periods are the focus of this work. A visualization of thismodel is presented below in Figure 1. Figure 1: Conrad et al.’s (2006, p. 257) Model of Undergraduate SocializationStrayhorn [23] argues that feelings of belonging are a fundamental human need that are alsosufficient to drive behavior. Individuals that feel cared for, supported, and that they matter tothose around them in a given environment subsequently feel that they belong in thatenvironment. Belonging takes on heightened importance during uncertain or stressful periods oftime, and in contexts where an individual feels like an outsider. For most traditional prospectivestudents, the college application process is stressful and takes place during late adolescence: acritical period
traditional linear regression and thus necessitatesa regression method that accounts for clustering within a sample. ICC values can range from 0 to1, with higher values indicating stronger intergroup correlations and indicating the need forHierarchical Linear Modeling (HLM) methods. While the interpretation of ICC depends on thecontext of the study and the research question being addressed, ICC values greater than 0.1generally indicate that there is a significant amount of clustering in the data and that HLM maybe appropriate [40]. It is also important to note that the interpretation of ICC values should bedone in conjunction with other information about the study, such as the sample size andcharacteristics, the instrument(s) used, and the research
HSGPAranges.Continuing from the insights provided by the KDE analysis, we further examine the variability inprogram complexity among universities. This part of the exploratory data analysis focuses on howthe structural aspects of university curricula influence student enrollment decisions. As highlightedin Figure 3, the distribution of program complexity varies notably between different institutions,such as University ’1’ and University ’3’. This variability is not merely incidental but indica-tive of these institutions’ diverse academic cultures and curricular frameworks. The KDE plot forUniversity ’1’, with a multi-peaked distribution, suggests a curriculum that offers a wide array ofprograms ranging from less to more complex. In contrast, University ’3’s
Paper ID #35732Engineers and AccountabilityDr. Kenneth W. Van Treuren, Baylor University Ken Van Treuren is an Associate Professor in the Department of Engineering at Baylor University. He received his B. S. in Aeronautical Engineering from the USAF Academy in Colorado Springs, Colorado and his M. S. in Engineering from Princeton University in Princeton, New Jersey. After serving as USAF pilot in KC-135 and KC-10 aircraft, he completed his DPhil in Engineering Sciences at the University of Oxford, United Kingdom and returned to the USAF Academy to teach heat transfer and propulsion systems. At Baylor University, he teaches
respondents’ gender, race, and age.Respondents were asked to rate various factors on a Likert scale – from not at all (0),barely (1), somewhat (2), moderately (3), and very (4), that influenced their decision toenroll in an aviation maintenance collegiate program. The factors were: encouragementfrom parent/ guardian; encouragement from advisor, teacher, or friend(s); the number ofjob opportunities the field offers and their level of pay; interest, passion, or aptitude insubject; and reputation of the program. The full survey is attached in Appendix A.Data Collection PlanParticipation in the survey was voluntary and this was indicated in the recruitment email.The recruitment email was sent using a blinded, private mailing list that did not identifythe
Fellow role(s) interested them and why. All of the candidates wereinterviewed and, based on those conversations, we decided to add two more Fellowship roles: The EnSURE Fellow would help organize the Engineering Summer Undergraduate Research Experience (EnSURE) program The Recruiting Fellow would assist in identifying and connecting with prospective graduate students through on- and off-campus recruiting activitiesIn addition to these six Engineering Graduate Leadership fellows, we decided to partner with theGraduate School’s Leadership Fellows program to co-sponsor two additional roles: a GraduateStudent Life and Wellness Fellow, focusing specifically on the needs of Engineering graduatestudents, and a Women in STEM
