transitioning from industry to academia, based upon the recent experiences of surveyedfaculty who have completed this transition successfully. This preliminary work is intended toseek feedback that will be helpful for expanding this work to a more extensive survey of facultythat fit this category. The most obvious challenge is the adjustment to teaching rather thanworking in an engineering production, design, or consulting environment for industry. However,the information presented here includes a myriad of challenges beyond teaching, includingdeveloping an academic research program through direction of graduate work, and satisfying thevarious professional development, service, and research requirements expected of universityprofessors [1, 2].The three
Engineering Education Faculty Member at the University of Michigan. She earned her Ph.D. in Engineering Education and an M.S. degree in Industrial Engineering from Purdue University; an M.B.A. degree from Governors State University; and a B.S. degree in General Engineering from the University of Illinois at Urbana-Champaign. Prior to her graduate studies, she worked as a professional in the areas of manufacturing, operations, technical sales, and publishing for ten years. She also served as an adjunct faculty in the Engineering Technology Program at Triton College in River Grove, IL for seven years. © American Society for Engineering Education, 2022 Powered by
mentoring quality [12–13], 2) mismatch in seniority and department position may strainpotential mentoring relationships [21], 3) power dynamics and administrative responsibilities canlead to favoritism and transparency issues, impacting mentoring relationships [22], and 4)mentoring, as a skill, in general, requires training [1]. The sum of this work makes it clear thatsenior faculty mentors need certain attributes to be successful with mentoring, as well asguidelines, milestones, metrics, and incentives to know if they are meeting the mentoring needsof their mentees [17].The current work is part of the Kern Family Foundation-funded Mentorship 360 project atArizona State University, which aims to create research, frameworks, and resources to
any of the supportive management plans for each of theircourses. The course management plans can be enhanced by integrating a combination of classcommunication management, time management, quality management, and risk managementmodalities. This paper will demonstrate training on qualitative research method plans with anemphasis on teaching and managing an individual college course and its consequences onother mentioned aspects of course management planning.Communication Management PlanningA personal communication survey [1] was used to identify the dominant type of student’scommunication in several engineering classes. A total of 72 surveys linked to communicationstyles were distributed to students to fill in and return to the course
reportdemographic data of the students enrolled in the course, spatial visualization scores, persistencedata for the Engineering Technology majors enrolled in the course, outcomes in other majorcourses, graduation data, and discuss future initiatives related to revising the EngineeringTechnology curriculum.Introduction / Review of LiteratureOver the last thirty years, engineering and technical graphics educators have dedicated more timeto studying and developing spatial visualization abilities in students [1-3, 5, 8-10]. Challengeshave occurred since students enter universities with a wide range of spatial visualization abilities[11]. Academic and non-academic activities during students’ early years (e.g., playing withbuilding blocks, participating in art
spectrum disorder (ASD). With earlier diagnoses andcomprehensive support in secondary school, more students with ASD are enrolling in science,technology, engineering, and math (STEM) curricula in college [1-3]. Students with ASD canencounter many obstacles when entering college [4]. Despite academic success in thecoursework the student with ASD may face distinctive challenges in the classroom, such assensory issues, or other needs like organizing assignments, time management, and peermentoring, that are not addressed by traditional accommodations. All these challenges impactoverall performance and present an impediment for the students to engage in the overall collegeexperience. At Arizona State University we have developed a program for
typical learning environment in general emphasizes “correct” answers and provides aproblem space with full information to solve a problem. Thus, students get anxious when theyencounter a situation with information or data that is irrelevant to the solution or does not have“one” answer. There has been a concerted effort to move from a structured to an ill-structured (oropen-ended) problem space to provide more realistic learning experiences. Complete informationis seldom available in real-life problems and hence present challenges to individuals whoseproblem-solving experience has been limited to complete information. This situation is furthercomplicated if the “incomplete information” also includes unknown relationships between thevarious
