degree.Expanding this study to include a wider range of demographics and diversity in type ofinstitution used for participant recruitment will strengthen our existing results or reveal newones.The takeaways from this study will be used to strengthen our understanding of expertisedevelopment in the engineering workforce. Identity itself is complex and multifaceted and maybe intertwined with expertise depending on a multitude of variables which warrant furtherexploration.References Cited[1] Aaron, C., Miskioglu, E., Martin, K. M., Shannon, B., & Carberry, A. (2020, October). Nurses, Managers, and Engineers–Oh My! Disciplinary Perceptions of Intuition and Its Role in Expertise Development. In 2020 IEEE Frontiers in Education Conference (FIE) (pp
the three assessments. (a) (b) (c)Figure 3: Descriptive statistics for: (a) Work Meaningfulness, (b) Work Engagement, and (c)Social Responsibility .` minimum score attained, • mean score, and a maximum score attainedThe variable Work Meaningfulness, assessed with WAMI, showed that the mean of RLparticipants was the highest among the groups with M=41.33. For the variable Work Engagement,assessed with UWES, the group with the highest mean of M=72.66 was RL. Finally, for thevariable Social Responsibility, using EPRA, the group with the highest mean was OL withM=279.37. Table 2 summarizes the descriptive statistics for
home in theneighborhood. Figure 1(a) shows the parametric solid model of the house provided to students.Figure 1(b) shows the site location information provided to students. The client wanted to beadvised on what renewable energy systems would be appropriate for their house design,geographic location, and energy consumption. The client also asked for recommendations onbalancing the investment in insulating the building envelope with the investment in a solarsystem. The goal was to cover all the energy needed for conditioning (heating or cooling) thehouse with a renewable energy source like solar energy.Figure 1: Client house: (a) residential mass model (parametric solid model) provided to studentsto facilitate calculations, (b) site location
tending operation in HandlingProwhile Figure 2b is illustrating a robotic palletizing operation in PalletPro. Both of theseapplications were employed in the lead author’s Robotics and Automation course over a periodof a fifteen years. Robot programs produced in VS or off-line programming software aredownloaded to the robots later for accomplishing work. Figure 2 a. A pick and place operation of parts to be machined in a CNC [6], b. palletizing of boxes filled with completed partsAugmented RealityAugmented Reality (AR) is where the software application will superimpose or overlayalphanumeric, symbolic, or graphical information [7] onto the live view (of the real world) forenhancing user’s environment. AR can be
StudentClearinghouse Research Center, 2021.[4] A. Acosta, E. Johnson, R. Fishman, and W. Whistle, The Impact of COVID-19 on Transfer.New America, 2021 [Online]. Available: https://www.newamerica.org/education-policy/edcentral/the-impact-of-covid-19-on-transfer/ [Accessed 15 October 2021].[5] D. Chamely-Wiik, E. Frazier, D. Meeroff, J. Merritt, W.R. Kwochka, A.I. Morrison-Shetlar,M. Aldarondo-Jeffries, K.R. Schneider, J. Johnson, “Undergraduate Research Communities forTransfer Students: A Retention Model Based on Factors that Most Influence Student Success,”The Journal of Scholarship of Teaching and Learning, Vol. 21, no. 1, 2021.[6] A. M. Ogilvie and D. B. Knight, “Post-transfer transition experiences for engineering transferstudents,” Journal of College
Paper ID #38389Eco-STEM: Transforming STEM Education using an Asset-based Ecosystem ModelGustavo B Menezes (Professor)Corin L. Bowen (Postdoctoral Researcher) Corin (Corey) Bowen (she/her/hers) is a postdoctoral researcher in the College of Engineering, Computer Science and Technology at California State University, Los Angeles, where she is working on the NSF-funded Eco-STEM project. Her engineering education research focuses on structural oppression in engineering systems, organizing for equitable change, and developing an agenda of Engineering for the Common Good. She conferred her Ph.D. in aerospace engineering
