improve students’ sense of belonging, particularly for Hispanic/LatinX/ XicanXstudents, inclusive of their intersectionalities (e.g., gender, nationality, first-generation college)[16]–[19]. As such, the purpose of this project is to enhance “servingness” [30] for historicallyminoritized/marginalized students, inclusive of their intersectionalities, in engineering educationat Hispanic Serving Institutions (HSI) by developing a sustainable model for an academic,institutional, and social support system (i.e., formal peer-mentoring program) for first-yearengineering students. More specifically, PromESA seeks to: Objective 1: Increase students’ sense of belonging by (1.a) Incorporating holistic, socio- culturally responsive practices into
]. Divergent thinking opens a potential for more creative outcomes [11]because considering more diverse options increases the chance that the final selected option is amore creative one. Divergent thinking is a key characteristic in creativity [12]. It has beenshown important in solving complex problems creatively and generating more innovativeoutcomes [1], [2]. Divergent thinking is often considered during idea generation throughgenerating many potential solutions to a problem [13], [14]. In response to engineers’ struggleswith design fixation during idea generation [7], [15], [16], many ideation tools have been createdto support generation of diverse ideas, such as Brainstorming [17], Design Heuristics [18], andTRIZ [19]. However, divergent thinking
., Sauter, R., Bahaj, A. S., James, P. A. B., Myers, L. E., & Wing, R. (2006). Unlocking the Power House:Policy and system change for domestic micro-generation in the UK.Diakaki, C., Grigoroudis, E., & Kolokotsa, D. (2008). Towards a multi-objective optimization approach forimproving energy efficiency in buildings. Energy and Buildings, 40(9), 1747-1754.Mitchell, R. M. The Global Energy Challenge, a 21st Century Students Guide to Ethical Energy Usage.Bull, S. R. (2001). Renewable energy today and tomorrow. Proceedings of the IEEE, 89(8), 1216-1226.Martinot, E., Chaurey, A., Lew, D., Moreira, J. R., & Wamukonya, N. (2002). Renewable energy markets indeveloping countries*. Annual Review of Energy and the Environment, 27(1), 309-348
engineering and its related technical skills. Students responded to 8 items, again using a 5-point Likert-type scale ranging from strongly agree to strongly disagree; lower DoingEngineering scores indicate stronger and more frequent prior experiences with engineering. Inaddition to these measures, students completed a demographics survey in which they providedtheir age, gender, race/ethnicity, first generation status, and future plans for college. At the end ofthe academic year, all registered EPICS participants were sent the post-survey via an anonymousQualtrics link. The post-survey mirrored the pre-survey, but with the inclusion of open-endedquestions and the removal of the registration section. TABLE 1
to support mentors. Each meetingconsisted of mentor training, an opportunity to reflect on their mentoring relationships, and anopportunity to strategize with fellow mentors about effective strategies and discuss challenges.These monthly sessions consisted of 2-hour meetings where mentors are engaged in interactiveactivities, allowing them to personalize their approach to mentoring.Motivations for Peer Mentoring The motivation for incorporating peer mentoring in PINC courses is three-fold. Below wedescribe these reasons along with the unique challenges that we tackle in the PINC program. 1. Approachable technical support: The first motivation for implementing peer mentoring is to leverage the shorter intellectual and psychosocial
addressed: 1. Why do veterans pursue a Bachelor’s degree in engineering? 2. How do military experiences shape student veterans’ educational experiences? 3. What are the experiences of student veterans in engineering education? 4. How do institutions support veterans in engineering education?Major activitiesTo date, in addition to this paper for the ASEE 2017 NSF Grantees Poster Session, this projecthas yielded seven conference papers6, 7, 8, 9, 10, 11, 12, one conference special session13, and twoconference presentations.14,15Focus Groups at 4 campuses: To recruit student veterans in engineering for the focus groups,we sent invitation e-mails with a link to an online qualification survey. This survey providedbackground
guidance to returners or potential returners with a military background. In thispaper, the experiences of returners in master’s programs with military work experience arestudied.BackgroundAs there is no existing literature specifically on military returners, the background for this paperis drawn from two distinct areas: the nascent literature on engineering returners in general, andliterature on veterans as students, particularly within engineering.ReturnersWhile the first work on returners was primarily anecdotal [1], there is a growing body of morerecent work that systematically examined this population of graduate students. One such study,conducted by Strutz et al. in 2011 [2], focused on engineering returners within engineeringeducation; this