of applications that were introduced in the workshop.Upon completion of the workshop, the participants were given an eight-question exit post-trainingsurvey shown in Figure 2. There were six quantitative questions using a five point or a three-pointLikert scale as well as two qualitative questions. The two qualitative questions were also used aspedagogical tools based on experiential learning best practices. Question 7’s goal was to elicit apositive self-reflection while Question 8 reinforced learning through internalization andsummarization. 1. Exiting this workshop, I learned something new about AI concepts, applications, and ethics (1 - strongly disagree to 5 - strongly agree). 2. I have a better understanding of AI and how to
Leveraging Faculty Externship to Develop New Concentrations and Specializations in Construction Management CurriculaAbstractThis "Work in Progress" paper provides insight into a viable strategy for enhancing ConstructionManagement (CM) curricula through the integration of concentration(s) and specialization(s)within program degree paths via formalized engagement of a faculty member industry residency.Ultimately, a faculty member's industry residency aims to gain familiarity and hands-onexperience utilizing cutting-edge industry trends and best practices. It requires embedding a full-time faculty member within an industry environment during a typical summer academicsemester, reducing available faculty resources for the related degree
involved over the years teaching Mechanical, Industrial,Manufacturing, and Mechatronics Engineering Technology capstone courses at PNW.In the 1980’s and 1990’s, capstone projects were typically associated with a student’s workplaceat this university which was, at that time, focused on part-time adult learners. In the past twodecades the student body has shifted to younger, full-time students and senior capstone projecttopics, execution and outcomes have changed with the changing student body. With the shiftaway from part-time students, there are fewer adult learners in the classroom who are currentlyworking in the field. This results in a larger population of students who do not have existingaccess to industrial project experiences.Prior to this
University, India. He extensively traveled within and abroad for technical lectures viz., USA, Germany, Belarus, China, Hong Kong, Thailand, Malaysia, Singapore.Dr. Shanmuganeethi Velu, P.E., Dr. V.Shanmuganeethi, Professor, Department of Computer Science and Engineering. He has been work- ing in the domain of Education Learning Analytics, web technologies, programming Paradigm, Instruc- tional technologies and Teaching aˆ C” Learning PraDr. P. MalligaDr. Dinesh Kumar K.S.A. Dr. K S A Dineshkumar, Assistant Professor, Department of Civil Engineering. He has been working in the domain of Structural Engineering, Geographical Information System, Sustainable development, Smart City, Instructional technologies and Teaching
, how to dress, eat and hold a professional conversation at a formal meal during aninterview; and how to network and follow-up after meeting people professionally. The guestspeakers, veterans themselves, were excited to present to these highly motivated student veteransand to share their stories, and in the process, they inspired this next generation of engineers andengineering technologists.Keywords: adult learners, engineering, learning communities, STEM workforce preparationIntroductionThe goal of the National Science Foundation S-STEM project, A Pathway to Completion forVeterans Pursuing Engineering and Engineering Technology Degrees, is to provide professionaldevelopment and scholarships to student veterans who are attending Old Dominion
Water: Graduate Teaching Assistants in Introductory Science Laboratories at a Doctoral/Research University.,” J Res Sci Teach, vol. 41, pp. 211–233, 2004, doi: 10.1002/tea.20004. [2] G. Marbach-Ad, L. Egan, and K. Thompson, A Discipline-Based Teaching and Learning Center: A Model for Professional Development. 2015. doi: 10.1007/978-3-319- 01652-8. [3] D. A. Schmidt, E. Baran, A. D. Thompson, P. Mishra, M. J. Koehler, and T. S. Shin, “Technological Pedagogical Content Knowledge (TPACK),” Journal of Research on Technology in Education, vol. 42, no. 2, pp. 123–149, Dec. 2009, doi: 10.1080/15391523.2009.10782544. [4] P. Mishra and M. Koehler, “Introducing Technological Pedagogical Content
