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Ahadi, Alireza; Hellas, Arto; Lister, Raymond – ACM Transactions on Computing Education, 2017
We describe a method for analyzing student data from online programming exercises. Our approach uses contingency tables that combine whether or not a student answered an online exercise correctly with the number of attempts that the student made on that exercise. We use this method to explore the relationship between student performance on online…
Descriptors: Data Analysis, Online Courses, Computer Science Education, Programming
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Csernoch, Mária; Biró, Piroska – Acta Didactica Napocensia, 2016
Sprego is programming with spreadsheet functions. The present paper provides introductory Sprego examples which have so far only been available in Hungarian. Spreadsheet environments offer both a programming tool which best serves beginner and end-user programmers' interest, and an approach which lightens the burden of coding and language details.…
Descriptors: Programming, Spreadsheets, Instruction, Problem Solving
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Turner, David – Oxford Review of Education, 2005
This paper examines the practice of benchmarking universities using a "league table" approach. Taking the example of the "Sunday Times University League Table", the author reanalyses the descriptive data on UK universities. Using a linear programming technique, data envelope analysis (DEA), the author uses the re-analysis to…
Descriptors: Programming, Mathematical Applications, Benchmarking, Foreign Countries
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Kay, Robin H. – Journal of Research on Computing in Education, 1993
Describes a study of 647 preservice teachers in Ontario that used the Computer Ability Survey (CAS) to assess 4 components of computer literacy: software ability, awareness, programming skill, and perceived control. Correlations and validity for the CAS are discussed, and results of a principal-components factor analysis are reported. (Contains 39…
Descriptors: Ability Identification, Computer Literacy, Computer Software, Correlation
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Anderson, Alastair A. – Computers in Human Behavior, 1996
Reports on the results of a study of business undergraduates in Australia that was conducted to determine whether or not perceived knowledge of software, microcomputer experience, overall knowledge of computers, programming experience, and gender were predictors of computer anxiety. Use of the Computer Anxiety Rating Scale is discussed.…
Descriptors: Business Administration Education, Computer Anxiety, Computer Software, Correlation