authors of this paper propose a new academic advising model that assignsstudents to both a professional academic adviser and a faculty adviser, capitalizing equally andmore effectively on the strengths and skillsets of both. Currently in a pilot phase involving twoacademic departments, this model will continue to be refined from lessons learned in the pilot,and ultimately rolled out across all departments in the College of Engineering.Purpose of Academic AdvisingAcademic advisers play a significant role in student success in college [1]. Just as innovations inteaching and classroom pedagogy are considered to enhance student learning, so must the designof intentional educational interventions such as academic advising. Advisers are one thread in
, the group gathersand discusses how it was to experience playing the game as related to certain themes inteaching. Table 1: The seven games played and the teaching theme to be discussed Game Teaching Theme Quoridor - Technical Vocabulary [3] - Filtering Learning Objectives [13] Whist - Technical Vocabulary - Working in groups [14, 15] and competition [16, 17] The Crew - Working with groups and cooperation Barnga [18] - The cultural unwritten rules of the classroom [19] Dominion - Managing and experiencing complex systems - Inverted classroom [20] Castles of Tuscany - Increasing
, Dartmouth College Petra Bonfert-Taylor is the Associate Dean for Diversity and Inclusion and a Professor and Instructional Designer at the Thayer School of Engineering at Dartmouth College. She received her Ph.D. in Math- ematics (summa cum laude) from Technical University of Berlin (Germany) in 1996 and subsequently spent three years as a postdoctoral fellow at the University of Michigan before accepting a tenure-track position in the Mathematics Department at Wesleyan University. She left Wesleyan as a tenured full pro- fessor in 2015 for her current position at Dartmouth College. Petra has published extensively and lectured widely to national and international audiences. Her work has been recognized by the National
column. In Sequence 5, we apply a compressive force onto the slender column. InSequence 6, we show a general equation for the Euler buckling. In Sequences 7 to 11, we showthe buckling of pinned-pinned column, fixed-free column, fixed-fixed column, fixed-pinnedcolumn, and fixed-guided column, respectively. The visualization video loops until the usersclick the “stop” button. The users will enter the VL environment to conduct the virtualexperiment (Sequence 12).By the time we started developing the visualization for Lab 5 (Figure 7) after Labs 1–4, we hadsome Unity models that we had created as a part of Labs 1–4. Thus, we used the screenshots ofthe Unity models (e.g., an overall view of aircraft) to start the conceptual sketches for Labs 5 and6
and detailed design, thenmaterial ‘ordering’ and the start of the Build Phase. Next, the second day consisted ofbuilding in the morning, then load testing and presentations in the afternoon. Faculty, staff,and graduate student volunteers facilitated critique sessions after each of the two designphases; the volunteers also acted as the judges on the review panels during final testing andpresentations. Figure 1: In-person AE Design Days event structure [1].Overall, the event was motivated by an inductive learning pedagogical approach. Prince andFelder (2006) stated that inductive learning is better than the traditional deductive learningexperience, with the example given being the use of capstone design projects in
rubrics included four competency levels: beginner, developing,competent, and proficient. The courses, all within Electrical and Computer Engineering, includetwo junior programming courses and a specialized junior-level technical elective. As part of thenew course models, the students were allowed to resubmit their work as often as necessary toachieve an assessment of competency or proficiency. Students could not pass the courses withoutachieving at least competency in each level, and their letter grade was determined by how manytopics in which they achieved proficiency. Thus, it forced students to revisit their quizzes, exams,and assignments and resubmit (and improve) work until they reached a satisfactory assessmentlevel.In this work, we will
own their own mobile studio platform. Accessibility: Allows students to carry out measurements anywhere, anytime, and for unique integrations of measurements into in-class exercises, homework, and laboratory experiments. Experiential Learning: Engages all students with hands-on, individualized measurement experiences that can extend beyond the confines of a traditional lab session. Inclusivity: Students can work at their own pace since they are no longer bound to rigid laboratory session hours. Students can gain practice without fear of making mistakes in front of peers. Students can also make use of assistive technology tools [1] on their computer when taking measurements, particularly
