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Showing 1 to 15 of 20 results Save | Export
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Malmi, Lauri; Sheard, Judy; Kinnunen, Päivi; Simon; Sinclair, Jane – ACM Transactions on Computing Education, 2023
Use of theory within a field of research provides the foundation for designing effective research programs and establishing a deeper understanding of the results obtained. This, together with the emergence of domain-specific theory, is often taken as an indicator of the maturity of any research area. This article explores the development and…
Descriptors: Learning Theories, Computer Science Education, Learning Processes, Models
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McGarr, Oliver – Teaching Education, 2023
The metaphors used by teachers to explain the nature of student learning and student difficulty can reveal a great deal about how teachers conceive the teaching and learning process. This is an important area of research as it can shed light on how they see their role in the learning process and how they should intervene to assist students in…
Descriptors: High School Teachers, Teacher Attitudes, Figurative Language, Learning Processes
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Kao, Yvonne; Matlen, Bryan; Weintrop, David – ACM Transactions on Computing Education, 2022
The 1980s and 1990s saw a robust connection between computer science education and cognitive psychology as researchers worked to understand how students learn to program. More recently, academic disciplines such as science and engineering have begun drawing on cognitive psychology research and theories of learning to create instructional materials…
Descriptors: Computer Science Education, Cognitive Psychology, Transfer of Training, Programming
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Berssanette, Joao Henrique; de Francisco, Antonio Carlos – IEEE Transactions on Education, 2022
Contribution: This article features a systematic literature review with the objective of presenting a study that reflects the current scenario of research on the cognitive load theory (CLT) in the domain of teaching and learning computer programming. Background: Computer programming is a highly cognitive skill, requiring mastering multiple…
Descriptors: Cognitive Ability, Programming, Computer Science Education, Mastery Learning
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Huang, Wanju – TechTrends: Linking Research and Practice to Improve Learning, 2023
A design case is a form of scholarly writing in which the author embarks on a reflective journey sharing rich descriptions of their design, design processes, challenges, etc. This paper presents two design cases that demonstrate how learning theories and instructional design concepts were purposefully incorporated in two instructional applications…
Descriptors: Learning Processes, Instructional Design, Learning Theories, Artificial Intelligence
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Mselle, Leonard; Ishengoma, Fredrick – Education and Information Technologies, 2022
In this paper, MTL, an approach for visualization-based pedagogy, is analyzed and contextualized in both Cognitive Load Theory (CLT) and Dual Coding Theory (DCT). Through MTL, lectures, tutorials, laboratory sessions and individual study in learning and teaching programming are all carried out using two cognitive channels; verbal and non-verbal.…
Descriptors: Visualization, Teaching Methods, Cognitive Ability, Learning Theories
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Vrieler, Tina; Salminen-Karlsson, Minna – ACM Transactions on Computing Education, 2022
The aim of this conceptual article is to provide a framework and a lens for educators in diversifying and making CS education more inclusive. In this article, we conceptualize the notion of computer science capital (CSC), which extends Bourdieu's sociological theory of capital and Archer et al.'s work on "science capital." The CSC…
Descriptors: Sociocultural Patterns, Computer Science Education, Teaching Methods, Inclusion
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Hundhausen, C. D.; Olivares, D. M.; Carter, A. S. – ACM Transactions on Computing Education, 2017
In recent years, learning process data have become increasingly easy to collect through computer-based learning environments. This has led to increased interest in the field of "learning analytics," which is concerned with leveraging learning process data in order to better understand, and ultimately to improve, teaching and learning. In…
Descriptors: Learning Analytics, Computer Science Education, Programming, Learning Processes
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Carter, Adam S.; Hundhausen, Christopher D.; Adesope, Olusola – ACM Transactions on Computing Education, 2017
Analyzing the process data of students as they complete programming assignments has the potential to provide computing educators with insights into both their students and the processes by which they learn to program. In prior research, we explored the relationship between (a) students' programming behaviors and course outcomes, and (b) students'…
Descriptors: Social Behavior, Academic Achievement, Programming, Computer Science Education
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Rinderknecht, Christian – Informatics in Education, 2014
We survey the literature about the teaching and learning of recursive programming. After a short history of the advent of recursion in programming languages and its adoption by programmers, we present curricular approaches to recursion, including a review of textbooks and some programming methodology, as well as the functional and imperative…
Descriptors: Teaching Methods, Learning Processes, Visualization, Animation
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Berland, Matthew; Martin, Taylor; Benton, Tom; Smith, Carmen Petrick; Davis, Don – Journal of the Learning Sciences, 2013
Many have suggested that tinkering plays a critical role in novices learning to program, and recent work in learning analytics (Baker & Yacef, 2009 Blikstein, 2011) allows us to describe new relationships in the process. Using learning analytics, we explore how students progress from exploration, through tinkering, to refinement, a pathway…
Descriptors: Learning Processes, Data Collection, Novices, Females
Taylor, Estelle; Breed, Marnus; Hauman, Ilette; Homann, Armando – International Association for Development of the Information Society, 2013
Our aim is to determine which teaching methods students in Computer Science and Information Systems prefer. There are in total 5 different paradigms (behaviorism, cognitivism, constructivism, design-based and humanism) with 32 models between them. Each model is unique and states different learning methods. Recommendations are made on methods that…
Descriptors: Teaching Methods, Learning Processes, Computer Science Education, Information Systems
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McCartney, Robert; Boustedt, Jonas; Eckerdal, Anna; Mostrom, Jan Erik; Sanders, Kate; Thomas, Lynda; Zander, Carol – European Journal of Engineering Education, 2009
"Threshold concepts" are concepts that, among other things, transform the way a student looks at a discipline. Although the term "threshold" might suggest that the transformation occurs at a specific point in time, an "aha" moment, it seems more common (at least in computing) that a longer time period is required.…
Descriptors: Engineering Education, Computer Science Education, Transformative Learning, Scientific Concepts
Mayer, Richard E. – 1979
This discussion of the kind of knowledge acquired by a novice learning BASIC programming and how this knowledge may be most efficiently acquired suggests that people who do programming acquire three basic skills that are not obvious either in instruction or in traditional performance: (1) the ability to analyze each statement into a type of…
Descriptors: Computer Science Education, Instructional Innovation, Learning Processes, Learning Theories
Kuzu, Abdullah; Akbulut, Yavuz; Sahin, Mehmet Can – Online Submission, 2007
This paper introduces an evaluation tool prepared to examine the quality of visuals in course-books. The tool is based on Mayer's Cognitive Theory of Multimedia Learning (i.e. Generative Theory) and its principles regarding the correct use of illustrations within text. The reason to generate the tool, the development process along with the…
Descriptors: Multimedia Materials, Learning Theories, Test Construction, Test Reliability
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