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Graduation Project Monitoring Platform Based on a Personalized Supervision Plan

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Advances in Web-Based Learning – ICWL 2023 (ICWL 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14409))

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Abstract

Thesis supervision is a complex and important process that can directly affect the outcome of the graduation project. Poor communication between the student and the supervisor, lack of progress tracking tools and a mismatch between the preferred supervisory styles make it more likely that the project will not be finished on time or will be abandoned. Therefore, having a dedicated tool that handles all these issues could significantly contribute to the success of the graduation project. In this context, we introduce an innovative platform called Thesico, which aims to provide comprehensive support for the thesis supervision process. More specifically, the system proposes an individualized supervision plan, based on the preferences of the student and teacher with respect to support and structure. The system also facilitates the management of the project tasks (by means of Kanban boards), the intermediary assignments and the student-teacher meetings. In addition, the quality and progress of the supervision process can be assessed by means of a dedicated collaboration score computed by the platform.

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Notes

  1. 1.

    https://github.com.

  2. 2.

    https://www.atlassian.com/software/jira.

  3. 3.

    https://en.wikipedia.org/wiki/kanban_board.

  4. 4.

    https://vuejs.org.

  5. 5.

    https://api-platform.com.

  6. 6.

    https://github.com/pmjones/adr.

  7. 7.

    https://support.atlassian.com/jira-cloud-administration/docs/what-are-issue-types.

  8. 8.

    https://docs.github.com/en/rest.

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Correspondence to Elvira Popescu .

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Anghel, FC., Popescu, E. (2023). Graduation Project Monitoring Platform Based on a Personalized Supervision Plan. In: Xie, H., Lai, CL., Chen, W., Xu, G., Popescu, E. (eds) Advances in Web-Based Learning – ICWL 2023. ICWL 2023. Lecture Notes in Computer Science, vol 14409. Springer, Singapore. https://doi.org/10.1007/978-981-99-8385-8_5

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  • DOI: https://doi.org/10.1007/978-981-99-8385-8_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-8384-1

  • Online ISBN: 978-981-99-8385-8

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