develop a community withpeers in the same field.Two faculty members, who are active STEM education researchers, have instituted a newseminar series specifically for these students that is designed to realign the course withengineering education topics, continuously improve the Ph.D. curriculum, and assist students ontheir Ph.D. paths. The group of faculty and students began meeting every other week to discusstopics specifically related to STEM education and the needs of graduate school in lieu ofattending the general engineering seminars. This new seminar series covers multiple topicsapplicable to students in STEM education, including developing a plan of study, writing andpresenting a proposal for a dissertation, and on-campus graduate
justice are connected: • General engineering and social justice o Free Radicals “Science Under the Scope” [21] o Donna Riley’s Engineering and Social Justice book [22] o Caroline Baillie’s “Engineering and Social Justice” chapter [23] o ASEE workshop on the “Foundations of Social Justice for Engineers” [24] • Specific case studies in fields o Case study bioengineering ethics “SUMO-1” [25] o Coded Bias documentary [26] o Nicholas Sakellariou’s “A Framework for Social Justice in Renewable Energy Engineering” chapter [27]This area is emerging. There are several scholars documenting their attempts at adding socialjustice to the engineering courses [28]–[31], though
-lynn Mondisa, University of Michigan Joi Mondisa, PhD, is an Assistant Professor in the Industrial & Operations Engineering Department and an Engineering Education Faculty Member at the University of Michigan. She earned her Ph.D. in En- gineering Education and an M.S. degree in Industrial Engineering from Purdue University; an M.B.A. degree from Governors State University; and a B.S. degree in General Engineering from the University of Illinois at Urbana-Champaign. Prior to her graduate studies, she worked as a professional in the areas of manufacturing, operations, technical sales, and publishing for ten years. She also served as an adjunct faculty in the Engineering Technology Program at Triton College in
behaviors in student designers. She previously worked as an environmental engineer specializing in air quality influencing her focus in engineering de- sign with environmental concerns. She earned her B.S. in General Engineering (Systems Engineering & Design) and M.S. in Systems and Entrepreneurial Engineering from the University of Illinois in Urbana- Champaign.Ms. Joanne Lax, Purdue University, West Lafayette (College of Engineering) Joanne Lax is the graduate technical communications specialist in the College of Engineering at Purdue University, where she develops and runs workshops on communications topics. She serves on the board of the ASEE Illinois-Indiana Section. c American
—teachers, students, curriculum developers, and AIexperts—we need to adhere to a structured approach to AI literacy, which leads us to theAI4K12 initiative, which sought to reveal AI's complexities for educational purposes through its"5 Big Ideas in AI."2.3 AI4K12's Five Big IdeasThe "5 Big Ideas in AI" framework, proposed by the AI4K12 initiative, serves as a foundationalguide to distill the core concepts of AI into teachable and understandable segments. Thisframework facilitates a more accessible understanding of AI for students and educators,addressing the critical need for comprehensive AI literacy beyond mere technical knowledge [2].The AI4K12 framework encompass the following AI concepts: 1. Perception: How AI systems interpret the
challenges, this study amplifies the clarioncall for fostering participation and inclusivity in engineering doctoral programs.IntroductionPromoting diversity within the engineering workforce is a critical national priority, underscoringthe need for broader participation and the cultivation of inclusivity [1]. The infusion of diversityinto the field of civil engineering in the United States yields numerous advantages, including amultifaceted project perspective, heightened project value, the enrichment of knowledge, talent,and ideas, access to expansive networks, and the production of superior final products necessaryfor global competitiveness in infrastructure [2]. Consequently, achieving this imperative requiresa comprehensive examination of the
confident to be a leader and lack critical thinkingabout what they are doing [2].1.2 Proposed Solution (and Research Question)In response to the problem mentioned above (e.g., limited experiential learning opportunities forengineering students), this study overcomes the gaps by introducing an interdisciplinaryapproach to experiential learning that integrates the entrepreneurial mindset, bio-inspired design,and STEAM (with a particular focus on the arts) [1].This new project approach is adding experiential learning to “mid-level” technical courses toshow how theory applies to practice and is implemented in real-world applications. Aninterdisciplinary research project integrating EM, STEAM, and Bio is a creative technique toprovide real-world
