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Team-Based Projects and Peer Assessment. IT Works!

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Interactive Collaborative Learning (ICL 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 544))

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Abstract

In order to make the assignments in our Web-design course more attractive for students, the educational strategies of peer assessment and team-based learning were employed. Students worked in teams on a whole-semester lasting assignment – a web application (project) based on their own designs. The project implementation was divided into three phases. After each phase all teams were supposed to submit their work for peer reviewing by other teams. Moreover, students peer-assessed also their team-mates contributions. Following this, each student’s score in every particular phase was counted based on her team project evaluation and also the peer assessment she received.

The focus of this paper is on students’ acceptance of these innovative peer assessment methods as well as on students’ opinions about their possible benefits and usefulness.

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Notes

  1. 1.

    “Adding manpower to a late software project makes it later.” https://en.wikipedia.org/wiki/Brooks%E2%80%99_law.

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Acknowledgment

This work was supported from the Slovak national VEGA project no. 1/0948/13.

Author information

Authors and Affiliations

  1. Comenius University in Bratislava, Bratislava, Slovakia

    Veronika Dropčová & Zuzana Kubincová

Authors
  1. Veronika Dropčová
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  2. Zuzana Kubincová
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Corresponding author

Correspondence to Veronika Dropčová .

Editor information

Editors and Affiliations

  1. Carinthia University of Applied Sciences, Villach, Austria

    Michael E. Auer

  2. International E-Learning Association and Kaleidoscope Learning, New York, New York, USA

    David Guralnick

  3. Ulster University, Belfast, Ireland

    James Uhomoibhi

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Dropčová, V., Kubincová, Z. (2017). Team-Based Projects and Peer Assessment. IT Works!. In: Auer, M., Guralnick, D., Uhomoibhi, J. (eds) Interactive Collaborative Learning. ICL 2016. Advances in Intelligent Systems and Computing, vol 544. Springer, Cham. https://doi.org/10.1007/978-3-319-50337-0_10

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  • DOI: https://doi.org/10.1007/978-3-319-50337-0_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50336-3

  • Online ISBN: 978-3-319-50337-0

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