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Course development through student-faculty collaboration: a case study

Published: 21 June 2014 Publication History

Abstract

Traditionally, faculty plan and implement courses with students as the target audience, based upon educational goals and objectives. With today's interest in active learning, faculty try to anticipate activities that will resonate with students. This paper presents a different model that utilizes faculty-student collaboration for course development -- in this case, creating an introductory C-based course on imperative problem solving with robots as an application theme. Basing development on course goals and objectives, a faculty member works with a development team of undergraduate students to structure course content, prepare materials (e.g., readings, laboratory exercises, projects), and test each element of the course. In subsequent semesters, students taking the course provide feedback on all materials, the development team updates materials, and the refinement process iterates. The resulting course meets goals and objectives, provides wonderful motivation, and highlights creativity and intellectual challenge within computer science as well as syntax, semantics, and core technical skills.
This paper builds upon a previous report (SIGCSE 2013 Proceedings, pp. 27-32), by highlighting the course development process and providing data that assess course effectiveness. The resulting course has been identified as an "exemplar" by CS Curricula 2013 (pp. 454-455, 458-459), providing a strong second course in a three-course, multi-paradigm introductory sequence that emphasizes a lab-based approach with collaborative learning. Course materials at co-author Walker's home page.

References

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ACM/IEEE-CS Joint Task Force on Computing Curricula. 2013. Computer Science Curricula 2013. ACM Press and IEEE Computer Society Press.
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Beck, L.L, and W. Chizhik, A. "An Experimental Study of Coopeative Learning in CS 1?, SIGCSE Bulletin inroads, 40 (1), March 2008, pp. 205--209.
[3]
Cowden, D., O'Neill, A., Opavsky, E., Ustek, D., and Walker, H. M., "A C-based introductory course using robots", Proceedings of the 43rd ACM Technical Symposium on Computer Science Education (SIGCSE 2012), March 2012, p. 27--32.
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Guzdial, M. and Ericson, B., Introduction to Computing & Programming Algebra in Java(c) A Multimedia Approach, Prentice Hall, 2007.
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Herman, E. A, Pepe, M. D., and Moore, R. T., "Linear Algebra: Modules for Interactive Learning Using Maple", The Linear Algebra Modules Project (LAMP), Addison-Wesley Publishing Company, 2000.
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King, K. N., C Programming: A Modern Approach, Second Edition, W. W. Norton, 2008.
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Kumar, D., Learning Computing with Robots, Fall 2011. Textbook available at http://wiki.roboteducation.org/Learning_Computing_With_Robots_Using_Calico_Python
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Kumar, D. (ed.), Learning Computing With Robots in C++, January 2011. Textbook available at http://web.eecs.utk.edu/~mclennan/Classes/102/LCRcpp/index.html
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Liberal Arts Computer Science Consortium, "A 2007 Model Curriculum for a liberal arts degree in computer science", Journal on Educational Resources in Computing (JERIC), 7 (2), June 2007.
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McConnell, J. J., "Active and Cooperative Learning: Final Tips and Tricks", SIGCSE Bulletin inroads, Part I (Vol 37 (2), June 2005, pp. 27--30); Part II (Vol 37 (4), December 2005, pp. 34--38); Part III (Vol 38 (2), June 2006, pp. 24--28); Part IV (Vol 39 (4), December 2006, pp. 25--28).
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Misra, A., Blank, D., and Kumar, D., "A Music Context for Teaching Introductory Computing", ACM SIGCSE Bulletin/ ITiCSE 2009, 41 (3), September 2009, 248--252 .
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Rebelsky, S. A, Davis, J., and Weinman, J. "Building Knowledge and Confidence with Mediascripting: A Successful Interdisciplinary Approach to CS1", Proceedings of the 44th ACM Technical Symposium on Computer Science Education (SIGCSE 2013), March 2013, p. 483--488.
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Summet, J., et al., "Personalizing CS1 with Robots", Proceedings of the 40th ACM Technical Symposium on Computer Science Education (SIGCSE 2009), March 2012, p. 433--437.
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Walker, H. M., "Collaborative learning: a case study for CS1 at Grinnell College and UT-Austin", Proceedings of the 28th ACM Technical Symposium on Computer Science Education (SIGCSE 1997), March 1997, p.209--213
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Walker, H. M., "A lab-based approach for introductory computing that emphasizes collaboration", Proceedings of the Computer Science Education Research Conference (CSERC '11), Heerlen, the Netherlands, pp. 21--31.
[20]
Walker, H. M., Ustek, D., Opavsky, E.' O'Neill, A., Cowden, D., http://www.cs.grinnell.edu/~walker/courses/161.sp14/

Cited By

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  • (2021)Evidence for Teaching Practices that Broaden Participation for Women in ComputingProceedings of the 2021 Working Group Reports on Innovation and Technology in Computer Science Education10.1145/3502870.3506568(57-131)Online publication date: 28-Dec-2021
  • (2016)Student-faculty collaboration in developing and testing infrastructure for a C-based course using robotsJournal of Computing Sciences in Colleges10.5555/3007225.300723932:1(57-64)Online publication date: 1-Oct-2016
  • (2015)A refined C-based infrastructure and curriculum to support robots in introductory CSJournal of Computing Sciences in Colleges10.5555/2752981.275301330:5(136-143)Online publication date: 1-May-2015

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cover image ACM Conferences
ITiCSE '14: Proceedings of the 2014 conference on Innovation & technology in computer science education
June 2014
378 pages
ISBN:9781450328333
DOI:10.1145/2591708
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 21 June 2014

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Author Tags

  1. collaborative learning
  2. course materials
  3. lab-based course
  4. modules
  5. robots

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ITICSE '14
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ITiCSE '14 Paper Acceptance Rate 36 of 164 submissions, 22%;
Overall Acceptance Rate 552 of 1,613 submissions, 34%

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Cited By

View all
  • (2021)Evidence for Teaching Practices that Broaden Participation for Women in ComputingProceedings of the 2021 Working Group Reports on Innovation and Technology in Computer Science Education10.1145/3502870.3506568(57-131)Online publication date: 28-Dec-2021
  • (2016)Student-faculty collaboration in developing and testing infrastructure for a C-based course using robotsJournal of Computing Sciences in Colleges10.5555/3007225.300723932:1(57-64)Online publication date: 1-Oct-2016
  • (2015)A refined C-based infrastructure and curriculum to support robots in introductory CSJournal of Computing Sciences in Colleges10.5555/2752981.275301330:5(136-143)Online publication date: 1-May-2015

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