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Cited by 7Teaching and Learning ProgrammingEducational Research and MethodsGender and Technology in Education

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.

Computing Education Research Today

Fincher, Sally A., Tenenberg, Josh, Dorn, Brian, Hundhausen, Christopher, McCartney, Robert, Murphy, Laurie·2019·The Cambridge Handbook of Computing Education Research
DOI 10.1017/9781108654555.003
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  1. Simon, 2008, 21st Annual Conference of the National Advisory Committee on Computing Qualifications (NACCQ 2008), 101
  2. Scribner, 1984, Everyday Cognition: Its Development in Social Context, 9
  3. Randolph, 2009, Trends, tribes, and territories in computer science education research, Journal for Computing Teachers, 1, 1
  4. Nelson, 2017, 2017 ACM Conference on International Computing Education Research (ICER ‘17), 2
  5. Parsons, 2006, 8th Australasian Conference on Computing Education – Volume 52 (ACE ‘06), 157
  6. Ginat, 2013, Proceedings of the 6th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives (ISSEP 2013), Lecture Notes in Computer Science 7780, 56
  7. Leutenegger, 2007, 38th SIGCSE Technical Symposium on Computer Science Education (SIGCSE ‘07), 115
  8. 10.1147/sj.202.0184 · DOI
  9. Seiter, 2013, Proceedings of the International Computing Education Research Conference (ICER 2013), 59
  10. Sirkiä, 2015, Proceedings of the Eleventh Annual International Conference on International Computing Education Research (ICER ‘15), 179
  11. Feaster, 2011, Proceedings of the 16th Annual Joint Conference on Innovation and Technology in Computer Science Education (ITiCSE 2011), 248
  12. Felleisen, 2001, How to Design Programs: An Introduction to Programming and Computing
  13. Brinda, 2009, Proceedings of the 14th Annual ACM SIGCSE Conference on Innovation and Technology in Computer Science Education (ITiCSE 2009), 289
  14. 10.28945/183 · DOI
  15. Sudol, L. A. (2011). Deepening Students Understanding of Algorithms: Effects of Problem Context and Feedback Regarding Algorithmic Abstraction (PhD thesis). Carnegie Mellon University.
  16. de Raadt, 2009, Proceedings of the Australasian Computing Education Conference (ACE), 45
  17. 10.1037/0003-066X.55.1.68 · DOI · Paper page
  18. Newell, 1972, Human Problem Solving
  19. Watson, 1930, Behaviorism
  20. Bischof, 2011, Proceedings of the 5th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives (ISSEP 2011), Lecture Notes in Computer Science 7013, 95
  21. Margolis, 2003, Unlocking the Clubhouse: Women in Computing
  22. Bers, 2018, Global Engineering Education Conference (EDUCON), 2094
  23. Dwyer, 2015, Proceedings of the Eleventh International Computing Education Research Conference (ICER 2015), 111
  24. 10.1145/800027.808439 · DOI
  25. Hubwieser, 2011, ITICSE-WGR ‘11: Proceedings of the 16th Annual Conference Reports on Innovation and Technology in Computer Science Education – Working Group Reports, 18
  26. Aho, 2011, Ubiquity
  27. McCall, 2014, Frontiers in Education Conference (FIE), 1
  28. Maxwell, 2017, Proceedings of the 48th ACM Technical Symposium on Computer Science Education (SIGCSE ‘17), 399
  29. Ben-Ari, 1998, 29th SIGCSE Technical Symposium on Computer Science Education (SIGCSE ‘98), 257
  30. Serafini, 2011, Proceedings of the 5th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives (ISSEP 2011), Lecture Notes in Computer Science 7013, 143
  31. Ebert, 2016, Global Engineering Education Conference
  32. 10.1145/1113847.1113893 · DOI
  33. Hasemer, T. (1983). An Empirically-based Debugging System for Novice Programmers (Open University Technical Report No. 6) (PhD thesis). The Open University.
  34. Resnick, 1990, LEGO/LOGO – Learning through and about Design
  35. 10.1080/08993400701483517 · DOI
  36. Lewis, C. M. (2012b). Applications of Out-of-Domain Knowledge in Students’ Reasoning about Computer Program State (PhD dissertation). University of California, Berkeley.
