a Fluke 435 Series II power quality and energy analyzer.Course AssessmentThe Office of Academic Planning and Assessment at Sam Houston State University coordinatesthe institution’s well-established student ratings of instruction (SRI) instrument that is called theIDEA evaluation process. This instrument has a 1.0 to 5.0 scale, where 5.0 is the highest ranking.In addition to the university’s set general learning objectives, additional learning objectives alignedwith ABET-ETAC Criteria 3 are also included in the IDEA evaluation process. The IDEAevaluation process allows instructors to enter their own learning objectives aligned with theappropriate accreditation criteria and ranks the objectives as minor, important, and essential.Student
Planning, Developing Research Report, and Understanding School Culture. During these years, he has taught construction courses in several technical schools. Mr. Beigpourian currently works in the CATME project, which is NSF funding project, on optimizing team- work skills and assessing the quality of Peer Evaluations.Dr. Matthew W. Ohland, Purdue University-Main Campus, West Lafayette (College of Engineering) Matthew W. Ohland is Professor of Engineering Education at Purdue University. He has degrees from Swarthmore College, Rensselaer Polytechnic Institute, and the University of Florida. His research on the longitudinal study of engineering students, team assignment, peer evaluation, and active and collaborative
); ethical in its conductand implications (Walther, Pawley, & Sochacka, 2015); as well as a carefully-planned researchdesign that responds to the research questions, whereby the generation of data enables theresearchers to make supported claims. Although rigor is bound up in all aspects of a study—fromits level of cultural responsiveness to communication with internal and external stakeholdersthroughout the research process—our definition of rigor is narrower than our definition ofquality. Specifically, we understand rigor to mean that a study’s claims and implications havebeen carefully supported with data, and that alternative explanations have been considered andaddressed throughout the research design.Validity and reliability have
-Marathondesign competitions to receive technical elective credit at the completion of three semesters atone credit hour per semester. The ME 199 option was and still is very popular, with currentlyover 100 students (approximately half the size of the graduating class) now enrolled persemester. By 2011, a plan was formulated to create a required hands-on design experience for allfour years. In that same year a hands-on design project was introduced in the freshmen levelComputer Aided Design course (ME 170) where the students design and then build a productusing a 3D printer. Hands-on design and build projects were subsequently introduced into thejunior level Design for Manufacturability (ME 350) and two junior level Mechanical Designcourses (ME 370 and
written by veterans; not necessarily the best paper about veteran issues. • Host veteran social/service events that also involve non-veterans. One idea that gained much support during the discussion was creating events that bring veterans and non- veterans together. Rather than planning a mixer, it was emphasized that these events be focused on community service because this provides an opportunity for these two populations to work together to achieve something purposeful. • Have an ASEE presence within service member transition programs (e.g., SEP/TAP). All service members attend a transition program prior to exiting the military. These programs are often supported by colleges and universities
. [8]; Ibarra [9]) and may includework-related and/or social relationships. Informal professional networks are essential for careerdevelopment and job effectiveness (Ibarra [9]). Rankin and Caccamise [10] have presented anintervention model to achieve equity in the STEM fields and have recommended some concreteaction plans to achieve the desired outcome in regard to reducing gender gap. Gallagher, et al. [6]used the intervention model to show that the number of female faculty in Geotechnical Engineeringin the entire United States increased from 8 in 1989 to about 80 in 2017, which is believed to beabout approximately 25% of the total number of Geotechnical Engineering faculty in the nation
running each of “our” two experiments. During these pre-lab meetingswe make sure the students have prepared well for their lab day focusing on 1) safety, 2) theefficacy of their experimental approach (which they design based on some minimumexperimental objectives, increasing in number and complexity as the weeks go on), and 3) theiranalysis plan. These pre-lab meetings are run in a Socratic manner where we ask questions toguide rather than give answers. We read and provide feedback on two drafts on Monday, go overthose commented drafts in meetings with students on Tuesday, then comment the Group B draftsthat same day for the Wednesday draft reviews. On top of this, professors attend two oralpresentations on Tuesday and two on Wednesday, providing
. 14 VEX competition path planning methods and analysis 15 VEX 2018~2019 Competition Field Set up and midterm 2 examination. 6 16 Public speaking and presentation skills workshop 17 VEX team roles, team structure, and organization. 18 Practice presentations of their current group robot progress. 7 19 Mathematics required in the VEX competition. 20 Group assignment and proposal of final project 21 Final project development 8 22 Final cumulative examination and final project development 23 Final project presentation and peer evaluations 24
