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The Impact of Team Project on Students’ Learning: An Analysis of a Global IT Management Course

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Knowledge Management, Information Systems, E-Learning, and Sustainability Research (WSKS 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 111))

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Abstract

The research paper is analyzing the contribution of the team project (project based learning) as a group assignment in Global IT Management course offered at the master level in international programs at Royal Institute of Technology (KTH) Stockholm and Stockholm University towards the enhancement of students’ learning. The research methodology is a qualitative one and has been conducted through formal structured interviews with a group of students who have been acting as group leaders in Global IT Management course. Based upon the results coming from interviewing 7 out of 15 group leaders plus two additional interviews with students that were not group leaders we have found that the team project is enhancing their knowledge, is an assessment method better than a classic written exam and the students’ perception about the impact of the team project upon their learning is positive. Moreover the analysis of the data collected from these interviews has also provided usefully information about if the team project objectives are relevant in contributing to the enhancement of students learning, and what it can be done further for increasing students’ motivation in their team project work.

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Rusu, L. (2010). The Impact of Team Project on Students’ Learning: An Analysis of a Global IT Management Course. In: Lytras, M.D., Ordonez De Pablos, P., Ziderman, A., Roulstone, A., Maurer, H., Imber, J.B. (eds) Knowledge Management, Information Systems, E-Learning, and Sustainability Research. WSKS 2010. Communications in Computer and Information Science, vol 111. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16318-0_5

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  • DOI: https://doi.org/10.1007/978-3-642-16318-0_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16317-3

  • Online ISBN: 978-3-642-16318-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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