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Xie, Benjamin; Loksa, Dastyni; Nelson, Greg L.; Davidson, Matthew J.; Dong, Dongsheng; Kwik, Harrison; Tan, Alex Hui; Hwa, Leanne; Li, Min; Ko, Andrew J. – Computer Science Education, 2019
Background and Context: Current introductory instruction fails to identify, structure, and sequence the many skills involved in programming. Objective: We proposed a theory which identifies four distinct skills that novices learn incrementally. These skills are tracing, writing syntax, comprehending templates (reusable abstractions of programming…
Descriptors: Programming, Skill Development, Computer Science Education, Instructional Design
Lee, Nancy; Hong, Eunsook – IAFOR Journal of Education, 2017
The study described here explored the differential effects of two learning strategies, self-explanation and reading questions and answers, on learning the computer programming language JavaScript. Students' test performance and perceptions of effectiveness toward the two strategies were examined. An online interactive tutorial instruction…
Descriptors: Computer Science Education, Programming, Introductory Courses, High School Students
Erhardt, Robert J.; Shuman, Michael P. – Journal of Statistics Education, 2015
At Wake Forest University, a student who is blind enrolled in a second course in statistics. The course covered simple and multiple regression, model diagnostics, model selection, data visualization, and elementary logistic regression. These topics required that the student both interpret and produce three sets of materials: mathematical writing,…
Descriptors: Blindness, Statistics, College Mathematics, College Students
Grimm, Kevin J.; Ram, Nilam; Estabrook, Ryne – Multivariate Behavioral Research, 2010
Growth mixture models (GMMs; B. O. Muthen & Muthen, 2000; B. O. Muthen & Shedden, 1999) are a combination of latent curve models (LCMs) and finite mixture models to examine the existence of latent classes that follow distinct developmental patterns. GMMs are often fit with linear, latent basis, multiphase, or polynomial change models…
Descriptors: Models, Computer Software, Programming, Statistical Analysis
Sánchez, Inmaculada Arnedillo, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2017
These proceedings contain the papers and posters of the 13th International Conference on Mobile Learning 2017, which was organised by the International Association for Development of the Information Society (IADIS), in Budapest, Hungary, April 10-12, 2017. The Mobile Learning 2017 Conference seeks to provide a forum for the presentation and…
Descriptors: Conference Papers, Telecommunications, Handheld Devices, Educational Technology
Peer reviewedHarvey, Leon; Anderson, John – Human-Computer Interaction, 1996
Two experiments tested the hypothesis that subjects introduced to a first programming language develop a representation of basic programming concepts that help them integrate new declarative knowledge from a second programming language. The effect on reading was greater for pages that were conceptually close across texts and for subjects who had…
Descriptors: Information Processing, Knowledge Level, Knowledge Representation, Programmers

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