region of south Texas where manycounties have Hispanic/Latinx majority populations [4]. As a result, TAMUK has a highpercentage of undergraduates that identify as Hispanic/Latinx, 75% in fall of 2020 [5]. Researchin higher education has identified challenges for Hispanic students at all levels, communitycolleges [6,7], universities [8,9], and in graduate study [10,11]. Recently completed research hasaffirmed that these challenges exist for Texas A&M University-Kingsville students [12,13,14].Rendón et al.’s report of perceived challenges to Latinx student success in STEM (based on theNSF award # 1759134 to Laredo College) provides a succinct summary: “(1) Lack of culture ofsupport, (2) Lack of educational resources, (3) Academic deficiencies
2019 Full-Time Faculty (M) Daytime 7 Spring 2020 Full-Time Faculty (M) Daytime 12 Full-Time Staff (K) Daytime 13 Fall 2020 Adjunct Faculty (S) Evening 4Team Projects 1 and 2The first project is a self-directed exploration of applying strain gages to a beam. Students mustfirst identify sources for answering comprehension-level questions regarding the strain gage andbridge circuit. For instance, “In your own words, define the gage factor and describe why itmatters” or “In your own words, describe the purpose and process of balancing the bridgecircuit”. Next
future.8 AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grants No.1723209 and 1723245. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.9 References[1] R. W. Fairlie, F. Hoffmann and P. Oreopoulos, "A Community College Instructor Like Me: Race and Ethnicity Interactions in the Classroom," The American Economic Review, vol. 104, no. 8, pp. 2567-2591, August 2014.[2] A. Perrakis and L. S. Hagedorn, "Latino/a Student Success in Community Colleges and Hispanic-Serving Institution Status," Community College Journal of Research and Practice, vol
“Simulation…hasbecome ubiquitous in engineering education.” More recently, Magana [4] presents research donewith a panel of 18 experts from academia and 19 from industry, on what modeling andsimulation (M&S) practices should be integrated into engineering education. There wassignificant consensus on the need for skills related to validation, acknowledging uncertainty inthe interpretation of simulation predictions, and developing intuition and being critical of results.Developing a healthy doubt of computer-generated results in students is an issue that others haveaddressed [5], [6]. Both the increasing use of M&S, and the need for the credibility of M&Sresults to be questioned, is addressed in the ASME Guide for Verification and
Paper ID #34468Best Practices for Attracting Young Talent to the Pennsylvania and U.S.Metalcasting IndustryC. R. Hasbrouck, Pennsylvania State University C. R. Hasbrouck is a graduate research assistant and doctoral candidate in the Department of Industrial and Manufacturing Engineering Department at Penn State. C. R. received a B.S. in Mechanical Engi- neering from Trine University, a M.S. in Mechanical Engineering from Colorado School of Mines, a M.S. in Industrial Engineering from Penn State University, and is currently finishing a Ph.D. in Indus- trial Engineering. Most of C. R.’s research is for ferrous alloy
. T. Barrett-Lennard, “The empathy cycle: Refinement of a nuclear concept.” Journal of counseling psychology, vol. 28, no. 2, p. 91, 1981. [7] C. R. Rogers, “Empathic: An unappreciated way of being,” The Counseling Psychologist, vol. 5, no. 2, pp. 2–10, 1975. [8] R. R. Carkhuff and B. G. Berenson, Beyond counseling and therapy. Holt, Rinehart and Winston, 1967. [9] N. D. Feshbach and S. Feshbach, “Empathy in education,” in The Social Neuroscience of Empathy, J. Decety and W. Ickes, Eds. Massachusetts: The MIT Presss, 2009, ch. 7, pp. 85–97.[10] A. F. Chang, S. E. Berger, and B. Chang, “The relationship of student self-esteem and teacher empathy to classroom learning.” Psychology: A Journal of Human Behavior, 1981.[11
provides a way toillustrate the range of knowledge gains that could result from a reflection activity. These threefactors are used as a basis to ideate on different kinds of learning possible, but they are not thefinal factor structure we aimed to have for the instrument. Below, we explain each factor, situatethe factor briefly in relevant literature, and provide examples of student utterances that mightalign with the factor.Professional knowledge: Reflection activities clearly have the potential to help students advancetheir knowledge of the topics they are studying in order to become engineers. Our way offraming “professional knowledge” as a type of knowledge arising from engagement in reflectionactivities is in alignment with Stevens et al.’s
. Evans and F. Reeder, A Human Capital Crisis in Cybersecurity: Technical Proficiency Matters. Washington, DC: Center for Strategic & International Studies, 2010.[2] Cyber Seek, “Cybersecurity Supply/Demand Heat Map,” Cyber Seek Website, 2019. https://www.cyberseek.org/heatmap.html (accessed Feb. 03, 2019).[3] D. Dasgupta, D. M. Ferebee, and Z. Michalewicz, “Applying Puzzle-Based Learning to Cyber-Security Education,” in Proceedings of the 2013 on InfoSecCD ’13 Information Security Curriculum Development Conference - InfoSecCD ’13, 2013, pp. 20–26, doi: 10.1145/2528908.2528910.[4] R. S. Cheung, J. P. Cohen, H. Z. Lo, and F. Elia, “Challenge Based Learning in Cybersecurity Education,” 2011, Accessed: Sep. 23