  37. Seehorn, 2011, K–12 Computer Science Standards – Revised 2011
  38. Teague, D. (2015) Neo-Piagetian Theory and the Novice Programmer (doctoral thesis). Queensland University of Technology.
  39. Fisler, 2017, Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education (SIGCSE 2017), 21
  40. 2010, Report of a Workshop on the Scope and Nature of Computational Thinking
  41. Downes, 2001, Making Better Connections: Models of Teacher Professional Development for the Integration of Information and Communication Technology into Classroom Practice
  42. Barik, 2017, International Conference on Software Engineering (ICSE), 575
  43. O’Malley, 2004, Literature Review in Learning with Tangible Technologies. A NESTA Futurelab Research report – Report 12
  44. Fougnie, 2008, New Research on Short-Term Memory, 1
  45. Politz, 2014, 10th Annual Conference on International Computing Education Research (ICER ‘14), 11
  46. Dorling, 2015, IFIP 2015: A New Culture of Learning: Computing and Next Generations, 1
  47. 10.1145/6592.6595 · DOI
  48. Brewer, 2000, Proceedings of the 19th Annual ACM Symposium on Principles of Distributed Computing (PODC ‘00)
  49. Porter, 2013, 44th ACM Technical Symposium on Computer Science Education (SIGCSE ‘13), 165
  50. Carswell, 1997, Proceedings of the 2nd Conference on Integrating Technology into Computer Science Education (ITiCSE ‘97), 1
  51. Pirker, 2014, 2014 Conference on Innovation and Technology in Computer Science Education (ITiCSE ‘14), 297
  52. Skudder, 2014, Proceedings of the Sixteenth Australasian Computing Education Conference-Volume 148, 59
  53. Bootstrap (2018). Data Science Curriculum (Spring 2018 edition). Retrieved from www.bootstrapworld.org/materials/spring2018/courses/data-science/english/
  54. 2005, How Students Learn: Science in the Classroom
  55. Bransford, 2000, How People Learn: Brain, Mind, Experience, and School
  56. Jensen, 1998, The g Factor
  57. Druin, 2011, CHI EA ‘11: CHI ‘11 Extended Abstracts on Human Factors in Computing Systems, 693
  58. Tew, 2011, ACM Technical Symposium on Computer Science Education, 111
  59. Simon, 2008, Proceedings of the Fourth International Workshop on Computing Education Research, 61
  60. 10.1017/CBO9780511815355 · DOI · Paper page
  61. Bourdieu, 1992, An Invitation to Reflexive Sociology, 216
  62. Kapp, 2012, The Gamification of Learning and Instruction: Game-Based Methods and Strategies for Training and Education
  63. 10.1145/2787622.2787724 · DOI
  64. Lang, 2014, Proceedings of the Australasian Computing Education Conference (ACE 2014), 149
  65. Alam, 2004, Beyond the Comfort Zone: Proceedings of the 21st ASCILITE Conference, 48
  66. Biggs, 1982, Evaluating the Quality of Learning: The SOLO Taxonomy (Structure of the Observed Learning Outcome)
  67. Newell, 1957, Proceedings of the Western Joint Computer Conference, Vol. 15, 218
  68. Pohl, 2004, Cognitive Illusions: A Handbook on Fallacies and Biases in Thinking, Judgement and Memory
  69. Rudman, P. (2002). Investigating Domain Information as Dynamic Support for the Learner During Spoken Conversations (PhD thesis). University of Birmingham.
