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Role of mental representation in learning a programming language
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Experiences with a synchronous virtual classroom in distance education
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SOLO Taxonomy for Assessing Novices' Algorithmic Design
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What are we thinking when we grade programs?
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Self-citationCode hunt: searching for secret code for fun
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Flipping and Blending—An Action Research Project on Improving a Functional Programming Course
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Multiple Levels of Abstraction in Algorithmic Problem Solving
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Introductory programming, criterion-referencing, and bloom
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Transitions in the Theoretical Foundation of Instructional Design
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Self-citationCurrent Trends in Source Code Analysis, Plagiarism Detection and Issues of Analysis Big Datasets
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Cogito, Ergo sum! cognitive processes of students dealing with data structures
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Research on Instruction : Design and Effects
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Building equitable computer science classrooms
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A fine-grained account of Prolog execution for teaching and debugging
Marc Eisenstadt, A., & Brayshaw, M. (1990) · Instructional Science · doi:10.1007/bf00116447 · Cited by 62
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Reducing programming errors in nested conditionals by prescribing a writing procedure
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Rethinking of Teaching Objects-First
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Teaching Abstract Thinking in Introduction to Computer Science for 7th Graders
Statter, D., & Armoni, M. (2016) · Workshop in Primary and Secondary Computing Education · doi:10.1145/2978249.2978261 · Cited by 62
Students’ Misconceptions about Semiconductors and Use of Knowledge in Simulations
Nelson, K. G., McKenna, A. F., Brem, S. K., Hilpert, J. C., Husman, J. E., & Pettinato, E. (2017) · Journal of Engineering Education · doi:10.1002/jee.20163 · Cited by 62
Defensive climate in the computer science classroom
Barker, L. J., Garvin-Doxas, K., & Jackson, M. H. (2002) · ACM SIGCSE Bulletin · doi:10.1145/563517.563354 · Cited by 62
Soloway's Rainfall Problem Has Become Harder
Simon (2013) · International Conference on Learning and Teaching in Computing and Engineering (LaTICE) · doi:10.1109/latice.2013.44 · Cited by 61
Experiences with lab-centric instruction
Titterton, N., Lewis, C. M., & Clancy, M. J. (2010) · Computer Science Education · doi:10.1080/08993408.2010.486256 · Cited by 61
Developing authentic problem solving skills in introductory computing classes
Falkner, K. E., & Palmer, E. (2009) · ACM Technical Symposium on Computer Science Education (SIGCSE) · doi:10.1145/1508865.1508871 · Cited by 61
Codepourri: Creating visual coding tutorials using a volunteer crowd of learners
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An Instrument to Assess Self-Efficacy in Introductory Algorithms Courses
Danielsiek, H., Toma, L., & Vahrenhold, J. (2017) · ACM Conference on International Computing Education Research (ICER) · doi:10.1145/3105726.3106171 · Cited by 61
Enhancing assessment feedback practice in higher education: The EAT Framework
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An exploration of novice compilation behaviour in BlueJ
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Suggestions for graduated exposure to programming concepts using fading worked examples
Gray, S., Clair, C. S., James, R., & Mead, J. (2007) · ACM Conference on International Computing Education Research (ICER) · doi:10.1145/1288580.1288594 · Cited by 61
Tools for "contributing student learning"
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A design-first curriculum for teaching Java in a CS1 course
Moritz, S. H., & Blank, G. D. (2005) · ACM SIGCSE Bulletin · doi:10.1145/1083431.1083471 · Cited by 61
Repositories of teaching material and communities of use
Fincher, S. A., Kölling, M., Utting, I., Brown, N. C. C., & Stevens, P. (2010) · ACM Conference on International Computing Education Research (ICER) · doi:10.1145/1839594.1839613 · Cited by 61
Self-citationA Meta-Analysis of Algebra Interventions for Learners with Disabilities and Struggling Learners.