EFFECTs for transportation disruptive technologies in CE and EEcourses. Table 3 shows the next phase of infusion will include courses in digital logic and digitalsignal processing. There are also plans to implement EFFECTs for introduction to transportation,environmental engineering, and computer architecture courses starting in the Fall 2019 semester.Summer training workshops will be held to support Phase 2 infusion. Workshop materials willbe revised based on lessons learned from the first three EFFECTs. It is anticipated that futureEFFECTs will benefit from utilization of the Autonomous Vehicles (AV) Learning Lab spacethat has been created at Benedict College. Table 2. Target Courses for Phase 2 Infusion of Transportation Disruptive
. Byxbe, "Community colleges under the microscope: An analysis of performance predictors for native and transfer students," Community College Review, vol. 28, no. 2, pp. 27-42, 2000.[2] R. Mullen and M. T. Eimers, "Understanding transfer success revisited: Transfer students—Who are they and how successful are they," in MidAIR Fall Conference, Earth City, MO. https://uminfopoint. umsystem. edu/media/fa/planning/degrees/understandingtransferstudents successrevisitedpaper. pdf, 2001.[3] L. S. Hagedorn, H. S. Moon, S. Cypers, W. E. Maxwell, and J. Lester, "Transfer between community colleges and 4-year colleges: The all-American game," Community College Journal of Research and Practice, vol. 30, no. 3, pp
as it is.This research is a first step in our analysis of student experiences and outcomes. We have begunby documenting the efforts made by our study institutions to help their Black students to besuccessful. We will continue to interview other key informants as appropriate on our studycampuses as the study progresses. We also plan to interview 80 Black students who are currentlymajoring in or have switched from ME and ECE majors on these campuses to learn if and howthese programs may have impacted them as well as what other factors they credit with theirremaining in or leaving these majors. Our quantitative study will build on the analyses in [1] and[2], among other studies, while focusing on Black students at our study sites. In particular
Paper ID #25003Joyce B. Main is Assistant Professor of Engineering Education at Purdue University. She holds a Ph.D. inLearning, Teaching, and Social Policy from Cornell University, and an Ed.M. in Administration, Planning,and Social Policy from the Harvard Graduate School of Education. c American Society for Engineering Education, 2019 Race, Veteran, and Engineering Identities among Black Male Student VeteransAbstractUsing interviews with seven Black Student Veterans in Engineering (BSVEs) at threepredominantly White institutions (PWIs), we explore how the identities of Black, Male, Veteran,and Engineering student are enacted during their undergraduate engineering experience. Weapproach this study informed by
using Neural Networks. It can be understood that thetrained neural network model takes irradiance as input and outputs the recommended topological configuration. Anexample use case is given in the bottom. Students will use the program for selecting the appropriate topology fordifferent irradiance conditions. All the exercises and learning modules are used in our DSP class. Portions of the training moduleshave also been used in our REU site program (Fig. 14) to train undergraduate students in sensors andmachine learning. We also plan use of our modules in an upcoming international research experiencesprogram at the University of Cyprus. Fig. 14. REU students and faculty at the SenSIP solar site. Students have been introduced through a module
teaching and learning”, 2000, pp.171-200.[28] E. Wenger, Communities of practice: Learning, meaning, and identity, Cambridge university press; Sep 1999.[29] A. Amin, “Ethnicity and the multicultural city: living with diversity”, Environment and planning A, 34(6):959-80, Jun 2002.[30] GA. Fine and LJ. Van den Scott, “Wispy communities: Transient gatherings and imagined micro-communities”, American Behavioral Scientist, 55(10):1319-35, Oct 2011.[31] SB. Merriam, Qualitative Research: a Guide to Design and Implementation, 2009.[32] N. Valanides, “Analysis of interview data using the constant comparative analysis method” In Using analytical frameworks for classroom research, Routledge, pp. 77-89.[33] C. Gilligan, “Strengthening
design of the VR teachingmodule to be more immersive and visualized. The current VR module is a semi self-paced tutorial.Concurrent research (Phase III) is being conducted to investigate how well students understand thequeuing theory concept using this updated VR teaching module versus traditional classroomlecture. Data is currently being collected using a different set of students with the same conceptualquiz but taught the topic in a traditional classroom manner (control group). Afterwards, we plan toprovide a comparative analysis of both approaches, control group versus experimental group anddisseminate the results.. The sections discussed below only reflects how well the students performusing the VR training module (experimental group
