Engineering education research heavily relies on qualitative studies that utilize interview-based approaches. The quality and depth of knowledge derived from these studies depend heavily on the craft of conducting interviews, a facet often overlooked in prior work on qualitative methods. This special session aims to address this gap by guiding engineering education researchers in honing their interviewing skills for qualitative research. Participants will learn best practices for developing interview protocols, creating an accessible environment, and capturing high-quality data. Through case studies and hands-on activities, attendees will gain confidence in moderating conversations, improving data collection, and enhancing their overall skillset. This session provides an opportunity for researchers interested in qualitative research and scholarly educators to deepen their understanding of conducting meaningful interviews. By bridging the gap between the importance of qualitative studies and the need for skilled interviewers, we aim to contribute to the advancement of engineering education research.
more »
« less
Accessing Complex Constructs: Refining an Interview Protocol
A well-developed interview protocol is an essential data collection tool in qualitative research. An established process to refine interview protocols can help build quality and consistency into data collection. However, despite the importance placed on interview protocols by academic texts, there is little guidance regarding how to systematically develop and refine interview protocols, particularly when exploring complex constructs, such as beliefs and identity. In this special session, attendees will learn and practice an approach for refining interview protocols for investigating complex constructs in engineering education. We share this interview refinement approach as it enabled us to determine if our interview questions prompted participants to provide data essential to answering our research questions for a pilot study investigating students' beliefs and identities. This special session will also include conversations around best practices related to data collection to access complex constructs and how these practices can impact and shape future research. We welcome attendees of all experience levels (novice to expert) with regard to designing interview protocols. The session will be facilitated by Dr. Emily Dringenberg, Dr. Rachel Kajfez, and their graduate students. Dr. Dringenberg is a qualitative researcher well versed in beliefs. Dr. Kajfez is a mixed methods researcher well versed in identity. Both have multiple NSF grants exploring these complex constructs.
more »
« less
- Award ID(s):
- 1920421
- PAR ID:
- 10252157
- Date Published:
- Journal Name:
- 2020 IEEE Frontiers in Education Conference (FIE)
- Page Range / eLocation ID:
- 1 to 3
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
The purpose of this poster paper is to present progress toward reaching the third research aim of an NSF CAREER-funded study, using qualitative methods to explore the intersection of LGBTQ and STEM identities. The overall project purpose is to explore LGBTQ students’ engagement in STEM disciplines. LGBTQ students often leave engineering and other STEM fields at a higher rate than their peers due to unwelcoming environments, and engineering educators should tackle issues like heteronormativity and cissexism in the learning environment to promote diversity among future practicing engineers. The past year of the project has been focused on finishing data collection for the first research aim, investigating the influence of LGBTQ students' social networks on non-cognitive STEM outcomes, and securing data access agreements for the second research aim, comparing STEM degree completion rates between LGBTQ students and cisgender, heterosexual peers. For this poster, we focus on the process of developing a qualitative, narrative study exploring how LGBTQ STEM students experience discipline-based identities. Our poster presents the development of our interview protocol, grounded in engineering identity and possible selves, as well as our methods for collecting and analyzing qualitative data elicited through interviews. We use possible selves as an identity-based motivation framework in developing the interview protocol that focuses on students' anticipated career paths helping to understand how students are motivated to act in ways that are congruent to who they wish to become and wish to avoid becoming with respect to their decision to enter STEM. Development of the instrument began with a review of the literature to find key concepts that need to be covered in the interviews as well as example interview questions to be adapted for this study. In particular, the research team reviewed instruments used in prior research on possible selves to understand how existing procedures could be adapted to fit the purposes of this project. Following IRB approval, the interview protocol was refined through pilot testing with people who meet the study’s criteria for inclusion. Our next step is to recruit students for participation in this phase of the research. Many of these students will be identified through the survey from the first research aim of the project which gathered contact information for participants interested in participating in follow-up research. Others will be identified through recruitment nationally with organizations such as oSTEM. We expect to have preliminary data to discuss at the ASEE 2024 poster session, but data collection is expected to last through much of the coming year. Once these data are collected and analyzed, the overall project will move into a phase focused on completing the project’s educational aims and broad dissemination of findings across all three research aims.more » « less
-