Hughes, E. M., Witzel, B. S., Riccomini, P. J., Fries, K. M., & Kanyongo, G. Y. (2014) · The Journal of the International Association of Special Education · Cited by 61
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Visions for Australian tertiary education
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Computational Thinking in Italian Schools
Corradini, I., Lodi, M., & Nardelli, E. (2017) · ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE) · doi:10.1145/3059009.3059040 · Cited by 61
Gender Differences in Scratch Programs of Primary School Children
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Preventing Plagiarism and Fostering Academic Integrity: A Practical Approach
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Investigating the viability of mental models held by novice programmers
Ma, L., Ferguson, J., Roper, M., & Wood, M. (2007) · ACM SIGCSE Bulletin · doi:10.1145/1227504.1227481 · Cited by 61
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Self-citationA Framework for Topic Generation and Labeling from MOOC Discussions
Atapattu, T., & Falkner, K. E. K. (2016) · ACM Conference on Learning @ Scale (L@S) · doi:10.1145/2876034.2893414 · Cited by 60
Quantity of Professional Education Coursework Linked with Process Measures of Student Teaching.
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Simply Scheme: introducing computer science
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Comparing alice, greenfoot & scratch
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Self-citationUsing video games to enhance learning in digital systems
Srinivasan, V., Butler-Purry, K. L., & Pedersen, S. (2008) · Conference on Future Play · doi:10.1145/1496984.1497020 · Cited by 60
Race and gender in play practices
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Opening the door of the computer science classroom
Tenenberg, J., & Fincher, S. A. (2007) · ACM Technical Symposium on Computer Science Education (SIGCSE) · doi:10.1145/1227310.1227484 · Cited by 60
Self-citationThe ongoing challenges of computer science education research
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CHREST+: A simulation of how humans learn to solve problems using diagrams
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Introducing Computational Thinking to K-5 in a French Context
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The introductory programming course in computer science
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Empirical studies on programming language stimuli
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An Empirical Study of the “Prototype Walkthrough”
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PERCEIVED BARRIERS TO HIGHER EDUCATION IN SCIENCE, TECHNOLOGY, ENGINEERING, AND MATHEMATICS
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Heckman, S. S., Carver, J. C., Sherriff, M. S., & Al-Zubidy, A. (2021) · ACM Transactions on Computing Education · doi:10.1145/3470652 · Cited by 34
Tedre, M., & Pajunen, J. (2022) · ACM Transactions on Computing Education · doi:10.1145/3487049 · Cited by 24
Honda, F., Pires, F., Pessoa, M., & Oliveira, E. (2020) · Anais do ... Simpósio Brasileiro de Informática na Educação/Anais do Simpósio Brasileiro de Informática na Educação · doi:10.5753/cbie.sbie.2020.1753 · Cited by 7
Computational Modelling in High School Biology: A Teaching Intervention
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The Landscape of Computer Science Education Courses: A Syllabi Analysis
Cunningham, K. I., Parker, M. C., & Zhang, J. (2023) · Koli Calling International Conference on Computing Education Research · doi:10.1145/3631802.3631831 · Cited by 3
Metadata
- Authors
- Fincher, S. A., Tenenberg, J., Dorn, B., Hundhausen, C., McCartney, R., & Murphy, L.
- Affiliations
- University of Kent (GB)
- ORCID
- Venue
- The Cambridge Handbook of Computing Education Research
- Publisher
- Cambridge University Press
- Published
- 2019-02-21
- Pages
- 40-55
- OpenAlex
- W2916826581
- Cited by
- 7
- References
- 2,102
- Citations by year
- 2023: 3 · 2022: 2 · 2021: 1 · 2020: 1
- FWCI
- 2.88
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Cambridge University Press eBooks (publishedVersion)
- Kent Academic Repository (University of Kent) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
- Social Sciences › Education › Educational Research and Methods
- Social Sciences › Gender Studies › Gender and Technology in Education
- Keywords
- computing education, research trends, computer science education
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