was used to predict main task and learningperformance internship outcomes, and ordered logistic regression was used to predict overall internshipperformance. The results confirmed that (1) cognitive intelligence or technical skills are necessary butnot sufficient for success in executing professional tasks and (2) certain interpersonal and intrapersonalskills were also significantly associated with better professional performance as an intern. Page 24.209.2Introduction Competition in the global market requires employees to be highly qualified for different types oftasks 1,2 and have transferable skills.3 In 2007, the European Union
target specifications which are in the language of an engineer6. Some examplesof the translation are presented in Table 1 below. In the third step of this phase the studentsgenerate numerous concepts that satisfy the needs and specifications they identified (Fig 1, 5a).A concept is an approximate description of the technology, working principles, and form of theproduct6. A concept is a brief description of how the product satisfies its end users and is usuallyin the form of a 2D or 3D sketch with some written description6. In the final step of this phasethey objectively compare the generated concepts through a decision matrix method6. The teamschoose a winning concept and present a formal proposal through an oral presentation to thefaculty, the
she wanted to developan engineering skillset while discouraging any egotistical traits. This juxtaposition enabled her toidentify the engineering traits she wanted to adopt and continue to form as well as those that shewanted to distance herself from.Engineers are often associated with technical knowledge of math, science, and physics, and arenot generally considered to be effective communicators. However, all of the attributes ofengineers mentioned by participants were related to professional skills and critical thinking, suchas effective communication. These findings indicate that the development of such skills and traitsoften supplement engineering identity, but are not necessarily considered as anchors; in suchinstances, participants
and contains insights and motivations of students who have been a part of this program,past and present.MotivationGeneral Motivation. Interest in aerospace-related programs and courses has arisen from a variety ofperspectives. The relatively recent popularity of unmanned aircraft systems (UAS), and the renewedinternational interest in US aerospace programs focusing on lunar habitation and Mars explorationhave all caused a strong resurgence in aerospace programs, in general. NASA’s Artemis program ‘’willlead humanity forward to the Moon and prepare us for the next giant leap, the exploration of Mars.’’The Artemis program initially aimed to land humans on the moon again by 2024 as a first step in theprocess. [1] While this enormously ambitious
. Polynomial fit (polynomial regression)You can regard polynomial regression as a generalized case of linear regression. You assume thepolynomial dependence between the output and inputs and, consequently, the polynomialestimated regression function. y = a0 + a1 x + a2 𝑥 2 + ⋯ + +a𝑚 𝑥 𝑚where a0 , a1 … am are coefficients with m ≤ n. 1. Based on the given dataset, we first form matrix and right-hand side vector 𝑦0 𝑎0 1 𝑥0 𝑥02 … 𝑥0𝑚 𝑦1 𝑎1 Ax = b, A = 1 𝑥1 𝑥12 … 𝑥1𝑚 , b
of technical projects that empower the next generation of engineering students.Francisco Osuna, The University of Texas at El Paso Francisco Osuna is a Software Engineer with a Master’s in Computer Science from The University of Texas at El Paso with over 15 years of experience designing and developing robust software systems. Francisco spearheaded the design and development of Engage, a groundbreaking student success information management system that has been adopted by over 25 national academic institutions. This project alone has transformed academic administration by streamlining processes, reducing reporting overhead by an impressive 95%, and delivering on-time results through meticulous project management.Angel
emissionsalone [1]. This is a large percentage, which is why green roofs are such an up-and-coming designdecision for new buildings. As the use of green roofs becomes more prevalent, an evaluation ofthe benefits and challenges may be something architectural engineering programs choose toincorporate into their curriculum. This paper aims to consider the particular challenge of addedweight to a roof structure, with the understanding that the addition of structural material tosupport this load must be considered alongside operational energy benefits that a green roofprovides. In addition, the research herein provides a methodological framework for evaluatingthe efficacy of energy-saving strategies in general, including relevant software tools
of open research artifacts. Table 1: List of Topics Covered Each Week (Two Class Periods) Week Topic 1 The Scientific Method 2 The Research Lifecycle 3 Open Science and Research 4 Reproducibility 5 Computational Reproducibility 6 Reproducibility Assessment (Closed Phase) 7 Introduction to Open Science Tools 8 Reproducibility Assessment (Open Phase)Overview of class sessions and assignmentsLectures occurred mostly as discussions, with simple prompts to facilitate. Outside of lecture,reading passages were distributed with questions to guide student reflections. The main
