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Characteristics of programming exercises that lead to poor learning tendencies: Part II
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Source Annual Joint Conference Integrating Technology into Computer Science Education archive
Proceedings of the 6th annual conference on Innovation and technology in computer science education table of contents
Canterbury, United Kingdom
Pages: 93 - 96  
Year of Publication: 2001
ISBN:1-58113-330-8
Also published in ...
Authors
Angela Carbone  Faculty of Information Technology, Monash University, Australia
John Hurst  Faculty of Information Technology, Monash University, Australia
Ian Mitchell  Faculty of Education, Monash University, Australia
Dick Gunstone  Faculty of Education, Monash University, Australia
Sponsors
SIGCSE: ACM Special Interest Group on Computer Science Education
SIGCUE: ACM Special Interest Group on Computer Uses In Education
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 5,   Downloads (12 Months): 25,   Citation Count: 4
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ABSTRACT

In most introductory programming courses tasks are given to students to complete as a crucial part of their study. The tasks are considered important because they require students to apply their knowledge to new situations. However, often the tasks have not been considered as a vehicle that can direct learning behaviours in students. In this paper attention is paid to features of programming tasks that led to the following three poor learning behaviours: non-retrieval, lack of internal reflective thinking and lack of external reflective thinking. The data gathered for this study is provided by students and tutors, and describes the students' engagement in the tasks. The paper concludes with a list of generic improvements that should be considered when formulating programming exercises to minimise poor learning behaviours in students.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Baird, R.J. and Northfield R.J., Learning from the Peel Experience. 1995, Melbourne, Australia: The Monash University Printing Services.
 
2
Bloom, B.S., Taxonomy of educational objectives: The classification of educational goals. 1st ed. 1956, New York: D. McKay Co.
 
3
Carbone, A., Drago, M., and Mitchell, I. Web Based Tools to Maintain Teaching Strategies and Resources. in What works and Why? in The Fourteenth Annual Conference of the Australian Society for Computers in Learning in Tertiary Education, (ASCILITE'97). 1997. Curtin University, Perth, Australia: Academic Computing Services.
4
 
5
Carbone, A., Mitchell I.J, and Macdonald, I.D.H.. Improving teaching and learning in first year Computer Science tutorials in Making New Connections in Proceedings of the Thirteenth Annual Conference of the Australian Society for Computers in Learning in Tertiary Education. 1996. University of South Australia, Adelaide, Australia: Faculty Health and Biomedical Science
 
6
Funderstanding, About learning/Theories 1998 http://www, funderstanding.com/theories 1 .html
 
7
Mitchell, I. and Macdonald, I.D.H., Learning and Teaching in First Year programming FCIT/Education Faculty Research Project Report, 1995, Monash University: Melbourne, Australia. p. 27
 
8
Mitchell, I., et al. Helpless, Isolated and Underpaid: Turning Computer Science Demonstrators into Teachers in Proceedings of Australasian Science Education Research Association. 1996. Canberra, Australia.


Collaborative Colleagues:
Angela Carbone: colleagues
John Hurst: colleagues
Ian Mitchell: colleagues
Dick Gunstone: colleagues