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A Generalized Estimating Equations Approach to Investigate Predictors of Teacher Candidates' Views of Coding
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Belland, Brian R.; Kim, Chanmin; Zhang, Anna Y.; Lee, Eunseo – ACM Transactions on Computing Education, 2023
This article reports the analysis of data from five different studies to identify predictors of preservice, early childhood teachers' views of (a) the nature of coding, (b) integration of coding into preschool classrooms, and (c) relation of coding to fields other than computer science (CS). Significant changes in views of coding were predicted by…
Descriptors: Predictor Variables, Preservice Teachers, Student Attitudes, Programming
A New Approach to High-Order Cognitive Skills in Linguistics: Problem-Solving Inference in Similarity to Computer Science
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Shilo, Gila; Ragonis, Noa – Journal of Further and Higher Education, 2019
A central issue in the design of curricula for all school levels is the development of the learners' high-order thinking skills and metacognitive skills. Among such required skills is the ability to solve problems. The literature dealing with the development of problem-solving skills is vast and primarily addresses the scientific disciplines, even…
Descriptors: Thinking Skills, Metacognition, Problem Solving, Linguistics
Quality of Assessment of Prior Learning (APL) in University Programmes: Perceptions of Candidates, Tutors and Assessors
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Brinke, D. Joosten-ten; Sluijsmans, D. M. A.; Jochems, W. M. G. – Studies in Continuing Education, 2009
Formal diplomas and certificates have been accepted as proof that students may receive exemption for parts of their educational programme. Nowadays, though, it is socially desirable that informal and non-formal learning experiences are also recognised. Assessment of prior learning (APL) addresses this issue. In APL, the candidate's knowledge,…
Descriptors: Recognition (Achievement), Prior Learning, Performance Based Assessment, Measures (Individuals)
Learning Edge Momentum: A New Account of Outcomes in CS1
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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
Common Sense Computing (Episode 4): Debugging
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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
Gender Issues and Computers: College Computer Science Education in Taiwan
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Fan, Tai-Sheng; Li, Yi-Ching – Computers and Education, 2005
This study investigated gender differences for college computer science majors in Taiwan. Subjects were college students enrolled in five universities offering computer science programs. A total of 940 valid questionnaires were collected, including 796 males (85%) and 144 females (15%). Significant gender differences were not found for most of the…
Descriptors: Foreign Countries, Computer Science Education, Gender Differences, Majors (Students)