. ©American Society for Engineering Education, 2023 Opportunity gaps for women in chemical engineering: a quantitative critical investigationINTRODUCTIONData collected by the National Science Foundation generally show that chemical engineering ismore diverse with respect to gender than other engineering fields [1]. A more recent study showsthat roughly 39% of matriculating chemical engineering students are women – the highest of anyengineering discipline [2]. Yet, the discipline still falls short of gender parity, even at theundergraduate level, while other disciplines, such as biology, now see classes that may bemajority women [3]. As one looks to higher levels of education in chemical engineering, genderdiversity
formalcooperative learning groups are set up as a structured team with members depending on teammembers for success on the assigned project. The Johnson and Johnson model on socialinterdependence theory [5] incorporates 5 essential elements of co-operative learning: positiveinterdependence, individual accountability, promotive interaction, appropriate use of socialskills, and team evaluation. It is generally found that more well-defined cooperative learninggroups with strong positive interdependence work the best for student engagement and learning[9]. Collaborative learning refers to an active learning environment in which studentscollaborate in small groups towards a common goal [1], but groups are generally less structuredthan in co-operative learning
perspective of the student, especially high school students, the problem is that thestudent needs to make a fairly significant life decision, “one that potentially frames aspects oftheir future” [1], and often must do so based mainly on their prior experience and knowledge,and often without experience of university-level studies to help them to make the decision. Theproblem of choice between engineering and the physical sciences is compounded by the entrancerequirements from high school being similar for both fields since engineering and the physicalsciences are similarly grounded in the mathematical, computational, and natural sciences. Within the broad literature that discusses many aspects of university education in STEMfields (science
operation of computers 2. Apply generalized sequential thinking and fundamental programming concepts to solve problems 3. Utilize C/C++ specific syntax to implement solutions 4. Ideate, plan, and create an Internet-of-Things (IoT) projectNOTE: References to these learning outcomes will be identified throughout the text using theformat (EE 1301 LO #1).The course begins by teaching basic programming skills (toolchains, programmatic thinking, andsyntax) covered in weeks 1-5. The following two weeks of the class focus on teaching studentshardware prototyping skills (wiring, breadboards, microcontrollers, sensors, actuators, and cloudconnectivity.) At the end of this short introduction to the hardware, the course introduces
required, sociotechnical systems are hard toestablish and manage. Once established they can be very difficult to change.Analysis using the categories of technical, organizational, and cultural (TOC) can provideinsights about interactions and relationships that are relevant to ethics but often go unrecognized.Two commonly discussed ethics cases, the explosion of the space shuttle Challenger and thefailure of the flood control system in New Orleans during Hurricane Katrina, illustrate the kindsof insights that TOC analysis can generate. Those cases are discussed below in a simplifiedform. In both cases, the analysis reveals failure as an emergent property of the system rather thanthe result of the actions of individuals who can be “blamed” for the
= Much harder How would you characterize your interest in learning how to 4 4 program a computer in general? Indicate your level of interest using a number between 1 and 5, where 1 = Not interested, 3 = Neutral, 5 = Very interested Did you have any programming experience prior to taking ME 30 No No (the first time)? Yes or No How would you characterize the use of a microcontroller in 5 5 helping you learn how to program in Python (or C)? Indicate your thinking using a number between 1 and 5, where 1 = Did not help, 3 = Neutral, 5 = Very helpful To what degree did removal of the content of Excel and Matlab 3 5 from ME 30 affect your success in passing
science education nonprofits.Emily L. Atieh, Stevens Institute of Technology ©American Society for Engineering Education, 2024 Graduate student perceptions of community building as a precursor to active learningAbstract:Active learning is widely understood to improve student outcomes, yet many active learningimplementation efforts are focused only on undergraduate courses [1], [2], [3]. Factors that mayinhibit active learning implementation in graduate courses include the belief that “rigor” andlecturing should go hand-in-hand in higher level courses, or a lack of community building morecommonly seen in undergraduate programs. Here, we present an exploratory study that uses
of technical expertise to assist in the development of any newactivities. The Ideas Clinic had already been engaged with industry partners, and it seemedfeasible that a set of companies from specific sectors could be approached to participate in thedevelopment of new activities.1.2 Industry-Academia PartnershipsPartnerships between industry and academia are not new, especially in the research realm, andcan have broad benefits for both parties. From the industry perspective, Hughes [1] provides onesummary of what companies are looking for from such partnerships: “companies want exposureto students as possible hires, access to new ideas, and educational opportunities for theirworkforce… Companies want relevant curriculum which produces