their design work, thispaper examines two interdependent polarity pairs (hereby polarities): (1) Design Rigour and CostEffectiveness; and (2) Collaboration and Efficiency.Grounded theory methodology [5] is well-suited to generating or advancing theory based onempirical data, instead of being limited to imposing an existing theory onto the data. Rigorouscoding procedures are applied to the qualitative data, to develop categories, identify causalrelations, and find counter-evidences. The emerging theory keeps at its centre the designers’actions and interactions that respond to a particular phenomenon (e.g. sociotechnicalcomplexity of the design problem), and allows for variations in the data by explaining therelationship between mediating factors
course is generally more participatory inclass and motivated to invest the time and energy to do well on assignments and assessments.Additionally, effective learning and retention of fundamental concepts is essential to developingthe depth of knowledge required when critically applying the material beyond the classroom [1].Enabling effective learning in the classroom is not a simple task. Many factors must beconsidered when developing an approach, such as the student population being taught. In a singleclassroom, each student is unique in how they receive and process information based on factorssuch as preferred learning style, personal experience, competence in fundamental concepts, andindividual motivation [1]. Such considerations necessitate
Electrical Vehicle Charging Stations’ Placement Renewable Energy, 1 in Texas and Their Potential Use of Solar Energy GIS Use Data Science and Machine Learning to Better Data Science, 2 Understand COVID-19 Machine Learning Renewable Energy, 3 Renewable Energy Generation Estimation Tool Data Science Development of An Air-Powered “Sheet” Actuator based Mechanical Eng., 4 on Engineering Origami Principles Design, 3D Printing
first-generation college students (n = 108, 70%) or non-traditional collegestudents (n = 113, 73%). Most women in this study were either first and second year (n = 35,25%), or third year or greater (n = 88, 57%), undergraduate students. The most commonengineering concentrations representing these participants were environmental engineering (n =29, 19%) and computer/electrical/electronics engineering (n = 23, 15%).Table 1: Demographic characteristics of participantsDemographic n %Age18-29 121 7930-39 14
different settings. The latterincluded researchers in academia, industry and government; teachers, professors and lecturers inK-12, undergraduate-only and R-1 institutions; freelancers, entrepreneurs and managers workingin their own, startup and larger companies; scientists working in technical support and technicalsales; as well as scientists and engineers with experience working in nonprofits, government andscience policy, or in art, media and entertainment. In addition, practical career tools and skills forSTEM professionals were discussed in several breakout sessions. Finally, the symposium endedwith a panel discussion comprising four diverse and accomplished recent Ph.D. graduates, whodiscussed mental health and communication issues prior to
negatively affected bythe COVID-19 pandemic.Introduction As of late March 2020, in response to the Coronavirus Disease 2019 (COVID-19)pandemic, hundreds of colleges and universities in the United States (and across the globe)suspended face-to-face classes, closed campuses, and only allowed essential activities and corefacilities to continue. The pandemic disrupted engineering graduate students’ regular learningroutines, which typically include in-person laboratory research and mentoring activities. As aresult, engineering students during the COVID-19 pandemic may particularly experiencechallenges to their academic progress, career preparation, financial security, and physical/mentalhealth [1]–[6]. During school closures, faculty were
cross-section of languages and tools. The team size varied because the teamswere formed in a previous semester, and the capstone project is completed over two semesters (falland spring). It should be noted that the group project implementation was interleaved with testingin CEN4072 as shown in Figure 1. The group project percentage weight in the overall grade was10% and 40% in 2017 and 2019, respectively. In 2017, the relatively small weighting was usedsince this was the first year the capstone projects were being integrated into the software testingcourse. There were many unknowns about how successful this integration would be.Every project consisted of four general deliverables that each team was expected to submit atdifferent points during
Assistant Professor in the Department of Industrial and Operations Engineering and an Engineering Education Faculty Member at the University of Michigan–Ann Arbor. Dr. Mondisa holds a PhD in Engineering Education, an MS in Industrial Engineering, an MBA, and a BS in General Engineering. She researches STEM mentoring experiences and mentoring intervention programs in higher education. American c Society for Engineering Education, 2021 Using Photovoice to Examine the Mental Health Experiences of Engineering Graduate Students during COVID-19 (Work in Progress)AbstractMental health service utilization and reported mental
Institute 30 Years of service with the US Army. Retired as COL. 37 Years of services with the Federal Gover- ment. Retired as a Senior Excutive. Sevred as a sytems enginner. Focued on special operations and counterterrorism. Currently teaching Electrical Enginerring at VMI. American c Society for Engineering Education, 2020 Pedagogical Effectiveness of Continuous vs. Discrete User Interaction with Computer Demonstrations (Work In Progress)BackgroundComputer demonstrations and simulations are well-researched tools for teaching; resources suchas The Guide to Simulation Games for Education and Training have existed for half a century [1]and numerous
