The DOI matches its Crossref record, with a small difference in title or year; 2,052 of the 2,102 references it cites were found in a registry or an index.
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An assessment model for large project courses
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Standards for quality of research in engineering education
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The role of metacognitive skills in solving object-oriented programming problems: a case study
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First year students' impressions of pair programming in CS1
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Computer education in the secondary school
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An experimental investigation of the effect of program structure on program understanding
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Teaching Computational Thinking in Primary Education
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Subgoal Labeled Worked Examples in K-3 Education
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Computational thinking for all
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On the Cognitive Prerequisites of Learning Computer Programming. Technical Report No. 18.
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Roth, W. (2013) · SensePublishers eBooks · doi:10.1007/978-94-6209-254-9 · Cited by 48
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Resnick, M., Ocko, S., & Papert, S. A. (1988) · Children Youth and Environments · Cited by 47
Cohoon, J. M., Wu, Z., & Chao, J. (2009) · ACM SIGCSE Bulletin · doi:10.1145/1539024.1508924 · Cited by 47
Computer Science Education in the 21st Century
Greening, T. (2000) · Springer eBooks · doi:10.1007/978-1-4612-1298-0 · Cited by 47
A Visualization-Based Computer Science Hypertextbook Prototype
Rößling, G., & Vellaramkalayil, T. (2009) · ACM Transactions on Computing Education · doi:10.1145/1538234.1538238 · Cited by 47
Wertsch, J. V., & Tulviste, P. (1990) · Science · doi:10.1126/science.249.4969.684 · Cited by 47
Margolis, J., Goode, J., Chapman, G., & Ryoo, J. J. (2014) · Communications of the ACM · doi:10.1145/2618107 · Cited by 47
Virtual worlds in computing education
Crellin, J., Duke-Williams, E., Chandler, J., & Collinson, T. (2009) · Computer Science Education · doi:10.1080/08993400903384950 · Cited by 47
Hundhausen, C. D., Farley, S., & Brown, J. L. (2006) · IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) · doi:10.1109/vlhcc.2006.12 · Cited by 47
Self-citationVirtualizing office hours in CS 50
Malan, D. J. (2009) · ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE) · doi:10.1145/1562877.1562969 · Cited by 47
Pedagogical Content Knowledge in Teaching Material
Saeli, M., Perrenet, J. C., Jochems, W. M. G., & Zwaneveld, B. (2012) · Journal of Educational Computing Research · doi:10.2190/ec.46.3.d · Cited by 47
Computing students learning computing informally
McCartney, R., Eckerdal, A., Moström, J. E., Sanders, K., Thomas, L., & Zander, C. (2010) · Koli Calling International Conference on Computing Education Research · doi:10.1145/1930464.1930470 · Cited by 47
Self-citationIdentification and addressing reduction-related misconceptions
Gal‐Ezer, J., & Trakhtenbrot, M. (2016) · Computer Science Education · doi:10.1080/08993408.2016.1171470 · Cited by 47
Student Concerns Regarding Transition into Higher Education CS
Siegel, A. A., & Zarb, M. (2016) · ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE) · doi:10.1145/2899415.2909581 · Cited by 47
Reflecting on Three Offerings of a Community-Centric MOOC for K-6 Computer Science Teachers
Falkner, K. E. K., Vivian, R., Falkner, N., & Williams, S.-A. (2017) · ACM Technical Symposium on Computer Science Education (SIGCSE) · doi:10.1145/3017680.3017712 · Cited by 47
Jsvee & Kelmu: Creating and Tailoring Program Animations for Computing Education
Sirkiä, T. (2016) · IEEE Working Conference on Software Visualization (VISSOFT) · doi:10.1109/vissoft.2016.24 · Cited by 47
Taking Advantage of Scale by Analyzing Frequent Constructed-Response, Code Tracing Wrong Answers
Stephens, K., Ju, A., Parashar, K., Ongowarsito, R., Jain, N., Venkat, S., & Fox, A. (2017) · ACM Conference on International Computing Education Research (ICER) · doi:10.1145/3105726.3106188 · Cited by 47
Proceedings of the 15th Koli Calling Conference on Computing Education Research
Kinnunen, P., & Sheard, J. (2015) · doi:10.1145/2828959 · Cited by 47
Sheard, J., & Hagan, D. (1998) · ACM SIGCSE Bulletin · doi:10.1145/290320.283550 · Cited by 47
Pex4Fun: Teaching and Learning Computer Science via Social Gaming
Tillmann, N., de Halleux, J., Xie, T., & Bishop, J. (2012) · IEEE International Conference on Software Engineering Education and Training (CSEE&T) · doi:10.1109/cseet.2012.13 · Cited by 47
Carter, A. S., & Hundhausen, C. D. (2015) · Journal of computing sciences in colleges · doi:10.5555/2831373.2831399 · Cited by 46
Self-citationWith a Little Help From My Friends
Carter, A. S., & Hundhausen, C. D. (2016) · ACM Conference on International Computing Education Research (ICER) · doi:10.1145/2960310.2960322 · Cited by 46
Self-citationAn Analysis of a Media-Based Approach to Teach Programming to Middle School Students