. She holds graduate degrees in engineering and business administration from the University of Michigan, and began teDr. Katie Snyder, University of Michigan Dr. Snyder is a lecturer for the Program in Technical Communication at the University of Michigan. She teaches design, ethics, and technical communication as social justice to students in the College of Engineering.Sara Elizabeth Eskandari ©American Society for Engineering Education, 2024Connecting Campus and Community: applying virtual reality technologies to facilitate energy justice and emerging technology literacy Aditi Verma, Sara Eskandari, Kellie Grasman, Katie SnyderIntroductionThe history of energy technology
-5324. http://dx.doi.org/10.1021/es034605h4. Beder, S. (1999). Beyond technicalities: expanding engineering thinking. J. Prof Issues Eng. Educ., 125(1), 12-18.5. Herkert, J. R. (2005). Ways of thinking about and teaching ethical problem solving: microethics and macroethics in engineering. Science and Engineering Ethics, 373-385. http://dx.doi.org/10.1007/s11948-005-0006-36. Eusgeld, I., Freiling, F.C., and Reussner, R. (1998).Dependability Metrics (Advanced Lectures). New York. Springer.7. Klubeck, Martin. (2011).Metrics: How to Improve Key Business Results. New York. Apress.8. Simpson, T.W., Poplinski, P.N., Koch, P. N. and Allen, J. K. (2001. Metamodels for Computer-based Engineering Design Survey and Recommendations
core areas: (1) Engineering Leadership, (2)Engineering Innovation, and (3) Interdisciplinary Research. The initiative aims to developengineers who are not only technically-competent, but also have strong leadership skills, ethicaland principled, and a creative problem-solver who can contribute to the global community. DeanCammy Abernathy highlights that “The New Engineer is not only technically competent but onewho is capable of leading and innovating in a world that is increasingly global”. Therefore, it isan imperative that Gator Engineers are equipped with the necessary tools to engage on a globalscale.In 2014, HWCOE established the International Engineering Programs to foster an engineeringstudent population that is globally aware and has
of active learning. Content analyses of survey responses suggest that active learningin a remote setup is well perceived and helps the class attendance rate, despite some logisticchallenges with the hardware lab component.1. IntroductionThe COVID-19 pandemic has impacted education in different aspects. Several studies reported thechallenges with online teaching before and during the pandemic [1]–[5]. With the transition toremote instruction to mitigate the spread of COVID-19, many instructors and students expressedthat their experience has degraded compared to the regular face-to-face class meetings. Thestudents' attention spans in remote classrooms were lower than ever before. In addition, manystudents expressed that they feel that they no
2.27±0.58 -0.22222 0.42 Epistemic Curiosity (DEC)b a 1-7 Likert Scale (Note: 1 =not at all true of me, 7 = very true of me) b 1-4 Likert Scale (Note: 1 =never., 2= sometimes, 3 =often, 4 = always)When comparing the class observation of student and instructor behaviors across the three semesters whenECP was implemented, the classes reveal good engagement with ECP. In Fall 2021 as shown in figures 7 and8, students participated in groups during the experiment despite the technical issues in the process.Fall 2021Figure 7 Class Observation (Students)Figure 8 Class Observation (Instructor)However, in Spring 2022, as shown in figure 9, there was great improvement in the student and instructor’sbehavior. A
naturally presented in academic texts as a workflow of steps tobe taken in developing a simulator computer program [1].MotivationThe first author’s classroom experiences in teaching Reservoir Modelling and Simulation (PET524) as a final-year undergraduate course module at Covenant University provides a strongmotivation to undertake this project. Over the past eight academic sessions, instructors have taughtand assessed over 400 final-year undergraduate students. Historically, the delivery of the coursemodule has focused primarily on the science of reservoir simulation. However, we have had a fewinstances of observing the performances of some students on the art of using commercial reservoirsimulator software to execute their research projects. In
the phases, many students used apictorial representation to express their ideas. Additionally, many students went the extra mile todescribe the technical features that they understood. A summary of the indicator words thathelped us assess the inquiry stage of the student may be found in Table 2. From Fig. 3, we alsosee that as the semester progressed many students transitioned from intermediate inquiry stagesto higher cycles of learning and thinking.Table 2: Keywords or indicators highlighting the student’s verbalization in describing systems as they grew through the different inquiry stages Inquiry Stage Initial Indicators: Systems Level Final Indicators: Systems Level Identification General