, D. L. McGuinness, and others, “Ontology development 101: A guide to creating your first ontology.” Stanford knowledge systems laboratory technical report KSL-01-05 and~…, 2001.[48] W. Tsutsui and D. Delaurentis, “A System-of-Systems Inspired Framework to Enhance Aerospace Structural Mechanics Education,” in 2023 ASEE Annual Conference & Exposition, 2023. doi: 10.18260/1-2--42518.[49] D. Schaefer, J. Panchal, S. Haroon, and F. Mistree, “Design Education for the World of Near Tomorrow: Empowering Students to Learn How to Learn,” in 2011 ASEE Annual Conference & Exposition, 2011, pp. 22–429.[50] W. Tsutsui, R. D. Lopez-Parra, G. S. Coutinho, A. Mello, M. D. Sangid, and T. J. Moore, “The
. He is currently non-tenure track faculty in mechanical engineering at Georgia Tech, lecturing in mechanic ©American Society for Engineering Education, 2024 Chasing assessment: The faculty experience of trying to implement evidence based practices wellA significant focus in engineering education research is encouraging faculty to improve the way theyteach [1], [2], [3]. A research to implementation pipeline exists to achieve that goal - new approaches aredeveloped and disseminated, faculty are trained or supported in implementation, and then results areevaluated [4], [5], [6]. Such efforts are often measured through increased use of evidence-based practices[7] as part of a
People-Related Generic Skills. Education + Training, 63(2), 313–327. https://doi.org/10.1108/ET-05-2020-0116Polak, P. (2008). Out of Poverty: What Works When Traditional Approaches Fail (pp. 51–81).Poverty and Inequality Platform. (2023). Worldbank.org. https://pip.worldbank.org/country- profiles/KENSang, A. K., Muthaa, G. M., & Mbugua, Z. K. (2012). Challenges Facing Technical Training in Kenya. Creative Education, 03(01), 109–113. https://doi.org/10.4236/ce.2012.31018Sorber, R., Winston, S., Koech, J., Ayuku, D., Hu, L., Hogan, J., & Braitstein, P. (2014). Social and Economic Characteristics of Street Youth by Gender and Level of Street Involvement in Eldoret, Kenya. PLoS ONE, 9(5), e97587. https
to become better integrated within it; To break down gender barriers in the field and promote a truly equal and inclusive environment; To organize social events to strengthen rela- tionships to encourage those who may feel ostracized.; To encourage young women ages K-12 to explore computing through outreach programs, camps, and mentorship. Lana’s efforts are helping create a new generation of female tech leaders in the Rochester area and beyond.Mr. Timothy T Conlon American c Society for Engineering Education, 2021Welcome audience members and thank them for participating in the session. Explain that there will be four speakers participating in the presentation
1 Overview As a work‐in‐progress, we aim to improve teamwork and foster more inclusive professional identities for chemical and biological engineering (CBE) undergraduate students. Our goal is to continually engage students in instruction related to inclusion and diversity by integrating a variety of activities and assignments throughout their engineering curriculum.Weber and Atadero. 2020 Annual CoNECD Conference. 2Why are we doing this? ‐ We hope to assist students in more effectively working with each other throughout their academics‐ We also hope to achieve a more diverse and inclusive engineering workforce that is capable of solving the numerous
talk or traditional lecture.IntroductionIncreasing emphasis has been placed on the engineering education community to implementstudent-centered pedagogies which can increase retention and offer the students a more authentic(“real-world”) experience. These pedagogies have proven to be more effective than thetraditional “chalk-and-talk” passive lecture methods, and include challenge-based learning (e.g.,problem-based learning, project-based learning, case-based learning, inquiry-based learning [1])and a multitude of active/collaborative techniques (e.g., think-pair-share, quick think, jigsaw, andgallery walk). All of these learning methods excel in student learning of content as well as avariety of process skills such as critical thinking
robot’s environment to be acquired through visual input. The limitation ofnot having the onboard capability to process images prohibits the VEX kits from being used inmore advanced robotic applications such as vision-based control. The department of Computer Engineering Technology (CET) offers “CET 4952: RoboticsTechnology” [1, 2] as a technical elective to its students in the CET baccalaureate program. Thecourse is structured to have a 3-hour lecture session and a 3-hour lab session each week. It isoffered twice a year in both fall and spring semesters. Its course learning objective is to addressfundamental subjects in both Autonomous Mobile Robots and Robotic Manipulators, as well aspreparing students with necessary knowledge and skills in