back on trackfaster by alerting teachers to potential problems. This paper proposes a Deep Learning NeuralNetworks approach that helps students select their best-fit specialization in a specific category.Deep learning is a subset of machine learning, but it can determine whether a prediction isaccurate through its own neural network- no human help is required [1]. The proposed systemwill use a dataset that contains student data that is related to the general education coursesrequired for their program, such as grades, the number of hours spent on each course's materials,the opinion of the student about the content of each course, and the course(s) that the studentenjoyed the most. Additional data will be included in the dataset such as the
] E. Salas, N. J. Cooke, and M. A. Rosen, “On Teams, Teamwork, and Team Performance: Discoveries and Developments,” Human Factors, 50(3), 540-547, 2008.[4] E. Salas, E., D. L. Reyes, and A. L. Woods, “The Assessment of Team Performance: Observations and Needs” Innovative Assessment of Collaboration, 21-36, 2017.[5] G. Wu, C. Liu, X. Zhao, and J. Zuo, “Investigating the Relationship between Communication- Conflict Interaction and Project Success Among Construction Project Teams,” International Journal of Project Management, 35(8), 1466-1482, 2017.[6] A. J. Garcia, and S. Mollaoglu, “Individuals’ Capacities to Apply Transferred Knowledge in AEC Project Teams,” Journal of Construction Engineering and Management
thermodynamics; Carnot Cycle; thermodynamic, overall, and isentropicefficiencies; effectiveness of heat exchangers; refrigeration and heat pump cycles, includingabsorption and cascade refrigeration, and other advanced cycles; air-conditioning processes ofhumid air; Reheat Rankine cycle including means to improve its efficiency; Otto and Dieselcycles; Brayton with intercooling, reheating, and regeneration; property diagrams, p-v, T-v, T-p,T-s, h-s, p-h, and Psychrometric chart.This paper examines course offerings in the fall of 2019, 2020, and 2021. The three offeringsdiffered in content delivery methods. Course in 2019 had one-third of the lectures flipped and alllabs were in person. Course in 2020 had completely flipped lectures and all instruction
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these constructs; Intrinsic goalorientation, Task value, Expectancy component and Metacognition increased after theyparticipated in the experiment whereas Test Anxiety reduced after the students were taught usingECP (mean = -0.21, test anxiety is expected to continuously decrease due to the intervention). Thisshows that the students are now confident in the biology concept they have learned.As previously mentioned, Table 2's results provide the summary statistics (mean, standarddeviation, and mean difference) as well as the p-values of paired t-tests of students' pre- and post-test scores for each MLSQ domain.Other notable improvements in the domain were in students’ Task value (subdomains: I am veryinterested in the content area of this course
circumstances, such as poor acoustics, room size, temperature, or aglaring blackboard, that could interfere with teaching and learning, are noted. The classobservation is completed before the end of the tenth week of the semester.Post Observation: This meeting is essential to share the observation outcomes. A post-observation form with guiding questions ensures that peer-observers follow a standardizedprocess. Faculty members also ask their own questions to the peer-observer(s). The discussioninvolves sharing notes and comments with the instructor, highlighting the positive aspects of theinstructions, and providing suggestions to further improve the quality of teaching. Either thecommittee member or the instructor may bring up any issue that needs