construction safety game. This testing isconducted with and for university students taking Construction Safety.BackgroundOne of the main struggles in construction is how to mitigate risk; risk to the public, workers on-site, the state of the project, and the company itself. All of these components must be negotiatedin the complex building process. The General Contractor assumes this responsibility and appliesexperience and best practices to achieve success. Safety being a major threat to this success, thisstudy will tunnel down into these best practices and approach them through the lens of fallprevention safety training, adult learning principles, worker’s motivation and competitiveness,and the application of augmented and virtual reality (AR/VR
much before and… I now feel more confident tackling topics of social justice.” “This was a very stimulating course in that it raised questions I've never had the opportunity to discuss in an academic setting before.” “I enjoyed taking a break from the technical aspects of my other engineering courses to take a higher level look at engineering and how it impacts society.”ConclusionIn this work-in-progress paper, we describe the design, implementation, and impact of anovel curriculum that explores social justice in the context of science and engineering.We examined the impact of the first offering of “Science and Engineering for SocialJustice” by analyzing 1) student perceptions of social justice before and
material, students often times do not spend an adequate amount of time outside ofclass reviewing the material. This lack of perquisite knowledge leads them to start learning newmaterial on a weak foundation. As the semester progresses and the material builds, these studentsare more likely to fall further behind, which can place them in jeopardy of failing the class.This project seeks to improve students' recall and mastery of prerequisite knowledge andultimately decrease failure rates, by creating an accessible library of short videos on various MEprerequisite topics. The review videos are currently being implemented in 3 ME courses (1required undergraduate course, 1 undergraduate technical elective, and 1 graduate level course)in Spring 2019 at
Paper ID #18619Thinking and Understanding from WritingProf. Yumin Zhang, Southeast Missouri State University Yumin Zhang is an associate professor in the Department of Physics and Engineering Physics, Southeast Missouri State University. His academic career started in China; in 1989 he obtained master’s degree on Physics from Zhejiang University and then was employed as technical staff in the Institute of Semi- conductors, Chinese Academy of Sciences. After receiving PhD degree on Electrical Engineering from University of Minnesota in 2000, he started to work as a faculty member in University of Wisconsin- Platteville
Process-Centered Approach for Systems Engineering EducationKeywords Systems Engineering Education, Systems Engineering Standards, Competency Mod- els, System Life Cycle Model, Project Based Learning.IntroductionTime has gone when industrial companies recruited their employees only based on a fine techni-cal background. Nowadays, these companies deal with complex and multidisciplinary systems,and their mastering requires much more than mere technical excellence. Today’s engineers needto be good team workers, adept communicators, and lifelong learners [1]. In addition to produc-ing the expected client outcomes, a major engineering project has to satisfy various stakeholderswhile ensuring an optimization of time, cost, energy and
computer usage allowed by the student, unlimited computerusage by the student, and usage where the tablet is limited to being kept on the desktop.This study analyzed just one course in one single academic term taught the same waywith the same materials and rubrics in different sections, but using the three variedcomputer modes just outlined as comparisons. The study found that student academicachievement was better in the mode when technology was not allowed in the classroom.The above referenced study took place at West Point. However, West Point is not like atraditional college campus, and some might even call it unique. As such, some may saythat the findings of the West Point/MIT study might not apply to the generalized collegeenvironment
course goals for each course are listed as follows and Figure 1 showsthe schematic of learning outcomes from the course organization.Foundations of Engineering I -Course Goals: 1. Describe the engineering disciplines at asouthwesterninstitutionand the interrelationships among them as well as know what graduates of at least three disciplines of engineering do. 2. Individually, or as a member of a technical team, understand and apply a structured engineering problem solving using a design process. 3. Develop algorithmic thinking by implementing simple algorithmic forms of engineering models/problems using MATLAB. 4. Communicate technical information via written, oral, and visual communication tools. 5. Recognize