). Literature Review: Exploring Teamwork in Engineering Education.Gonçalves, P., Araújo, M., Benevenuto, F., & Cha, M. (2013). Comparing and combining sentiment analysis methods. Proceedings of the First ACM Conference on Online Social Networks - COSN ’13, 27–38. https://doi.org/10.1145/2512938.2512951Hutto, C. J., & Gilbert, E. (2014). VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text. 10.Liu, B. (2012). Sentiment Analysis and Opinion Mining. Synthesis Lectures on Human Language Technologies, 5(1), 1–167. https://doi.org/10.2200/S00416ED1V01Y201204HLT016McCorkle, D., Reardon, J., Alexander, J., Kling, N., Harris, R., Iyer, R. V. (1999). Undergraduate marketing students
.20023Bosman, L., & Fernhaber, S. (2018). Teaching the Entrepreneurial Mindset to Engineers. Springer International Publishing.Brubaker, E. R., Maturi, V. R., Karanian, B. A., Sheppard, S., & Beach, D. (2019, June 15). Integrating Mind, Hand, and Heart: How Students Are Transformed by Hands-On Designing and Making. ASEE Annual Conference and Exposition. https://doi.org/10.18260/1-2--32988Desai, N., & Stefanek, G. (n.d.). A Literature Review of the Different Approaches That Have Been Implemented to Increase Retention in Engineering Programs Across the United States. ASEE Zone II Conference.Drewery, D., Nevison, C., & Pretti, T. J. (2016). The influence of cooperative education and reflection upon previous work
, time management,and organization [3]. Self-regulation does not only occur at the individual level, but also asWatson [2] notes, it is impacted by interactions with one’s environment and can be learnedthrough modelling, scaffolding, and direct instruction. Just-in-time teaching (JiTT) combines theuse of out-of-class, web-based exercises with active-learning pedagogy in a traditional classroomsetting to create a feedback loop that “(a) encourages outside-of-class preparation by students,(b) provides prompt feedback on students’ conceptual understanding of course material, and (c)informs just-in-time modifications of class activities and discussion” [1].The course materials were redesigned to accommodate online self-regulated learning
workforce development – Multiple studies in the quantum community has focused on the need for workforce education and development to drive the coming “quantum revolution” [7], [8], [54]. Without careful attention to equity and inclusion, however, QIS runs the risk of replicating the patterns of its progenitor fields, which have made among the least progress among STEM fields in tackling longstanding diversity problems [55], [56]. To combat these trends, Aiello et al. call specifically for an Course Pseudonym Home Dept Institution Type Course Level Listed Dept(s) Since A Albert Computer Science Private R1 BFY Undergrad Computer Science 1999 B
resources,and what content needs to be further developed.Thus, this work-in-progress paper examines free online LGBTQ+ courses, specifically thoseoffered on Coursera. Coursera was chosen to begin the analysis because (a) as a MOOC provider,it provides learners (82 million registered users) with an opportunity to access free courses fromanywhere; and (b) with an employee group called, Queersera, it aims to support LGBTQ+ peopleby offering courses and hosting events [9].MethodsWe examined the list of courses on Coursera using key terms such as “LGBTQ”, “LGBTQ in theworkplace”, “gender”, and “sexuality”. We found six courses offered in English with a focus onLGBTQ+ issues (the analysis was conducted in June 2021). In this paper we focus on four
mentors were provided a copy of Pfund et al.’s ‘EnteringFig. 2: Virtual orientation sessions were organized for participants of Clarkson University’s NSFREU Site on HPC (shown is the 2021 cohort along with site directors, mentors, and the ECEdepartment chair.TABLE II: Research Projects & Mentors for Clarkson University’s HPC REU site in Summers2020 & 2021 (two and seven projects respectively) Mentor & Affiliation Project Dr. A, Applied Mathematics Image Inpainting of EBSD Images with Large Areas Removed Dr. B, Electrical and Computer Engineering Thermal Simulation of a CPU Based on Model Order Reduction Dr. C, Electrical and Computer Engineering Data-Driven Proper Orthogonal Decomposition
