Paper ID #36937Evaluation of Student Preparedness for Returning to In-Person Laboratory CoursesChristina Phillips Ms. Christina Phillips, University of Massachusetts, Lowell Christina Phillips is passionate about teaching and learning STEM content and is an adjunct professor at the University of Massachusetts Lowell, 1 University Ave, Lowell, MA 01854; Christina_Phillips@uml.eduDohn Bowden Mr. Dohn A. Bowden, University of Massachusetts, Lowell Dohn Bowden is a doctoral student in Research and Evaluation in Education in the College of Education and is the Sr. Electrical Engineering Lab Manager at University of
Engineers are expected to solve grand challenges by applying math and science skills, butmost undergraduate curricula teach these technical skills in isolation, without connecting them tothe challenges facing society today. Research has shown that providing an applied sociotechnicalcontext within the engineering disciplines can enhance learning [1], [2], [3] and increasestudents’ satisfaction and interest - especially among marginalized groups in engineering [3].Equations, free body diagrams, and textbook homework assignments dominate typical in-classengineering discussion, so students can lose sight of their field’s significance. This disconnectcan make it harder for students to understand the social responsibility that comes withengineering
becoupled and used as a compliment when teaching the entrepreneurial mindset (EM) to broadenparticipation within the engineering disciplines. The guiding research question was as follows:How does the entrepreneurial mindset, bio-inspired design, and STEAM-integrated engineeringinstruction support engineering educator curriculum development? The data collectioninstrument was in the form of a workshop “exit ticket” which asked participants to respond toopen-ended questions and photovoice reflections. The preliminary findings highlighted four keythemes: (1) multiple perspectives, (2) intersectionality focus of arts, (3) benefits of learning thatgo beyond this PD, and (4) desire to learn more. These findings, obtained from participants at thebeginning
sharing our “tricks of the trade,” wehope to empower developing researchers to explore the impacts of informal learning in STEM.IntroductionIn response to numerous calls for improved STEM preparation at all levels in the United States(e.g., [1]–[3]), there has been a renewed focus on STEM education, particularly at the primaryand secondary education levels. This includes in-school opportunities, such as the introduction ofthe Next Generation Science Standards (NGSS) [4], which seek to integrate engineering andtechnology into science curricula at all levels, along with a range of informal STEM experiences[5]. With this interest has come an increased research focus in the same area. For example, in aliterature review centered on pre-college
Institute (E2SI) heldannually by the College of Engineering at Villanova University. It provides an overview of theM3, which evolved from our more traditional mentor model. M3 was developed in the Spring of2021 through collaboration between the Engineering Entrepreneurship faculty (Faculty) in theCollege of Engineering and a new student-run organization, the E2SI Alumni MentorshipNetwork (Alumni Network).Mentoring incorporates the transfer of knowledge, skills, and ability through shared experience.The mentorship relationship serves to develop and strengthen self-confidence and entrepreneurialself-efficacy in the mentee [1]. Entrepreneurial mentors impact a wide range of behavioral andeconomic outcomes in a new venture, including entrepreneurial
Differential Chaotic Signals Electronics Junior Level Equations and Systems Feeedback Communications Machine Learning Senior Level Systems and Radar Figure 1. Proposed Electrical Engineering curriculum map.TheorySince the response of second-order linear systems are characterized by oscillation, their study isperfectly carried out using eigenvalue, Laplace and Fourier analysis. The archetypical example isthe harmonic oscillator described by a second-order ordinary differential equation. A dissipationterm is included to enable a discussion of stability. When a sinusoidal
on the homework assignmentsthat a significant fraction of the students failed to use modular techniques to solve the quadraticequations that were assigned and it was suspected that many of those that did were unsure ofwhy they needed to employ them. After constructing quadratic equations that took advantage ofthe peculiar properties of modular arithmetic the students were unable to use real arithmetictechniques and had to resort to modular methods thus reinforcing the need to use those methodsto solve the modular equations.IntroductionModular arithmetic is a staple of modern cryptography[1][4]. While Discrete Mathematics is aprerequisite for the Introduction to Cryptography course at the USCGA, students still struggle toappreciate the