discussion posts indicate that the design andimplementation of this course was effective in meeting the established learning goals andsupporting students’ experiential education experiences in research. Although we hope toincorporate some in-person activities into future offerings of EGR 193, the bulk of the coursewill likely remain online to provide flexibility for students who are pursuing a wide range ofresearch experiences. One important adjustment to future online offerings of this course will beto integrate more opportunities for students to receive encouragement and positive reinforcementfrom their peers and the instructor. As noted in the discussion of week 3’s recommendation letterexercise, the asynchronous nature of this course meant that
students would associate help with the librarians’faces and voices.Table 1: Lesson Plan and Changes for New Workshop Design [1] Lesson Plan Topics Covered in Changes for When/where Assessment 2019-2020 academic 2020-21 covered question(s), year academic year 2020-2021 Introduction How to get help COVID-19 Live virtual Question 1 to the from a librarian; protocols (e.g. class only (live virtual class) Library How to book a mask-wearing, study room booking
Paper ID #34922Creating a Peer Review of Teaching Process to Enhance InstructorFeedback in Engineering EducationDr. Jennifer L. Herman, Ohio State University Dr. Jennifer Herman is a senior lecturer in the Department of Engineering Education at the Ohio State University, where she teaches undergraduate and graduate level courses in technical and research commu- nication. Dr. Hermanˆa C™s research interests includeDr. Ann D. Christy P.E., Ohio State University Ann D. Christy, PE, is a professor of Food, Agricultural, and Biological Engineering and a professor of Engineering Education at the Ohio State University (OSU). She
. Table 10. Responses to End-of-Course Survey Question(s) Average Survey Prompt Score (1 = Strongly Disagree, 5 = Strongly Agree) (n = 12)1. I enjoyed the Three Levels course project this semester. 4.582. Whether I liked the project or not, it was valuable for my learning. 4.833. Whether I liked the project or not, it was academically rigorous. 4.334. I believe that I gained skills from this project that I can apply later in my life and
what has happened in the past when it hasn’t been sufficiently accounted for.” (8 Nov 2019). “I’m struggling with how to set-up these lectures…as I am writing this, I am going through [Professor D]'s [faculty reflection log] and learning a lot about what worked and what didn’t work in the classroom. I am hoping that the students gain knowledge from this assignment but I am already predicting that there will be pushback from the students…I can’t emphasize enough what great timing this interview assignment was with regards to reviewing [Professor D]’s [faculty reflection log] and also working on the ASEE paper focusing on the interview assignment. Although I am sure I can do better with preparing
don’t know what those systems will be because they’re going to becreated, they’re going to be new. But what is clear is that they’re going to rely on fundamentals,because that is how the design process is done.”2. Deep Structure: Teaching for BreadthIn contrast to the mixed reports on teaching for depth, teaching for breadth was observed as apositive outcome for the majority of alumni interviewed. For example, one alumnus mentionedthat the breadth of knowledge in engineering science has provided “metaphors to draw on whenI’m trying to understand a new domain”, while another mentioned that the breadth of knowledge“broaden(s) your scope of knowledge” and gives cross disciplinary perspectives which is usefulas “somebody needs to be the person that
- assisted learning versus conventional teaching methods on the acquisition and retention of knowledge in medical surgical nursing students," Nurse education today, vol. 31, no. 8, pp. 866-871, 2011.[14] R. V. Lindsey, J. D. Shroyer, H. Pashler and M. C. Mozer, "Improving students’ long-term knowledge retention through personalized review," Psychological science, vol. 25, no. 3, pp. 639-647, 2014.[15] R. F. Hopkins, K. B. Lyle, J. L. Hieb and P. A. S. Ralston, "Spaced retrieval practice increases college students’ short-and long-term retention of mathematics knowledge," Educational Psychology Review, vol. 28, no. 4, pp. 853-873, 2016.[16] J. Direnga, M. B. Presentati, M. D. Timmermann, A. Brose and C. H. Kautz, "Does it
camp along with some discussion guides on the topics and on theengineering design principles underlying artificial kidneys and aerosol medications targeted toregions of the lungs.IntroductionThe Oklahoma State University Alumni Association has hosted Grandparent University as anannual 3-day residential summer camp offered as two sessions each summer since 2003, exceptin 2020 due to the COVID-19 pandemic. Grandparent University is for children ages 7 to 13 whohave a parent or grandparent who is an active member of the Alumni Association and areaccompanied by their grandparent(s) or adult chaperone of their grandparents’ generation. Thecamp is intended to be a fun-filled experience that actively engages kids in academics on campuswhile creating