Computer Engineering master student at Washington State University. His research is in engineering education and software engineering techniques. His recent research focuses on the effect of high impact practices on engineering and computer science undergraduate student outcomes around academic success and persistence.Mr. Muhammad Asghar P.E., Utah State University Muhammad Asghar is a graduate research assistant and a PHD student at Engineering Education De- partment, Utah State University. He has a master’s degree in educational psychology and a bachelor’s in computer information systems engineering. His research interests consist of using different technical and non-technical methods to enhance learning processes of
quantitative description of students’ community and belonging at IRE.1.1 Iron Range EngineeringIRE students complete lower-division coursework at community colleges around the nation [1]. Thenstudents join IRE for one semester on campus for preparation focused on developing students’professional, design, and technical skills. After this first semester, students earn their degree whileworking in a co-op and earning an engineering salary (average $21.5k per semester). Students remain fulltime students through the co-op based learning format by taking 1-credit hour technical competencies anddesign, seminar, and professionalism coursework, and earn course credit for coursework related to theirvaluable co-op experience by applying and further developing
, then a quantitative description of students’ community and sense of belonging at IRE.1.1 Iron Range EngineeringIRE students complete lower-division coursework at community colleges around the nation [1]. Studentsthen join IRE for one semester, named Bell Academy, on campus; this semester is focused on developingstudents’ professional, design, and technical skills. After this first semester, students earn their degreewhile working in a co-op and earning an engineering salary (average $21.5k per semester). Studentsremain full-time students through the co-op based learning format by taking 1-credit hour technicalcompetencies and design, seminar, and professionalism coursework. They also earn course credit forcoursework related to their valuable
practices and innovative approaches discussed will evidence the work inprogress towards an improved, integrated learning experience for engineering technology students.Finally, current results will support prior findings and provide new evidence for engineering educationpractices in community colleges.Stackable Certificates and DegreesIn the Fall of 2022, Mt. SAC began offering 12 new certificates of achievement and 6 new associate ofscience degrees in the discipline of Engineering Technology. These certificates include Technical Sales,Engineering Fundamentals, Engineering with Emphasis in Chemical and Materials EngineeringApplications Level 1, Engineering with Emphasis in Chemical and Materials Engineering ApplicationsLevel 2, Engineering with
, there are thirty scholarship recipientsmajoring in Biology, Physics, Chemistry, Mathematics, Construction, Computer Science, CivilEngineering, Mechanical Engineering, and Electrical Engineering. As the students are recruitedfrom all STEM discipline, the project activities are not associated with any of the coursecurricula. However, being part of the prototype project activities has its own positivecontribution on the students’ social and technical skills in providing the students with theopportunities to adopt Blooms Taxonomy [1] in applying innovative thinking and brainstormingsessions to evaluate the idea analyze alternative approaches and designs. The project also createda collaborative working environment, where the teams meet periodically
groups in need in ourcommunity, have had a positive technical return on the participating students as they tackledopen-ended problems which naturally characterize real human issues. As the NSF projectundergoes more years of execution, it is predicted that it will have an even bigger impact on thelocal community in which the University resides/serves. The bigger impact will come naturallyas more community partners get involved in the community projects. Also, once thecommunication data is available, it is expected to see an uptick in the students’ overallcommunication skills as a result of participating in this NSF project.References:[1] Koh, R. (2020, June), Engagement In Practice: Community Engaged Capstone DesignExperience Paper presented at
. Professional Development of ParticipantsFor the professional development of the participants, several activities were planned. This REUprogram seeks to train undergraduates who are not only skilled in their technical areas, but alsowho can effectively present their research to both technical and non-technical audiences. Severalworkshops were conducted during the 10- week period that included Ethics in Engineering andScience, Graduate School Application Process and Financial Support, Resume Building,Improving Oral and Written Presentation Skills, and Industry Careers.We sought to enhance t h e students’ communication skills by engaging them in outreachactivities to the general public and K-12 students. The REU students were asked to make apresentation
the organization experi- enced membership growth and strong metric focus towards goal attainment. American c Society for Engineering Education, 2020 Using Design to Understand Diversity and Inclusion within the Context of the Professional Formation of EngineersIntroductionThree broad and enduring issues have been identified in the professional formation of engineers:1) the gap between what students learn in universities and what they practice upon graduation; 2)the limiting perception that engineering is solely technical, math, and theory-oriented; and 3) thelack of diversity (e.g., representation of a wide range of people, thought, and approaches