course,” World Transactions on Engineering & Technical Education 7 (1).[4] N. Stozhko, B. Bortnik, L. Mironova, A. Tchernysheva, E. Podshivalova, 2015, “Interdisciplinary project-based learning: technology for improving student cognition,” Research in Learning Technology, 23, DOI: 10.3402/rlt.v23.27577.[5] S. Bauer, A. McFarland, M. Staehle, and K. Jahan, 2012, “Weaving sustainability into undergraduate engineering education through innovative pedagogical methods: a student’s perspective,” Proc. of ASEE Annual Conference, San Antonio, TX. 10.18260/1-2-22224.[6] H. Hilger, F. De Los Reyes, W. DiBiase, L. Holmes, S. Luster-Teasley, S. Mandjiny, K. Schimmel, T. Steck, C. Wang, 2007, “Multi-campus design and implementation of problem
were also all full professors in the tenure-line. Theyhad work and leadership experiences outside of university settings, such as being professionalengineers and working in professional development settings. They averaged 2-3 years ofleadership experience, with two Fellows starting this year as the chair of their departments.In Fall 2022, the Fellows participated in four sessions involving critical reflection and dialogueon topics related to power and privilege. The topics of these discussions are described in Table 1.The scope of the discussions was broad, and included both Fellows’ roles as individuals insociety and how they, as STEM disciplinarians, viewed success in STEM education and that oftheir students.Through this work, the Fellows
,diverse, and equitable engineering leaders, educators, and researchers and to help bridge the gapbetween traditional academic graduate studies and the workforce demand for practical and appliedleadership skills.LEAD Division strategy priority: Inform.Key project objective: To assess the effectiveness of an innovative engineering-specificleadership group for graduate students. 1Project context: A study by the National Academy of Engineering identified technicalcompetence, business acumen, communication skills, leadership ability, and a global perspectiveas key skills for engineering leaders [1]. The development of graduate students’ leadership abilitiesthrough a
results of students’ self-assessment in an engineering economics class. It should benoted here that self-assessment is a general tool that can be implemented in any course.Self-assessment, as in letting students assess their own work, is one of the most interestingassessment topics in literature both in secondary and in higher education. The complexity of thetopics ranging from what constitutes self-assessment, why do self-assessment and how to useself-assessment results are some of the reasons why this topic is interesting and getting attentionin the literature. The interest in self-assessment is due to many reasons. Boud [1], Dochy,Segers and Sluijsmans [2], and Sluijsmans, Moerkerke and Dochy [3] suggested that the reasonfor this greater
Paper ID #37494The Use of Lean Principles to Improve Teaching Efficiencyfor Engineering CoursesJohn A. Mirth (Associate Professor) John Mirth is a Professor of Mechanical Engineering at St. Cloud State University in St. Cloud, MN. Dr. Mirth received his Ph.D. and MSME degrees from the University of Minnesota, and his BSME degree from Ohio University. During his career he has taught at five different universities: University of Denver, University of Wisconsin-Platteville, Rose-Hulman Institute of Technology, University of Iowa, and St. Cloud State University. Dr. Mirth's technical expertise lies in areas
"Distinguished Citizen by the City Council of Asunción" for his contributions to education in Paraguay's space sector. And in December of the same year, he was mentioned as the "Outstanding Protagonist of 2017" by the newspaper Ultima Hora. Currently, in addition to his activities in academia, Dr. Kurita is working as the General Director of Planning and Management at the Paraguay Space Agency. © American Society for Engineering Education, 2022 Powered by www.slayte.comStudent Paper: Workshop evaluating the systems integration of a CubeSatas an effective tool for STEAM education, a case study of work in progress.IntroductionThe STEAM approach and Aerospace Education have
tools by interested students and teachers. All the curricula also have relevantstandards related to math, science, engineering, and technology. Table 2. Typical TECH4K5 Curriculum by Week Week Activity during the 1.5-hour session 1 Interest Inventory – ice breaker, getting-to-know each other 2 Become familiar with LEGO EV3 kits, begin to build basic robot 3 Continue building basic robot 4 Use Bluetooth to remotely control the robot. Teachers explain that robots will soon be programmed to move. 5 Introduction to the EV3 programming environment. 6 Students program robot to go forward a certain distance. Teachers help students
and our perception ofindustry needs.In the upcoming months and through the summer, we are hoping to replace our subjectivenotions of success with tangible metrics. We are aiming to conduct a large-scale survey ofalumni who have and have not gone through the course sequence. Our hope is to concretelydiscover answers to questions such as the following: 1. Did we help in shaping any students into entrepreneurs and/or full-stack engineers who were on a different trajectory before? 2. Did we help in the hiring process? 3. Did we help in the career selection process? 4. Did we help in the career onboarding process? 5. How effective were our pedagogical methods in helping students achieve mastery of technical and non-technical
