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Data Mining to Identify Project Management Strategies in Learning Environments

Data Mining to Identify Project Management Strategies in Learning Environments

Ana González-Marcos, Joaquín Ordieres-Meré, Fernando Alba-Elías
Copyright: © 2019 |Pages: 14
ISBN13: 9781522575986|ISBN10: 1522575987|EISBN13: 9781522575993
DOI: 10.4018/978-1-5225-7598-6.ch039
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MLA

González-Marcos, Ana, et al. "Data Mining to Identify Project Management Strategies in Learning Environments." Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics, edited by Mehdi Khosrow-Pour, D.B.A., IGI Global, 2019, pp. 532-545. https://doi.org/10.4018/978-1-5225-7598-6.ch039

APA

González-Marcos, A., Ordieres-Meré, J., & Alba-Elías, F. (2019). Data Mining to Identify Project Management Strategies in Learning Environments. In M. Khosrow-Pour, D.B.A. (Ed.), Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics (pp. 532-545). IGI Global. https://doi.org/10.4018/978-1-5225-7598-6.ch039

Chicago

González-Marcos, Ana, Joaquín Ordieres-Meré, and Fernando Alba-Elías. "Data Mining to Identify Project Management Strategies in Learning Environments." In Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics, edited by Mehdi Khosrow-Pour, D.B.A., 532-545. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-7598-6.ch039

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Abstract

Projects have become a key strategic working form. It is agreed that project performance must achieve its objective and be aligned with criteria that the project stakeholders establish. The usual metrics that are considered are cost, schedule, and quality. Configuration for the management of projects is a matter of decision that influences the project's evolution. There also are factors like virtual teamwork and team building processes that are relevant to that evolution. Effectiveness in managing projects depends on these factors and is investigated in this work by means of educational data mining as they can help to build more effective learning and operating procedures. The conclusions from this study can help higher education course designers as well as teachers and students by making apparent the influence of smarter strategies in the learning process. In fact, the same benefits will help practitioners too, as they can improve their continuous learning procedures and adjust their project management policies and strategies.

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