Simulation Trainings. Toanalyze students’ presentation skills improvement through the VR-activity, the authorsconducted peer evaluations for pre and post-activity presentations. Additionally, after the VRactivity, the authors conducted an exit survey, obtaining the students’ perception of theactivity. The data obtained from the different surveys and evaluations allowed the authors to(1) develop an ordered probit regression model to understand the influence of several factorssuch as academic level, gender, first-generation and international status; (2) identify themajor deficiencies in CM students' communication and presentation skills; and (3) assess theeffects of VR-based presentation simulations on CM students’ presentation skills. The
microcontroller-based systems. It also highlighted the areas that still needfurther attention by the instructors.1. IntroductionMechatronics is the synergistic integration of mechanical engineering with electronics andintelligent computer control in the design and manufacturing of industrial products andprocesses [1]. It integrates sensors, actuators, signal conditioning, power electronics, decisionand control algorithms, and computer hardware and software to manage complexity andcommunication in engineered systems. Mechatronics continues to play an increasing andexpanding role in modern industry and is instrumental in their attempts to apply automation toindustrial processes, and even in attempts to make the processes autonomous. Mechanicalengineering
enrollment in one of theseengineering programs through their fourth year of study. Currently in the final year of theproject, our study design included interviews and surveys in Year 1, a repeat surveyadministration in the students’ fifth semester (Year 3), and repeat surveys and interviews duringtheir eighth semester (Year 4). We have completed analyses of the initial and mid-point surveyresults and have preliminary results from the final survey administration. Our analyses of theinterview data include thematic coding of how students understand ethics both in general and inengineering specifically, primary learning outcomes and influences, and evidence of moraldisengagement.In this paper, we give a summary of our previously published work and the
students about challenging reflection experiences. The vignettes in Table I areinspired by such conversations with students as well as the larger context in which the studentexperiences might exist. These conversations provided practical motivation for this research. TABLE I. Vignettes used to illustrate the motivation for the research Vignette 1: Educator perspective. Having noticed that the grades on a recent exam were not what she had hoped, Dr. Jones assigned a reflection activity, called an exam wrapper, as a way to better understand the situation and help students do better on the next exam. The exam wrapper assignment asked students to think about (and share) how they prepared for the exam and identify strategies for next
not required to attend all milestones. However, the students met their TA in almost everyclass throughout the semester. A summary of these differences is provided in Table 1.Table 1: Summary of difference between two peer-mentor employment techniques studiedby this work. Technique 1 Technique 2 Peer-Mentor Not assigned to teams Assigned to 2 teams Responsibility: Number of Peer-Mentors 2 per class section 4 (3 peer-mentors, 1 TA-mentor) Provides project In-class Outside of class feedback: By
, andinternship opportunities, as well as social activities. More details about the camp can be found ina previously published article [7]. A full list of activities (all of which took place on campus) arepresented in Table 1, and some images from the camp appear in Figure 1. This camp is run atminimal cost, since reservations of classrooms and the recreation center, access to the challengecourse, and participation from Career Center staff are free to faculty at our institution. Campattendees receive an AIChE T-shirt, one year’s membership in the local AIChE student chapter,and lunch and snacks both days. These costs, as well as those of miscellaneous supplies, arelargely covered by the student fee, with overages subsidized by the AIChE student
differences in novelty and quality across students’ designs. This study also expandson current developments in methodology that has implications for expanding this study in orderto better relate students’ design experiences to their design ability.IntroductionEngineering students have a wide variety of educational experiences throughout theirundergraduate career within and outside of their required coursework. The goal of these variousengineering opportunities is to develop students into engineering professionals, that not onlysucceed but are also able to make a better, safer, more sustainable world [1]. There are essentialtopics in which students should become competent [2,3]. These key knowledge and skill areas areconsidered the most essential
