Engineering and Technology

Exploring the connection between deep learning and learning assessments: a cross-disciplinary engineering education perspective

S. Fawzia and A. Karim

This study conducted by Sabrina Fawzia and Azharul Karim delves into how assessment systems can enhance deep learning in multidisciplinary engineering education. By testing a conceptual model with QUT engineering students, the research reveals significant insights into how both summative and formative assessments can boost the learning experience.

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Index

Abstract

This study explores the relationship between assessment systems and deep learning in multidisciplinary engineering education. A conceptual model was proposed and tested using a questionnaire administered to 243 QUT engineering students. Data analysis using SPSS and SEM revealed that deep learning is strongly associated with learning environment and course design. Both summative and formative assessments significantly influenced learning, suggesting that employing both assessment types simultaneously enhances the learning process.

Publisher

Humanities and Social Sciences Communications

Published On

Jan 02, 2024

Authors

Sabrina Fawzia, Azharul Karim

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