Search for: All records

In recent years, there have been many efforts to increase student sense of belonging in engineering as it has been shown to positively impacting student retention, persistence, and success. One promising venue for building belonging is the academic makerspace. Makerspaces provide a setting for informal learning and student connection inspired by creativity, discovery, and collaboration. Due to the flexible and informal nature of the makerspace environment, it is an ideal place to create social connections between students. Supporting students’ social and emotional development is an essential component to creating culturally competent, well-rounded engineers who exhibit a strong sense of belonging in engineering. Funded through the NSF Research Initiation in Engineering Formation (RIEF) program, this project researched the impact of integrating social engagement activities into an academic makerspace on the development of student sense of belonging. The primary research question explored the extent to which participation in the engagement activities leads to an increased sense of belonging for engineering students. Spanning a two-year period, a series 32 of social engagement events were hosted in the engineering department makerspace. The authors collected data about students perceived social belonging in both the makerspace and the department. Students completed two surveys: a pre-survey administered at the beginning of the social engagement activity and a post-survey administered at the end of each academic year. Findings indicate the social engagement events had a positive impact on the development of student sense of belonging to both the makerspace and the engineering department. These results are encouraging as they suggest that events designed to support the social and emotional development of students can positively impact student sense of belonging to a makerspace environment and, more broadly, to engineering. By creating supportive communities of students built on shared experience and trust, we begin to develop the inclusive communities of learners that is a key component to diversifying pathways to engineering. 

In teaching mechanics, we use multiple representations of vectors to develop concepts and analysis techniques. These representations include pictorials, diagrams, symbols, numbers and narrative language. Through years of study as students, researchers, and teachers, we develop a fluency rooted in a deep conceptual understanding of what each representation communicates. Many novice learners, however, struggle to gain such understanding and rely on superficial mimicry of the problem solving procedures we demonstrate in examples. The term representational competence refers to the ability to interpret, switch between, and use multiple representations of a concept as appropriate for learning, communication and analysis. In engineering statics, an understanding of what each vector representation communicates and how to use different representations in problem solving is important to the development of both conceptual and procedural knowledge. Science education literature identifies representational competence as a marker of true conceptual understanding. This paper presents development work for a new assessment instrument designed to measure representational competence with vectors in an engineering mechanics context. We developed the assessment over two successive terms in statics courses at a community college, a medium-sized regional university, and a large state university. We started with twelve multiple-choice questions that survey the vector representations commonly employed in statics. Each question requires the student to interpret and/or use two or more different representations of vectors and requires no calculation beyond single digit integer arithmetic. Distractor answer choices include common student mistakes and misconceptions drawn from the literature and from our teaching experience. We piloted these twelve questions as a timed section of the first exam in fall 2018 statics courses at both Whatcom Community College (WCC) and Western Washington University. Analysis of students’ unprompted use of vector representations on the open-ended problem-solving section of the same exam provides evidence of the assessment’s validity as a measurement instrument for representational competence. We found a positive correlation between students’ accurate and effective use of representations and their score on the multiple choice test. We gathered additional validity evidence by reviewing student responses on an exam wrapper reflection. We used item difficulty and item discrimination scores (point-biserial correlation) to eliminate two questions and revised the remaining questions to improve clarity and discriminatory power. We administered the revised version in two contexts: (1) again as part of the first exam in the winter 2019 Statics course at WCC, and (2) as an extra credit opportunity for statics students at Utah State University. This paper includes sample questions from the assessment to illustrate the approach. The full assessment is available to interested instructors and researchers through an online tool.