differingexpectations of the position [1]. Therefore, the initial phases of this study focus solely upon thisposition as the starting benchmark.This paper explores historical aspects of the workforce skills gap in the area of computer securitywhile providing survey validation results from Phase I of this project. This pilot investigationinvited faculty (n=5; 24% response rate) who are both practitioners and academicians to supportthis examination and the acceptance of said framework. Demographic data includes acomparison between degree attainment and employment position, and asked respondents tocompare academic preparatory tasks to that of required job market skills - those skills collectedfrom the literature and employment position descriptions taken from
project. She was selected as a National Academy of Education / Spencer Post- doctoral Fellow and a 2018 NSF CAREER awardee in engineering education research. Dr. Svihla studies learning in authentic, real world conditions; this includes a two-strand research program focused on (1) authentic assessment, often aided by interactive technology, and (2) design learning, in which she studies engineers designing devices, scientists designing investigations, teachers designing learning experiences and students designing to learn.Ms. Madalyn Wilson-Fetrow, University of New MexicoDr. Yan Chen, University of New Mexico Yan Chen is a Postdoctoral Fellow in the Departments of Chemical AND Biological Engineering at the University
and Mechanical EngineeringAbstractAs part of the Mechanical and Aerospace Engineering curriculum, Embry-Riddle AeronauticalUniversity (Prescott, AZ) has developed a combined lecture / laboratory (lab) course to givestudents an introduction to the fundamental principles of instrumentation and tools necessary toperform measurements while reducing the data obtained. This Measurements andInstrumentation course will provide essential knowledge and skills that students can use forcomplimentary engineering lab courses such as Thermal Fluid Sciences [1], Experimental SpaceSystems, and Experimental Aerodynamics as well as during their yearlong capstone course andnumerous student clubs / research activities.Topics covered in this course are measurement
in Progress: Gamification and the use of “FPS” or first-person shooting/*seeding* perspective in a laboratory courseThis Work-In-Progress paper describes the use of gamification elements for the CellularEngineering Laboratory course at the University of Florida. Gamification has been emerging as apedagogical tool over the past few years, for its perceived ability to motivate participants intodesired courses of action by making mandatory or mundane tasks rewarding in some way [1].The application of game design elements in non-gaming environments has been considered as amechanism to increase motivation, engagement, and attainment of course outcomes [2], [3].Several common game design elements include Points, Badges, Leader Boards
Education, 2020Gaming Spatial Skill Development: Building STEM Pathways with the Use of the Minecraft Gaming Platform (Work in Progress)IntroductionThe ability to make spatial judgments and visualize objects in space has been found to be anindicator of students’ future achievement in STEM [1-3]. Moreover, spatial intelligence has alsobeen shown to be one of the only cognitive areas in which boys outperform girls, and thesedifferences tend to emerge most often in the middle school years [4]. There are many theories toexplain how adolescents develop spatial skills, but research indicates that one promisingapproach is engaging in a 3D environment [5-8]. Therefore, better understanding how best tobuild K-12 learners’ spatial
something like their aging parents. Adults have greater responsibilities by virtue of their seniority.Given the intent of administrative organizations to serve this adult andragogical population, it isimperative as providers of these educational services we understand the seminal experiences,both good and bad, applicable to each generational cohort participating in our many programs.This becomes especially true when a new generational cohort emerges as primary learners andparticipants.Cultural Similarities and Differences of Gen Y and Gen ZIn a 2018 report by the Brookings Metropolitan Policy Program [1], the authors describe in greatdetail the changing face of racial/ethnic demographics in the U.S. They compare the millennialgeneration and
American Society for Engineering Education, 2020Gender Differences in Gifted Elementary Students’ Decision-Makingabout Renewable Energy: Social Relationships, Values, and Authority (RTP)AbstractThis study examines how gender affected gifted elementary students’ engineering-basedargumentative practices and decision-making processes as they selected renewable energy sourcesto support South Korea’s future. Twenty-one gifted elementary science students participated infour steps of the Jigsaw group discussion process: 1) single-gender group discussion beforeinformation was given, 2) single-gender group discussion after information was given, 3) mixed-gender group discussion as a format of expert group discussion, and 4) original single-gendergroup
support tool hosted by our institution and is approvedby our Institutional Review Board (IRB) [HUM# 00135376]. The data set is from two semestersof a team-based, project-based introductory engineering course with a total of 118 studentresponses analyzed (N = 118).Introduction and MotivationThere are many examples in the engineering education literature of teamwork being particularlyfraught for women. Specifically, women sometimes end up completing less technical work andmore project management work [1, 2, 3]; they are sometimes spoken over in conversations [4, 5];and they are sometimes evaluated by themselves and their peers according to different standardsthan their peers who are men [6, 7, 8, 9]. All these examples led us to examine how