predominantlyfrom underrepresented minority groups.The combined course demographics areshown in Figure 1. The majority student Figure 1. The demographics of the maker-infusedgender in the infused courses is female CURE and CURE-like Biology courses at NCCU(Figure 1A) and the majority ethnicity is are majority female and majority black.black (Figure 1B). Therefore, active recruitment of underrepresented minorities was notnecessary. However, for the BIOL2030 DaBuGs Honors Elective course, grant P.I.s visited1000- and 2000-level Biology courses and the Annual Summer Internship recruitment event torecruit students with a ‘B’ or better in their 1000-level courses to enroll in the elective CUREcourse. The paid summer internship and the resume-building
: Jan. 15, 2022. [Online]. Available: https://peer.asee.org/mentoring-programs-supporting-junior-faculty[10] N. C. Chesler, P. B. Single, and B. Mikic, “On Belay: Peer-Mentoring and Adventure Education for Women Faculty in Engineering,” J. Eng. Educ., vol. 92, no. 3, pp. 257–262, 2003, doi: 10.1002/j.2168-9830.2003.tb00766.x.[11] S. C. M. Namara, A. E. Rauh, M. M. Blum, N. Russo, M. A. Green, and S. Nangia, “Peer Mentoring for Women in STEM,” presented at the 2020 ASEE Virtual Annual Conference, Jun. 2020. Accessed: Jan. 15, 2022. [Online]. Available: https://peer.asee.org/peer-mentoring-for- women-in-stem[12] S. L. Mendez, V. M. Conley, C. L. Haynes, R. A. Gerhardt, and J. Tygret, “The IMPACT
access Breast Cancer data AttributesThe main problem with linear regression is that the predicted value does not always fall withinthe expected range. In such cases Logistic regression is more helpful. Following is a list ofimportant dictionary keys for the Breast cancer Data set: a) Classification label names (target_names) b) The actual labels (target) c) The attribute/feature names (feature_names) d) Odds are defined as follows: (1) Odds = Chances of something happening / Chances of something not happening (2) Let P = Probability of success (3) 1 – P = Probability of failure (4) Odds = P / 1 – PStudent Activity II: Exploring the Logit FunctionLogit Function: The logit Function is the natural
: investigatingthe attributes of innovative space,” Journal of Knowledge Management, 2013.[16] J. M. McCoy, “Linking the physical work environment to creative context,” The Journal ofCreative Behavior, vol. 39, no. 3, pp. 167-189, 2005.[17] G. R. Oldham, and D. J. Brass, “Employee reactions to an open-plan office: A naturallyoccurring quasi-experiment,” Administrative Science Quarterly, pp. 267-284, 1979.[18] L. E. Maxwell, and G. W. Evans, “Museums as learning settings: The importance of thephysical environment,” Journal of Museum Education, vol. 27, no. 1, pp. 3-7, 2002.[19] B. J. Fraser, “Learning environment in curriculum evaluation: A review,” Evaluation inEducation, vol. 5, no. 1, pp. 1-93, 1981.[20] M. Puteh, C. N. Che Ahmad, N. Mohamed Noh, M. Adnan
the formatting for such a problem. The indicators [A],[B], and [C] indicate where in the text the student will type in their answers. Since the answer istext and not numeric, three options for each part are generated. There is a blank column betweeneach of the lists of possible solutions. Also, the number of significant digits or decimal placesneeds to be part of the problem given to the students. The number of decimal places needs to beprescribed in Excel, so Excel does not remove the trailing zeros (e.g., 2.00 does not become 2).When the different questions are copied into the sheet for uploading, Paste Values (Values andNumeric Formatting) is necessary so that the trailing zeros are once again not removed.Figure 5, Fill in multiple blanks
study presentedthe status of Infra-3D-Lab as a teaching method for EAC courses in a university in Mexicoand formulated a framework that will provide guidelines to incorporate Infra-3D-Lab as atool for efficient remote collaboration.VII. ACKNOWLEDGMENTSThe authors would like to acknowledge the financial support of Writing Lab, Institute forthe Future of Education, Tecnológico de Monterrey, Mexico, in the production of thiswork.VIII. REFERENCES[1] C. Shen and J. Ho, "Technology-Enhanced Learning in Higher Education: ABibliometric Analysis with a Latent Semantic Approach," Comput. Human Behavior, Vol.104, p. 106177, 2020, doi: https://doi.org/10.1016/j.chb.2019.106177.[2] B. Y. Yusuf, K. N. Ali, and M. R. Embi, "Building Information Modeling as a
