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Chen, Chen; Haduong, Paulina; Brennan, Karen; Sonnert, Gerhard; Sadler, Philip – Computer Science Education, 2019
Background and Context: The relationship between novices' first programming language and their future achievement has drawn increasing interest owing to recent efforts to expand K-12 computing education. This article contributes to this topic by analyzing data from a retrospective study of more than 10,000 undergraduates enrolled in introductory…
Descriptors: Computer Science Education, Programming Languages, College Students, Computer Attitudes
McCord, Rachel; Jeldes, Isaac – Computer Science Education, 2019
Background and Context: Flipped classrooms are becoming more widely adopted across engineering higher education contexts. In degree programs where enrollment is increasing and undergraduate curricula are packed with content, pedagogies that allow more time for actively participate in classroom activities are being highly sought after to aid in…
Descriptors: Computer Software, Computer Science Education, Blended Learning, Intervention
Kong, Siu-Cheung; Wang, Yi-Qing – Computer Science Education, 2019
Background and Context: Positive youth programming development (PYPD) was conceptualized to measure various positive qualities of students in programming education. Objective: This study aimed to develop a valid PYPD instrument in the pilot before exploring students' positive qualities in two follow-up studies. Method: A multi-study design was…
Descriptors: Computer Science Education, Programming, College Students, Test Validity
Liu, Zhongxiu; Zhi, Rui; Hicks, Andrew; Barnes, Tiffany – Computer Science Education, 2017
Debugging is an over-looked component in K-12 computational thinking education. Few K-12 programming environments are designed to teach debugging, and most debugging research were conducted on college-aged students. In this paper, we presented debugging exercises to 6th-8th grade students and analyzed their problem solving behaviors in a…
Descriptors: Problem Solving, Middle School Students, Student Behavior, Programming
Robins, Anthony – Computer Science Education, 2010
Compared to other subjects, the typical introductory programming (CS1) course has higher than usual rates of both failing and high grades, creating a characteristic bimodal grade distribution. In this article, I explore two possible explanations. The conventional explanation has been that learners naturally fall into populations of programmers and…
Descriptors: Programming, Learning Processes, Grading, Simulation
Simon, Beth; Bouvier, Dennis; Chen, Tzu-Yi; Lewandowski, Gary; McCartney, Robert; Sanders, Kate – Computer Science Education, 2008
We report on responses to a series of four questions designed to identify pre-existing abilities related to debugging and troubleshooting experiences of novice students before they begin programming instruction. The focus of these questions include general troubleshooting, bug location, exploring unfamiliar environments, and describing students'…
Descriptors: Troubleshooting, Teaching Methods, Computer Science Education, Programming
Tenenberg, Josh; Murphy, Laurie – Computer Science Education, 2005
This paper describes an empirical study that investigated the knowledge that Computer Science students have about the extent of their own previous learning. The study compared self-generated estimates of performance with actual performance on a data structures quiz taken by undergraduate students in courses requiring data structures as a…
Descriptors: Feedback (Response), Undergraduate Students, Student Attitudes, Prior Learning