? concepts? learning new ways to get computers to do what you want? Identity Please select In general, being an In general, being a computer the best engineer is an important science student is an important answer on a part of my self-image. part of my self-image. scale from 1 Being an engineer is an Being a computer science to 7 (anchors important reflection of who student is an important in
) has undergone rapid changes in the last decade as new toolsand technologies have come to prominence and as computing has expanded its reach into newareas, such as autonomous vehicles. Further, the effort to encourage CS for all students hasresulted in an increased diversity in the population of high school students who study CS; it hasalso led these students to have more pre-high school CS experience than was previously the case.This trend is likely to continue: in recent years, eight states have adopted CS graduationrequirements, and it is a pending policy priority in many others [1]. More changes are anticipatedas generative AI changes how people – including software developers – interact with computersand as other technologies are
summers (2022, 2023) of dataenabled researchers to examine the impacts of the C-EEEM on smaller subgroups by aggregatingthe two cohorts, thereby increasing statistical power.In the first year of the C-EEEM replication (2022), researchers began with data collectionprotocols and instruments developed in the original pilot at the University of Notre Dame, whichwere then modified slightly [1, 4, 5, 18-21]. Instruments included weekly check-in surveys forteam feedback, prompts to encourage reflection on the experiences, and the main post-internshipsurvey instrument. The original instruments reflected researchers’ consistent interest of theimpact of the C-EEEM on STEM-learning experiences for students generally andunderrepresented groups in particular
replication (2022), researchers began with data collectionprotocols and instruments developed in the original pilot at the University of Notre Dame, whichwere then modified slightly [1, 4, 5, 18-21]. Instruments included weekly check-in surveys forteam feedback, prompts to encourage reflection on the experiences, and the main post-internshipsurvey instrument. The original instruments reflected researchers’ consistent interest of theimpact of the C-EEEM on STEM-learning experiences for students generally andunderrepresented groups in particular; these integrated considerations informed by research onhigh impact practices for STEM motivation and retention, as well as those for facilitatinginnovation ecosystems and place attachment [3-12, 22, 23
workshops that focus on technical aspects of the projectwork would be helpful.1.0 IntroductionGraduate education in engineering has the goal of developing future engineers with strongtechnical and human interaction skills to succeed in the workplace. Yet, employers find thatgraduates are lacking skills in leadership, collaboration, communication, and critical thinking [1].Likewise, graduate students often experience limited opportunities to develop these skills [2]. Agoal of our NSF Innovations in Graduate Education project, entitled Graduate Education inCyber-Physical Systems Engineering, is to provide support for graduate students to become moreeffective leaders, communicators, and contributors in a collaborative interdisciplinary team.These
was asecond online meeting on 24 September (also the first regular monthly IEC meeting of the fallsemester) to provide an update on IEC activities, particularly the results from the two workinggroups on barriers for students and faculty (see below). There was also a discussion of papers tosubmit to ASEE.The workshop began on the evening of the 14th with a working dinner where status updates werepresented on collaborative activities, IEC and pre-workshop activities. Workshop tasks were alsoreviewed. On the 15th, there was a full day of topical sessions culminating in a second workingdinner to address strategies and summarize the list of immediate tasks. Session 1: Broad AppealPrograms - building a strong foundation for collaborative research
and Computer Sciences and a B.S. in Biophysics from the University of California at Berkeley, and an M.S. in Engineering from Harvard University. c American Society for Engineering Education, 2020 A Technology Pathway Program in Data Technology and ApplicationsAbstractWith an exponential increase in user-generated data, there is a strong and increasing demand foremployees possessing both technical skills and knowledge of human behavior. Supported byfunds from the National Science Foundation Division of Undergraduate Education, we havebegun to address this need by developing a technology pathway program in data technology andapplications at a large, minority-serving public university. As part of this