  70. Tessler, 2013, Proceedings of the International Computing Education Research Conference (ICER 2013), 161
  71. Wei, 2010, Professional Development in the United States: Trends and Challenges
  72. Eckerdal, 2005, Proceedings of the First International Workshop on Computing Education Research, 135
  73. Kandiko, 2013, Student Expectations and Perceptions of Higher Education
  74. 10.1016/S0020-7373(74)80004-0 · DOI
  75. Simon, 2008, 21st Annual Conference of the National Advisory Committee on Computing Qualifications (NACCQ 2008), 101
  76. Robins, 2006, Proceedings of the Eighth Australasian Computing Education Conference (ACE2006), CRPIT, 52, 165
  77. Fisler, 2017, Proceedings of the ACM Symposium on Computer Science Education (SIGCSE)
  78. 10.3102/0013189X027005014 · DOI
  79. Wittie, 2017, Frontiers in Education Conference (FIE), 1
  80. Johnson-Laird, 1983, Mental Models: Towards a Cognitive Science of Language, Inference and Consciousness
  81. Horton, 2015, 46th ACM Technical Symposium on Computer Science Education (SIGCSE ‘15), 235
  82. 10.2190/689T-1R2A-X4W4-29J2 · DOI
  83. Felleisen, 2014, How to Design Programs
  84. Leont’ev, 1932, Studies in the cultural development of the child, 3: The development of voluntary attention in the child, Journal of Genetic Psychology, 37, 52
  85. Sirkiä, 2016, 16th Koli Calling International Conference on Computing Education Research (Koli Calling ‘16), 155
  86. Beck, 2013, Cooperative learning instructional methods for CS1: Design, implementation, and evaluation, Transactions on Computing Education (TOCE), 13, 10
  87. Stern, 2002, The Drama of the Commons, 445
  88. Román-González, 2015, Proceedings of the 7th Annual International Conference on Education and New Learning Technologies (EDULEARN 2015), 2436
  89. Duval-Couetil, 2010, Frontiers in Education Conference
  90. 10.1145/234867.234872 · DOI
  91. Vygotsky, 1929, The problem of the cultural development of the child, II, Journal of Genetic Psychology, 36
  92. Firmin, 2012, 14th Australasian Computing Education Conference – Volume 123 (ACE ‘12), 157
  93. Dekeyser, 2007, Proceedings of the Eighteenth Conference on Australasian Database – Volume 63, 53
  94. Kurland, 1989, Studying the Novice Programmer, 83
  95. Socha, 2016, Proceedings of the 38th International Conference on Software Engineering Companion (ICSE ‘16), 797
  96. Weintrop, 2018, Proceedings of the 13th International Conference of the Learning Sciences
  97. Schocken, 2004, Proceedings of the 34th Annual Conference on Frontiers in Education
  98. Guo, 2013, 44th ACM Technical Symposium on Computer Science Education (SIGCSE ‘13), 579
  99. 10.1145/1151588.1151600 · DOI
  100. Carter, 2017, Proceedings of the 48th ACM Technical Symposium on Computer Science Education, 105
  101. Vygotsky, 1978, Mind in Society
  102. McDonald, J. H (2015). Handbook of Biological Statistics (online edition). Retrieved from www.biostathandbook.com/multiplecomparisons.html
  103. Luxton-Reilly, 2012, 43rd ACM Technical Symposium on Computer Science Education (SIGCSE ‘12), 391
  104. Hitchens, 2009, Proceedings of the Eleventh Australasian Conference on Computing Education (ACE ‘09), 93
  105. Whalley, 2006, Proceedings of the 8th Australian Conference on Computing Education (ACE ‘06), 243
  106. Vansledright, 2010, Social Studies Today: Research and Practice, 113
  107. Twyman, 2014, The Wiley Blackwell Handbook of Operant and Classical Conditioning, 553
  108. Ben-Bassat Levry, 2015, Proceedings of the 8th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives (ISSEP 2015), Lecture Notes in Computer Science 9378, 22
  109. Simon, 2006, Proceedings of the 8th Australasian Conference on Computing Education Volume 52, 189
  110. 2017, Machine Learning: The Power and Promise of Computers That Learn by Example
  111. 2013, Computer Science Curricula 2013
  112. Miller, 2017, LIPIcs-Leibniz International Proceedings in Informatics
  113. Merkouris, 2017, Teaching programming in secondary education through embodied computing platforms: Robotics and wearables, ACM Transactions on Computing Education (TOCE), 17, 9.1
