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Dunhong Yao; Jing Lin – Education and Information Technologies, 2025
Programming education consistently faces challenges in bridging theory with practice and fostering students' cognitive competencies. This 12-year longitudinal study (2011-2023) investigates an innovative competency-based teaching model in university C programming education that integrates six educational theories into a coherent framework with…
Descriptors: Competency Based Education, Computer Science Education, Programming, Longitudinal Studies
DeLiema, David; Kwon, Yejin Angela; Chisholm, Andrea; Williams, Immanuel; Dahn, Maggie; Flood, Virginia J.; Abrahamson, Dor; Steen, Francis F. – Cognition and Instruction, 2023
When teachers, researchers, and students describe productively responding to moments of failure in the learning process, what might this mean? Blending prior theoretical and empirical research on the relationship between failure and learning, and empirical results from four data sets that are part of a larger design-based research project, we…
Descriptors: Guidelines, Learning Processes, Correlation, Failure
Siegfried, Robert M.; Siegfried, Jason P.; Alexandro, Gina – Information Systems Education Journal, 2016
Throughout the 1990s, Richard Reid of Michigan State University maintained a list showing the first programming language used in introductory programming courses taken by computer science and information systems majors; it was updated for several years afterwards with the most recent update done in 2011. This is a follow-up to that last update of…
Descriptors: Longitudinal Studies, Programming Languages, Computer Science Education, Information Systems
Lyon, Louise Ann; Green, Emily – Computer Science Education, 2020
Background and Context: Non-traditional training grounds such as coding boot camps that attract a higher proportion of women are important sites for understanding how to broaden participation in computing. Objective: This work aims to help us better understand the women choosing boot camps and their pathways through these camps and into the…
Descriptors: Coding, Females, Nontraditional Education, Computer Science Education
Harlow, Danielle B.; Dwyer, Hilary A.; Hansen, Alexandria K.; Iveland, Ashley O.; Franklin, Diana M. – Cognition and Instruction, 2018
This article integrates an ecological approach and design-based research in computer science education research by following the simultaneous development of a computer programming environment and curriculum for elementary school age children over 2-1/2 years. We studied the alignment of the affordances provided by the programming environment and…
Descriptors: Computer Science Education, Elementary School Students, Programming, Scaffolding (Teaching Technique)
Silva-Maceda, Gabriela; Arjona-Villicaña, P. David; Castillo-Barrera, F. Edgar – IEEE Transactions on Education, 2016
Learning to program is a complex task, and the impact of different pedagogical approaches to teach this skill has been hard to measure. This study examined the performance data of seven cohorts of students (N = 1168) learning programming under three different pedagogical approaches. These pedagogical approaches varied either in the length of the…
Descriptors: Programming, Teaching Methods, Intermode Differences, Cohort Analysis
Purao, Sandeep; Sein, Maung; Nilsen, Hallgeir; Larsen, Even Åby – IEEE Transactions on Education, 2017
The ideal of self-paced learning, which was introduced nearly 50 years ago by Keller in his Personalized System of Instruction (PSI), has not yet been widely adopted. In spite of its perceived promise of helping students to learn at the speed aligned to their individual backgrounds, motivation, and skills, PSI has been challenging to implement.…
Descriptors: Individualized Instruction, Pacing, Introductory Courses, Programming
Hoskey, Arthur; Maurino, Paula San Millan – Information Systems Education Journal, 2011
Numerous studies document high drop-out and failure rates for students in computer programming classes. Studies show that even when some students pass programming classes, they still do not know how to program. Many factors have been considered to explain this problem including gender, age, prior programming experience, major, math background,…
Descriptors: College Students, Computer Science Education, Programming, Programming Languages
Denner, Jill; Werner, Linda; O'Connor, Lisa; Glassman, Jill – Community College Review, 2014
Efforts to increase the number of women who pursue and complete advanced degrees in computer and information sciences (CIS) have been limited, in part, by a lack of research on pathways into and out of community college CIS classes. This longitudinal study tests three widely held beliefs about how to increase the number of CIS majors at 4-year…
Descriptors: Two Year College Students, Longitudinal Studies, Majors (Students), Career Choice
Nikula, Uolevi; Gotel, Orlena; Kasurinen, Jussi – ACM Transactions on Computing Education, 2011
It has been estimated that more than two million students started computing studies in 1999 and 650,000 of them either dropped or failed their first programming course. For the individual student, dropping such a course can distract from the completion of later courses in a computing curriculum and may even result in changing their course of study…
Descriptors: Computer Science Education, Programming, Holistic Approach, College Curriculum

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