during the quiz assessment. Inthis paper, we will describe the assessment, reflection assignment, and coding scheme, and usecoded student data to test this hypothesis.Keywords: Reflection, Bloom’s Taxonomy, Critical-thinking, Fluid MechanicsAuthors: B.F. Yraguen, A. K. Lummus, H.E. Koolman, R.A. Moore, K.K. FuIntroduction The gap between engineering curriculum and practice has widened in recent years [1].According to employers, students graduating in recent years struggle to navigate less-definedproblem spaces, including navigating constraints and open-ended problem-solving as compared toengineers who graduated ten years ago [2]. Graduates now need additional training in theworkplace to “acquire missing competencies” [3]. Further
involve challenging the students to “gettheir hands dirty” by actually creating and executing an original set of procedures for a labexperiment that the students have devised. One example is part of an introductorythermodynamics course in which students are tasked with “designing an experiment with aspecific purpose such as determining the efficiency of a light bulb as an emitter of light.”1 This“hands-on” approach is believed to be commendable, and is herewith followed, since it providesdirect evidence to satisfy ABET criteria regarding design of experiments. According to their latest criteria for accrediting engineering programs, ABET specifies incriterion 3 (student outcome 6) that undergraduate engineering students should demonstrate
students from underrepresented groups to study and work in STEM fields.Johanna Milord Counseling PsychologyLisa Y Flores (Professor)Rose M Marra (Director) © American Society for Engineering Education, 2022 Powered by www.slayte.com Work in Progress: Faculty choice and reflection on teaching strategies to improve engineering self-efficacyAbstractThis work-in-progress paper seeks to examine faculty choice of teaching strategies to improvestudents’ engineering self-efficacy [1], [2] (belief in one’s abilities to successfully accomplishtasks in engineering) as well as their reflections on the effectiveness of the teaching strategy.Increases in self
education ecosystem is essential to effective educational outcomes andsocietal advancement [1]. Mobile devices such as smartphones, tablets, and tablet computersenable learning anytime and from any location [2], blurring the boundaries between formal andinformal learning [3]. When paired with effective pedagogy, mobile technologies can positivelyimpact the teaching and learning experience for students in high-demand science, technology,engineering and mathematics (STEM) disciplines, increasing the flexibility and ease with whichthey are able to pursue their education while developing their professional identities as engineers[1]. Student retention remains a problem in STEM programs [4-7]. In engineering, many studentsdo not even make it past their
changes. It is especially important to ensureunderrepresented students’ perspectives are not lost or muted within large data sets. Althoughqualitative research is critical, it can be extremely time consuming. A common practice inanalyzing qualitative data is to develop a coding scheme or framework to analyze data, trainresearch assistants (RAs) to apply the framework, ensure sufficient inter-rater reliability, andthen have RAs analyze the data [1-3]. Some researchers also discuss the use of machine learningor artificial intelligence to help throughout the qualitative data analysis process as anotherpathway to analyzing data [4-9]. This paper explores the idea of developing and using acomputer program to assist in coding open-ended survey
, teamwork, and networking. Students who earn a3.4 GPA and a 1050 on the SAT or a 20 on the ACT are guaranteed direct admittance into thePurdue Polytechnic Institute at Purdue University.IntroductionAccording to the Pew Research Center, Black and Latinx workers remain underrepresented inthe STEM workforce [1]. To increase diversity in the STEM workforce, Purdue PolytechnicHigh School (PPHS), a charter school based in Indianapolis, IN, was established to achievebroader academic and workforce goals. The school uses a competency-based model to engagestudents in the classroom. PPHS fosters a sense of community for students by cultivatingdiversity in teachers, focusing on project-based learning, and providing students with aconstructive and collaborative
these positive experiences were based onconnections made with students within the department as well as the friendly environment thatthe faculty fosters. These findings provide a first step in creating a user experience tool toevaluate student experience in engineering departments.IntroductionStudent voice has been increasingly integrated into the design and improvement of educationalexperiences. Student input is increasingly being solicited to enhance student satisfaction [1].Feedback from students has focused on curricular improvements. For example, student feedbackhas been used to solicit input on the used of flipped classrooms [2], course and lab structures [3],and overall course experience [4]. Especially during the COVID-era, student
