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Abstract Title: From Research to Resources: Assessing Students’ Understanding and Skills in Quantum Computing
Abstract Type: Contributed Poster Presentation
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. There is a great need for empirical investigations of the effectiveness of learning materials and pedagogical approaches in this new interdisciplinary field. These investigations can serve as the basis for curriculum development and learning and assessment resources. In this poster, we present an empirical investigation done at an R1 University using the multiple case study method. The research methodology involves conducting interviews with students, analyzing the interview transcripts to identify students' strengths and difficulties, especially on specific topics covered by a set of mini-tutorials, and comparing the two cases of students taught with and without the mini-tutorials.
Session Time: Poster Session 1
Poster Number: A29

Author/Organizer Information

Primary Contact: Beth Thacker
Texas Tech University
Co-Author(s)
and Co-Presenter(s)
Jianlan Wang, Texas Tech University
Yuanlin Zhang, Texas Tech University
Quy Ban Tran, Texas Tech University
Divya Sree Vemula, Texas Tech University
Tunde Kushimo, Wichita State University