collection [18]. Through GORP, the observer can select codes for observedclassroom activity for both the instructor(s) and students. Observations are coded in 2-minuteintervals until the class session is over. If the observer makes a mistake, they can note it duringthe next interval, and adjust the data accordingly by hand, after class. Data is automaticallyanalyzed in GORP and can be exported to excel for further analysis. COPUS observations arelimited by the fact that a trained individual must label an in-class interaction/behavior in real-time. Multiple behaviors can occur at the same time and some may be missed. This can createsome issues with missed labeling or mislabeling during active learning class activities.Additionally, data are collected
-Couetil, N., Dyrenfurth, M., Teaching students to be technology innovators:Examininng approaches and identifying competencies. ASEE 2012, San Antonio, TX.[3] Steuer-Dankert, L., Gilmartin, S., Muller, C., Dungs, C., Sheppard, S., Leicht-Scholten, Ca.,“Expanding Engineering Limits—A Concept for Socially Responsible Education of Engineers,”International Journal of Engineering Education Vol. 35, No. 2, pp. 1–16, 2019.[4] Brunhaver, SR, RF Korte, SR Barley, and SD Sheppard. April 13, 2018. Bridging the Gapsbetween Engineering Education and Practice. In R. Freeman, and H. Salzman (eds.), U.S.Engineering in the Global Economy, Chicago, IL: The University of Chicago Press.[5] Gilmartin, SK, AA Antonio, HL Chen, SR Brunhaver, and SD Sheppard. April 13
computational thinking outcome. These tangible artifacts werealso coupled with qualitative assessment of the students’ responses.After the students mastered their “Camp Intro”, near-peer mentors introduced pitching theirvery first idea. This idea did not necessarily make it into implementation for their finalprojects. Pitching their idea included communicating the societal need(s) for the technologyand how the team is addressing the need through creation of the technology. Students wererequired to give presentations about any background information surrounding an idea.Students had to identify other applications and how their technology would be different.Students were also encouraged to ask insightful questions to other campers about how theirpotential
technical coursework, as Watters et al. [17] also pointed out. As an across-the-curriculummodel, Davis [22] suggested a micro-insertion approach, which introduces small units of ethicsinto technical courses. We will discuss this approach and how this paper’s work might beintegrated into this approach in more detail in the discussion section.Insights from the industry for ethics educationThe workplace provides engineers with opportunities to encounter and experience ethical issues.McGinn [23]’s survey with practicing engineers indicated that most (80.2% in 2001 survey, 89.2%in 1999 survey, and 84.4% in 1997 survey) practicing engineers think engineering students arelikely to encounter ethical issues in their future engineering practice, and
consider identifying this outcome as an optional outcome in E-CURE’s assessments Organization and Project Management ABET Criterion 5, Curriculum, with Evaluate UR-CURE Outcome Components respect to IEEE program-specific criterion E “The ability to apply project management techniques to electrical/electronic(s) systems” 1. Identify discrete work tasks and 1a. Displays ability to share distribution of budgets for a portion of a project Tasks 2. Direct the project work of one or more 2a. Displays ability to share distribution of tasks team members 2b. Shows ability to work
, 2012.[16] A. Calabrese Barton, H. Kang, E. Tan, T. B. O’Neill, J. Bautista-Guerra, and C. Brecklin, “Crafting a future in science: tracing middle school girls’ identity work over time and space,” Am. Educ. Res. J., vol. 50, no. 1, pp. 37–75, Feb. 2013.[17] H. B. Carlone, C. M. Scott, and C. Lowder, “Becoming (less) scientific: A longitudinal study of students’ identity work from elementary to middle school science,” J. Res. Sci. Teach., vol. 51, no. 7, pp. 836–869, 2014.[18] K. L. Tonso, “Student engineers and engineer identity: Campus engineer identities as figured world,” Cult. Stud. Sci. Educ., vol. 1, pp. 273–307, Sep. 2006.[19] S. Rodriguez, K. Cunningham, and A. Jordan, “STEM identity development for
] H. S. Truman, "Statement by the President making public a report of the commission on higher education," December, vol. 15, p. 1947, 1947.[5] J. McFarland et al., "The Condition of Education 2019. NCES 2019-144," National Center for Education Statistics, 2019.[6] L. Berkner, C. C. Wei, S. He, S. Lew, M. Cominole, and P. Siegel, "National Postsecondary Student Aid Study (NPSAS: 04), 2003-04: Undergraduate Financial Aid Estimates for 2003-04 by Type of Institution. ED TAB. NCES 2005-163," National Center for Education Statistics, 2005.[7] D. J. Boyd, "Public research universities: Changes in state funding," in American Academy of Arts and Sciences, 2015.[8] U. S. D. o. L. Bureau of Labor
strategic decision made by the Central Commit-tee of CPC and the State Council of PRC. Over the past four years, it has shown unique characteris-tics different from previous higher educational policies. The Diffusion of Innovation Theory, tosome extent, can be introduced.2.2 Analysis model of the diffusion of “Double First-rate” InitiativeFrances S. Berry and William D. Berry (1990) integrated the internal decision-making model andexternal diffusion model, and proposed an integrated diffusion of innovation model. The modelhas become a mainstream model of diffusion of innovation in the West for a long time. This re-search revises the Berry’s diffusion of innovation model, expands the connotation of influencingfactors and mechanism factors, and tries