’ social interactions fundamentally changed in March of 2020 when the COVID-19 pandemic forced universities worldwide to shift to emergency remote teaching (ERT).Student’s relationships were no longer based on frequent, in-person interacts with members ofthe campus community. Face-to-face classes and co-curricular activities on campuses halted andstudents faced changes in living situations as they sheltered-in-place with family or friends [1],[2].The changes in social interactions caused by the pandemic are concerning to educators becausethese interactions are important for learning. Learning is a social activity and social interactionsare necessary to develop deep understandings of new and complex ideas [3]–[6]. Engineeringstudents frequently
Awards (in 2017, 2018, 2019, and 2021) from Purdue University's Excellence in Research Awards programs in recognition of obtaining four external grants of $1 million or more during each year. His research has been generously funded by grants from the Institute of Education Sciences (IES), the U.S. Department of Defense (DoD), Purdue Research Foundation (PRF), and the National Science Foundation (NSF). © American Society for Engineering Education, 2022 Powered by www.slayte.com WIP: Role of Digital Nudging Strategies on STEM Students’ Application EngagementAbstractThe aim of this work-in progress study is to explore the impact of digital nudging strategieson the
schools to go fully online for the protection of everyone. Due to the closure ofuniversities and the shift to online teaching, one significant change was in the adoption ofmultiple and divergent modes of instruction. Instructors worldwide had to develop creativeand innovative ways of teaching to keep students engaged and impart knowledge [1], [2].Within days of emergency transition, all instructors transitioned online and were fullyfunctional. Although this was not what anyone had signed up for when Spring 2020 began,the last few semesters remained a challenge for instructors. However, the noticeableachievement of instructors was the use of innovative strategies to teach their classes, engagestudents, maintain students' attention, and enhance
[1], [2]. Onerecommendation made by researchers and policy-makers is to increase students’ sense ofengineering identity and engineering self-efficacy [2]. Conceptualizations of these constructsoften include some form of problem-solving [2]-[4]. Therefore, it is reasonable to surmiseproblem-solving self-efficacy (i.e., belief in one’s ability to solve problems) is a core componentof engineering identity and engineering self-efficacy, and that increasing it will increase them.However, before investigating methods to increase problem-solving self-efficacy, researchersmust operationally define it and adopt a reliable and valid measure of it, whether through scaledevelopment or adaptation of a pre-existing scale, the latter of which is the
encompassed autonomously navigating through the hallways of theengineering building, or physical competitions in which the goal is to push the opponent’s robot out of adefined area. While we have a very capable Makerspace[1] in our engineering building, EE students havetypically used it in one of two ways. The first was to 3D print components for robot-competitionprojects. The other, which is more common, is to 3D print an enclosure at the end of a project andalmost as an afterthought. This results in our students focusing on one small part of what could be amuch larger development effort in industry and to miss out on how other facets of an engineeringproject influence their work, and vice versa. To provide a broader and more realistic
) © American Society for Engineering Education, 2022 Powered by www.slayte.com An Undergraduate Research Experience in Unmanned Aircraft Systems (UAS) Cybersecurity – Outcomes and Lessons LearnedAbstractThis paper is an update of a Work-in-Progress presented at the ASEE 2021 virtual conference [1]and includes new data from after the 2021 paper was accepted for publication. An undergraduateresearch experience was developed in response to an Office of Naval Research program seekingto develop “innovative solutions that directly maintain, or cultivate a diverse, world-class STEMworkforce in order to maintain the U.S. Navy and Marine Corps' technological superiority.”During the fall 2020
needs. To achieve a better sustainable economic and socialdevelopment, China’s government has implemented some major strategies in the field of Science,Technology, Engineering and Mathematics (STEM). Still, the critical factors in great need are engineeringand technology talents. So the reform of China’s engineering education is the key to solutions for thesechallenges, as a result, China’s higher education management departments point out a new engineeringeducation reforming direction: Emerging Engineering Education transformation (3E transformation)[1].Emerging Engineering Education emphasizes students’ practicability, crossover, and comprehensiveunderstanding of subjects more[2]. Now as a most essential transformative experiment in
