PERC 2025 Abstract Detail Page
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| Abstract Title: | Capturing expert mental models of quantum sensing using concept maps |
|---|---|
| Abstract Type: | Contributed Poster Presentation |
| Abstract: | As the need to develop the quantum information science and engineering (QISE) workforce grows, we need to equip students with necessary quantum technology competencies and skills. Quantum sensing receives far less focus in existing curricula compared to quantum computing and communication. There are no standard textbooks, structured curriculum, or established conceptual frameworks for understanding quantum sensing. To address this gap, curriculum developers can draw on the knowledge of experts actively working in the field. This paper presents a methodology for eliciting expert knowledge through semi-structured interviews with a concept mapping activity. We detail the process from participant recruitment to the analysis of the resulting concept maps. Through this approach, we were able to identify detailed mental models of experts on specific quantum sensing protocols. The insights gained from this work will directly inform the development of quantum sensing curriculum and this methodology will be useful for educators and curriculum designers. |
| Session Time: | Poster Session B |
| Poster Number: | B-120 |
| Contributed Paper Record: | Contributed Paper Information |
| Contributed Paper Download: | Download Contributed Paper |
Author/Organizer Information | |
| Primary Contact: |
Namitha Pradeep Rochester Institute of Technology |
| Co-Author(s) and Co-Presenter(s) |
Benjamin M. Zwickl, Rochester Institute of Technology |
Contributed Poster | |
| Contributed Poster: | Download the Contributed Poster |
