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Value creation in online communities for educators
Booth, S. E., & Kellogg, S. (2014) · British Journal of Educational Technology · doi:10.1111/bjet.12168 · Cited by 117
Foundations of the Learning Sciences
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Experimental Evaluation of Automatic Hint Generation for a Logic Tutor
Stamper, J. C., Eagle, M. J., Barnes, T. M., & Croy, M. J. (2013) · International Journal of Artificial Intelligence in Education · doi:10.3233/jai-130029 · Cited by 117
MultiLogo: A Study of Children and Concurrent Programming
Resnick, M. (1990) · Interactive Learning Environments · doi:10.1080/104948290010301 · Cited by 117
Exploring studio-based instructional models for computing education
Hundhausen, C. D., Narayanan, N. H., & Crosby, M. E. (2008) · ACM Technical Symposium on Computer Science Education (SIGCSE) · doi:10.1145/1352135.1352271 · Cited by 117
Self-citationWarner, J., & Guo, P. J. (2017) · ACM Conference on International Computing Education Research (ICER) · doi:10.1145/3105726.3106174 · Cited by 117
LEGO Engineer and RoboLab: Teaching Engineering with LabVIEW from Kindergarten to Graduate School*
Erwin, B., Cyr, M. N., & Rogers, C. (2000) · Cited by 116
Garner, S., Haden, P., & Robins, A. V. (2005) · Australasian Computing Education Conference · Cited by 116
CS majors' self-efficacy perceptions in CS1: results in light of social cognitive theory
Kinnunen, P., & Simon, B. (2011) · Proceedings of the seventh international workshop on Computing education research · doi:10.1145/2016911.2016917 · Cited by 116
Computer Science Unplugged and Related Projects in Math and Computer Science Popularization
Bell, T., Rosamond, F., & Casey, N. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-30891-8_18 · Cited by 116
Hermans, F., & Aivaloglou, E. (2017) · Workshop in Primary and Secondary Computing Education · doi:10.1145/3137065.3137072 · Cited by 116
Proceedings of the 41st ACM technical symposium on Computer science education
Lewandowski, G., Wolfman, S. A., Cortina, T. J., Walker, E., & Musicant, D. R. (2010) · doi:10.1145/1734263 · Cited by 116
A blind person's interactions with technology
Shinohara, K., & Tenenberg, J. (2009) · Communications of the ACM · doi:10.1145/1536616.1536636 · Cited by 115
Self-citationRist, R. S. (1995) · Cognitive Science · doi:10.1016/0364-0213(95)90009-8 · Cited by 115
Chronological and Ontological Development of Engineering Education as a Field of Scientific Inquiry
Froyd, J. E., & Lohmann, J. R. (2014) · Cambridge University Press eBooks · doi:10.1017/cbo9781139013451.003 · Cited by 115
An empirical view of inheritance
Cartwright, M. (1998) · Information and Software Technology · doi:10.1016/s0950-5849(98)00105-0 · Cited by 115
Searle, K. A., & Kafai, Y. B. (2015) · doi:10.1145/2787622.2787724 · Cited by 114
Extending the Engagement Taxonomy
Myller, N., Bednarik, R., Sutinen, E., & Ben‐Ari, M. (2009) · ACM Transactions on Computing Education · doi:10.1145/1513593.1513600 · Cited by 114
Turnaround time and market capacity in contract cheating
Wallace, M. J., & Newton, P. M. (2014) · Educational Studies · doi:10.1080/03055698.2014.889597 · Cited by 114
A Comparison of Source Code Plagiarism Detection Engines
Lancaster, T., & Culwin, F. (2004) · Computer Science Education · doi:10.1080/08993400412331363843 · Cited by 113
Tracing software developers' eyes and interactions for change tasks
Kevic, K., Walters, B. M., Shaffer, T., Sharif, B., Shepherd, D. C., & Fritz, T. (2015) · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) · doi:10.1145/2786805.2786864 · Cited by 113
Using scalable game design to teach computer science from middle school to graduate school
Basawapatna, A. R., Koh, K. H., & Repenning, A. (2010) · doi:10.1145/1822090.1822154 · Cited by 113
Pattern-oriented instruction and its influence on problem decomposition and solution construction
Muller, O., Ginat, D., & Haberman, B. (2007) · Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE) · doi:10.1145/1268784.1268830 · Cited by 113
Formative feedback within plagiarism education: Is there a role for text-matching software?