null (Ed.)Despite decades of research, the underrepresentation of non-male, and non-white individuals in engineering continues to be a critical problem. A widespread and commonly accepted approach to recruit and retain diverse individuals is to provide multiple pathways into engineering degree programs, such as offering introductory courses at community colleges or regional campuses. Although these pathways are intended to promote diversity, they are similar in structure to the educational tracking practices common within the K-12 context that extant research has shown often work to perpetuate social inequalities. Students in less prestigious tracks have lower educational aspirations and less favorable self-beliefs. As such, the objective of this research is to understand undergraduate engineering students’ beliefs and identities with respect to smartness and engineering from different institutionalized educational pathways. In our executive summary and poster, we report on the pilot phase of the project consisting of nine semi-structured one-on-one interviews with first-year engineering students across three different institutionalized educational pathways as well as the development and refinement of the interview protocol. The pilot interview protocol was initially development to access the main constructs of interest for this research, beliefs about engineering and smartness as well as identity with respect to engineering and smartness. After the pilot interviews were completed, we utilized an interview protocol refinement approach and determined that the most insufficient portion of our initial protocol was the portion designed to have participants relate their engineering identity to their identity as smart (or not). As such, follow up questions were added to the protocol to provide clarity. The refined interview protocol will be used during the next phase of the study. The full study will include interviews with 30 participants across six different pathways to understand how participation in different institutionalized pathways relates to students’ experiences, beliefs, and identities. These participants will be interviewed up to three times to follow their development as they transition beyond introductory engineering courses regardless of if they continue with the engineering or not. Our work will provide valuable insights into the complex beliefs and identities about engineering and smartness of students participating in different institutionalized pathways into engineering. Ultimately, we believe our findings will inform the ways in which this common structural approach to broadening participation is enacted in engineering.more » « less
-
This Work in Progress (WIP) paper will present an interview protocol development that leverages social media analysis for capturing narratives of neurodivergent (e.g., ADHD, autistic, dyslexic) engineering students. The work presented in this WIP is part of a larger mixed-methods sequential research project which aims to capture neurodivergent engineering student narratives that describe their engineering experiences in terms of strengths and challenges. Through social media analysis, we identified key language used by the neurodivergent community (e.g., neurodivergent, spoon, forget). We developed a few initial themes such as multiple pathways to recognizing one’s identity of being neurodivergent, multiple ways in which neurodivergence symptoms are experienced, and the ways in which an individual internally and outwardly interacts with their own symptoms. To capture neurodivergent narratives, we plan on conducting semi-structured interviews with neurodivergent engineering students three times over the semester (beginning, middle, end). Initial interview protocols for each interview will be developed and adjusted throughout the interview data collection process. An initial compilation of relevant interview questions was compiled from previous research and from the objectives of the research study. This initial pool of questions will then be refined based on our thematic findings and using the nuanced language identified on the social media platforms TikTok, Reddit, and Twitter. Results of this work will be presented in this paper as an interview protocol that will continue to be adapted as part of this larger research study, but can also be used as a starting point for researchers exploring similar topics in capturing the experience of neurodivergent engineering students.more » « less
-
This Work in Progress (WIP) paper will present an interview protocol development that leverages social media analysis for capturing narratives of neurodivergent (e.g., ADHD, autistic, dyslexic) engineering students. The work presented in this WIP is part of a larger mixed-methods sequential research project which aims to capture neurodivergent engineering student narratives that describe their engineering experiences in terms of strengths and challenges. Through social media analysis, we identified key language used by the neurodivergent community (e.g., neurodivergent, spoon, forget). We developed a few initial themes such as multiple pathways to recognizing one’s identity of being neurodivergent, multiple ways in which neurodivergence symptoms are experienced, and the ways in which an individual internally and outwardly interacts with their own symptoms. To capture neurodivergent narratives, we plan on conducting semi-structured interviews with neurodivergent engineering students three times over the semester (beginning, middle, end). Initial interview protocols for each interview will be developed and adjusted throughout the interview data collection process. An initial compilation of relevant interview questions was compiled from previous research and from the objectives of the research study. This initial pool of questions will then be refined based on our thematic findings and using the nuanced language identified on the social media platforms TikTok, Reddit, and Twitter. Results of this work will be presented in this paper as an interview protocol that will continue to be adapted as part of this larger research study, but can also be used as a starting point for researchers exploring similar topics in capturing the experience of neurodivergent engineering students.more » « less
An official website of the United States government

