Using Machine Learning to Understand Assessment Practices of Capstone Projects in Engineering-Reference-Cited by-同舟云学术

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Using Machine Learning to Understand Assessment Practices of Capstone Projects in Engineering

Published:2023-10-23 Issue: Volume: Page:
ISSN:
Container-title:2023 World Engineering Education Forum - Global Engineering Deans Council (WEEF-GEDC)
language:
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Author:

Kamper Herman¹,Niehaus Carla²,Wolff Karin³

Affiliation:

1. Stellenbosch University,Dept. E&E Engineering,South Africa

2. Stellenbosch University,Dept. Mathematical Sciences,South Africa

3. Stellenbosch University,Fact. Engineering,South Africa

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10343387/10343561/10344177.pdf?arnumber=10344177

Reference19 articles.

1. Factors Considered in the Assessment of Computer Science Engineering Capstone Projects and Their Influence on Discrepancies Between Assessors

2. The Assessment of Complex Performance: A Socially Situated Interpretive Act

3. The assessment of complex tasks: a double reading

4. Knowledge and Knowers in Engineering Assessment

5. Beyond social constructivist perspectives on assessment: the centring of knowledge

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