principles are used in design projects to cultivate an empatheticunderstanding of stakeholders’ needs. A common ethnographic research practice issemi-structured, direct-dialogue interviews between design team members and stakeholders ofthe project. Students who conduct interviews for design research projects are often “novices,”with little or no prior experience in ethnographic research. Interviewers who have been trained ininterviewing have been shown to produce more accurate and in depth information [1]. This studyposes the question: How might we verify that novices have baseline competency for conductingethnographic design interviews before engaging in interviews for the design project?Ethnographic research in design differs from other user
-area of their engineering discipline. However, these forms of assessment position theinstructor as the sole evaluator of proficiency, which leaves little space for students to engage inassessing their own learning [1]. Yet, to prepare for engineering practice and the lifelonglearning that necessarily accompanies it, students need to develop strategies to self-evaluate thequality of their knowledge and skills [2]. Students could begin to do so during theirundergraduate years. Filling the gap that exams leave behind, “sustainable assessment” methodsin undergraduate courses can equip students with these strategies for self-evaluation of theirengineering competencies [3]. ePortfolios can facilitate sustainable assessment by encouragingstudents to
. Results will be available for the presentation at the time of theconference. While a single course may not have wide ranging changes across the population, it isexpected that aspects of the program will show impact and these will be explored.Keywords: Community-engagement, empathy, designIntroductionTo design effectively, engineers need to understand their diverse stakeholders to design conceptsand products that are both innovative and aligned with actual user needs and desires. Moreover,this increased understanding can support students’ creative and innovation capacities [1]. Withincreased global competition and the need to innovate, there is a growing need for moreempathic engineers and an increasing need for more research in the area to
education and program evaluation and assessment. She has held a variety of administrative positions: 1) Director of STEM Faculty Development Initiatives-Clemson, 2) Associate Dean for Undergraduate Studies in the College of Engineering, Computing and Applied Sciences-Clemson, 3) Interim Director of Student Services-Oklahoma State University, 4) Coordinator of the Women in Engineering Program-Oklahoma State University, and 5) Director of the Oklahoma State University Measurement and Control Engineering Center-Oklahoma State University. © American Society for Engineering Education, 2022 Powered by www.slayte.com Work in Progress: Exploring Transfer Student’s
in an interdisciplinary process ofeffectively creating and implementing OER. Librarians have the knowledge and skills to workwith faculty to meet the needs of individual learners by working as co-designers in the use andmodification of existing OER and the creation of new OER [1]. They are also useful guides onOER since many faculty members are unaware of these resources [2]. Previous work hadexpressed the need to explore the use of OER in engineering libraries [3]. The work we share inthis paper involves a grant supporting the creation of OER in engineering led by an academiclibrarian. The paper discusses our ongoing design-based research focused on ourinterdisciplinary, multi-institutional collaborative OER development grant, funded by the
service sector. He is also active in engineering education research with a focus on the formation of ethical engineers. Kingsley is also a current RIEF mentee.Ideliz Celes Roman (University of South Florida) © American Society for Engineering Education, 2022 Powered by www.slayte.com Cultivating the Ethical Identities of STEM Students Through Enhanced Internships Michelle Hughes Miller, Elaine Englehardt, Michael Pritchard, Susan LeFrancois, Grisselle Centeno, Kingsley A. Reeves, Jr., Miguel Amaral, Alberto Garabatos Tormo, Ideliz Celes RomanIntroductionThe oft-cited model of the engineer identity by Godwin [1] is comprised
: curiosity, connections, and creating value. These 3Csform the primary student learning outcomes of what is referred to as the entrepreneurial mindset(EM), as defined by the Kern Entrepreneurial Engineering Network (KEEN) which presentlyconsists of over 3500 faculty and staff across 340 institutions [1]. The goal of KEEN is to helpeducators within its network ‘focus on one mission: To reach all their undergraduate engineeringstudents with an EM so that they can create personal, economic, and societal value through alifetime of meaningful work.’ As such, KEEN has created a multitude of ways to train educatorsto incorporate EM within curricula and allow sharing of findings among its members within itsonline repository. While KEEN has certainly been a
Powered by www.slayte.com Exploring the Relationship Between Undergraduate Students’ Level of Engagement and Their Perceptions of SupportAbstract Providing support to undergraduate students pursuing STEM (science, technology,engineering, and mathematics) degrees is important for student retention. In recognition of thisimportance, academic institutions allocate substantial resources to provide such support insideand outside of class. Support can take on a range of different forms and, in thinking holisticallyabout all support mechanisms, colleges are often faced with the challenge of identifying theefficacy of its investments in student support. This scenario led Lee and Matusovich [1] todevelop the model of co