Davis, M., & Carroll, J. (2009) · International Journal for Educational Integrity · doi:10.21913/ijei.v5i2.614 · Cited by 113
Translating Principles of Effective Feedback for Students into the CS1 Context
Ott, C., Robins, A. V., & Shephard, K. L. (2016) · ACM Transactions on Computing Education · doi:10.1145/2737596 · Cited by 113
Visions of Computer Science Education
Vogel, S., Santo, R., & Ching, D. (2017) · ACM Technical Symposium on Computer Science Education (SIGCSE) · doi:10.1145/3017680.3017755 · Cited by 113
The Development of Higher Psychological Functions
Vygotsky, L. S. (1977) · Soviet Review · doi:10.2753/rss1061-1428180338 · Cited by 113
Students, teachers and phenomena
Diethelm, I., Hubwieser, P., & Klaus, R. (2012) · Koli Calling International Conference on Computing Education Research · doi:10.1145/2401796.2401823 · Cited by 113
Race Wrestling: Struggling Strategically with Race in Educational Practice and Research
Pollock, M. (2004) · American Journal of Education · doi:10.1086/424719 · Cited by 113
Web-based lecture technologies: Highlighting the changing nature of teaching and learning
Preston, G., Phillips, R., Gosper, M. V., McNeill, M. A., Woo, K., & Green, D. G. (2010) · Australasian Journal of Educational Technology · doi:10.14742/ajet.1038 · Cited by 113
The recurring rainfall problem
Fisler, K. (2014) · doi:10.1145/2632320.2632346 · Cited by 112
What do novices learn during program comprehension?
Corritore, C. L., & Wiedenbeck, S. (1991) · International Journal of Human-Computer Interaction · doi:10.1080/10447319109526004 · Cited by 112
Applied behavior analysis in education
Cooper, J. O. (1982) · Theory Into Practice · doi:10.1080/00405848209542992 · Cited by 112
Hundhausen, C. D., Agrawal, A., & Agarwal, P. (2013) · ACM Transactions on Computing Education · doi:10.1145/2499947.2499951 · Cited by 112
Self-citationRyoo, J. J., Goode, J., & Margolis, J. (2015) · Computer Science Education · doi:10.1080/08993408.2015.1130952 · Cited by 112
Student experiences using GitHub in software engineering courses
Feliciano, J., Storey, M., & Zagalsky, A. (2016) · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · doi:10.1145/2889160.2889195 · Cited by 112
A psychology of learning BASIC
Mayer, R. E. (1979) · Communications of the ACM · doi:10.1145/359168.359171 · Cited by 112
Creating an Instrument to Measure Leadership, Change, and Synthesis in Engineering Undergraduates
Ahn, B., Cox, M., London, J., Çekiç, O., & Zhu, J. (2014) · Journal of Engineering Education · doi:10.1002/jee.20036 · Cited by 112
Hazzan, O. (2003) · Computer Science Education · doi:10.1076/csed.13.2.95.14202 · Cited by 111
An empirical study of the effects of personality in pair programming using the five-factor model
Salleh, N., Mendes, E., Grundy, J., & Burch, G. S. J. (2009) · Proceedings of the ... ACM-IEEE International Symposium on Empirical Software Engineering and Measurement/International Symposium on Empirical Software Engineering and Measurement · doi:10.1109/esem.2009.5315997 · Cited by 111
Exploring what university teachers think about education for sustainability
Shephard, K. L., & Furnari, M. (2012) · Studies in Higher Education · doi:10.1080/03075079.2011.644784 · Cited by 111
Transferring Skills at Solving Word Problems from Computing to Algebra Through Bootstrap
Schanzer, E., Fisler, K., Krishnamurthi, S., & Felleisen, M. (2015) · ACM Technical Symposium on Computer Science Education (SIGCSE) · doi:10.1145/2676723.2677238 · Cited by 111
Use of Research-Based Instructional Strategies in Core Chemical Engineering Courses.