author of 10 patents and multiple publications/presentations at technical and engineering education conferences. Areas of expertise and research interest include, Deformation & Failure Mechanisms, Materials Science, Fracture Mechanics, Process-Structure-Property Relationships, Finite Element Stress Analysis Modeling & Failure Analysis, ASME BPV Code Sec VIII Div. 1 & 2, API 579/ASME FFS-1 Code, Materials Testing and Engineering Education. Professionally registered engineer in the State of Texas (PE).Matt Pharr, Texas A&M University Matt Pharr is an Associate Professor and J. Mike Walker ’66 Faculty Fellow in Mechanical Engineering at Texas A&M University with a courtesy appointment in Materials
faculty to become proficient in each role. The vastmajority of faculty members report taking four to five years to become‘productive’ in their teaching and research efforts [1]. Research shows that earlyprofessional experiences, including mentorship support (or lack thereof), followindividual faculty throughout their academic life cycle, impacting careerperformance, research, motivation, persistence, and mental health [3, 4]. Pre-tenurefaculty and professional track faculty also report significant stress, a general lackof support, and an overall struggle with work-life harmony [2].Mentorship for tenured faculty can also present a challenge as mentorshipinitiatives are often targeted to pre-tenure roles, leaving tenured faculty to navigatetheir
Fig. 9. Correct actual position by semester. 100% 80% 60% 40% 20% 0% Fall 2016 Fall 2017 Fall 2018 Fall 2019 Fall 2020 Fall 2021 Fall 2022 Overall Correct Accept/Reject Decision ‐ Test 1 Correct Accept/Reject Decision ‐ Exam Fig. 10. Correct accept/reject decision by semester.Overall, students correctly determined the MMC more often on the first test (88.9%) than on thefinal exam (86.7%). This trend changed during the fall 2021 and fall 2022 semesters wherestudents performed better on the exam than on the first test. The allowed position, in general,was calculated correctly more on the exam (76.7%) than on
, partnered with awheeled Pelican case and 250 grams of filament. A LibGuide provided instructionalmaterials. These circulating printers empowered students to explore 3D printing andtroubleshooting outside the library, in their own space and timeframe. Taking studentengagement to the next level, the librarians also developed and taught a 1-credit honorscourse where students worked in groups to build 3D printers. The course facilitated adeeper understanding of 3D technology through assembling 3D printers from kits,thereby teaching students the basic mechanics of 3D technology and use of tools. Thecourse had a small cohort of twelve students, split into four teams of three, who builtiMade3D Jellybox kits in a weekly class held within the engineering
– including instructional approaches and policies – is not student ready? The goal of our NSF-supported project, called “Eco-STEM,” is to establish a healthy STEM educational ecosystemthat allows all individuals within the ecosystem to thrive [1]. The context for our work on STEMeducational ecosystems is a Very High Hispanic Enrolling Hispanic-Serving Institution (HSI) atCalifornia State University, Los Angeles, where the majority of our students are also low-incomeand first-generation college students [2]. Guided by an ecosystem paradigm [3], the project aimsto: 1) create a supportive and culturally responsive learning/working environment for bothstudents and faculty; 2) make teaching and learning rewarding and fulfilling experiences; and 3
Low‐Income Students: Evidence from a Randomized Controlled Trial Evaluation of a Case‐Management Intervention”, Journal of Policy Analysis and Management, 2020, Vol. 39(4), pp. 930-965[2] M. Walpole 2003. Socioeconomic Status and College: How SES Affects College Experiences and Outcomes. The Review of Higher Education Fall 2003, Volume 27, No. 1, pp. 45–73[3] R.W. Lent, S.D. Brown, and G. Hackett, “Toward a unifying social cognitive theory of career and academic interest, choice, and performance”, Journal of Vocational Behavior vol. 45, pp. 79-122, 1994.[4] M. Gibbons and M. Shoffner, “Prospective First-Generation College Students: Meeting Their Needs Through Social Cognitive Career Theory”, Professional School
Review. ERIC, 2012.[12] R. A. Berk, J. Berg, R. Mortimer, B. Walton-Moss, and T. P. Yeo, "Measuring the effectiveness of faculty mentoring relationships," Academic medicine, vol. 80, no. 1, pp. 66-71, 2005.Appendix ADemographics that were asked of students:Q1. What is your name?Q2. What is your UIC email?Q3. Are you a first generation college student?Q4. Were you born in the U.S.?Q5. How many children do you have?Q6. What is your gender identity?Q7 What is your race/ethnicity identity?Academic progress of students in their PhD program:Q8 - Have you taken your prelim exam?Q9 - Have you completed your coursework?Q10 - What major and degree are you working to complete?Effectiveness of the academic supervisorQ11. To what extent
set up a face-to-face meeting to reviewfindings and brainstorm actions. We generated a comprehensive list of possible actions; that is,actions that we could take immediately as well as actions that we would want to consider whenrevising our mission, goals, and strategic plan. The next section will highlight key lessons learnedand how we moved forward learning from that lesson.Lessons Learned, Response, and Value for our CenterLesson #1: What do we do? It depends on who you ask.The findings provide us with an opportunity to use data and the analysis to focus our continuousimprovement efforts in meeting campus needs. It was valuable to ascertain the perceptions of OurCenter by role group and the variations across these groups as noted above
