2024 ASEE Annual Conference & Exposition

Examining the Engineering Self-Efficacy, Design Self-Efficacy, Intentions to Persist, and Sense of Belonging of First-Year Engineering Students through Community-Partnered Projects

Presented at First-Year Programs Division Technical Session 5: Identity & Belonging

One of the strongest motivations for studies focusing on first-year engineering programs is a desire to reverse the trend of students leaving engineering after the first year. While the student retention literature has extensively described various models of reducing student attrition, many of the institutional factors described in the literature may come a second too late for students struggling with engineering identity formation, lack of motivation, and considering leaving engineering in their first year. Community-partnered projects are very popular avenues for stimulating students' interests in engineering as they get to work on real-world problems, engage in problem-solving, and confer with local community partners. Sadly, many students fail to experience the excitement of working on CPPs until their final year capstone projects.

The context for this research paper involves community-partnered projects hosted at a large public university in the US. In a parallel paper, we are interested in factors that influence first-year engineering students' perceptions. In this paper, our aim is to do a deeper dive into students' perceptions of learning while engaging in CPPs in a first-year engineering course. Specifically, we set out to answer the following research question - ‘How does implementation of community-partnered projects in first-year engineering influence students’ motivations, learning, sense of belonging, and engagement?’

A qualitative research design approach will be used in this study to investigate the influence of CPPs on first-year engineering students. Eight to ten semi-structured interviews will be conducted online using Zoom. The interviews will be audio-recorded and later transcribed for analysis. The transcripts will be (re)read to fix errors (if any) that might have occurred in the transcribing process. The data will be collected by the end of November 2023 and the analysis will follow. The qualitative data will be coded using NVivo. An open coding method will be used to code the data and grounded theory approach will be used to find the emergent themes. A codebook will be created as the coding progresses. More details on the participant demographics, interview questions, themes emerging from the qualitative data will be presented in the full paper. The findings of this study will be relevant and timely as engineering education is growing and witnessing increasing students with diverse needs. Learning through community-partnered projects at first year of engineering is a potential step moving forward in that direction.

Authors
  1. Tierney Harvey University of Oklahoma [biography]
  2. Haley Taffe University of Oklahoma [biography]
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