included: teamwork, formal brainstorming, project charters,work breakdown structures, project scheduling, flowcharting, success metrics, technical writing,and technical presentations. These topics represented approximately 46% of the total coursehomework assignments. Stated differently, students were able to apply almost half of the contentdirectly to the semester service projects.Unfortunately, a technical difficulty with administration of the student surveys for the onlinecourse rendered them invalid for the fall semester. Low survey response rates generally make itdifficult to extrapolate student experiences in online classes, therefore it’s not certain that aconclusion would have been evident in either case. Overall course indicators for the
its equipment. Alsostressed was setting up the cost analysis so all inputs were identified and entered once and onlyonce to enable the student to revise the analysis as new information was discovered withoutsearching through each calculation to change the inputs.The third step was to generate a time-cost profile for removing and replacing the street lightheads. Two situations were considered, 1) replacing the existing street light heads with similarsodium vapor heads and 2) replacing the existing street light heads with LED heads. Theconcept of fitting the remove and replace schedule into the annual budget of the city wasdiscussed and investigated to see the effect on the city-wide project if removal and replacementwas limited to the expected
findings from a multisite case study leveraging 3D printing for two underrepresentedpopulations in STEM learning: young adults with intellectual disabilities and minority studentsfrom low-income and/or non-native English-speaking families. We found benefits and barriers tolearning 3D modeling and 3D printing skills at both sites. In this paper, we offer our lessonslearned from our case study (RQ1), identify general issues relevant to teaching 3D modeling andprinting (RQ 2), and describe issues that are unique to the underrepresented populations at eachof our investigation sites (RQ3). Our findings suggest that while some technical challenges arespecific to the medium of 3D printing, teaching these tools offered students opportunities toimprove
the distribution of the percentage ofunique students watching each lecture as well as the distribution of the average minutes viewedper online lecture for Fall 2016 semester.Figure 5. Distributions of percentage of unique students watching the lectures and averageminutes watched per online lecture for Fall 2016 semester.As one can see from the figure, both distributions are heavily skewed on the low end indicatingthat in general a lecture is watched by ~10-20% of the class for an average of ~5 minutes (whereeach lecture is around 1 hour). These observations suggest that students watch lectures in shortintervals focusing specifically on parts of the lecture where they had issues understanding.Furthermore, some lectures with conceptually more
, Undergraduate research experiences support science careerdecisions and active learning, 2007; Pender, Domingo, Maton, & Marcotte, 2010) with similarresults. Most studies focused on a general undergraduate research program where participants aretypically Juniors and Seniors who completed basic course work and were engaged in upper-levelcourse work in the undergraduate curriculum. Little is known about the effects of summerexploratory / research work for lower-level undergraduate students.California State University, Bakersfield (CSUB) holds designations as both a HSI and MSI. Inyear 2014, the university received a grant from the U.S. Department of Education MinorityScience and Engineering Improvement Program (MSEIP). One activity sponsored under
tone of the reform and interactions among the parties involved. A summary of thistimeline is presented in Table 1. We also gathered information and analyzed the composition ofeach committee during each academic year of the promotion reform process: the number ofmembers by gender, rank, and type of appointment (tenure-track or non-tenure track). Thesedemographic dimensions reflect underlying power differentials among institutional members andmay also reflect a variety of professional interests and strengths.Step 2. Inductively generating categories and micro-processes. We then analyzed our casestudy data to identify key categories of action and interaction within the reform process. We paidclose attention to how these actions and interactions
Statistics predicts growth of 13.4% from2014 to 2024 in jobs for STEM-related post-secondary teachers [1]. Women are a growingpercentage of PhDs in STEM but are not proportionately represented among assistant professors[2]; to support this employment growth it will likely be necessary to attract more women to thefaculty. Of even more significance is that STEM faculty play a critical double role in the healthand gender make-up of the future STEM workforce. Research shows that role models have animportant impact on career pathway decisions made by women engineering students [3]. Mostengineers are first exposed to the profession through their STEM faculty, so if this group is notdiverse, or if diverse workers (such as women) are perceived to be