develop the study reported in this paper.These stories underscored the inequities too often present in engineering teamwork, particularlyaround project management and communication. These inequities often mean women areburdened with the “menial tasks” of projects [1], thus undermining the message thatcommunication is as essential as technical work. Despite the field’s acknowledgments thatcommunication and teamwork skills are essential, technical skills are still more highly valued,and women are often asked to take up more management and communication tasks and blockedfrom the technical [2]. In fact, studies have found that these divisions often lead women inparticular to leave engineering: while making up 20% of all engineering graduates, “nearly
-Learning and Community in a Virtual Bioengineering Laboratory CourseIntroductionOnline enrollment in engineering courses has been steadily increasing, further fueled by theCOVID-19 pandemic [1, 2]. Unfortunately, the online environment creates barriers to the waystudents interact with each other and their instructor. In an in-person bioengineering laboratoryclass, for example, students interact with their peers and instructors freely – entering and exitingconversations as-needed and seeking support when a problem arises. Discussions center aroundchallenges the students are facing in real time and learning happens not only from the instructorbut from peers as well. In addition to meeting educational outcomes, time in the laboratory
direction of futureinvestments in BPC efforts.In pursuit of this goal, the following research questions are addressed: 1. What are the common themes across educational pathway experiences that emerge from the analysis of computing professionals’ data across racial and gender dimensions? 2. Which of these common experiences result in successful long-term (greater than 3 years) employment outcomes in the technology sector for women and blacks? 3. How do the findings of this study inform national investment in broadening participation efforts that seek to increase racial and gender diversity in the computing workforce?This research studies the computing education and workforce landscape within the United Statesof America with
borderlands of identity from Mexican American women in Engineering and Computer Science (Work in Progress)Out of close to 2 million students enrolled in 2018, only around 2.8% of Latina students earned abachelor’s degree in science and engineering [1]. In engineering, Latino men earned 3.5 timesthe number of bachelor’s degrees in engineering as Latina women did [2] while Latina womenmake up only 2% of all computing bachelor’s degrees [3]. Previous literature on Latina studentsin engineering and computing within higher education has shown the importance of identityformation and community cultural wealth [4] [5], having a strong network of support from peers,advisors, and faculty, particularly those from the same race/ethnicity [6] - [8], and
STEM.IntroductionResearch has shown that mentoring can improve the participation and persistence of historicallymarginalized students in STEM particularly students who identify as Black, Hispanic/Latinx, andIndigenous [1]–[3]. Mentors have been tasked with the role of supporting mentees in careerdevelopment as well as psychosocial support [3], [4]. Mentors have varying approaches tosupport their minoritized mentees. For example, mentors can use a guidance and resourcedirected approach, or an empathetic approach [5]. The context in which mentoring occurs (e.g.,in a research group or informal) can also influence the outcome [6]. There have been severalstudies on mentoring of students. However, there is a paucity of literature that examines effectivementoring
DEI, engineering departments and colleges haveprioritized plans and proposals for inclusive communities on campus and initiatives to diversifyfaculty and students [1].Research shows that hindrances of DEI change efforts are systemic and require an analysis of allorganizational structures within a system [2]. Through these efforts, it has been suggested thatengineering leaders in academia, including faculty, share the responsibility of educatingthemselves and others about topics surrounding DEI. This process includes engaging in difficultconversations, in which understanding local context is essential to change efforts. Due to thisresponsibility, understanding engineering faculty beliefs about DEI is necessary to utilizepositive change and
Institutions (CAHSI) expands adoption of evidence-based, multi-institutional graduate support structures that lead to Latinx students’ success. The strategicefforts address well-documented barriers among graduate students (across all areas of study),e.g., feeling of isolation, lack of support structures, deficit thinking, and negative departmentalclimate [1], [2], [3], [4], [5]. The CAHSI Alliance was established in the early 2000s to create aunified voice of HSIs in consolidating resources and strengths committed to increasing thenumber of Latinx students in computing. The CAHSI Alliance’s success in increasing the representation of Hispanics in
compute the EPG system costs. Next Generation Science Standards •MS-ETS1-1; MS-ETS1-2; MS-ETS1-3; MS-ETS1-4; MS-PS1-2; MS- PS3-1; MS-PS4-1; MS-PS4-2; MS-LS2-5; Common Core Standards for Mathematics •MP.4; 6.SP.B.4; 6.SP.B.4; 6.RP.A.1; 6.RP.A.3The Center for the Innovative and Strategic Transformation ofAlkane Resources (CISTAR) is a National Science Foundation (NSF)Engineering Research Center (ERC) focused on shale resources as abridge to renewable energy. CISTAR Pre-College Education objectives areto stimulate interest in engineering careers at the middle and high schoollevels and to strengthen pathways to promote the participation ofunderrepresented students in