purpose of this second coding system was todevelop a simpler and more viable option to assess the sole construct of what engineers do. Itallows the participants conceptions of engineers to be coded into the following categories: Designer: Designing or improving objects or processes, usually portrayed by drawing plans or performing specific parts of the engineering design process, an implied client or public use is intended Technician: Computer or electronic technician portrayed by a person fixing something electronic Design/Create single: Hobbies, crafts, and designs for personal use or making one object for a specific person Tradesman: Carpenters, plumbers, welders, etc. where a person is fixing
engineering problems by comparing results from both application of models/physical principles and measurement data. 5. Students will apply basic teaming principles (such as the Tuckman’s Model) and team effectiveness practices while working with their teams. 6. Students will write a technical report and give an oral/multimedia presentation following [course name] technical communication guidelines which include formatting, explaining and justifying aspects of the project. 7. Students will construct detailed project plans using basic project management techniques (such as scheduling and budgeting) and methods (such as Gantt charts). 8. Students will self-evaluate their prototype design decisions and reflect on the
] "Grundfos SQFlex 60 SQF-3 Centrifugal Submersible Solar Pump," Northern Arizona Wind & Sun, 2018. [Online]. Available: https://www.solar-electric.com/grundfos-sqflex-60-sqf-3- solar-pump.html. [Accessed 18 April 2018].[25] M. Nasir, S. Iqbal and H. Khan, "Optimal Planning and Design of Low-Voltage Low-Power Solar DC Microgrids," IEEE Transactions on Power Systems, 2017.[26] Digi-Key Electronics, "Electronic Components," Digi-Key Electronics, 2018. [Online]. Available: https://www.digikey.com/products/en. [Accessed 16 April 2018].[27] J. P. O'Connor, Off Grid Solar: A handbook for Photovoltaics with Lead-Acid or Lithium- Ion batteries, CreateSpace, 2016.[28] K. Ardani, E. O'Shaughnessy, R. Fu, C. McClurg, J. Huneycutt, and R
processshortcomings, increase software quality, and aid in development planning [11], [19]. Studentconfidence can be increased by comparing their metrics to those published in the literature.Furthermore, the instructor gains insight from collecting metrics on the students’ softwareprocess. The instructor can observe the improvement in individual and class abilities, as well asacquire indicators of the relative complexity of homework and design assignments. Manysoftware measures in IEEE Std. 982.1 are obtained very naturally during the developmentprocess described in the previous section [3]. Throughout the design activities and the inspectionprocess, students are asked to record: Defects -- identified by author, design task, defect type, and severity
material that may have been prepared in previousyears, another investment of time and energy. These “energy bumps” become less severe as thesemester progresses and especially in subsequent years, but the additional upfront effort coulddiscourage some young faculty from implementing the new model. These concerns are partially,though not completely, alleviated by the new course structure proposed in the previousparagraph.Some tips for ease of implementation: 1. Plan ahead. The number one tip is to strategize and prepare in advance as much as possible. From choosing the software one feels more comfortable with to design the exams with, to having handouts prepared in advance (during previous semester or over the summer), to having
schoolopportunities), there are also plans to further improve the video content by adding interviewswith alumni on what companies are seeking in resumes, interviews, etc. and their own stories ofwhat made their employment searches successful. The goal is to add a level of credibility to thelessons by having the students hear messages from professionals in industry who graduated fromValparaiso University engineering programs, and to keep the ESSP content current byhighlighting hiring practices and networking software used in practice.9.0 SummaryThe College of Engineering at X University has developed the ESSP to help students develop thenecessary skills to find excellent jobs in their desired fields of study. The program consists ofstand-alone Blackboard
Methodology and Technology InnovationsDriven by the challenges and industry needs, we are developing new methodologies (i.e., big dataanalytics, risk analysis, DoE and AI) for end-to-end biomanufacturing risk management and real-time production process control, which can facilitate QbD, PAT, continuous and flexiblemanufacturing. Operations research (OR) typically focuses on finding the optimal design,planning and operational decisions for complex stochastic systems, such as integratedbiopharmaceutical manufacturing system. The OR methodology development forbiopharmaceutical supply chain is still in its infancy [7].State-of-the-art OR analytical models and methodologies for biopharmaceutical operations andsupply chain management have several key
designingmaterials with their end use in mind, all of the students built on the content they found interestingin class and some even claimed responsibility (e.g. “It is our duty as inventors/innovators to beproducing but also protecting our planet.”). One student in particular applied their learningsbeyond that of traditional materials to that of the software industry, communicating advancedapplication of this content: “I am planning on working in the software industry, and while a lot ofit is virtual, it made me think about creating software that works on multiple platforms andcreating systems that do not become obsolete so quickly but finding ways to make them work foras long as possible.”Final comments that students left only further emphasized the
