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1. The Broader Impacts of an Additive Manufacturing Course at Three Large Universities

   Maloney, Patricia ; Cong, Weilong ; Zhang, Meng ; Li, Bingbing ( June 2020 , Proceedings of the American Society for Engineering Education)

   This paper documents the effects of an additive manufacturing course on two sets of students: (1) the undergraduates who took the course and (2) the middle and high school students who visited our labs. At the time of the conference, nine semesters of data (three years at three schools) will have been collected, as well as data from the middle and high school students who visited our labs. Overall, our research questions were: (1) what is the effect of this course on the content knowledge of (a) enrolled undergraduates and (b) middle and high school students? And (2) what is the effect of this course on the attitudes towards engineering and self-efficacy in engineering for (a) enrolled undergraduates and (b) middle and high school students? To determine the answers, our longitudinal matched-pairs data collection was conducted. In short, as measured by t-test, all students improved on content knowledge (p<.01), but female students improved slightly more than male students (+9.89 versus +9.01, respectively). Undergraduates did not change their minds about the factors that are important in engineering, although they did significantly change their self-efficacy ratings in some skills because of the course. In particular, undergraduates rated themselves higher in teamwork, creativity, and technical skills, which reflect the content and focus of the course. Additionally, we brought multiple field trips of middle and high school students into our labs for outreach. Using a simplified version of the metric described above, we can see that all students improved on content knowledge. 

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2. The Cumulative Effects of an NSF-Funded Additive Manufacturing Course at Three Large State Universities and Their Surrounding Communities

   Maloney, Patricia. ; Cong, Weilong. ; Zhang, Meng. ; Li, Bingbing. ( August 2022 , Proceedings ASEE annual conference)

   This paper is the culmination of four years of an NSF-funded project implementing and assessing an undergraduate additive manufacturing course at three large state universities: Texas Tech University, Kansas State University, and California State University – Northridge. The research questions addressed are: (1) What are the changes in skill and knowledge concerning additive manufacturing experienced by undergraduate students? (2) What is the effect of this course on attitudes towards engineering and self-efficacy in engineering for enrolled undergraduate students? The sample consists of four years of data from the undergraduate students enrolled in the course at all three universities (combined N = 196). Our method for data collection was matched-pair surveys that contained both (i) an assessment for content knowledge and (ii) an attitudinal assessment previously validated in published research for data collection about attitudes towards engineering. Matched-pair surveys means that we collected data from Student X at Time 1 (before being taught) and then again from at Time 2 (after being taught) and are able to directly compare any change in content knowledge or attitude within the same person. We also collected demographic information to be able to see whether changes in, for example, women differed from those in men. All undergraduates experienced statistically significant increases in content knowledge and additive manufacturing skills. In an intriguing finding, female students outperformed male students, which fits with the research that indicates that engineering courses which emphasize pragmatic and real-world applications, as well as those that use group work, will disproportionately help underserved engineering populations like women and people of color succeed. Fitting with the above finding, undergraduates noted that they perceived that they had increased in teamwork, communication, and computer programming skills. These gains were particularly high in female students and students of color. 

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3. Assessing the Results of an Additive Manufacturing Course at Three Large Universities on Undergraduates and High School Students

   https://doi.org/10.18260/1-2--32475  

   Maloney, Patricia A ; Cong, Weilong ; Zhang, Meng ; Li, Bingbing ( June 2019 , 2019 ASEE Annual Conference & Exposition)

