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Empirical Studies of an Educational Tool for Project Management based on PMBOK using Problem-Based Learning

Published: 05 October 2022 Publication History

Abstract

The adopted Project Management (PM) process and management tool can determine the success or failure of a project. Academia and industry have developed many tools, techniques, and methods to assist the PM process. The Project Management Body of Knowledge (PMBOK®) aggregates a set of PM practices widely used in industry and academia. Based on the literature on the area, some gaps remain, such as the lack of tools helping the PM learning process, i.e., an issue related to the adequacy of a web-based tool in educational contexts. This study aims to introduce an educational approach based on problem-based learning and a novel educational tool covering all the knowledge areas of PMBOK®, namely Silver Bullet, that contributes to the PM process in educational contexts and supports our approach. To evaluate Silver Bullet, we conducted two empirical studies involving undergraduate students as subjects using problem-based learning in a software project manager: a quasi-experiment and a case study. We conclude that the Silver Bullet helps project managers in classroom environments by reducing the effort inherent in a PM execution process. Besides, some improvements in scoping the teaching-learning process are observed, such as activity verification, lessons learned board and log registers. Thus, we present relevant findings directing ongoing improvement.

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cover image ACM Other conferences
SBES '22: Proceedings of the XXXVI Brazilian Symposium on Software Engineering
October 2022
457 pages
ISBN:9781450397353
DOI:10.1145/3555228
© 2022 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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Association for Computing Machinery

New York, NY, United States

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Published: 05 October 2022

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Author Tags

  1. empirical studies
  2. problem-based learning
  3. project management
  4. project management software tool

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SBES 2022
SBES 2022: XXXVI Brazilian Symposium on Software Engineering
October 5 - 7, 2022
Virtual Event, Brazil

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Overall Acceptance Rate 147 of 427 submissions, 34%

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