these alternate spaces can increasestudent involvement and interest in the instructional content.It was demonstrated that pedagogies of self-generated stories and informal peer assessmentsprovide a unique opportunity for students to creatively make connections to academic content[1]. When aligned with instructional goals, student-created stories capture their attention andemotional interests while providing instructors a concrete and memorable insight into theirstudents’ learning [2, 3]. Stories also facilitate student learning through engagement, higher orderthinking, and elaboration [4, 5]. Besides using the stories to promote technological literacy [6],stories help students make meaning of their own experiences, building self-awareness
Engineering from Duke University in 1996 and 1998, respec- tively. She is currently an Associate Professor of the Practice in the Department of Electrical & Computer Engineering at Duke University. ©American Society for Engineering Education, 2023 Work in Progress: Evaluation of 360 Coaching to Support Whole-Student Advising in the First-YearIntroductionThis Work in Progress paper will describe an initial evaluation of a first-year advising programfirst implemented in academic year 2021-22 in the engineering school at a medium-sized private(Research I) university – 360 Coaching [1]. The goal of 360 Coaching is to provide whole-student support for our first-year students through
design and implementation of learning objective-based grading for transparent and fair assessment; and the integration of reflection to develop self-directed learners. ©American Society for Engineering Education, 2023 Response Process Validity of the CBE Adaptability Instrument When Used With Engineering InstructorsI. IntroductionThere have been several calls of action to change undergraduate engineering education with onefocus being on the adoption of research-based instructional practices [1]. Adoption of research-based instructional practices have been shown to contribute to attracting and retainingundergraduate STEM students [2]. This is particularly important given that more than
focus of the project has been enhancingthe courses taken by students early in the engineering curricula [2, 6]. This has included theintegration of significant design experiences into early curricular courses [1, 3, 7, 8]. Early in theproject, the freshmen introductory engineering courses taught within three departments:Chemical and Natural Gas Engineering (CNEN), Electrical Engineering and Computer Science(EECS), and Mechanical and Industrial Engineering (MIEN) were modified to include asignificant, collaborative, hands-on engineering design project [4, 5]. More recently theintroductory engineering course for the Civil and Architectural Engineering (CAEN) departmenthas also been updated to include a collaborative design project.The most recent
major search engines, Ethics: techniques for incorporating ethics in computer curriculum specifically in data science curriculum Programs/curricula: evaluating Data Science programs in the US and China and Retention: evaluating minority female retention in computer related degree programs. ©American Society for Engineering Education, 2023Retention of Female Minority Students in Bachelor STEM Degree Programs: An Exploratory Study of Five Cohorts1.0 Introduction Female minority students are underrepresented in academic based undergraduate science,technology, engineering and mathematics (STEM) degree programs [1]. This group of studentswhich is comprised of American Indian or
increase engagement in science, technology, engineering, and math(STEM). Recent studies have made significant advances in unveiling LGBTQ+ inequities andmarginalization in STEM, such as disparate retention rates in STEM educational programs [1] andprofessional devaluation [2]. These emerging studies suggest that the LGBTQ+ community ismarginalized and that the LGBTQ+ community should be included in efforts to broaden participation inSTEM.Suitably, the number of grants awarded to study and support the lesbian, gay, bisexual, transgender,and queer (LGBTQ+) community in STEM fields has grown over the past few decades. For example, in2020, the NSF awarded the first-ever CAREER grant that explicitly included the acronym “LGBTQ” in theproposal title
)IntroductionLabor market indicators predict continued growth of well-paid employment in science andengineering[1], but evidence suggests lower readiness among rural students for jobs in these fields.Rural students are now graduating at rates comparable to their urban and suburban peers, butcontinue to fall behind in pursuing postsecondary education, including in engineering[2]. Multiplestudies indicate that these differences begin long before individuals enter the workforce and arebased in large part on the students’ sense of belonging in science, technology, engineering, andmathematics (STEM)[3-4]. Evidence points to the positive role that an equitable learningenvironment (ELE) can play in secondary classrooms to ensure that all students, particularly
prepared to perform systemintegration tasks. For example, recent studies by Deloitte and The Manufacturing Institute notethat the U.S. faces a need for nearly 2.4 million manufacturing positions to be filled by 2028 [1].In addition, in May 2019, Deloitte surveyed 523 executives in a range of industries in 26countries across the globe on their intelligent automation strategies and the impact on theirworkforces. Results suggest that over the next three years, executives expect automation toincrease their workforce capacity by 27%, which is equivalent to 2.4 million additional full-timeemployees [2]. Needed are methods for helping students to develop system integration skillsreliably and efficiently.What is system integration?System integration
