From Research to Resources: Assessing Student Understanding and Skills in Quantum Computing
Beth Thacker, Jianlan Wang, Yuanlin Zhang, Quy Ban Tran, Divya Sree Vemula, and Tunde Kushimo

TL;DR
This study empirically evaluates the effectiveness of research-based mini-tutorials in teaching quantum computing to students, highlighting their impact on understanding key concepts and identifying persistent difficulties.
Contribution
It provides the first empirical comparison of student learning outcomes with and without research-based mini-tutorials in an introductory quantum computing course.
Findings
Mini-tutorials improve understanding of Dirac notation and application of gates.
Students struggle with matrix representations and rotation gates.
Both groups show strengths in applying quantum concepts but face difficulties in quantitative analysis.
Abstract
The revolutionary new field of Quantum Computing (QC) continues to gain attention in industry, academia, and government in both research and education. At educational institutions, there is a proliferation of introductory courses at various academic levels signaling a growing interest and recognition of the significance of this field. A crucial and often overlooked aspect is the development of research-based materials and pedagogical approaches to effectively teach the complexities of quantum computing to diverse cohorts of learners across multiple disciplines. There is a great need for empirical investigations of the effectiveness of learning materials and pedagogical approaches in this new interdisciplinary field. We present an empirical investigation done at an R1 institution using the multiple case study method. We compare a case study on students in an introductory QC course…
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Taxonomy
TopicsExperimental Learning in Engineering