the efficacy of certain teachingmethodology[4], [5], while others seek to catch problems early enough in the semester to stillhave time to intervene [6], [7]. Some of these studies require designing certain randomizedexperiments [1], [2], [4], [6]. Yet there are studies similar to ours that focus on utilizing the datathat the ubiquitous LMS's gather based on student activities and interactions with the coursematerials. In this section, we review some of that work.Umer et al [2] use several machine learning (ML) algorithms to predict student outcomes in acourse by mining the LMS activity log data. They confirm the importance of LMS data inmaking such predictions but find out that having LMS data does not necessarily lead to improvedpredictive
Diagnostic (ECCD)1.0 IntroductionThe quantity and quality of students prior knowledge of basic concepts is pivotal to the ability to learnadvanced and complex STEM topics [1, 2]. As such, researchers endeavor to identify and researchpedagogies and tools that reveal misconceptions in students’ prior knowledge, in order to promoteconceptual change learning [3]. Researchers and instructors have employed different techniques to identifystudents’ misconceptions: including methods such as interviews, think-aloud and focus groups. However,these methods are labor-intensive, time-consuming, and require specialized skills to successfully use on alarge scale, or in classroom. Alternatively, concept inventories (CIs) have been designed to evaluatestudents
pipelinewith the goal of increasing the participation of under-represented minorities (URM) inbiomedical sciences research. Steep declines in the presence of these populations [1] within thebiomedical research sector have caused sufficient alarm that the NIH has tasked granteeinstitutions “to implement and study innovative approaches to engaging and retaining studentsfrom diverse backgrounds in biomedical research, potentially helping them on the pathway tobecome future contributors to the NIH-funded research enterprise [2].The goals of the BUILD grant dovetail well with intensive efforts within the physics communityto transform and enhance the Introductory Physics for Life Sciences (IPLS) course sequence inways that more fully integrate the
engineering education are scarce.Previous work by Crede and Borrego [1] and Kajfez and Creamer [2] examined mixed methodspublications across popular venues in the field like the Journal of Engineering Education andASEE conference proceedings. Crede and Borrego [1] focused primarily on the issue of mixingand priority (i.e., quantitative or qualitative dominance) using thematic analysis using criteriaestablished by Creswell and Plano Clark [3], whereas Kajfez and Creamer [2] focused onevaluating a selection of 16 articles using Creamer’s Mixed Methods Evaluation Rubric. Bothreviews focused on the concept of mixing, which is the fundamental quality of mixed methodsresearch used synonymously with the term integration – the point where qualitative
differentmechanics courses at two different universities.Self-assessment is not a new pedagogical technique and has been studied in many differentcontexts. David Boud has developed a well-established and accepted definition of self-assessment,its purpose, and example uses [1]. He states that SA is becoming an important part of educationbecause it allows students to become more effective and take responsibility for their learningwithout requiring the intervention of an instructor as typical assessments do [1]. Self-assessmenthas also been shown to improve student self-efficacy by increasing student understanding of thetask and their performance [2]. In a meta-analysis on SA done by Boud and Falchikov, they lookedat many examples of SA that compared student
efficiently. Advisors require tools to track advising sessions,create reports from such sessions, and alert them when an advisee’s performance declines. Onthe other hand, instructors need features around creating and organizing course materials andvisualizing grades and class performances. While some of the existing dashboards [1] and [2]have focused on these needs, in this paper, we focus on developing the components of a student-centered academic dashboard based on theory and empirical data.Academic dashboards and Learning Management Systems (LMSs) focus on students' connectionwith their advisors, viewing and tracking grades and course schedules, and keeping a history ofadvising appointments. One example of academic dashboards is Student Success
Texas at Austin. He is a Life Fellow of the Institute for Electrical and Electronics Engineers (IEEE) and a licensed professional engineer in Texas and Alabama. Carroll has co-authored three textbooks, a tutorial book, and numerous papers and technical reports. He has received an American Society for Engineering Education Outstanding Young Faculty Award, two National Aeronautics and Space Administration Technology Innovation Awards, and three IEEE Computer Society Service Awards. He is an IEEE Computer Society Golden Core Member and a recipient of the IEEE Third Millennium Medal. Carroll served as chair of the UTA Faculty Senate from September 1, 2019 to August 31, 2021. He served as Dean of the College of Engineering at
