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http://hdl.handle.net/1942/37208
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DC Field | Value | Language |
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dc.contributor.author | Mens, Kim | - |
dc.contributor.author | Nijssen, Siegfried | - |
dc.contributor.author | PHAM, Hoàng Son | - |
dc.date.accessioned | 2022-04-15T10:58:01Z | - |
dc.date.available | 2022-04-15T10:58:01Z | - |
dc.date.issued | 2021 | - |
dc.date.submitted | 2022-04-07T12:19:06Z | - |
dc.identifier.citation | EASEAI '21: PROCEEDINGS OF THE 3RD INTERNATIONAL WORKSHOP ON EDUCATION, THROUGH ADVANCED SOFTWARE ENGINEERING AND ARTIFICIAL INTELLIGENCE, p. 1 -8 | - |
dc.identifier.isbn | 978-1-4503-8624-1 | - |
dc.identifier.uri | http://hdl.handle.net/1942/37208 | - |
dc.description.abstract | Research on source code mining has been explored to discover interesting structural regularities, API usage patterns, refactoring opportunities, bugs, crosscutting concerns, code clones and systematic changes. In this paper we present a pattern mining algorithm that uses frequent tree mining to mine for interesting good, bad or ugly coding idioms made by undergraduate students taking an introductory programming course. We do so by looking for patterns that distinguish positive examples, corresponding to the more correct answers to a question, from negative examples, corresponding to solutions that failed the question. We report promising initial results of this algorithm applied to the source code of over 500 students. Even though more work is needed to fine-tune and validate the algorithm further, we hope that it can lead to interesting insights that can eventually be integrated into an intelligent recommendation system to help students learn from their errors. | - |
dc.description.sponsorship | This work was partially conducted in the context of an industry-university research project between UCLouvain, Vrije Universiteit Brussel and Raincode Labs, funded by the Belgian Innoviris TeamUp project INTiMALS (2017-TEAM-UP-7). | - |
dc.language.iso | en | - |
dc.publisher | ASSOC COMPUTING MACHINERY | - |
dc.rights | © 2021 Copyright held by the owner/author(s). Publication rights licensed to ACM. ACM ISBN 978-1-4503-8624-1/21/08. . . $15.00 | - |
dc.subject.other | Pattern mining; source code mining; CS education; programming | - |
dc.title | The good, the bad, and the ugly: mining for patterns in student source code | - |
dc.type | Journal Contribution | - |
local.bibliographicCitation.conferencedate | AUG 23, 2021 | - |
local.bibliographicCitation.conferencename | 3rd International Workshop on Education through Advanced Software Engineering and Artificial Intelligence (EASEAI) | - |
local.bibliographicCitation.conferenceplace | ELECTR NETWORK | - |
dc.identifier.epage | 8 | - |
dc.identifier.spage | 1 | - |
local.format.pages | 8 | - |
local.bibliographicCitation.jcat | C1 | - |
dc.description.notes | Mens, K (corresponding author), UCLouvain, ICTEAM Inst, Louvain La Neuve, Belgium. | - |
dc.description.notes | kim.mens@uclouvain.be; siegfried.nijssen@uclouvain.be; | - |
dc.description.notes | hoangson.pham@uhasselt.be | - |
local.publisher.place | 1601 Broadway, 10th Floor, NEW YORK, NY, UNITED STATES | - |
local.type.refereed | Refereed | - |
local.type.specified | Proceedings Paper | - |
dc.identifier.doi | 10.1145/3472673.3473958 | - |
dc.identifier.isi | WOS:000773035600001 | - |
dc.contributor.orcid | PHAM, Hoang-Son/0000-0003-0349-3763 | - |
local.provider.type | wosris | - |
local.bibliographicCitation.btitle | EASEAI '21: PROCEEDINGS OF THE 3RD INTERNATIONAL WORKSHOP ON EDUCATION THROUGH ADVANCED SOFTWARE ENGINEERING AND ARTIFICIAL INTELLIGENCE | - |
local.description.affiliation | [Mens, Kim; Nijssen, Siegfried] UCLouvain, ICTEAM Inst, Louvain La Neuve, Belgium. | - |
local.description.affiliation | [Hoang-Son Pham] Hasselt Univ, Data Sci Inst, Hasselt, Belgium. | - |
local.uhasselt.international | no | - |
item.fullcitation | Mens, Kim; Nijssen, Siegfried & PHAM, Hoàng Son (2021) The good, the bad, and the ugly: mining for patterns in student source code. In: EASEAI '21: PROCEEDINGS OF THE 3RD INTERNATIONAL WORKSHOP ON EDUCATION, THROUGH ADVANCED SOFTWARE ENGINEERING AND ARTIFICIAL INTELLIGENCE, p. 1 -8. | - |
item.validation | ecoom 2023 | - |
item.contributor | Mens, Kim | - |
item.contributor | Nijssen, Siegfried | - |
item.contributor | PHAM, Hoàng Son | - |
item.fulltext | With Fulltext | - |
item.accessRights | Restricted Access | - |
Appears in Collections: | Research publications |
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3472673.3473958.pdf Restricted Access | Published version | 807.6 kB | Adobe PDF | View/Open Request a copy |
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