Constructive and collaborative learning of algorithms

SIGCSE Bulletin (Association for Computing Machinery, Special Interest Group on Computer Science Education)

Volumn , Issue , 2003, Pages 6-10

  Hübscher Younger, Teresa ^a   Narayanan, N Hari ^a  

^a AUBURN UNIVERSITY   (United States)

Author keywords

Algorithm; Courseware; CS 1 and 2; CS Ed Research; Curricular issues; Pedagogy; Web based techniques

Indexed keywords

ANIMATION; COMPUTER SCIENCE; COMPUTER SUPPORTED COOPERATIVE WORK; CURRICULA; ENGINEERING EDUCATION; STUDENTS; TEACHING; WORLD WIDE WEB;

COURSEWARE; PEDAGOGY; STUDENT LEARNING; WEB-BASED TECHNIQUES;

ALGORITHMS;

EID: 0038011547     PISSN: 00978418     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/792548.611919     Document Type: Conference Paper

References (13)

1. Chi, M. T.H., de Leeuw, N., Chiu, M.-H., & LaVancher, C. (1994). Eliciting self-explanations improves understanding. Cognitive Science, 18 (3), 439-477.
2. Dewey, J. (1920). The Child and the curriculum. Chicago: University of Chicago Press.
3. Hansen, S. R. (1999). A framework for animation-embedded hypermedia visualization of algorithms. Ph.D. Dissertation, Computer Science & Software Engineering Dept., Auburn University, Auburn, AL.
4. Hansen, S. R., Narayanan N. H. & Hegarty, M. (in press) Designing educationally effective algorithm visualizations. Jnl. of Visual Languages and Computing.
5. Hübscher-Younger, T. (2002). A framework for animation-embedded hypermedia visualization of algorithms. Ph.D. Dissertation, Computer Science & Software Engineering Dept., Auburn University, Auburn, AL.
6. Hübscher-Younger, T. & Narayanan N. H. (2002). Influence of authority on convergence in collaborative learning. Proc. Computer Support for Collaborative Learning Conf. (CSCL 2002), Lawrence Erlbaum, 481-489.
7. Hübscher-Younger, T. and Narayanan, N. H. (2001a). How undergraduate students' learning strategy and culture effects algorithm animation use and interpretation. Proc. Int'l Conf. on Advanced Learning Technologies (ICALT 2001), IEEE Press, 113-116.
8. Hübscher-Younger, T., and Narayanan, N. H. (2001b). Features of shared student-created representations. Proc. Workshop on External Representations in Al-ED: Multiple Forms and Multiple Roles, 10th Int'l Conf. on Artificial Intelligence in Education (AI-ED 2001).
9. Hundhausen, C. D., Douglas, S. A. & Stasko, J. T. (2002) A meta-study of algorithm visualization effectiveness. Jnl. of Visual Languages and Computing 13(3), 259-290.
10. Hundhausen, C.D. & Douglas, S.A. (2002). Low fidelity algorithm visualization. Jnl. of Visual Languages and Computing 13(5), 449-470.
11. Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. New York: Cambridge University Press.
12. Röbling, G. & Freisleben, B. (2000). Experiences in using animations in introductory compute science lectures. Proc. 31st SIGCSE Tech. Symp. on Computer Science Education, ACM Press, 134-138.
13. Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Cambridge, MA: Harvard University Press. (Originally published in Russian in 1934).