metrics Bulletin, 2(6):110–114, 1946.[15] B. L. Welch. The generalization of ‘student’s’ problem when several different population variances are involved. Biometrika, 34(1/2):28–35, 1947.[16] P. Xiang, A. Chen, and A. Bruene. Interactive impact of intrinsic motivators and extrinsic rewards on behavior and motivation outcomes. Journal of teaching in physical education : JTPE., 24(2), 2005.[17] R. M. Ryan and E. L. Deci. When paradigms clash: Comments on cameron and pierce’s claim that rewards do not undermine intrinsic motivation. Review of Educational Research, 66(1):33–38, 1996.[18] R. M. Ryan and E. L. Deci. Chapter 2 when rewards compete with nature: The undermining of intrinsic motivation and selfregulation. In C
knowing whetherscholarships will be extended pressures students to drop out or select non-engineering majors.This same pressure affects other students but has a disproportionate effect on URM students.Besides URM students, other groups of diverse students are also more prone to stress and socould be similarly affected. Graduation data supports this as a factor. Scholarship renewalpolicies are compared for public and private four-year colleges, Historical Black Colleges andUniversities (HBCUs) and Hispanic Serving Institutions (HSIs).IntroductionThe names of various types of racism often get interchangeable use [1]. The definitions usedhere will be specified to be clear. Systemic racism and institutional racism are similar concepts.In both, it is
innovation.In technical fields such as engineering, the underrepresentation of African American, Black,Hispanic, and Native American engineering graduate students compared to peers who are Whiteis a well-documented issue [1]. For every seven majoritized students that complete a doctoraldegree in engineering, only one minoritized student will obtain the same degree in the U.S. [2],[3]. Commissions have identified disproportionate representation in the workforce as a majorchallenge due to barriers that are socio-cultural, economic, and historical in nature [4]. At thesame time, research studies have provided empirical evidence that highlights the differences inthe experiences of African American, Black, Hispanic, and Native American
program with a trade-off approach for optimizing the TDR; in other words, re-programming the speed rate and pathtermination as motion program variables for an effective RTR. This research work presents an empiricalapproach that analyzing the TDR variables depending on measuring the response features of RTR. Full-factorial design of experimentation has been applied for operating FANUC Robot LR-Mate 200iB andcollecting the data. Results analysis of variables effect validates the applicability of the empiricalapproach.1. IntroductionThe gap between technical capability and practical application of robotics utilization increasedconstantly within last years, especially regarding small and medium-sized enterprises. Otherwise, thereis a recognizable
praised by students and department for his outstanding teaching and research excellence. To supplement his teaching and research, he has been involved in numerous professional societies, including ASCE, ACI, ASEE, ASC, ATMAE and TRB. His research output has been well disseminated as he has published thirty journal papers and thirty-nine conference papers. His research interests are 1) Creating Innovative Sustainable Materials, 2) Structural BIM Integration, 3) 4D/5D BIM, 4) Virtual Testing Lab, 5) Innovative Construction Demolition, and 6) Carbon Footprint Analysis on Roadways.Dr. Rachel Mosier P.E., Oklahoma State University Dr. Rachel Mosier is an Associate Professor at Oklahoma State University, with a background in
has always been praised by students and department for his outstanding teaching and research excellence. To supplement his teaching and research, he has been involved in numerous professional societies, including ASCE, ACI, ASEE, ASC, ATMAE and TRB. His research output has been well disseminated as he has published thirty journal papers and thirty-nine conference papers. His research interests are 1) Creating Innovative Sustainable Materials, 2) Structural BIM Integration, 3) 4D/5D BIM, 4) Virtual Testing Lab, 5) Innovative Construction Demolition, and 6) Carbon Footprint Analysis on Roadways.Dr. Rachel Mosier P.E., Oklahoma State University Dr. Rachel Mosier is an Associate Professor at Oklahoma State University
within SUCCEED at Florida International University. My research passions are centered at the intersections of equity in higher education, advocacy, social justice, and overall allowing for the expression of an authentic self in educational spaces in route to achieving student success.Dr. Trina L. Fletcher, Florida International University Dr. Fletcher is currently an Assistant Professor at Florida International University. Her research focus equity and inclusion within STEM education, STEM at HBCUs and K-12 STEM education. Prior to FIU, Dr. Fletcher served as the Director of Pre-college Programs for the National Society of Black Engineers (NSBE). Additionally, she spent time in industry holding technical and operations