addressed in this study: a) how can adding prompts to wordproblems help us better understand the first steps of the problem solving approach?, b) are thoseprompts sufficient to extract information from the first steps of the problem solving approach?,and c) does the use of prompts interfere with students ability to solve word problems?This study will benefit engineering programs searching for ways to identify issues in students’problem solving skills and looking for ways to correct those deficiencies.Background:Word problems are the type of problems most frequently solved in engineering programs. Wordproblems are classified based on their complexity, content, and structuredness [1].To provide a consistent metric to evaluate student work, rubrics
, while attending college. Two commonalities help tocharacterize current and former military members as a group: a deeply ingrained, shared military cultureand the presence and acknowledgement of racial, ethnic, cultural, gender, and socio-economic diversitywithin that culture. As a cultural group, military undergraduates are unique in the ways they a) embodythe multiplicity of race, ethnicity, gender, orientation, and ability within the U.S. citizenry and b) represent,or come from, the varied and disparate socio-economic sectors and geographic and cultural regions thatcomprise the nation. As such, increasing military undergraduate participation in engineering can help torealize a socio-culturally and socio-economically inclusive workforce that
mechanisms that can be retained, perhaps withmodifications, for a better learning experience in the post-pandemic situation. We will be able to identifycertain at-risk groups/demographics of students who may have somewhat fallen behind during thepandemic situation, and help them catch up. We will also understand the different perceptions studentshave towards APMA courses compared to major-related core courses, and receive inputs to redesign ourAPMA courses as needed.References[1] Besser, A. et al. (2020) ‘Adaptability to a sudden transition to online learning during the COVID-19pandemic: Understanding the challenges for students.’, Scholarship of Teaching and Learning inPsychology. doi:10.1037/stl0000198.[2] Faulkner, B., Earl, K. and Herman, G
Institute, 2017), but little is known about how these factorsinfluence PCEE. In a recent special issue focused on PCEE research, Martin & Wendell (2021)discuss the dominant narrative driving initiatives for equity in engineering education: In this problematic view, advancing equity revolves around a two-step process of diversifying participation, which itself entails (a) getting diverse learners ‘‘into the room,’’ perhaps by building excitement or by rooting out barriers to participation, and then (b) remediating their deficiencies so that they can be full participants. (p. 43)This narrative follows the tradition of unjust societies to locate the problem of inequity withinthe disenfranchised individuals and not the
EDUCATION: POSITIONING YOUTH AS AGENTS OF CHANGE ReferencesAUTHOR, A. (2019).AUTHOR, A. (2020).Barnett, M., Kim, D., Cho, E., & Kim, S. L. (2019). Culturally Relevant Science: An Invention Program for Middle School English Language Learners. 2019 Conference of the American Association for Applied Linguistics (AAAL).Barron, B. (2014). Formative assessment for STEM learning ecosystems: Biographical approaches as a resource for research and practice. National Research Council Committee on Out-of-School Time STEM. Washington, DC: National Research Council.Barton, A. C., & Tan, E. (2018). STEM-rich Maker Learning: Designing for Equity with Youth of Color. Teachers College
part of a process and necessary elements for learning andgrowth. As one woman shared, “Now that’s my instant reaction. When I fail at something, Ithink, ‘What can I learn from this?’” They failed, knowing they would always have support andencouragement from their family. B. Developing a sense of self in general and in relation to engineering through early encounters of empowerment, reaffirmation, and challenges from external educational and social forces.Alongside the familial influences, K-12 education and the broader sociocultural contexts inwhich the women have resided also played a role in the women’s development of self-awareness.The women participants generally regarded their ability to perform well in math and science inK-12