,webinars and professional development training were also provided during the three weeks. Thetopics of the four research projects are 1) Airworthiness and System Safety, 2) DistributedPropulsion/Engine Vehicle Concepts, 3) Computer Simulation of Aerospace Systems withAnimation, and 4) Re-design of UAV Airplane to Fly on Mars. The paper discusses the detaileddesign of the 3-week virtual research program. It also describes the design of the four researchprojects. A post-survey was conducted to collect students’ feedback on the program and theresearch projects. The results of the survey and the impact of the program and the researchprojects on students’ interests and knowledge in aerospace engineering are discussed. Thechallenges and experiences are
: Containing Design: Rethinking Design Instruction to Support Engineering Device Development for Low-Income CountriesAbstractWork-in-Progress: One of the primary benefits of a makerspace is the concentration of tools,materials, and expertise in one place [1]. Without makerspaces, design education in many low- tomiddle-income countries (LMIC) stops with a “paper” design and does not move onto a physicalprototype. More than 75% of registered makerspaces are in North America and Europe [2], andless than 4% of registered makerspaces are in Africa [3].As part of a joint project between Duke University (NC, USA) and Makerere University(Kampala, Uganda), “twin” makerspaces were built at the respective universities. At Makerere,this makerspace was a first
the drone body and aprocedure for embedding the electric wiring was developed. This integration required severaldesign modifications, which were implemented and prototyped. We believe that this modulardrone development project design and mentorship guided by the principles of experientiallearning and empowered by AM has increased the efficacy of students and helped them developseveral skills that are valuable to the future engineering work force including team skills,leadership, time-management, life-long and interdisciplinary learning, and entrepreneurshipmindset. Through a survey and focus group approach, the findings of an independent evaluatorconfirm those benefits to the students participating in the project.1. IntroductionAdditive
increasingly more minority students are enrolling in college, the number of collegegraduates with STEM degrees is still not favorable to minority students such as Latinx [1]. Inparticular, Latinas enrolled in STEM programs continue to experience hostile environments inmen-dominated spaces such as Engineering, even in Hispanic-Serving Institutions (HSIs) [2, 3].HSIs are all degree-granting higher education institutions with 25% or more full-time Latinxundergraduate students [4]. Institutional strategies, financial assistance, faculty representation,mentorship opportunities, and culturally responsive research opportunities are all critical inretaining and graduating students, especially minority and underrepresented students [5]. We aimat increasing
DesignAbstractOne approach to look at student learning is to identify “threshold concepts.” These are conceptsthat, once grasped, allow students to engage with the material in a fundamentally different way.First described by Meyer and Land [1], these concepts are transformative, irreversible,integrative, and troublesome. The process of mastering a threshold concept (TC) meanstraversing a liminal space during which the student is changed. Looking inward at our owncapstone program, we identified three candidate TCs: (1) Complex engineering problems arebest solved by teams working together. (2) A team can learn a lot from a prototype, even(especially?) when it doesn’t work. (3) The goal isn’t to find the right answer, but to learn aprocess by which a
Programs led by Dr. Barr is the Director of Assessment and Evaluation of STEM Programs at Rice University. He has been an evaluator and psychometric expert on several federally funded projects in ©American Society for Engineering Education, 2023 Design and Testing of a Quantitative Instrument to Evaluate Engineering Research Center ParticipationIntroductionThe National Science Foundation’s (NSF) Engineering Research Center (ERC) program aims toimpact society by developing research and innovation in universities across the country [1].Awards granted by this program are the highest-funded, single award from the NSF; a total of 75Research Centers have been funded since the program’s
EducationResearch through Collaborative Secondary Data Analysis” [1].The Mini-ProjectsSecondary Data Analysis as a Mechanism for New Insights and Future Researcher PreparationThe first project aims to explore the potential of SDA for training of newer researchers to thefield. The data originator is an experienced researcher with a large dataset resulting from acompleted NSF funded project. While the original project had delivered on its goals, there wasscope for further analysis of the interviews that had been conducted with undergraduateengineering students. Our project involves a researcher from another undergraduate-focusedinstitution, who wanted her undergraduate researchers to get experience doing qualitativeresearch on an already existing dataset