education a tri-annual publication of the associated schools of construction,” 2000.[3] B. Abbasnejad, G. Aranda-Mena, A. Nasirian, P. S. P. Wong, and A. Ahankoob, “Implementation of integrated BIM-VR into construction management curriculum: Lessons learned and development of a decision support system,” in IOP Conference Series: Earth and Environmental Science, Institute of Physics, 2022. doi: 10.1088/1755- 1315/1101/9/092029.[4] D. Nikolic, S. Jaruhar, and J. I. Messner, “Educational Simulation in Construction: Virtual Construction Simulator,” Journal of Computing in Civil Engineering, vol. 25, no. 6, pp. 421–429, Nov. 2011, doi: 10.1061/(asce)cp.1943-5487.0000098.[5] M. Afzal, M. T. Shafiq, and H
this material are those of the author(s) and do notnecessarily reflect the views of the URECA program. We would like to acknowledge all theresearchers, data collectors, and students who participated in the study.References[1] L. D. Xu, E. L. Xu and L. Li, “Industry 4.0: state of the art and future trends,” InternationalJournal of Production Research 56, no. 8, pp. 2941-2962, 2018.[2] R. Jiao, L. Luo, J. Malmqvist and J. Summers, “New Design: Opportunities for EngineeringDesign in an Era of Digital Transformation,” Journal of Engineering Design 33, no. 10, pp. 685-690, 2022.[3] J. M. Wing, “Computational Thinking,” Communications of the ACM 49, no. 3, pp. 33-35,2006.[4] Y. Li, A. H. Schoenfeld, A.A. diSessa, A. C. Graesser, L. C. Benson, L. D
, and students. Oncefilled out, the form should be submitted to the course coordinator(s) for ECE 3970/ECE 3971Junior Projects Course. The course coordinator will review the project proposal and will eitherapprove the project as is or send it back to the proposer with comments for modification.Title of Proposed Project:_____________________________________________________________Brief Project Description:__________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________Expected Number of Students: EE _____ CpE
Enterprise Development, Vol. 22No. 4, pp. 716-733.Dayanim, S. L., 2011. “Do Minority‐Owned Businesses Face a Spatial Barrier?Measuring Neighborhood‐Level Economic Activity Differences in Philadelphia.” Growthand Change, 42(3), 397-419Diez, F., 2014. “The Great Recession, Entreprenurship, and Productivity Performance.”Current Policy Perspective, Federal Research Bank of Boston, No. 14-8.Dosi, G. 1982. “Technological Paradigms and Technological Trajectories: A SuggestedInterpretation of the Determinants and Directions of Technical Changes”. ResearchPolicy, 11, pp. 147-162.Gonul, O., 2018. “Encouraging and Supporting Minority Entrepreneurship for Long-TermSuccess.” Entrepreneur & Innovation Exchange. November 2018.Greenhalgh, L., Lowrey, J., 2011
. Evans, F. Jentsch, and J. Keebler, “Constructs of Spatial Ability and Their Influence onPerformance with Unmanned Systems,” Hum. Factors Issues Combat Identif., Jan. 2010.[3] A. Ramful, T. Lowrie, and T. Logan, “Measurement of Spatial Ability: Construction and Validation of theSpatial Reasoning Instrument for Middle School Students,” J. Psychoeduc. Assess., vol. 35, no. 7, pp. 709–727, Oct.2017, doi: 10.1177/0734282916659207.[4] J. Buckley, N. Seery, and D. Canty, “Investigating the use of spatial reasoning strategies in geometricproblem solving,” Int. J. Technol. Des. Educ., vol. 29, no. 2, pp. 341–362, Mar. 2019, doi: 10.1007/s10798-018-9446-3.[5] N. S. Newcombe, “Picture This: Increasing Math and Science Learning by Improving
. 9–13. [5] National Science Foundation, “National science foundation - where discoveries begin.” [Online]. Available: https://www.nsf.gov/cise/bpc/ [6] M. M. de Royston and T. C. Madkins, “A Question of Necessity or of Equity? Full-Service Community Schools and the (mis)Education of Black Youth,” Journal of Education for Students Placed at Risk (JESPAR), vol. 24, no. 3, pp. 244–271, 2019. [Online]. Available: https://doi.org/10.1080/10824669.2019.1615920 [7] E. Dowell and M. Jackson, “”woke-washing” your company won’t cut it,” Jul 2020. [Online]. Available: https://hbr.org/2020/07/woke-washing-your-company-wont-cut-it [8] S. K. White, “How top tech companies are addressing diversity and inclusion,” Feb 2021. [Online
