computer Software, Computer Software Evaluation, Programming
Trotter, Andrew – Education Week, 2008
U.S. students spend too little time and effort on academics in high school, compared with harder-working young people in China and India, according to a new documentary being shown to "thought leaders" in states holding presidential primaries this winter. The documentary, conceived and financed by high-tech entrepreneur Robert A.…
Descriptors: High Schools, High School Seniors, Cultural Differences, Time Factors (Learning)
Dar, Yechezkel; Getz, Shlomo – Higher Education: The International Journal of Higher Education and Educational Planning, 2007
Choice of institution and field of study for a bachelor's degree in Israel was found essentially meritocratic although influenced by socioeconomic status (SES) as well. As expected, students of higher ability attend universities and those of lower apply to academic colleges. However, among students of higher ability, those of higher SES opt for…
Descriptors: Foreign Countries, Student Placement, Social Sciences, Labor Market

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