-2.13 0.033 decisions Post 3.20 0.57 2 4 Pre 2.16 0.67 1 4 Understanding of smart cities -3.15 0.0016 Post 2.64 0.74 1 4Qualitative All students qualitatively described their perceptions of their appreciation, ability, orunderstanding of for the seven course objectives assessed. Generally, students’ qualitativedescriptions aligned with our quantitative data. Specific responses varied, but generallyhighlighted consistent themes. Students expressed an improved appreciation for the value ofsensors and
is an author or co-author of more than 31 journal and conference papers and reports. He serves as a technical reviewer for prestigious journals such as the International Journal of Construction Management, Frontiers in Built Environment, and ASCE Construction Research Congress proceedings. Dr. Din takes great pride in his teaching. Since 2017, he has taught various undergraduate and graduate courses at Arizona State University and the University of Houston. In recent years, Dr. Din has taught courses such as "Project Controls," "Building Information Modeling Applications for Construction Management," and "LEED and Green Construction Principles in Construction Management." © American
climate initiative. Separate surveys were administered for faculty,staff, postdoctoral fellows, and graduate students. Each survey included ~100 questions. Response rateswere high with over 80% of faculty and staff responding.Climate survey responses were distributed to departments through four separate profiles to facilitate morefocused discussions. Climate Profile 1 focused on Broad Experiences in the Department includingsatisfaction with resources, positive aspects of the climate, and concerns. Climate Profile 2 focused onmore Specific Experiences in the Department including transparency, influence, and voice. ClimateProfile 3 focused on the Overall Quality, Conditions, and Concerns related to climate in the department.Climate Profile 4
the best chance of making it to market. In manycases, commerce and trade depend on products that undergo strict testing and evaluation forsafety.1 Technical Standards Workshop. Case Western Reserve University. September 4th, 2019.https://engineering.case.edu/training/standard-curriculum/ Point of contact: Dr. Ya-Ting Liao and DanielaSoloman.Standards EducationThere is a global emphasis on essential education standards for undergraduate students.2 Inaddition, respondents of a survey of employers3 reported that 58 percent agreed that “there is aneed for engineers who possess the fundamentals of standards development and the knowledgeto find and apply the standards before employment.”A recent study by CWRU and UL concluded that students
Twyman; Benjamin Chambers; Tahsin ChowdhuryVirginia Tech; *Virginia Tech & Universidad EAFITIntroductionPrompted by the COVID-19 pandemic, a group of instructors of the first-year engineering program atVirginia Tech embarked on the challenge of adapting a traditional project-based course to an onlinelearning format. Project-based learning (PjBL) is a widely adopted active learning pedagogical approach,which promotes student critical thinking and problem-solving skills [1], [2]. PjBL has been proven to beeffective among engineering students, especially in the development of both technical and professionalcompetencies among first-year engineering students [3].The transition from in-person to online PjBL required some significant changes
source ofincreasing concern as evidence of the harmful effects of oceanic plastics pollution on wild lifeand even human beings accumulates [1],[3]. Currently 65% of Americans see oceanic plasticspollution as the most serious threat to the environment, outranking even that of climate change[2]. While an impressive statistic, there is still a considerable knowledge deficit on the part of thepublic regarding the mechanics of oceanic plastics pollution, and what exactly can be done tomitigate the problem. Certainly one of the more daunting challenges of the 21st century, thereare manifold solution approaches that can be brought to bear against oceanic plastics pollution,and in many countries around the world engineers and entrepreneurs are working
engineering technology programwithin their existing engineering college to capitalize on the synergies provided by the collegeand the new program.While the College’s seven departments are divided by “engineering field” and represent 13distinct undergraduate majors, the B.S. Engineering Technology degree was intentionallydesigned to be general and provide flexibility through multiple interdisciplinary opportunities.The B.S. Engineering Technology degree consists of a manufacturing-focused engineeringtechnology core plus two areas of emphasis, selected from a current list of five areas ofemphasis. Students have significant flexibility within this general program to focus theireducation toward specific career goals.Because of the diverse opportunities