Utting, Ian (2013) The McCracken Study - 12 years on. In: Proceedings of the final reports on Innovation and technology in computer science education (ITiCSE) 2013 working groups. ITiCSE 2013, the 18th Annual Conference on Innovation and Technology in Computer Science Education. . (Unpublished) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:40199)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. |
Abstract
In 2001, an ITiCSE working group led by Mike McCracken met in Canterbury to analyze a study of novice programmers at institutions around the world. The working group produced the second most highly cited paper in SIGCSE's publication history, but had two more significant outcomes: It revealed that CS1 students were less proficient at programming than anyone, including their teachers, thought they were; and it set the scene for a number of other medium-to-large scale multi-national multi-institutional studies of beginning students. Despite this, and an explicit exhortation in the original paper, there has been very little effort since directed at replicating or extending the work of this original group.
Item Type: | Conference or workshop item (Proceeding) |
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Additional information: | <32> This paper replicates, extends and reviews a highly-influential 2001 study, with many of the same authors. It reports a multi-institution, multi-national investigation of the skills of over 400 beginning students of programming, and the expectations of their teachers. For this study a new assessment instrument was devised, to better align with students’ expected stage of development. 2013 results confirmed students’ variable performance; but showed teachers’ expectations were much more accurate than in 2001. The results and discussion will contribute to the design of University and School programming courses and to ongoing research efforts.; |
Subjects: | Q Science > QA Mathematics (inc Computing science) |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Stewart Brownrigg |
Date Deposited: | 07 Mar 2014 00:05 UTC |
Last Modified: | 05 Nov 2024 10:23 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/40199 (The current URI for this page, for reference purposes) |
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