Araujo, L. G. D. J., Bittencourt, R. A., & dos Santos, D. M. B. (2018) · ACM Technical Symposium on Computer Science Education (SIGCSE) · doi:10.1145/3159450.3159526 · Cited by 46
Amelung, M., Piotrowski, M., & Rösner, D. (2006) · Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE) · doi:10.1145/1140124.1140150 · Cited by 46
An Introduction to the Study of Programming Languages
Barron, D. W. (1977) · Cited by 46
Proceedings of the Twelfth Australasian Conference on Computing Education - Volume 103
Clear, T., & Hamer, J. (2010) · Cited by 46
Textbooks on Qualitative Research and Method/Methodology: Toward a Praxis of Method
Roth, W. (2008) · Forum qualitative Sozialforschung · doi:10.17169/fqs-7.1.79 · Cited by 46
Facilitating independent learning with Lego Mindstorms robots
Lui, A. K.-F., Ng, S.-C., Cheung, Y. H. Y., & Gurung, P. (2010) · ACM Inroads · doi:10.1145/1869746.1869762 · Cited by 46
Kiesmüller, U. (2009) · ACM Transactions on Computing Education · doi:10.1145/1594399.1594402 · Cited by 46
A study of inverted classroom pedagogy in computer science teaching
Reza, S., & Baig, M. I. (2015) · International Journal of Research Studies in Educational Technology · doi:10.5861/ijrset.2015.1091 · Cited by 46
Fooling the user of a programming language
Plum, T. (1977) · Software Practice and Experience · doi:10.1002/spe.4380070210 · Cited by 46
Pasternak, A. (2016) · ACM Technical Symposium on Computer Science Education (SIGCSE) · doi:10.1145/2839509.2844592 · Cited by 46
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Recommendations for Designing CS Resource Sharing Sites for All Teachers
Leake, M., & Lewis, C. M. (2017) · ACM Technical Symposium on Computer Science Education (SIGCSE) · doi:10.1145/3017680.3017780 · Cited by 46
Computing Graduate Employability: Sharing Practice
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Computer science experimenter's kit for use in preschool and primary school
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A Review of Research on Constructivist-Based Strategies for Large Lecture Science Classes
Greer, U. C., & Ridge, D. W. (2002) · Cited by 45
Informatics in Education and Koli Calling: a Comparative Analysis
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The function, and dysfunction, of information sources in learning functional programming
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Proceedings 17th Conference On Software Engineering Education And Training
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Interactive visual simulators for beginning programming students
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Bringing the breadth of computer science to middle schools
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Community-based projects for computing majors
Stone, J. A., MacKellar, B., Madigan, E. M., & Pearce, J. L. (2012) · ACM Technical Symposium on Computer Science Education (SIGCSE) · doi:10.1145/2157136.2157166 · Cited by 42
Engineering the software requirements of nonprofits
Venkatagiri, S. (2006) · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · doi:10.1145/1134285.1134382 · Cited by 42
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Giannakos, M. N., Hubwieser, P., & Ruf, A. (2012) · Workshop in Primary and Secondary Computing Education · doi:10.1145/2481449.2481455 · Cited by 42
Social media in everyday learning
Klomsri, T., Grebäck, L., & Tedre, M. (2013) · Koli Calling International Conference on Computing Education Research · doi:10.1145/2526968.2526983 · Cited by 42
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Development and application of a web-based programming learning system with LED display kits
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Characteristic errors in programming languages
Gannon, J. D. (1978) · ACM Annual Conference · doi:10.1145/800178.810093 · Cited by 42
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The computer boys take over: computers, programmers, and the politics of technical expertise
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Enhancing eLearning: Using Computer Games to Teach Requirements Collection and Analysis.
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Active learning during lecture using tablets
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Camels and humps: a retraction
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Creative Computation in High School
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Searching for Barriers to Learning Iteration and Runtime in Computer Science
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A taxonomy of task types in computing
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The dimensions of variation in the teaching of data structures
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A Case Study of Physical Computing in Computer Science Education
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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
Musaeus, L. H., Tatar, D. G., & Musaeus, P. (2022) · Journal of Biological Education · doi:10.1080/00219266.2022.2118353 · Cited by 8
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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