Prince, M. J., Borrego, M. J., Henderson, C., Cutler, S. L., & Froyd, J. (2013) · Cited by 111
Predicting student success using fine grain clicker data
Porter, L., Zingaro, D., & Lister, R. (2014) · ACM Conference on International Computing Education Research (ICER) · doi:10.1145/2632320.2632354 · Cited by 110
Scientific Racism: The Cloak of Objectivity
Fairchild, H. H. (1991) · Journal of Social Issues · doi:10.1111/j.1540-4560.1991.tb01825.x · Cited by 110
Mental models and computer programming
Cañas, J. J., Bajo, M. T., & Gonzalvo, P. (1994) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.1994.1038 · Cited by 110
The ergonomics of learning: educational design and learning performance
Smith, T. J. (2007) · Ergonomics · doi:10.1080/00140130701587608 · Cited by 110
Modeling Individual Differences in Students' Learning Strategies
Recker, M. M., & Pirolli, P. L. T. (1995) · Journal of the Learning Sciences · doi:10.1207/s15327809jls0401_1 · Cited by 110
Pascal and High School Students: A Study of Errors
Sleeman, D. H., Putnam, R. T., Baxter, J. A., & Kuspa, L. K. (1986) · Journal of Educational Computing Research · doi:10.2190/2xpp-ltyh-98nq-bu77 · Cited by 110
Validating the unit correctness of spreadsheet programs
Antoniu, T., Steckler, P. A., Krishnamurthi, S., Neuwirth, E., & Felleisen, M. (2004) · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · doi:10.1109/icse.2004.1317466 · Cited by 110
Vakil, S. (2014) · Equity & Excellence in Education · doi:10.1080/10665684.2014.866869 · Cited by 109
Comparing the Effectiveness of Online Learning Approaches on CS1 Learning Outcomes
Lee, M. J., & Ko, A. J. (2015) · ACM Conference on International Computing Education Research (ICER) · doi:10.1145/2787622.2787709 · Cited by 109
On blooming first year programming, and its blooming assessment
Lister, R. (2000) · doi:10.1145/359369.359393 · Cited by 109
Dorn, B., & Guzdial, M. (2010) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1753326.1753430 · Cited by 109
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Pedagogy and Space: Empirical Research on New Learning Environments.
Walker, J. D., Brooks, D., & Baepler, P. (2011) · The EDUCAUSE quarterly/EDUCAUSE quarterly · Cited by 109
Developing a Two-Dimensional Categorization System for Educational Tasks in Informatics
Dagienė, V., Sentance, S., & Stupurienė, G. (2017) · Informatica · doi:10.15388/informatica.2017.119 · Cited by 109
A decade of research and development on program animation: The Jeliot experience
Ben‐Ari, M., Bednarik, R., Levy, R. B.-B., Ebel, G., Moreno, A., Myller, N., & Sutinen, E. (2011) · Journal of Visual Languages & Computing · doi:10.1016/j.jvlc.2011.04.004 · Cited by 108
How Equity and Inequity Can Emerge in Pair Programming
Lewis, C. M., & Shah, N. (2015) · ACM Conference on International Computing Education Research (ICER) · doi:10.1145/2787622.2787716 · Cited by 108
Johnson, A. M., Özoğul, G., Moreno, R., & Martin Reisslein, B. (2013) · Journal of Engineering Education · doi:10.1002/jee.20009 · Cited by 108
Kunkle, W. M., & Allen, R. B. (2016) · ACM Transactions on Computing Education · doi:10.1145/2785807 · Cited by 108
Implementing CRA With Secondary Students With Learning Disabilities in Mathematics
Witzel, B. S., Riccomini, P. J., & Schneider, E. (2008) · Intervention in School and Clinic · doi:10.1177/1053451208314734 · Cited by 108
Exploring the underlying aspects of pair programming: The impact of personality
Choi, K. S., Deek, F. P., & Im, I. (2007) · Information and Software Technology · doi:10.1016/j.infsof.2007.11.002 · Cited by 108
The Making of Blind Men: A Study of Adult Socialization
Newell, F. W. (1969) · American Journal of Ophthalmology · doi:10.1016/0002-9394(69)91274-4 · Cited by 108
The widespread misuse of effect sizes
Dankel, S. J., Mouser, J. G., Mattocks, K. T., Counts, B. R., Jessee, M. B., Buckner, S. L., Loprinzi, P. D., & Loenneke, J. P. (2016) · Journal of science and medicine in sport · doi:10.1016/j.jsams.2016.10.003 · Cited by 107
Teaching objects-first in introductory computer science
Cooper, S., Dann, W. P., & Pausch, R. F. (2003) · ACM SIGCSE Bulletin · doi:10.1145/792548.611966 · Cited by 107
Grading student programs using ASSYST
Jackson, D., & Usher, M. (1997) · ACM SIGCSE Bulletin · doi:10.1145/268085.268210 · Cited by 107
Language Semantics, Mental Models and Analogy
Hoc, J., & Nguyen‐Xuan, A. (1990) · Elsevier eBooks · doi:10.1016/b978-0-12-350772-3.50014-8 · Cited by 107
Predicting student performance in a beginning computer science class
Werth, L. H. (1986) · ACM SIGCSE Bulletin · doi:10.1145/953055.5701 · Cited by 107
Perspectives and Visions of Computer Science Education in Primary and Secondary (K-12) Schools
Hubwieser, P., Armoni, M., Giannakos, M. N., & Mittermeir, R. T. (2014) · ACM Transactions on Computing Education · doi:10.1145/2602482 · Cited by 107
High-tech tots: childhood in a digital world
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Rist, R. S. (1991) · Human-Computer Interaction · doi:10.1207/s15327051hci0601_1 · Cited by 106
But My Program Runs! Discourse Rules for Novice Programmers
Joni, S.-N. A., & Soloway, E. M. (1986) · Journal of Educational Computing Research · doi:10.2190/6e5w-ar7c-nx76-hut2 · Cited by 106