questions.Demographic questions included academic standing, age, earnings, and college expenses.Questions referring to education and career choices are detailed in Table 1. In 2019, the researchersadded to the survey a set of exploratory questions around gender bias and stereotyping (refer toTable 2).Data CollectionThe 1935 and 2019 data were examined and compared by the research team. The first datacollection was in 1935 by Amelia Earhart at Purdue University, and the second data collection wasat the same institution in 2019 by the Women in Engineering Program (WIEP). The 1935 data werecollected using paper copies of the questionnaire and the 2019 data collected via Qualtrics, anon-line surveying tool.ParticipantsThe Earhart data set was collected in 1935
fromtheir instructors were less likely to persist in engineering and that discrimination from peers wasmore prevalent for women than for men. Focusing on those predictors of Intentional Persistence,our study calls for efforts to correct the under-representation of women in ML/AI.Introduction Machine learning and artificial intelligence (ML/AI) technology has enormous potentialto impact the world around us. The creators of ML/AI technology wield the power to influencethe resulting effects on the users, either positively or negatively and they are in greater demand,now more than ever [1]. In ML/AI solutions, there is a seemingly intelligent agent between thedeveloper and the end user that makes decisions affecting the output. This model
problems to be both motivating and instructionally effective. This redesigned approachto the FE review course has been used in consecutive semesters, with encouraging results, and iscurrently being incorporated in other engineering and computer science courses.1. IntroductionThe administration of the Fundamentals of Engineering exam transitioned from paper-based tocomputer-based testing (CBT) in January 2014. In the Department of Mechanical Engineering atthe University of Idaho, previous to the transition to CBT, we offered an FE review coursegeared towards the paper-based exam, which finished the week before the exam was offered.After the switch to the CBT, we continued to offer the FE review course in this format. Wefound that the student pass
in the spring semester of 2019.The campus-wide collection cancellation project makes us rethink current practices for collectionmanagement, especially the pruning practice which is primarily based on the cost-per-use model.According to Kendrick, the cost-per-use model fails to account for variability of the usage pattern,consequently overvaluing journal subscriptions [1]. Beyond the limitation of the cost-per-use model,there are four main challenges around collection management. First, we engineering librarians havemany responsibilities besides collection management including instruction, reference, public servicesand outreach. Second, we spend increasing expenditures on “big deal” journal packages to which ourlibraries subscribe and have
. Wewill also compare relevant exam question responses and online concept question results,including common themes present or absent in student reasoning.IntroductionWe don’t pay attention to boring things. Stimulate more of the senses. We are powerful andnatural explorers. These are just a few of the dozen statements describing how our brains workin John Medina’s book “Brain Rules” [1]. These also provide insight into the fundamentalreasons for our Integral Calculus reforms developed over the last year.We don’t pay attention to boring things. Math courses are notorious for being boring, lecture-heavy periods of time that are unavoidable since they are necessary for earning a degree. Overthe years, several interventions have described ways to
contribute andsucceed in the global competitive economic environment. As a result, this requires qualityscience, technology, engineering and mathematics (STEM) education. However, insufficientnumbers of American students pursue education and training in the STEM fields. After noticingthis challenge, STEM has become a great effort by many to increase STEM-related activities,which have the potential to promote collaborative learning and inquiry as well as to contribute tothe development of the 21st century skills [1]. The US government initiated the “Educate toInnovate” program to increase student participation in all STEM-related activities. The long-termobjective of these activities is to encourage more young women to choose an education in theSTEM
for Engineering Education, 2020 Global Business Management Education to Industry Professionals: A Decade of Experiences from a Professional Graduate ProgramAbstract This paper outlines ten years of experience in designing, teaching, planning, andexecuting a graduate class on global distribution for working professionals in a professionalgraduate program. The course involves a one-week international trip. The paper outlines theimmersive learning experiences such as (1) applied content (2) live case studies with companiesin a foreign location (3) one-week trip to a foreign location (4) executive panel discussions, and(5) industry experiences through videos, interviews, and podcasts
