2025 ASEE Annual Conference & Exposition

A Reflective Essay: Lessons from Two Engineering Education Qualitative Research Dissertations

Contemporary engineering problems are becoming more complex, requiring technical engineering knowledge and incorporating human and social science factors. There is a corresponding increasing level of attention to engineering education research. Students in engineering education Ph.D. programs with technical engineering backgrounds need a transition from quantitative research training to qualitative research practice. Some practical reflections on engineering education qualitative research dissertations can be helpful for new engineering education researchers who may not have mentors in their department as they transition from engineering students to engineering education researchers.

This study uses two qualitative engineering education dissertations as case studies to summarize valuable practical approaches with new engineering education researchers as the intended audience. It is based on the reflections of two engineering education candidates who offer concrete examples of working with interview data through two qualitative analysis methods. The co-authors used qualitative interview data for their dissertations. Case Study A uses a narrative analysis method, while Case Study B uses a multi-case study. The narrative analysis helps dive into an individual’s personal experiences while multi-case analysis is suitable for analyzing students’ longitudinal learning. These two analysis methods represent contrasting approaches to understanding student and faculty perceptions in the engineering education area.

This paper does not provide a standard technical lens or rules for analyzing the qualitative interview data. Instead, it aims to excavate detailed reflections that engineering education researchers can refer to as they do qualitative research in engineering education. The authors’ reflections draw on their personal experience of doing qualitative data analysis and strategies to overcome challenges with qualitative data analysis for internal consistency and validity. The findings will not be a specific set of steps for analyzing interview data in engineering education but rather detailed reflections on the experience of analyzing qualitative data based on practical and theoretical challenges. The conclusions may offer mentorship for engineering education students who want to do systematic qualitative research with an engineering education background.

Authors
  1. Miss Yi Cao Virginia Tech [biography]
  2. Dr. Andrea L. Schuman California Polytechnic State University, San Luis Obispo [biography]
Note

The full paper will be available to logged in and registered conference attendees once the conference starts on June 22, 2025, and to all visitors after the conference ends on June 25, 2025