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Implementing an Automated Assessment Tool Supporting Assessment and Feedback on Assessments for Novice Programmers in the Higher-Education Setting.

Published: 07 July 2022 Publication History

Abstract

Many Higher-Education (HE) providers in the UK have observed and reported the number of novice programming students is rising HESA1, with no proportional increase in teaching-staff numbers HESA2. Novice programming students need frequent practice eliciting immediate feedback NN1 and without this there is a potentially negative impact on their experience of and progression from HE. One solution to this problem is the automation of assessment and feedback on assessment. The poster and accompanying presentation gives consideration to this problem, Automated Assessment Tools (AATs) of the past, and moves to show question-types pertinent to novice programmers in the HE setting which have been iteratively incorporated into a new AAT. The flow of information to be facilitated between stakeholders (teaching-staff and students) in this new AAT is demonstrated from the different perspectives, in-order to promote discussion around the context and use of AATs and how AATs might form a part of the solution when seeking to improve teaching-staff and student experiences in HE, as student numbers continue to rise and remote/home-working becomes more a part of normal working patterns.

References

[1]
Higher Education Statistics Agency (HESA). 2021 a. What areas do they work in? https://www.hesa.ac.uk/data-and-analysis/staff/areas . Accessed: 25/10/2021.
[2]
Higher Education Statistics Agency (HESA). 2021 b. What do HE students study? https://www.hesa.ac.uk/data-and-analysis/students/what-study . Accessed: 25/10/2021.
[3]
Anne Venables and Liz Haywood. 2003. Programming Students NEED Instant Feedback!. In Proceedings of the Fifth Australasian Conference on Computing Education - Volume 20 (Adelaide, Australia) (ACE '03). Australian Computer Society, Inc., AUS, 267--272.

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cover image ACM Conferences
ITiCSE '22: Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 2
July 2022
686 pages
ISBN:9781450392006
DOI:10.1145/3502717
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 07 July 2022

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  1. assessment and feedback on assessments
  2. automated assessment tools
  3. computer science education
  4. cs1
  5. novice programmers practice and feedback

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ITiCSE 2022
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Overall Acceptance Rate 552 of 1,613 submissions, 34%

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ITiCSE '25
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