projectIntroduction and Literature ReviewThe Engineering Grand Challenges [1] represent the fourteen most important engineeringproblems to be addressed in the 21st century. These multidisciplinary challenges include makingsolar energy economical, restoring and improving urban infrastructure, providing access to cleanwater, and developing carbon sequestration methods. To address these design challenges,engineers in multidisciplinary teams must be able to communicate and justify their designseffectively for their work to be valued and implemented by stakeholders. Therefore, it is essentialthat graduating engineering students can work in interdisciplinary teams and communicateeffectively. However, as Berdanier [2] noted, communication skills are an undervalued
completion within six years in comparison with other races, Black students have thelowest completion rate (41 percent) and are more likely to discontinue enrollment or stop outthan to complete a college credential [1]. Over time, these trends have largely remained the samewhen comparing Black and Latinx collegiate students with other majority races and it has causedsome to ask the question: What are colleges and institutions doing to address this? One of theanswers researchers have given is putting an institutional emphasis on inclusive teaching. Research has illustrated that student academic and social success can be improvedthrough instructors creating inclusive classroom environments that facilitate a sense of belonging[2], [3]. Though
Level Statistical CourseAbstractConveying mathematical graduate-level courses online can be challenging. A graduate-levelcourse in applied statistical process control and experimental design has been offered since 2015.This course includes three main themes: (1) probability theory with discrete and continuousprobability distributions, (2) statistical tools for estimation, hypothesis testing, and control charts,and (3) 2k full and fractional experimental designs and analysis. After three years of offering thein-person class, the program moved to an online modality to reach more professional students. Allmaterials, modules, assignments, exams, and instructors remained the same between in-person andonline modalities. The study compares the
issues of equity, inclusion, and social justice. ©American Society for Engineering Education, 2023Defining Accountability Among Black and white Women AccomplicesMonica F. Cox, The Ohio State UniversityKristen R. Moore, University at BuffaloIntroductionOver the past years, we authors have been having conversations about what it means to be an accomplice,particularly what accompliceship means between Black and white women. In 2021, we theorized (usingBlack Feminist Epistemology) that accomplice behavior can be understood in terms of power anddialogue; accompliceships are characterized by sharing power and engaging in dialogue with oneanother[1]. This paper extends power and dialogue into the realm of accountability
from our professional development, summarizing learning objectives, presentationcontent, and activities. Additionally, we present comments shared by instructors related to ourprofessional development, including common barriers to implementing educational innovationsin their courses. Our work will provide insights to practitioners interested in promoting inclusiveclassroom practices in engineering education and researchers who are translating research topractice, especially through professional development.Keywords: Faculty professional development; inclusive pedagogy; asset based practicesIntroductionDespite many years of effort to increase participation, engineering suffers from unequalparticipation based on race and gender [1], [2] and
M3 model includes co-teaching and co-learning from facultyand students across different academic units/colleges, as well as learning experiences that spanmultiple semesters to foster student learning and innovative ideas. This collaborative initiative isdesigned to reach the broader campus community, regardless of students' backgrounds or majors.Therefore, the study presented in this paper explores how student participation in thistransdisciplinary learning model and their perceptions of their innovation skills may varyregarding major and gender. This exploration can be important as 1) the model may or may notbe meeting the needs of participants across areas of study and 2) perceptions of abilities mayinfluence a sense of belongingness for
and easily transferable to otherdomains. The research questions for this paper are: (1) what are the high-level technical andprofessional knowledge, skills, and abilities that students in a microelectronics workforcedevelopment program need to be certified? (2) What are the overall framework components forcertification, and what is the supporting literature? (3) What is a current example of theframework applied to professional skills for undergraduate students, and what are the next stepsfor technical skills? This paper includes detailed examples of the framework and supportingliterature for professional skills (i.e., teamwork, lifelong learning), and how technical skills (i.e.,circuits, quantum mechanics, quantum computing) are
computational thinking. Analysis of pilot data gatheredfrom five sections of a life science course in a northeastern U.S. urban high school during the2022-2023 academic academic year will inform the next iteration of the module.Background and MotivationThe thought processes associated with formulating problems and solutions such that they can beefficiently and effectively carried out by both machine (i.e., computer) and human is known ascomputational thinking (CT) [1]. While the construct of computational thinking originated incomputer science, CT practices like abstraction, pattern recognition, and modeling arerecognized to be incorporated in all science, technology, engineering, and math (STEM)disciplines [2], [3] and have revolutionized how