- ducted research for Naval Reactors. He currently serves as the Walter L. Robb director of Engineering Leadership and as a Professor of Practice in SEDTAPP and Engineering Science at Penn State. Erdman has chaired the local Jaycees, Department of Social Services Advisory Council, GE Share Board, and Curling Club; and served on the Human Services Planning Council, United Way, Chamber of Commerce, and Capital Fund Drive Boards of Directors. Erdman has lectured on leadership topics at Penn State and RPI. He served as a recruiter (25 years) for GE and Lockheed Martin, on the Penn State College of Engi- neering Advisory Council, an Alumni Advisory Board, and as the President of the College of Engineering Alumni Society
human-like concepts, such as knowledge, belief, intention, and emotion21.With capacity for reasoning, planning, natural language processing and other human intelligenceabilities, intelligent agents have been deployed in many domains to assist human’s work.Education, where teachers and learners struggle to cover more material while meeting risingexpectations and standards, is a ripe arena for intelligent agents to have a large impact on thepractices therein. Following this, intelligent agents for education have been extensivelyresearched over the past three decades. Perhaps the most well established and populareducational platforms that use intelligent agents are intelligent tutoring systems (ITS, e.g.22-23).ITS are computer programs that
-2018.Role Model InterventionsSince research indicated that an important aspect of mentoring was providing inspiration [61],[23], program modifications aimed at providing more opportunities for female engineers to sharepersonal narratives were implemented. In 2016, role models demonstrating engineering-relatedactivities were added for approximately one hour during a STEM-focused public exposition priorto the main IIBI event, and in 2017, additional time (30 minutes total) was carved out of theevent schedule for networking with the role models during the planned activities. In 2017, arelated item was also added to the girls’ survey for cross-validation: “The role models inspiredme to consider a career in engineering or technology”.This need to
white andcontinuing generation students. In an education system predicated upon white, U.S., continuinggeneration students’ cultural norms, this can place FGC and URM students at a disadvantage.For instance, studies have demonstrated that FGC students “are less likely to utilize or have moredifficulty in recognizing university support resources because they have little practice in doingso” ([15], p. 823). Similarly, FGC and URM FGC students are less likely to receive assistance orsupport from family in college and career planning [16], [17]. Thus, they often lack family-related social capital important for choosing engineering as a major/career, especially if theirfamily members are not engineers. Educational norms of teaching and learning can
theindividual and social level and created both individually and socially and to find creative ways ofmerging data collection and analysis approaches. We plan to pursue this interdisciplinaryresearch agenda in future collaborations. References Cited[1] C. Cunningham, C. Lachapelle, and A. Lindgren-Streicher, "Assessing elementary school students’ conceptions of engineering and technology," in American Society of Engineering Education, Portland, OR, 2005.[2] C. Cunningham and C. Lachapelle, "Designing engineering experiences to engage all students," in Engineering in pre-college settings: Synthesizing research, policy, and
versusassumption of whether an engineer should be responsible, and plan pedagogical approaches forthe classroom.Theme 4a) Spectrum from technical-social dualism to sociotechnical integrationTechnical-social dualism is the left half of the horizontal axis in Figure 5, encompassing studentresponses in the second and third quadrants. This perspective includes student responses thatcleanly divide social dimensions of engineering problems from technical dimensions ofengineering problems, and/or students who state or imply that a clean divide is always possible.In addition to the characteristic quotes above, student quotes displaying a dualistic perspectiveinclude: “Technical considerations are the most important, than (sic) comes non technical” -F18
emerges from a completely external reward system. As one ofthe mentors pointed out to us, “Of course, you know college students they need money” (Mentor3, F18). That same mentor also explained that he would describe the afterschool program toother potential mentors as a way to give back to the community and added that “a plus is you geta little bit of money.” (Mentor 3, F18) Another mentor joked that he joined in part because thedirector of the program had told him the funding for the afterschool program would last fouryears. He quipped, I told [the director], as long as the money keeps coming in, you keep gettingthis grant, I’m going to be here. [Laughter] He told me, I remember he said in the intro, he waslike, “We’re planning for this to be