Learning from worked-examples in mathematics: students relate procedures to principles
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The preparatory effects of problem solving versus problem posing on learning from instruction
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Children and Microcomputers: Research on the Newest Medium
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Analysis of Interactive Features Designed to Enhance Learning in an Ebook
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Pair programming and the mysterious role of the navigator
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Towards Data-Driven Learning Paths to Develop Computational Thinking with Scratch
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Eliminating Gender Bias in Computer Science Education Materials
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Using app inventor in a K-12 summer camp
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2011 Frontiers in Education Conference (FIE)
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Strategic counting: A novel assessment of place-value understanding
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EducationTeaching computing to everyone
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Predicting student success in an introductory programming course
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Automatic Inference of Programming Performance and Experience from Typing Patterns
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STAFF AND PEER ASSESSMENT ‐ MEASURING AN INDIVIDUAL'S CONTRIBUTION TO GROUP PERFORMANCE
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Theoretical underpinnings of computing education research
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Proceedings of the 3rd international conference on Software engineering
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The Evolution of Curricular Change Models within the Foundation Coalition
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A game-based approach to the teaching of object-oriented programming languages
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Assessing Learners in Higher Education
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In-game assessments increase novice programmers' engagement and level completion speed
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Beacons in computer program comprehension
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Novice Java Programming Mistakes
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Learning programming via worked-examples: Relation of learning styles to cognitive load
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A Pedagogical Analysis of Online Coding Tutorials
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How do students solve parsons programming problems?
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Concept inventories in computer science for the topic discrete mathematics
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A controlled experiment to assess the benefits of procedure argument type checking
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Cloning Cultural Homogeneity While Talking Diversity: Old Wine in New Bottles in Dutch Organizations
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Collaboration, Collusion and Plagiarism in Computer Science Coursework
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A comprehensive text analysis of lecture slides to generate concept maps
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Success and Diversity: The Transition through First-Year Calculus in the University
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Source Code Plagiarism—A Student Perspective
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Strategies for Maintaining Academic Integrity in First-Year Computing Courses
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Diversity's Promise for Higher Education: Making It Work
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Remedying misperceptions of computer science among middle school students
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Can peer instruction be effective in upper-division computer science courses?
Lee, C. B., Garcia, S., & Porter, L. (2013) · ACM Transactions on Computing Education · doi:10.1145/2499947.2499949 · Cited by 97
Design and First Results of a Psychometric Test for Measuring Basic Programming Abilities
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What Do We Teach When We Teach the Learning Sciences? A Document Analysis of 75 Graduate Programs
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African American men constructing computing identity
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The TeachScheme! Project: Computing and Programming for Every Student
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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
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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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