Meta-assessment in a project-based systems engineering course

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 a...

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Bibliographic Details
Published in:Assessment and evaluation in higher education 2017-05, Vol.42 (4), p.607-624
Main Authors: Wengrowicz, Niva, Dori, Yehudit Judy, Dori, Dov
Format: Article
Language:English
Subjects:
Active Learning
assessment
College students
Educational evaluation
Engineering
Engineering Education
Evaluation Methods
Learning
meta-assessment
Peer assessment
Peer Evaluation
Peer Relationship
Project-based learning
Scoring Rubrics
Statistical Analysis
Student Evaluation
Student Projects
Students
systems engineering course
Teaching Methods
Teamwork
Undergraduate Students
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Summary: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.
ISSN:0260-2938
1469-297X
DOI:10.1080/02602938.2016.1173648