settings such as summer camps, military experiences, and extra-curricular activities. Other research interests involve validation of CFD models for aerospace applications as well as optimizing efficiency of thermal-fluid systems.Dr. Shannon Ciston, University of California, Berkeley Shannon Ciston is a Lecturer and Director of Undergraduate Education in the Department of Chemical and Biomolecular Engineering at the University of California, Berkeley. Dr. Ciston holds degrees in chemical engineering from Northwestern University (PhD) and Illinois Institute of Technology (BS). She teaches undergraduate and graduate courses in technical communications and applied pedagogy, and conducts engineering education research.Ms
practices. Based on feedback from pilot interviews, we made several revisions to theactivity, including adding several practices, clarifying language, and dropping or combiningseveral practices perceived to be redundant. The final list of 26 practices represent a wide rangeof engineering activity, including research, technical skills, communication, design, andsocial/contextual awareness. A full list of engineering practices included in this activity isavailable in Figure 1. Each practice was assigned a randomly generated letter from A to Z tofacilitate quick recording of practices named during the interview and practices were presentedto participants in a randomly shuffled set (or arranged randomly on a screen in our digitaladaptation of the
semester, we formulate prediction as a naturallanguage generation problem.The LLMs generate student end-of-semester performance by using zero-shot learning, i.e., we donot fine-tune the LM using the data. Instead, LLMs take combinations of cognitive,non-cognitive, and background data as input and generate the output sequence (inference), e.g.,“At the end of the semester, the student will be prone to risk”. The conversational LLM-basedlanguage generation approach requires the input data to be in a natural language format. Since ouroriginal dataset is numeric, first, we transform it into a natural language dataset. Figure 1 providesan overview of the approach for developing a language dataset on student learning for utilizingpre-trained LLMs for
the general instructional objectives of thefreshman course.The project was titled “Introduction to Big Data Analytics: Analyzing Tweets with Matlab”. Theinstructor provided the students with a Matlab code that was designed to facilitate applyingSentiment Analysis to tweets. For example, the code can be used to (1) identify tweets thatcontain one or more specific keywords and (2) create a histogram of words used in these tweets,in order to identify recurring themes in tweets that mention the keyword(s). The final deliverablefor the project was a report in which students detailed how they used the Matlab code to answer anumber of open-ended questions, as well as an introductory section in which students discussedthe importance and applications
institutions, and finally, promoting the employment of reconfigurableelectronics graduates. I. IntroductionIn general Programmable Logic Devices and FPGA-based re-programmable logic design becamemore attractive as a design media during the last decade, and as a result, industrial use of FPGAin digital logic design is increasing rapidly. Considering the following technology trend inindustry, the need for highly qualified logic designers with FPGA expertise is at high demand.According to the United States Department of Labor, the job outlook is on the rise and willcontinue to expand for at least the short- to medium-term future [1]. To respond to the industryneeds for FPGA design skills, universities are updating their curriculum with courses
managerial assessment centers, job performance measurement, work related attitudes and behavior, training development, and quantitative methods has appeared in a variety of books, journals, as papers presented at professional meetings, and as technical reports. Dr. Woehr currently serves as editor for Human Performance as well as on the editorial boards for Organizational Research Methods, and the European Journal of Work and Organizational PsychologyDr. Daniel M. Ferguson, Purdue University at West Lafayette Daniel M. Ferguson is CATME Managing Director and the recipient of several NSF awards for research in engineering education and a research associate at Purdue University. Prior to coming to Purdue he was
demographics such as gender, ethnicity, and year.To analyze the data, we used grounded theory techniques to center the voices of the participants.The authors wrote memos throughout the process (Miles and Huberman, 2014). Throughoutinitial reading of the interview transcripts, the first author wrote memos to generate an initial setof codes based on in vivo and process coding. In vivo coding refers to the codes that emergefrom the phrases students use verbatim which continues to center the voices of the participants(Creswell & Creswell, 2013). Process coding describes participants actions or interaction andtheir consequences (Creswell & Creswell, 2013) which is an appropriate coding process toanswer our research question.FindingsRecruitment and
to include additional bridge and studio courses, findings. We are also hopeful that other schools willbuilt a software engineering studio, and assigned mentors create their own versions of this program, and create morefor all participants. We are also creating additional opportunities for women and all people to enter computing.relationships with industry for jobs and internships. Weplan on having technical seminars on surviving and thrivingin the tech industries, specifically to support our women 6. REFERENCESstudents. [1] Abel, J., Deitz, R., & Su, Y. (2014). Are Recent College