  114. Clarke, 2014, Working Group Reports of the 2014 Innovation and Technology in Computer Science Education Conference (ITiCSE-WGR ‘14), 59
  115. 10.1207/s1532690xci1203_2 · DOI
  116. Vygotsky, 1978, Mind in Society
  117. 10.3102/00346543060001065 · DOI
  118. Shinners-Kennedy, 2015, 6th Research in Engineering Education Symposium, 504
  119. Ahonen, L. , Cowley, B. , Torniainen, J. , Ukkonen, A. , Vihavainen, A. , & Puolamaki, K. (2016). S1: Analysis of Electrodermal Activity Recordings in Pair Programming from 2 Dyads, PLoS One. Retrieved from http://journals.plos.org/plosone/article/asset?unique&id=info:doi/10.1371/journal.pone.0159178.s001 · DOI
  120. Fincher, 2004, Computer Science Education Research
  121. Baker, 2015, Proceedings of the ACM Conference on Human Factors in Computing Systems
  122. Trenshaw, 2016, Using Self Determination Theory principles to promote engineering students’ intrinsic motivation to learn, International Journal of Engineering Education, 32, 1194
  123. Ishii, 1997, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 234
  124. Fisler, 2014, Proceedings of the International Computing Education Research Conference (ICER 2014), 35
  125. 10.1145/1345375.1345441 · DOI
  126. 10.1017/S0140525X01003922 · DOI · Paper page
  127. Denny, 2014, Proceedings of the SIGCSE Conference on Innovation and Technology in Computer Science Education (ITiCSE)
  128. Clancy, 2004, Computer Science Education Research, 85
  129. McCracken, 2001, Proceedings of the 6th Annual Conference on Innovation and Technology in Computer Science Education, Working Group Reports (ITiCSE-WGR ’01), 125
  130. 2011, Committee for the Workshops on Computational Thinking: Report of a Workshop of Pedagogical Aspects of Computational Thinking
  131. Steiner, 1984, Erziehungskunst. Seminarbesprechungen und Lehrplanvorträge
  132. Papert, 1980, Mindstorms: Children, Computers, and Powerful Ideas
  133. Romero, 2009, VMR ‘09 Proceedings of the 3rd International Conference on Virtual and Mixed Reality: Held as Part of HCI International 2009, 97
  134. Brennan, 2012, Annual Meeting of the American Educational Research Association, 1
  135. O’Donnell, 2009, 14th Annual Australasian Teaching Economics Conference (ATEC 2009), 190
  136. Fincher, 2005, Proceedings of the First International Conference on Computing Education Research, 111
  137. Ching, 2005, Conference on Computer Support for Collaborative Learning: Learning 2005: The Next 10 Years! (CSCL), 63
  138. Lishinski, 2016, Proceedings of the 12th Annual International ACM Conference on International Computing Education Research (ICER ‘16), 211
  139. Pea, 1984, On the Cognitive Prerequisites of Learning Computer Programming. Technical Report No. 18
  140. Bornat, 2008, Proceedings of the Tenth Australasian Computing Education Conference (ACE 2008), 53
  141. 10.1207/s15516709cog2101_1 · DOI · Paper page
  142. 2016, From Bricks to Clicks: The Potential of Data and Analytics in Higher Education
  143. Sanders, 2017, 2017 ACM Conference on International Computing Education Research (ICER ‘17), 145
  144. Maher, 2015, 46th ACM Technical Symposium on Computer Science Education (SIGCSE ‘15), 218
  145. Ohland, 2004, Frontiers in Education Conference
  146. Waite, 2017, Pedagogy in Teaching Computer Science in Schools: A Literature Review
  147. Dominguez, 2010, Proceedings of International Conference on Educational Data Mining, 91
  148. Koh, 2014, Visual Languages and Human-Centric Computing (VL/HCC), 49
  149. Sysło, 2014, Reflections on the History of Computers in Education. IFIP Advances in Information and Communication Technology, 266
  150. Zhu, 2014, ASEE Annual Conference
  151. Rizzardini, 2017, 4th ACM Conference on Learning @ Scale (L@S ‘17), 145
  152. Gilb, 1993, Software Inspection
  153. 10.1145/1592761.1592779 · DOI · Paper page
  154. Pettit, 2017, Proceedings of the ACM Symposium on Computer Science Education (SIGCSE), 465