and receiving her Ph.D. in Educational Studies (Science Education), Dr. Merritt was a high school chemistry and physics teacher in Charlotte, NC. Her areas of expertise and research focus on: (a) designing science and engineering curriculum materials and assessments to investigate P-20 student learning, and (b) preparing teachers to teach science equitably in the inclusive, culturally and linguistically diverse classroom. Her work has been funded by the National Science Foundation and Department of Education. She has authored or co-authored a book, several book chapters and journal articles.Joel Alejandro Mejia (Dr.) Dr. Joel Alejandro (Alex) Mejia is an Associate Professor with joint appointment in the Department of
students are currently in the program. The Science andEngineering Practicum course helped scholars discern their career choices. The embeddedtutoring intervention has benefitted both the scholars and other students in the university. Theproject-based out-of-the-classroom learning approach has proven to be beneficial for the studentsin both their intellectual as well as personal growth. As the first cohort approaching graduation, we plan to provide further career counselingand support for Cohort 1, as well as conduct exit interviews and surveys.AcknowledgementsNSF S-STEM 1741937References[1] G. A. Smith, “Place-based education: Learning to be where we are,” Phi delta kappan, 83(8), 584-594, 2002[2] A. DeFelice, J. D. Adams, B. Branco
while comparing their responses to those oftheir subjects. We searched for themes that were similar and held consistent between both phasesof explanation as well as themes that were different or expansive.ResultsIn our sample of 99 students, 81 students identified as male, 14 identified as female, there was onetransgender female, and 3 students did not report. Figures 1a and 1b summarize the age and raceof our students, respectively. (a) Age of first-year engineering students when taking the survey (b) Self-reported race of first-year engineering students Figure 1. Demographic information of first-year engineering students taking the surveyStudent responses (99) of the three open-ended questions from the
to successfully engage in entrepreneurshippractices), or (b) suggested that lack of high-growth is a result of the type of businessventures started by URG entrepreneurs and women (e.g., targeted or focused primarilyon customer groups with limited high-growth potential) (Gonul, 2018). This limits ourunderstanding of differences in STEM entrepreneurship opportunities and outcomesacross URG groups and our ability to increase the opportunities and reduce negativeoutcomes (Greenhalgh & Lowry, 2011; Heilman & Chen, 2003; Dayanim, 2011).Additionally, we have insufficient understanding on how URG STEM businesses divergefrom their White and Asian counterparts. The development and translation of “deep tech” is vital to the
.2020.03.272[13] F. Rahman, E. Billionniere, B. Marshall, H. Seo & T. Forman. Debugging the Diversity Tech's Gap through (Re-)entry Initiatives in Emerging Technologies for Women. Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, 2021, Virtual Event, USA, pp. 762–763. https://doi.org/10.1145/3408877.3432563[14] F. Rahman & E. Billionniere. Re-Entering Computing through Emerging Technology: Current State and Special Issue Introduction. ACM Transactions on Computing Education, 2021, vol. 21. https://doi.org/10.1145/3446840[15] NSF RESET 2021 conference website, https://resetconference.syr.edu/[16] J. Brewer & A. Hunter. Foundations of multimethod research: synthesizing styles, Sage, 2006.[17] N
B 2 77, 64 C 2 68, 57 D 2 73, 44 E 4 41, 39, 37, 25 G 1 77 Sum 5 instructors 11 sections 602 students ESM 2204 MDB A 1 29 C 1 30 D 1 55 F 1 44 Sum 4 instructors 4 sections 158 students ESM 3704 BPS F 1 152 Sum 1 instructor 1 section 152 studentsTable 1: Instructor and enrollment