735
Views
27
CrossRef citations to date
0
Altmetric
Articles

Meta-assessment in a project-based systems engineering course

, &
Pages 607-624 | Published online: 06 May 2016
 

Abstract

Project-based learning (PBL) facilitates significant learning, but it poses a major assessment challenge for assessing individual content knowledge. We developed and implemented an assessment approach and tool for a mandatory undergraduate systems engineering PBL-based course. We call this type of assessment student-oriented meta-assessment. Research participants included 131 undergraduate engineering students who carried out team projects requiring conceptual modelling of complex systems. Next, individual students assessed their peer team projects. Finally, the course staff assessed students individually, based on the content knowledge that was reflected in students’ comments to their peers, by using the new meta-assessment tool. The research findings validated the meta-assessment tool which can serve for assessing various PBL courses. Our contribution is twofold: a new approach for assessing project-based undergraduate engineering courses, and classification of meta-assessment methods into three types, where a student-oriented meta-assessment as one of the three meta-assessment methods is our newly introduced and validated method.

Acknowledgement

The authors thank the GordonCenter for Systems Engineering at the Technion for supporting this research.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 830.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.