the quote from themovie Cool Hand Luke: “What we've got here is failure to communicate [1], [2]." The luridheadline reflects ongoing debate in STEM classrooms on what credence should be given toteacher and student expectations and how to reconcile them when they are at odds. Ubiquitousstudent surveys lack scientific rigor and provide limited insight on teaching effectiveness andhow to improve student outcomes. A teacher may have happy, inspired students and angry,frustrated students in the same classroom. We seek to understand why this is so and what wouldhave helped the struggling teacher and students. Students need help learning difficult subjectmatter. Teachers need help understanding their students’ needs and guidance on best
UpdateAbstractThis paper provides an update on our research exploring the college experience of science,technology, engineering, and math (STEM) college students with attention-deficit/ hyperactivitydisorder (ADHD). Individuals with ADHD make up a growing fraction of college students.Despite their increasing college presence, little is known about their college experiences andacademic success. This project involves three sequential studies guided by the social model ofdisability. Study 1 is a quantitative analysis investigating the relationship between pre-collegefactors, college experiences, and academic success of college students with ADHD. Study 2 is ascoping literature review of the college experiences of these students, and Study 3 is aqualitative
driven by entrepreneurship. For example, only 1 in 6 employees in SiliconValley startup companies are women (Financial Times 2017). In this study, we develop a fieldexperiment designed to increase entrepreneurial proclivity in undergraduate women studyingSTEM fields. Entrepreneurial proclivity is defined as the extent of an individual’s (1) intentionsto engage in entrepreneurship, (2) efforts to acquire knowledge about entrepreneurship, and (3)entrepreneurial actions. There is a general agreement in the literature that women are less likely than men to beinvolved in entrepreneurship [1], [2]. In 2016, women were majority owners for 38% of firms,and this ownership was concentrated primarily in non-STEM retail and service industries [3],[4
NahmaniAmanda SeskoKa Yee Yeung ©American Society for Engineering Education, 2023 ACCESS in STEM: An S-STEM Project at University of WashingtonTacoma Supporting Economically Disadvantaged STEM-Interested Students in their First Two YearsAbstractAchieving Change in our Communities for Equity and Student Success (ACCESS) in STEM atthe University of Washington Tacoma started as a Track 1 S-STEM program in 2018 and hassupported 69 students to date. This year we received Track 2 funding and welcomed our fifthcohort to campus, with funding to support ~32 additional students through 2026. University ofWashington Tacoma is an Asian American and Native American Pacific Islander-servinginstitution (AANAPISI
tailored support. Through C2WEST, Black students could also further realizeand conceptualize the access they have to their own aspirations regarding future career and lifegoals.IntroductionIn this theory paper, the aspirational capital of Black students will be examined through theC2WEST framework. A variety of research has examined the aspirations of Black students inSTEM in addition to other types of capital that Black students bring to the fields [1]–[4]. Yossodefines aspirational capital as the “ability to maintain hopes and dreams for the future, even inthe face of real and perceived barriers” [5, p. 77]. In a systematic review, Denton et al. [2]examined twenty-eight different studies that mentioned aspirational capital among
for others interested in designing and refining hands-on mechanics activitiestoward specific learning goals.IntroductionIn engineering statics courses students work with contexts and concepts from a broad range ofreal-world applications. While there are a variety of formulae and procedural ideas to be learnedand understood, it is also important to develop conceptual understanding of key course ideas.Active learning supports students’ performance in the STEM disciplines as compared totraditional lecture [1], particularly for students from historically marginalized groups [2], and cansupport the development of conceptual understanding. One way to do this is to use 3D models ofcommon statics concepts, such as vectors, forces, and moments to
of Indianapolis George D. Ricco is an engineering education educator who focuses on advanced analytical models applied to student progression, and teaching first-year engineering, engineering design principles, and project management. ©American Society for Engineering Education, 2023 WIP: Jigsaws as an Effective Approach for Development of Analytical and Collaboration Skills in Healthcare Systems and Process Design CoursesWhy Jigsaws?A Jigsaw is an active-learning method which expedites learning, collaborative problem-solving,and teamwork skills development [1-2]. Jigsaws have been used effectively in classroomsranging from K-12 to those in advanced engineering courses [3]. A Jigsaw implementation