Making sense of data structures exams

ICER'10 - Proceedings of the International Computing Education Research Workshop

Volumn , Issue , 2010, Pages 97-105

  Simon, Beth ^a   Clancy, Mike ^b   McCartney, Robert ^c   Morrison, Briana ^d   Richards, Brad ^e   Sanders, Kate ^f  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c University of Connecticut   (United States)

^d CS and Software Engineering So   (United States)

^e UNIVERSITY OF PUGET SOUND   (United States)

^f RHODE ISLAND COLLEGE   (United States)

Author keywords

CS2; Data structures; Exams

Indexed keywords

COMPUTING EDUCATION; COMPUTING SKILLS; CS2; DATA SETS; EXAMS; HASHTABLE;

DATA PROCESSING; DATA STRUCTURES; MULTIPROGRAMMING; RESEARCH;

STUDENTS;

EID: 77956288095     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1839594.1839612     Document Type: Conference Paper

References (21)

1. J. Biggs. What the student does: Teaching for enhanced learning. Higher Education Research & Development, 18(1):57-75, 1999.
2. B. S. Bloom and D. R. Krathwohl. Taxonomy of Educational Objectives, Handbook 1: Cognitive Domain. Addison Wesley Publishing Company, October 1956.
3. D. Boud. The role of self-assessment in student grading. Assessment & Evaluation in Higher Education, 14(1):20-30, 1989.
4. P. Denny, A. Luxton-Reilly, and B. Simon. Evaluating a new exam question: Parsons problems. In ICER-08 Proceedings, pages 113-124, New York, NY, USA, 2008. ACM.
5. D. J. Ernst, D. E. Stevenson, and P. J. Wagner. Hybrid and custom data structures: evolution of the data structures course. In ITiCSE-09 Proceedings, pages 213-217, New York, NY, USA, 2009. ACM.
6. G. Gibbs and C. Simpson. Conditions under which assessment supports students' learning. Learning and Teaching in Higher Education, 1(1):3-29, 2004.
7. C. G. Johnson and U. Fuller. Is bloom's taxonomy appropriate for computer science? In Baltic Sea '06: Proceedings of the 6th Baltic Sea conference on Computing education research, pages 120-123, New York, NY, USA, 2006. ACM.
8. Computing curricula 2001. J. Educ. Resour. Comput., 1(3):1-236.
9. E. B. Kofiman, D. Stemple, and C. E. Wardle. Recommended curriculum for CS2, 1984: a report of the ACM curriculum task force for CS2. Commun. ACM, 28(8):815-818, 1985.
10. Liberal Arts Computer Science Consortium. A 2007 model curriculum for a liberal arts degree in Computer Science. J. Educ. Resour. Comput., 7(2):2, 2007.
11. B. Liskov and S. Zilles. Programming with abstract data types. SIGPLAN Not., 9(4):50-59, 1974.
12. R. Lister, I. Box, B. Morrison, J. Tenenberg, and D. S. Westbrook. The dimensions of variation in the teaching of data structures. In ITiCSE-04 Proceedings, pages 92-96, New York, NY, USA, 2004. ACM.
13. R. MacDougall. The journal of philosophy, psychology, and scientific methods. 1(9):229-233, 1904.
14. M. McCracken, V. Almstrum, D. Diaz, M. Guzdial, D. Hagan, Y. B.-D. Kolikant, C. Laxer, L. Thomas, I. Utting, and T. Wilusz. A multi-national, multi-institutional study of assessment of programming skills of first-year cs students. In ITiCSE-01 Working Group Proceedings, pages 125-180, New York, NY, USA, 2001. ACM.
15. K. Sanders, B. Richards, J. E. Moström, V. Almstrum, S. Edwards, S. Fincher, K. Gunion, M. Hall, S. Lonergan, R. McCartney, B. Morrison, J. Spacco, and L. Thomas. DCER: sharing empirical computer science education data. In ICER-08 Proceedings, pages 137-148, 2008.
16. J. Sweller. Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2):257-285, 1988.
17. J. Sweller, J. van Merrienboer, and F. Paas. Cognitive architecture and instructional design. Educational Psychology Review, 10(3):251-296, September 1998.
18. J. Tenenberg. A framework approach to teaching data structures. In SIGCSE-03 Proceedings, pages 210-214, New York, NY, USA, 2003. ACM.
19. E. Thompson, A. Luxton-Reilly, J. L. Whalley, M. Hu, and P. Robbins. Bloom's taxonomy for CS assessment. In ACE-08 Proceedings, pages 155-161, Darlinghurst, Australia, Australia, 2008. Australian Computer Society, Inc.
20. J. L. Whalley, R. Lister, E. Thompson, T. Clear, P. Robbins, P. K. A. Kumar, and C. Prasad. An australasian study of reading and comprehension skills in novice programmers, using the Bloom and SOLO taxonomies. In ACE-06 Proceedings, pages 243-252, Darlinghurst, Australia, Australia, 2006. Australian Computer Society, Inc.
21. S. Yarosh and M. Guzdial. Narrating data structures: The role of context in CS2. J. Educ. Resour. Comput., 7(4):1-20, 2008.