  155. Seiter, 2013, Proceedings of the 9th Annual International ACM Conference on International Computing Education Research (ICER’13), 59
  156. Bayne, 2014, The Pedagogy of the Massive Open Online Course: The UK view
  157. Papert, 1980, Mindstorms: Children, Computers and Powerful Ideas
  158. Hertz, 2013, 44th ACM Technical Symposium on Computer Science Education (SIGCSE ‘13), 561
  159. 10.1145/3159450.3159498 · DOI
  160. Green, 1992, Human–Computer Interaction: Tasks and Organisation, Proceedings EECE-6 (6th European Conference on Cognitive Ergonomics), 167
  161. de Raadt, 2002, Proceedings of Informing Science, 329
  162. Spohrer, 1989, Studying the Novice Programmer, 401
  163. Thompson, 2008, Proceedings of the Tenth Conference on Australasian Computing Education (ACE ‘08), 155
  164. Fisler, 2016, Proceedings of the ACM Symposium on Computer Science Education (SIGCSE)
  165. Soloway, 1983, Directions in Human–Computer Interactions, 27
  166. Leonard, 2013, The Brilliance of Black Children in Mathematics
  167. Reich, 2018, Who We Are and How We Got Here: Ancient DNA and the New Science of the Human Past
  168. Garner, 2002, Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications, 578
  169. Hislop, 2015, Proceedings of the Eleventh Annual International Conference on International Computing Education Research (ICER ‘15), 199
  170. Spohrer, 1989, Studying the Novice Programmer, 355
  171. Sorva, 2013, Notional machines and introductory programming education, Transactions on Computing Education (TOCE), 13
  172. Carbone, 2002, 7th Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE ‘02), 213
  173. 10.1145/2632320.2632344 · DOI
  174. Searle, 2014, Proceedings of the International Computing Education Research Conference (ICER 2014), 75
  175. 10.1207/s15516709cog1904_3 · DOI
  176. 10.1145/2538862.2538938 · DOI
  177. Klaus-Dieter, G. (2018). Eye Movements in Programming Education Workshops. Retrieved from www.mi.fu-berlin.de/en/inf/groups/ag-ddi/Gaze_Workshop/index.html
  178. 10.1145/1404520.1404531 · DOI · Paper page
  179. 10.1145/1352135.1352218 · DOI
  180. 10.1145/1839594.1839613 · DOI
  181. 2013, Education and Training Monitor
  182. Brennan, 2009, CSCL’09: Proceedings of the 9th International Conference on Computer Supported Collaborative Learning, 217
  183. 10.1145/2538862.2538903 · DOI · Paper page
  184. 10.1080/07370000802212669 · DOI · Paper page
  185. Xambó, 2017, Tangible and Embedded Interaction, 351
  186. Garcia, R. A. (1987). Identifying the Academic Factors that Predict the Success of Entering Freshmen in a Beginning Computer Science Course (doctoral dissertation). Texas Tech University.
  187. 2000, How People Learn: Brain, Mind, Experience, and School
  188. 10.1016/S0020-7373(74)80004-0 · DOI
  189. Decker, 1994, Proceedings of the ACM Symposium on Computer Science Education (SIGCSE), 51
  190. Myers, 1991, ACM Symposium on User Interface Software and Technology, 211
  191. Aronson, 1978, The Jigsaw Classroom
  192. 10.1145/3105726.3106173 · DOI
  193. 10.1037/a0016239 · DOI · Paper page
  194. Shulman, 2005, Pedagogies, Liberal Education, 91, 18
  195. 10.1145/1592761.1592779 · DOI · Paper page
  196. 10.1145/2960310.2960312 · DOI
  197. 10.1002/sce.21157 · DOI
  198. Subramanian, 1996, Computer aptitude tests as predictors of novice computer programmer performance, Journal of Information Technology Management, 7, 31
  199. Luxton-Reilly, 2010, 11th International Conference of the NZ Chapter of the ACM Special Interest Group on Human-Computer Interaction (CHINZ ‘10), 65
  200. Román-Gonzáles, 2017, Proceedings of the International Conference on Computational Thinking Education (CTE2017), 154

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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
DOI
10.1017/9781108654555.003
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
Licence
www.cambridge.org/core/terms (unspecified)
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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