can be better leveraged, as they attempt to create moreequitable engineering environments for women undergraduate students.Introduction Women are underrepresented in engineering, earning less than 20% of all bachelor’sdegree in this discipline, and have been for many decades, even though women earn 58% of allbachelor’s degrees broadly [1]. Although higher education has concerned itself with the dearth ofwomen in engineering disciplines, it has focused much of its attention on understanding theexperience of this population as opposed to generating practical solutions to address theirattrition out of these majors. We now have a robust understanding of the barriers women oftenface in engineering contexts, including gender bias that
, and events may remain largely obscure to most college students, includingthose in engineering fields, in part given how limited and uneven professional information is toundergraduates.4 Internships and co-ops are a key medium of information about and exposure toprofessional engineering environments, and have multiple functions in undergraduateengineering education. However, they may not reveal the procedural workings of anorganization, and why these workings, alongside organizational culture and structure, areimportant to understand (see [1]). In addition, not everyone participates in engineeringinternships and co-ops at equal rates, with lower-income, first-generation students and Black,Latinx, Native, and Pacific Islander students less
6 22 Electrical Engineering 3 11 Computer Engineering 1 4 Hydraulic Engineering 1 4 Manufacturing Engineering 1 4 Electronics Engineering 1 4 First-Generation Student Yes 9 33 No 18 67 Non-Traditional Student Yes 13 48 Demographic
. 1 1. Introduction We live and work in a global environment that presents many new and universalchallenges for engineers and, as engineering educators, it is not sufficient to prepare students toonly understand the fundamentals of technical skills. We must also prepare them to workeffectively in global environments and across different cultures (Warnock et al., 2008, Stablein etal., 2022). With increasing awareness of the importance of undergraduate students to have globalexperiences and, in part, as a result of the global pandemic, the opportunity for CollaborativeOnline International Learning (COIL), though it has been around for 15 years, has recentlygained traction. COIL provides a pedagogical method to deepen the global
and working towards community and classroom goals. 4. Evaluates communication, logistics, and any processes which may help the partnership function more effectively. 5. Fosters brainstorming and discussions for new developments to improve the STEAM x S- L framework.Throughout the semester, feedback occurs primarily via emails between the S-L TA andcommunity partner. After each activity, the S-L TA requests feedback regarding 1. General STEAM Club reception, enjoyment, and comprehension 2. University student behavior and preparation 3. Timing and material concerns 4. Any other questions, difficulties, successes, or recommendations for future lessonsThe S-L TA also solicits feedback from the university students in the form
toimprove, and finally made presentations of good teams.1. Preparation for Fall 2014Fall 2014 was the first trial run with the teamwork skit, causing much more thought and planningto go into this process. Multiple meetings were held across several weeks and included four veryimportant steps that were critical to the success of the skit: building, brainstorming, planning,and testing. Throughout this entire process, the faculty member was involved, critiquing andchanging aspects of each step to make this skit a success. Each step of the process is described ingreater detail below.Step 1: BuildingIn order for a team to be successful, there must first be a group of people ready to work toward acommon goal; this skit was no different. The first step of
(%) Treatment B 40 30 20 10 0 0 1 2 3 4 >4 Lab Periods Student was Leader Figure 1: Laboratory Session LeadershipOver 50 % of Treatment B students never led a lab. Surprisingly, almost 25 % of Treatment Astudents also never led, indicating that this requirement should be emphasized more in the future.This was reflected in one of the focus groups for Treatment A in which students noted “We werenot as successful at sticking to just our roles
focused on developing aconceptual understanding of electromagnetism “with connected concepts and practical approachand applications that student can relate to”. The second approach represents a moreelectromagnetic literacy approach. By analysing and contrasting these perspectives we try to findappropriate mergers of learning techniques that would be valuable for all students seeking todevelop a strong fundamental understanding of electromagnetism.IntroductionElectromagnetism (EM) courses are historically considered to be one of the most challengingcourses in the electrical engineering curriculum [1-14]. Some students feel the course ischallenging due to a large disconnect between abstract concepts and real-life/engineeringexperiences [2-4