engineering design Deliver an engineering system addressing a real-world problem, to produce solutions that meet using (1) the engineering analysis and design skills learned specified needs with consideration of through the first 3 years of their undergraduate education, in public health, safety, and welfare, as conjunction with (2) the engineering design process taught in well as global, cultural, social, ME 170. Solutions must be tested against design requirements. environmental and economic factors. Ability to function effectively on a Work as part of a team to design and develop an engineering team whose members together system. Students bring their technical expertise, rely on and provide leadership, create a
institutions increase the adoption of essentialtransfer practices [1]. These include re-prioritization of transfer student recruitment and successat Cal Poly so that Cal Poly can better serve neighboring communities. One aspect of this is toencourage deep connections for student engagement across the campuses. The PrincipalInvestigator (PI) of the grant at Cuesta identified the potential to connect through establishing achapter of Engineers Without Borders (EWB) at the community college. The PI was confidentthis would attract non-traditional students to engineering by creating opportunities for positivesocial and equity work [2]. As we began to investigate this possibility, we found that even inEWB, there are structures in place that make engagement
to 14 students which is lower than the standard capacity of30 students. The department launched more sections to reduce class sizes to accommodate thelow-capacity requirement.For the live-streaming mode, the section was assigned to the upgraded Technology EnhancedClassroom which includes additional technical equipment such as a teaching station webcam anddocument camera linked to the projector, as shown in Figures 2.1 through 2.3.Figure 2.1Figure 2.2 Figure 2.3All instructors are required to complete a mandatory training session for the LearningManagement Systems (LMS) for asynchronous and synchronous teaching. LMS allows theinstructors to post course content, including the syllabus, exams, and
theinfluence veterans have and how their military experience can benefit non-military students intheir pursuit of an engineering degree.Veteran students are highly regarded for their professionalism, maturity, and for setting theexample both inside the classroom and out. In general, it is easy to see that a veteran presence inthe classroom positively effects the performance of the other students in the course. This report,however, focuses on quantifying the effect of veteran students on the academic performance oftheir non-veteran counterparts.This report will show how non-veteran performance was influenced as it relates to eight veteranstudents distributed across three sections of a first-semester, control-systems course versus theireffect when all
technical and business skills for “John.” Asummary of the coding approach with findings is presented in Table 1. Trait (sample language used1) Julie John Percent of responses (count) Percent of responses (count) Business (Landscape) 0% (0) 5% (1) Technical (Honors, 35% (7) 37% (7) Undergraduate research, CAD, Publication, Engineering, Skilled, CoolCapstoneProject, Worked-in-lab, Handcycle, Intern, 3-programming- languages) Non-Technical (Active, No gap, 20% (4) 16% (3) Barista, Hard worker
study, we compare narratives shared by 36 potential role models and 29 mentorsin STEM and how those narratives might differentially impact the viewer based on their identity-based and culturally-situated themes. Our results suggest that, despite the many contextualdifferences (e.g., age, point in professional career, race, ethnicity, etc.), role models and mentorsshare many of the same kinds of narratives around their values and aspirations. However, theapparent differences are often identity-relevant, and the role models’ narratives generated deepemotional responses in the researchers as viewers. Future work will explore students as viewersbased on these results.IntroductionThis work-in-progress study is part of a larger project to facilitate
then copy/paste into this form: _____ In the next class, you will teach your teammates about your process.Jigsaw Grading Rubric Rate the student’s submission on a scale of 1 (strongly disagree) to 5 (strongly agree). 1. Clear Explanations – The explanation of how the process works (from Question 1) would be easy for a teammate to understand. 2. Completeness - The student provided complete and informative answers to all questions. 3. Curiosity - The student provided specific detail (rather than vague generality) in their responses and/or reported an interesting piece of information in response to Question 8.Mini-Design Project: Swag Production Proposal Assignment The process information submitted by class members is here
potential tokenism.Minority as an adjective is generally defined as the smaller number or less than half. Withwomen comprising over half of college enrollees, the term is only valid when consideringpopulations at the discipline level, and then it is redundant with "underrepresented." However, asindicated in the report title, "Women, Minorities, and Persons with Disabilities in Science andEngineering" [1], common usage of "minorities" emphasizes non-white racial or ethnic groupmembership. As the demographics of the U.S. change, this term will cease to be factuallymeaningful in that context as well. That tipping point for the college-aged population to becomeminority single-race/non-Hispanic white is likely in the next five to ten years [16]. When