engineering courses. Research suggests amismatch between the skill demands of industry and the offerings of educational institutionsresulting in a skill gap [1-6]. As a major contributor to the United States economy and thesecond-largest labor sector with 8% of the total workforce Field [7]), the construction industry istaking a massive hit from this skill deficiency. Many scholarly publications and reports regardingemployability in the construction industry have reported employers’ concerns and dissatisfactionwith the low level of skills of their newly hired construction graduates [8-13]. As expressed bymany employers, one of the downstream implications of these skill gaps is project failure due todecreased work performance, productivity, and
focused on thedevelopment of skill that future architecture and engineering professionals need to design resilientand sustainable infrastructure [1] This paper describes the semester-long project that was assignedin the “Design-Build” course, which is the last course of the curricular sequence. Through this course,students were asked to develop an interdisciplinary design project. The course follows the academicmodel of integrated project delivery [2], where teams of students were asked to design a projectbased on the development of an emergency housing complex. The project consisted of designing aset of four emergency dwellings. The project derived the purpose of being a mini capstone [3] whereinterdisciplinary groups of students were able to
themselves.Introduction"At this moment of our historical trajectory, it is a moral imperative to embrace decolonizingapproaches when working with populations oppressed by colonial legacies." [1, p. 1].As of 2021, the United States (US) Census Bureau [2] estimates that roughly 62.6 millionpeople, or 19% of the nation's population identify as having Latin American ancestry. These areindividuals with origins within Latin America, from Mexico down to Chile, as well as the islandslinked to Latin America who within the context and history of the US have used various labels toidentify themselves. Starting in 2014, the term Latinx started to appear in contrast to otherself-identifying labels like Hispanic and Latina/o. Labels that in themselves create a
Teachers’ Technological- Content Knowledge and Lesson Plan Development OutcomesThis study was conducted at a Research Experiences for Teachers (RET) Site in a university onthe northern Gulf Coast. The National Science Foundation (NSF) Division of Computer andNetwork Systems funded the RET site to offer a research-intensive program in artificialintelligence (AI) computing systems. Since the summer of 2021, Science, Technology,Engineering, Mathematics (STEM) middle- and high-school teachers have participated in anannual six-week summer program [1]. They participated in technology and instructionalworkshops, work sessions, and authentic artificial intelligence (AI) research activities with theuniversity faculty, graduate, and undergraduate
, including children in early childhood education, must be consistentlyexposed to data science concepts to meet future industry requirements [1, 2]. Students wholearn data science at a young age are better equipped to implement the concepts at later stageswhere they will have more chances to practice and develop their skills [3]. However, currentdata science research for early childhood is very limited, and although previous data scienceframeworks for K–12 education have claimed that the content is suitable for kindergarteners,application has proven that, in reality, the content is more appropriate for students in grade 4and beyond [4]. Therefore, this paper proposes a data science framework suitable for the developmentalstages of young
existing curriculum constraints. In particular, teachers found that the NextGeneration Science Standards [1] practice of “computational thinking” was the best lens fordeveloping their aligned big data instruction. After exploring a taxonomy of computationalthinking in mathematics and science [2], the teachers collectively eventually settled on a core setof four computational thinking skills [3] most likely to be productive for their teaching focus;algorithmic thinking, decomposition, abstraction, and pattern recognition. This paper reports onthe variety of connections teachers developed with the practice of computational thinking, fromdata clustering as an active practice for simulating early generation of the periodic table in achemistry class
aspects of our institution and student body. We willalso report preliminary analyses of student journal data collected from the first cohort throughoutthe Fall semester, where students described their initial expectations/hopes and concerns for thesemester; their activities and emotional responses during the semester; and finally, theirreflections on their experiences, positive or negative, throughout the semester. The paper willconclude by offering lessons learned from the first year of this project as well as directions formoving forward.Literature ReviewThe Vertically-Integrated Projects (VIP) model [1-4] engages students in multi-scale, long-termresearch project teams led by faculty and their graduate students. The VIP teams