,” Chemistry Educucation Research and Practice, 17(3), 590-603, 2016.[6] S. Mndzebele, & S. Mckenna, “Applying a student curriculum discourse in higher educationteaching and learning.” Africa Education Review, 10(1), 1-17, 2013.[7] K. Balkos, B. Dow, S. Shams, R. Al-Hammoud, M. B. Emelko, S. Walbridge & C.Bachmann, “Pedagogical Skill Development Through the Horizontal Integration of a Second-Year Engineering Curriculum,” in Proc. ASEE 124th Annual Conference and Exposition,Columbus, OH; June 2017, 14 pp., 2017.[8] G. Whitman and M. Hardiman, Assessment and the learning brain. Retrieved from, 2017.[Online]. Available: http://HttpsL//www.nais.org/magazine/independent-school/winter-2014/assessment-and-the-learning-brain[9] R. Lynch, P. McNamara
genome samples for evidence of metabolic activity from prehistoric core samples ● examine how and why E. coli behaves when it interacts with human metabolic functions ● study how microbiomes within human gastrointestinal pathways change based on nutritional habits ● study how nitrogen fixation pathways can be genetically altered to create alternative biofertilizers ● examine the biochemical pathways present in extremophiles in order to understand how they help sustain marine ecosystemsCase 3 - High School Mathematics/Physics Teacher Ms. S Participating during both summer 2020 and 2021, Ms. S and her research mentordeveloped a curricular unit around radiation detection designed to engage students with real-timedata from
vol. 9, no. 2, pp. 3-24, 1998.[3] M. Prince, "Does active learning work? A review of the research," (in English), J Eng Educ, vol. 93, no. 3, pp. 223-231, Jul 2004, doi: DOI 10.1002/j.2168- 9830.2004.tb00809.x.[4] D. R. Webster, R. S. Kadel, and W. C. Newstetter, "What Do We Gain by a Blended Classroom? A Comparative Study of Student Performance and Perceptions in a Fluid Mechanics Course," (in English), Int J Eng Educ, vol. 36, no. 1, pp. 2-17, 2020. [Online]. Available: ://WOS:000506204800002.[5] D. Yang and K. Pakala, "Building an effect online thermodynamics course for undergraduate engineering students," 2017.[6] A. W. Chickering and Z. F. Gamson, "Seven principles for good practice in
policy’s (π) job is to map some state (s) of the Pacman board to some action (a)that is best to take: π(s) = aWhat follows is a detailed description of each learning tool presented herein alongside suggestedchoice points with which students may experiment for the purposes of deeply understanding thedeep-learning pipeline (and its limitations). 1 Here, “successful” control of Pacman is dictated by the transportability tier being solved (detailed later). Ingeneral, the idea of a successful policy in this environment is one that efficiently collects pellets while avoiding ghosts.Pacman Trainer (PT)Pacman Trainer (PT)2 is a web application akin to data crowdsourcing platforms like Ama-zon’s Mechanical Turk [https://www.mturk.com/] and the more
tensorof integer rank r ≥ 0 may be defined as a set of N r components ai1 i2 ···ir (each index ix rangesfrom 1 to N , where N is the dimension of the space of interest) that transform according to thefollowing rule: a′i1 i2 ···ir = Ri1 j1 Ri2 j2 · · · Rir jr aj1 j2 ···jr , (1)where the aj1 j2 ···jr are the tensor’s components in some coordinate frame S, the a′i1 i2 ···ir are thecomponents of the same tensor in a frame S ′ obtained from S by applying one or more of thetransformations of interest (those being translations and proper rigid rotations in Euclidean space,and Lorentz transformations in Minkowski spacetime), Rij is an orthogonal matrix representingthe transformation, and we are employing the
IAIs to ensureeverything is running smoothly behind the scenes including the coordination of team formationand peer evaluation, scheduling and student communications as well as support for technicalchallenges that may arise.There are four main projects or modules within this course. For each module, the regular weeklycourse routine is: course instructor(s) introduces a fundamental concept in one or more of thecore topics (Materials Science, Graphics Design, Computing, Engineering Design, Practice &Profession) along with a corresponding activity or related milestone of a design projectundertaken by all students, these happen in 3 hours of lectures each week Then, in each 3-houronline lab, one of the 11 IAIs gathers a maximum of 80 students