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Challenges of Knowledge Component Modeling: A Software Engineering Case Study

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Challenges of Knowledge Component Modeling: A Software Engineering Case Study

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dc.contributor.author Luburić, Nikola es_ES
dc.contributor.author Šarenac, Balša es_ES
dc.contributor.author Dorić, Luka es_ES
dc.contributor.author Vidaković, Dragan es_ES
dc.contributor.author Grujić, Katarina-Glorija es_ES
dc.contributor.author Kovačević, Aleksandar es_ES
dc.contributor.author Prokić, Simona es_ES
dc.date.accessioned 2023-02-15T08:40:54Z
dc.date.available 2023-02-15T08:40:54Z
dc.date.issued 2022-05-31
dc.identifier.isbn 9788413960036
dc.identifier.issn 2603-5871
dc.identifier.uri http://hdl.handle.net/10251/191847
dc.description.abstract [EN] To improve instruction, educators require greater visibility into the learning gains of individual students and the ability to adapt to resolve any learning gaps. A prerequisite to achieving such instruction is decomposing knowledge into small components that function as gradual steps for the learner’s journey. However, decomposing a knowledge domain is not trivial, as instructors must overcome many practical challenges along the way. We report on our experience of knowledge component modeling for the clean code analysis and refactoring domain. We describe our method and list four challenges encountered during modeling and our solution for them. The resulting knowledge component inventory is a secondary contribution of the paper. These results can assist educators in planning and executing knowledge component modeling to refine their instruction and produce more significant learning gains in their students. es_ES
dc.format.extent 8 es_ES
dc.language Inglés es_ES
dc.publisher Editorial Universitat Politècnica de València es_ES
dc.relation.ispartof 8th International Conference on Higher Education Advances (HEAd'22)
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Knowledge component es_ES
dc.subject Intelligent tutoring systems es_ES
dc.subject KLI es_ES
dc.subject Cognitive task analysis es_ES
dc.subject Clean code es_ES
dc.subject Refactoring es_ES
dc.title Challenges of Knowledge Component Modeling: A Software Engineering Case Study es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.4995/HEAd22.2022.14217
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Luburić, N.; Šarenac, B.; Dorić, L.; Vidaković, D.; Grujić, K.; Kovačević, A.; Prokić, S. (2022). Challenges of Knowledge Component Modeling: A Software Engineering Case Study. En 8th International Conference on Higher Education Advances (HEAd'22). Editorial Universitat Politècnica de València. 901-908. https://doi.org/10.4995/HEAd22.2022.14217 es_ES
dc.description.accrualMethod OCS es_ES
dc.relation.conferencename Eighth International Conference on Higher Education Advances es_ES
dc.relation.conferencedate Junio 14-17, 2022 es_ES
dc.relation.conferenceplace Valencia, España es_ES
dc.relation.publisherversion http://ocs.editorial.upv.es/index.php/HEAD/HEAd22/paper/view/14217 es_ES
dc.description.upvformatpinicio 901 es_ES
dc.description.upvformatpfin 908 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela OCS\14217 es_ES


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