Identifying student profiles in CSCL systems for programming learning using quality in use analysis
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| Titel: | Identifying student profiles in CSCL systems for programming learning using quality in use analysis |
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| Autoren: | Duque Medina, Rafael, Redondo Duque, Miguel Ángel, Ortega Cantero, Manuel, Salomón García, Sergio, Molina, Ana Isabel |
| Weitere Verfasser: | Universidad de Cantabria |
| Quelle: | WEBIST 2023. Proceedings of the 19th International Conference on Web Information Systems and Technologies, INSTICC, 2023 |
| Publikationsjahr: | 2023 |
| Bestand: | Universidad de Cantabria: UCrea |
| Schlagwörter: | User Profiles, Computer-Supported Collaborative Learning, Programming Learning, Quality in Use |
| Beschreibung: | In the digital age, computer programming skills are in high demand, and collaborative learning is essential for its development. Computer-Supported Collaborative Learning (CSCL) systems enable real-time collaboration among students, regardless of their location, by offering resources and tools for programming tasks. To optimize the learning experience in CSCL systems, user profiling can be used to tailor educational content, adapt learning activities, provide personalized feedback, and facilitate targeted interventions based on individual learners' needs, preferences, and performance patterns. This paper describes a framework that can be applied to profile students of CSCL systems. By analysing log files, computational models, and quality measures, the framework captures various dimensions of the learning process and generates user profiles based on the Myers-Briggs Type Indicator (MBTI) personality. The work also conducts a case study that applies this framework to COLLECE 2.0, a CSCL system that supports programming learning. ; This work is partially supported by the European Union through the project No. 2021-1-DE01-KA220-HED-000032031 of the Erasmus+ programme, and the CODIFICA project, ref. PID2021-125122OB100, funded by MCIN/AEI/10.13039/501100011033 and the European Regional Development Fund (ERDF) "A way to make Europe". The University of Cantabria is also partially supporting this work through the project titled "Utilización de las TIC para monitorizar y gestionar actividades colaborativas orientadas a resolver tareas de programación de algoritmos en el Grado en Ingeniería Informática". |
| Publikationsart: | conference object |
| Sprache: | English |
| Relation: | https://hdl.handle.net/10902/31734 |
| DOI: | 10.5220/0012181800003584 |
| Verfügbarkeit: | https://hdl.handle.net/10902/31734 https://doi.org/10.5220/0012181800003584 |
| Rights: | Copyright © 2023 by SCITEPRESS – Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0 ; http://creativecommons.org/licenses/by-nc-nd/4.0/ ; openAccess |
| Dokumentencode: | edsbas.C02F488B |
| Datenbank: | BASE |
Nájsť tento článok vo Web of Science | Abstract: | In the digital age, computer programming skills are in high demand, and collaborative learning is essential for its development. Computer-Supported Collaborative Learning (CSCL) systems enable real-time collaboration among students, regardless of their location, by offering resources and tools for programming tasks. To optimize the learning experience in CSCL systems, user profiling can be used to tailor educational content, adapt learning activities, provide personalized feedback, and facilitate targeted interventions based on individual learners' needs, preferences, and performance patterns. This paper describes a framework that can be applied to profile students of CSCL systems. By analysing log files, computational models, and quality measures, the framework captures various dimensions of the learning process and generates user profiles based on the Myers-Briggs Type Indicator (MBTI) personality. The work also conducts a case study that applies this framework to COLLECE 2.0, a CSCL system that supports programming learning. ; This work is partially supported by the European Union through the project No. 2021-1-DE01-KA220-HED-000032031 of the Erasmus+ programme, and the CODIFICA project, ref. PID2021-125122OB100, funded by MCIN/AEI/10.13039/501100011033 and the European Regional Development Fund (ERDF) "A way to make Europe". The University of Cantabria is also partially supporting this work through the project titled "Utilización de las TIC para monitorizar y gestionar actividades colaborativas orientadas a resolver tareas de programación de algoritmos en el Grado en Ingeniería Informática". |
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| DOI: | 10.5220/0012181800003584 |