   Additive manufacturing (AM) is prevalent in academic, industrial, and layperson use for the design and creation of objects via joining materials together in a layer upon layer fashion. However, few universities have an undergraduate course dedicated to it. Thus, using NSF IUSE support [grant number redacted for review] from the Exploration and Design Tier of the Engaged Student Learning Track, this project has created and implemented such a course at three large universities: Texas Tech (a Carnegie high research productivity and Hispanic Serving Institution), Kansas State (a Carnegie high research productivity and land grant university) and California State, Northridge (the largest of all the California State campuses and highly ranked in serving underprivileged students). Our research team includes engineering professors and a sociologist trained in assessment and K-12 outreach to determine the effects of the course on the undergraduate and high school students. We are currently in year two of the three years of NSF support. The course focuses on the fundamentals of the three families of prevailing AM processes: extrusion-based, powder-based, and liquid-based, as well as learning about practical solutions to additive manufacturing of common engineering materials including polymers, metals and alloys, ceramics, and composites. It has a lecture plus lab format, in that students learn the fundamentals in a classroom, but then apply and broaden their knowledge in lab projects and independent studies. Additionally, as outreach, we host field trips from local high schools during which the undergraduates give presentations about discrete AM skills, then lead the high school students through a lab project focused on those skills. This creates a pipeline of knowledge about AM for younger students as well as an opportunity for undergraduates to develop leadership and speaking skills while solidifying their knowledge. We are also in the process of uploading videos and lab projects to an online Google Classroom so that those with access to 3D printers in other areas can learn online for free. We are also self-publishing an accompanying textbook and lab manual. Beyond the course itself, one of the innovations of our project is the assessment strategy. For both undergraduates and high school students, we have been able to collect content area knowledge both before and after the class, as well as information about their attitudes towards engineering and self-efficacy beliefs. This has been particularly illuminating in regards to subgroups like women and students of color. Our research questions include: i) what is the knowledge growth about AM during this course? ii) does this differ by university? iii) does this differ by gender or race? iv) what are the best ways to make this course portable to other universities? Preliminary results indicate a statistically significant improvement in knowledge for all students. This was particularly true for women, which may indicate the promise of AM courses in decreasing the female dropout rate in engineering. Attitudes towards engineering and self-efficacy perceptions also differed after the class, but in varying ways by demographic subgroups and university. This will be explored more in the paper. 

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4. The Effect of a Paired Lab on Course Completion and Grades in Nonmajors Introductory Biology

   https://doi.org/10.1187/cbe.20-03-0041  

   DeFeo, Dayna Jean ; Bibler, Andrew ; Gerken, Sarah ; Schussler, Elisabeth ( September 2020 , CBE—Life Sciences Education)

   This paper explores the effect of a paired lab course on students’ course outcomes in nonmajors introductory biology at the University of Alaska Anchorage. We compare course completion and final grades for 10,793 students (3736 who simultaneously enrolled in the lab and 7057 who did not). Unconditionally, students who self-select into the lab are more likely to complete the course and to earn a higher grade than students who do not. However, when we condition on observable course, academic, and demographic characteristics, we find much of this difference in student performance outcomes is attributable to selection bias, rather than an effect of the lab itself. The data and discussion challenge the misconception that labs serve as recitations for lecture content, noting that the learning objectives of science labs should be more clearly articulated and assessed independent of lecture course outcomes. 

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5. The Continued Development and Validity Testing of an Engineering Design Value-Expectancy Scale (EDVES) for High School Students

   Youssef, S. ( August 2022 , ASEE Annual Conference & Exposition)

   As more institutions create first year engineering programs that teach an engineering design process, there is a growing desire to prepare students for this coursework in the high school setting. When exposing such a broad population to these ideas, a primary question arises regarding student attitudes toward engineering and how these attitudes develop over time. That is, how does this exposure to engineering design influence student attitudes toward engineering? Moreover, answering this question will allow educators to better understand what motivates students to learn, how much their motivation impacts their overall mastery of these skills, and how these aspects of engineering self-efficacy and engineering design may differ between those who are on a pre-engineering track and those who are not. To begin answering this question, high school students enrolled in the Olathe City school system of Olathe, Kansas completed Engineering Problem-Framing Design Activities (EPDAs) in participating science courses (AP physics, physics, advanced biotechnology, chemistry, honors chemistry, biology, honors biology, and physical science specifically) of the traditional science and engineering academy curriculums offered by the district. Student engineering self-efficacy and motivation was also measured at the beginning and end of their coursework. This was conducted via a new instrument, the Engineering Design Value-Expectancy Scale (EDVES), which includes 38 items across three primary subscales: expectancy of success in, perceived value of, and identification with engineering and design. The development of this tool was presented and discussed in a previous study where the EDVES instrument was analyzed for validity among first-year undergraduate engineering students. In this work, the responses of high school students on the EDVES were analyzed to establish validity in this new population and to begin exploring trends in student responses based on their sub-population. Validity testing was completed via Cook’s validation evidence model with respect to scoring, generalization, and extrapolation evidence. The pre-course EDVES responses obtained were used to complete validation and trend analysis (note that post-course data was not readily available at the time of analysis). 

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