This article reports the research findings of an experimental design in which cooperative learning strategies were applied to closed-lab instruction of computing concepts. SimCPU, a software package specially designed for closed-lab usage, was used by 171 high-school students of four classes. In contrast to the students in the control group who operated SimCPU individually, students in the experimental group formed threesome teams to learn the CPU-related concepts by operating SimCPU cooperatively. The results showed that collaboration did enhance learning and that blending cooperative learning with closed-lab instruction in computer science was viable.
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References
1.
CanasJ. J.BajoM. T.GonzalvoP., Mental Models and Computer Programming, International Journal of Human-Computer Studies, 40, pp. 795–811, 1994.
2.
RossR. J., Experience with the DYNAMOD Program Animator, ACM SIGCSE Bulletin, 23:1, pp. 35–42, 1991.
3.
BoroniC. M.EneboeT. J.GooseyR. W.RossJ. A.RossR. J., Dancing with Dynalab, ACM SIGCSE Bulletin, 28:1, pp. 135–139, 1996.
4.
CartereauM., A Tool for Operating System Teaching, ACM SIGCSE Bulletin, 26:3, pp. 51–55, 1994.
5.
GuimaraesM. A. M.LucenaC. J. P.CavalcantiM. R., Experience Using the ASA Algorithm Teaching System, ACM SIGCSE Bulletin, 26:4, pp. 45–50, 1994.
6.
NapsT. L., Algorithm Visualization in Computer Science Laboratory, ACM SIGCSE Bulletin, 25:1, pp. 105–110, 1993.
7.
WuC.-C.LinJ. M.-C.HsuI. Y.-W., Closed Laboratories Using SimLIST and SimRECUR, Computers and Education, 28:1, pp. 55–64, 1997.
8.
SlavinR. E., Cooperative Learning, Allyn & Bacon, Needham Heights, Massachusetts, 1995.
9.
PreyJ. C., Cooperative Learning and Closed Laboratories in an Undergraduate Computer Science Curriculum, Proceedings of the SIGCSE/SIGCUE Conference on Integrating Technology into Computer Science Education, Barcelona, Spain, pp. 23–24, 1996.
10.
SabinR. E.SabinE. P., Collaborative Learning in an Introductory Computer Science Course, ACM SIGCSE Bulletin, 26:1, pp. 304–308, 1994.
11.
YerionK. A.RinehartJ. A., Guidelines for Collaborative Learning in Computer Science, ACM SIGCSE Bulletin, 27:4, pp. 29–34, 1995.
12.
RutherfordF. J.AhlgrenA., Science for All Americans, Oxford University Press, New York, 1990.
13.
WebbN. M., Microcomputer Learning in Small Groups: Cognitive Requirements and Group Processes, Journal of Educational Psychology, 76:6, pp. 1076–1088, 1984.
14.
KeelerC. M.AnsonR., An Assessment of Cooperative Learning Used for Basic Computer Skills Instruction in the College Classroom, Journal of Educational Computing Research, 10:4, pp. 379–393, 1995.
15.
SeymourS. R., Operative Computer Learning with Cooperative Task and Reward Structures, Journal of Technology Education, 5:2, pp. 19–30, 1994.
16.
WuC.-C.LinJ. M.-C.HoR.-G., A New Computer Guideline for Senior High Schools in Taiwan, Proceedings of the Fourteenth International Conference on Technology and Education, Oslo, Norway, pp. 25–27, 1997.
17.
LinJ. M.-C.WuC.-C.ChiouG.-F., Critical Concepts in the Development of Courseware for CS Closed Laboratories, Proceedings of the SIGCSE/SIGCUE Conference on Integrating Technology into Computer Science Education, Barcelona, Spain, pp. 14–19, 1996.
18.
SearlsD. E., An Integrated Hardware Simulator, ACM SIGCSE Bulletin, 25:2, pp. 24–28, 1993.
19.
SimeonovS.SchneiderG. M., MSIM: An Improved Microcode Simulator, ACM SIGCSE Bulletin, 27:2, pp. 13–17, 40, 1995.
BrookshearJ. G., An Overview of Computer Science (4th Edition), Benjamin/Cummings Publishing, Redwood City, Canada, 1993.
23.
BarnettB. L., A Visual Simulator for a Simple Machine and Assembly Language, ACM SIGCSE Bulletin, 27:1, pp. 233–237, 1995.
24.
LaucknerK. F.LintnerM. D., Computers: Inside & Out, Pippin Publishing, Ann Arbor, Michigan, 1994.
25.
ChangH.-P.LedermanN. G., The Effects of Levels of Cooperation with Physical Science Laboratory Groups on Physical Science Achievement, Journal of Research in Science Teaching, 31:2, pp. 167–181, 1994.