data and what might this tell us about our values and epistemologies?Journal articles that are qualitative, engineering education, and published in 2019 were identifiedthrough database searches of Engineering Village and Google Scholar resulting in 27 journalarticles from nine journals. The analysis followed a process presented in the book,Reconceptualizing Qualitative Research [1] and involved multiple readings of each journalarticle and considerations of the types and amounts of data, the relationships between researchersand the data, the types of questions authors tried to answer with their data, how authors workedwith and learned from their data, and how data was analyzed.The results suggest a range of types and amounts of data collected
) class using Creo Parametric, a feature-based solid modelingprogram. In spring 2019, the author instructed students in a traditional classroom setting, goingstep-by-step through the first ten lessons in Toogood [1]. However, in spring 2020 when classesshifted online due to the pandemic, the author decided to shift his instruction to a recorded videoformat. This approach provided students with more flexibility and a greater sense of control overtheir learning process. Students responded very well to this approach and performed better, onaverage, than in 2019. The recorded video approach also seemed to align well with the attentionto detail required for computer modeling. Therefore, the author used this video tutorial approacheven more extensively
metric.Our results suggest that engineering must do more to improve the racial climate and understandracial identity. Once engineering communities understand the importance of racial and ethnicidentity the more inclusive the spaces can be that will help ensure participation and increaserepresentation of Black students.IntroductionFor decades, administrators, researchers and scholars have been reporting on the demographicdisparities in representation amongst Black students in engineering [1]. Workforce developmenthas been asking for more diversity and an increase in representation, but numbers have remainedstagnant [2] – [3]. Culture in colleges of engineering have been described as chilly [4]. There arenoted campus climate issues around race, class
relationships as sources of knowledge to better understand students and theirbackgrounds, and consequently teach them in a more effective manner (Moll et al., 1992).This allows for a more flexible teaching style in which students are not limited to following aspecific method but are given greater liberty to approach problems in different ways to yieldthe same result (Moll et al., 1992).Figure 1. Model illustrating how the constructs of funds of knowledge and engineeringeducation are related As illustrated in the figure 1, there are 10 latent constructs that constitute the funds ofknowledge instrument to be assessed: (1) tinkering knowledge from home, (2) tinkeringknowledge from work, (3) connecting experiences, (4) networks from family members
that underrepresented students who intend to persist haveinternalized the dominant culture within ECS, which helps enable their success. For studentswho have not internalized that culture, the ‘chilly climate’ is likely all the chillier, which mayinfluence their persistence.1. IntroductionUndergraduate retention and persistence has been studied extensively in higher education andwithin engineering education [1]–[6]. In STEM fields like engineering, retaining students isimportant to building and growing a talented and qualified technical workforce to drive longterm economic growth and help solve societal challenges. Despite decades of research, six-yeargraduation rates within U.S. engineering undergraduate programs remain about 60% [7]–[9].This
component parts or sub-problems, involving multiple disciplines,or having significant consequences in a range of contexts” [1].With two student outcomes (SO-2 and SO-4), ABET clearly connects critical thinking with asense of student growth in the realm of ethics and professional responsibility: SO-2: an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors SO-4: an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic
Engineering Research Centers (ERCs) across the nation have been funded by theNational Science Foundation (NSF) since 1985; 14 are currently operating [1]. These ERCs haveplayed a big part in not only advancing engineering and technology but also integrating research,education, and workforce development [1]. NSF requires each ERC to provide educational andprofessional development opportunities for professionals, post-doctoral researchers, graduatestudents, undergraduate students, K-14 teachers, and K-12 students. At the same time, data-driven approaches are recommended to evaluate and track the performance and impacts of theseopportunities [2]; findings are required as part of the center’s annual report and site visitpresentations. The responsibility