How helpful do novice programmers find the feedback of an automated repair tool?

Immediate feedback has been shown to improve student learning. In programming courses, immediate, automated feedback is typically provided in the form of pre-defined test cases run by a submission platform. While these are excellent for highlighting the presence of logical errors, they do not provid...

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Main Authors: KURNIAWAN, Oka, POSKITT, Christopher M., HOQUE, Ismam Al, LEE, Norman Tiong Seng, JÉGOUREL, Cyrille, SOCKALINGAM, Nachamma
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Language:English
Published: Institutional Knowledge at Singapore Management University 2023
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Online Access:https://ink.library.smu.edu.sg/sis_research/8638
https://ink.library.smu.edu.sg/context/sis_research/article/9641/viewcontent/clara_s_experience_tale23.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-96412024-02-08T07:47:17Z How helpful do novice programmers find the feedback of an automated repair tool? KURNIAWAN, Oka POSKITT, Christopher M. HOQUE, Ismam Al LEE, Norman Tiong Seng JÉGOUREL, Cyrille SOCKALINGAM, Nachamma Immediate feedback has been shown to improve student learning. In programming courses, immediate, automated feedback is typically provided in the form of pre-defined test cases run by a submission platform. While these are excellent for highlighting the presence of logical errors, they do not provide novice programmers enough scaffolding to help them identify where an error is or how to fix it. To address this, several tools have been developed that provide richer feedback in the form of program repairs. Studies of such tools, however, tend to focus more on whether correct repairs can be generated, rather than how novices are using them. In this paper, we describe our experience of using CLARA, an automated repair tool, to provide feedback to novices. First, we extended CLARA to support a larger subset of the Python language, before integrating it with the Jupyter Notebooks used for our programming exercises. Second, we devised a preliminary study in which students tackled programming problems with and without support of the tool using the ‘think aloud’ protocol. We found that novices often struggled to understand the proposed repairs, echoing the well-known challenge to understand compiler/interpreter messages. Furthermore, we found that students valued being told where a fix was needed—without necessarily the fix itself—suggesting that ‘less may be more’ from a pedagogical perspective. 2023-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/8638 info:doi/10.1109/TALE56641.2023.10398393 https://ink.library.smu.edu.sg/context/sis_research/article/9641/viewcontent/clara_s_experience_tale23.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University automated feedback system program repair learning programming higher education novice learners Educational Assessment, Evaluation, and Research Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic automated feedback system
program repair
learning programming
higher education
novice learners
Educational Assessment, Evaluation, and Research
Software Engineering
spellingShingle automated feedback system
program repair
learning programming
higher education
novice learners
Educational Assessment, Evaluation, and Research
Software Engineering
KURNIAWAN, Oka
POSKITT, Christopher M.
HOQUE, Ismam Al
LEE, Norman Tiong Seng
JÉGOUREL, Cyrille
SOCKALINGAM, Nachamma
How helpful do novice programmers find the feedback of an automated repair tool?
description Immediate feedback has been shown to improve student learning. In programming courses, immediate, automated feedback is typically provided in the form of pre-defined test cases run by a submission platform. While these are excellent for highlighting the presence of logical errors, they do not provide novice programmers enough scaffolding to help them identify where an error is or how to fix it. To address this, several tools have been developed that provide richer feedback in the form of program repairs. Studies of such tools, however, tend to focus more on whether correct repairs can be generated, rather than how novices are using them. In this paper, we describe our experience of using CLARA, an automated repair tool, to provide feedback to novices. First, we extended CLARA to support a larger subset of the Python language, before integrating it with the Jupyter Notebooks used for our programming exercises. Second, we devised a preliminary study in which students tackled programming problems with and without support of the tool using the ‘think aloud’ protocol. We found that novices often struggled to understand the proposed repairs, echoing the well-known challenge to understand compiler/interpreter messages. Furthermore, we found that students valued being told where a fix was needed—without necessarily the fix itself—suggesting that ‘less may be more’ from a pedagogical perspective.
format text
author KURNIAWAN, Oka
POSKITT, Christopher M.
HOQUE, Ismam Al
LEE, Norman Tiong Seng
JÉGOUREL, Cyrille
SOCKALINGAM, Nachamma
author_facet KURNIAWAN, Oka
POSKITT, Christopher M.
HOQUE, Ismam Al
LEE, Norman Tiong Seng
JÉGOUREL, Cyrille
SOCKALINGAM, Nachamma
author_sort KURNIAWAN, Oka
title How helpful do novice programmers find the feedback of an automated repair tool?
title_short How helpful do novice programmers find the feedback of an automated repair tool?
title_full How helpful do novice programmers find the feedback of an automated repair tool?
title_fullStr How helpful do novice programmers find the feedback of an automated repair tool?
title_full_unstemmed How helpful do novice programmers find the feedback of an automated repair tool?
title_sort how helpful do novice programmers find the feedback of an automated repair tool?
publisher Institutional Knowledge at Singapore Management University
publishDate 2023
url https://ink.library.smu.edu.sg/sis_research/8638
https://ink.library.smu.edu.sg/context/sis_research/article/9641/viewcontent/clara_s_experience_tale23.pdf
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