engineeringprograms. A recent study at a large public institution in the West found that 38% of engineeringstudents who responded to a mental health survey (n~700) screened as high risk of seriousmental illness. When broken down by major, 25% of the materials engineering studentrespondents were at high risk, and 28% of the mechanical engineering student respondents wereat high risk, compared to 38% for the overall engineering population. To address this problem,we designed a study to understand the mental wellness goals important to materials engineeringand mechanical engineering students. This study sought to answer the following questions: 1)what types of goals, related to mental well-being, are important to materials engineering andmechanical engineering
Assessment MethodsThe course, MECHENG 402: Thermo-Fluid Engineering, is a second-semester course onThermodynamics taken as an elective course by many students in the Mechanical EngineeringDepartment at UWM. Table 1 contains a summary of the course topics currently in the course,and an indication of the topical coverage of the three exams. Material covered on one of the twomid-term exams is not repeated on the final exam. For example, there are 6 differentThermodynamic cycles covered in the course: the Rankine Cycle with modifications, theBrayton Cycle with modifications, the Otto Cycle, the Diesel Cycle, the Vapor-CompressionRefrigeration Cycle, and the Reversed Brayton Refrigeration Cycle. The first exam containsproblems on three of these cycles
students over what theylearn and how, while also decreasing time spent on higher quality evaluation. Specifications grading, an evolution of contract grading [1], is a novel grading approachintroduced by Nilson [2] designed to help motivate students to focus on learning rather thanfeeling the need to obsessively count points. In a specifications grading approach, facultyprovide clear specifications of what is required to earn a given grade in the class. Rather thanbasing grades on point totals or a weighting system, students are given the option to completespecific assignments or bundles of assignments that link to a specified grade. Each assignment isgraded on a pass/fail basis where passing is typically defined as B or B+ level work
into two concentrations: Engineering Technology and EntrepreneurialLeadership. Over the last few years, the graduate program has seen significant growth. Studentenrollment grew from 28 in Fall 2013 to 56 in Fall 2017. As such, number of degree awardeesalso increased with an average of 15 degrees conferred in each academic year. Table 1 showsMS in Engineering Technology enrollment data and degrees conferred in the last five years. Table 1: MS in Engineering Technology Enrollment and Degree Conferred Enrollment Degree Conferred Term Headcount Term Headcount Academic Year Degrees Awarded Fall 2013 28 Spring 2014 26 2013
fellow in Immunology at Vanderbilt University, Nashville, Tenn. She sub- sequently worked for four years as a Senior Research Specialist at the Vanderbilt Cell Imaging Re- source (CISR) microscope facility before joining the Institute of Biomaterials and Biomedical Engineer- ing (IBBME), University of Toronto as an Assistant Professor. She is currently the Associate Director, Undergraduate Programs at IBBME as well as the Associate Chair, Years 1 & 2 in the Division of Engi- neering Science. She serves as faculty supervisor for the Discovery initiative and is program co-director for the Igniting Youth Curiosity in STEM Program. Dawn was a 2017 Early Career Teaching Award recipient at U of T and was named the 2016
University of Notre Dame. He holds a Ph.D. degree in computer and information science from The Ohio State University. Dr. Wang’s research interests include scientific visualization, visual analytics, visualization in education, user interface and interaction, and high-performance visualization. c American Society for Engineering Education, 2020 GraphVisual: Design and Evaluation of a Web-Based Visualization Tool for Teaching and Learning Graph Visualization Martin Imre1 , Wenqing Chang2 , Shuzhan Wang3 , Christine Trinter1 , Chaoli Wang1 1 University of Notre Dame, 2 Xi’an Jiaotong University, 3 Beijing University of Posts and TelecommunicationsAbstractGraphs are
targeted emphasis on asynchronous global outreach is expected to realizechallenges, as well as opportunities not previously experienced.A Twenty-Year Historical Account [1]What follows is an historical context for the Purdue University Center for Professional Studies inTechnology and Applied Research (ProSTAR). The purpose of this section is to provide aframework to better understand the evolution of ProSTAR administered programs and deliverymediums.Phase IOn June 11, 1998, the Purdue University College of Technology (COT) initiated the process forUniversity, and subsequently, Indiana Commission for Higher Education, approval of a non-traditional delivery medium, fee-based weekend alternative to Purdue traditional on-campustuition-based Master of
, or may want to group students based on out-of-class worktime availability.A robust body of literature is devoted to the benefits of intentional team formation, forexample [1] – [4].For relatively simple definitions of “optimal,” the problem of finding an optimalpartitioning of students into teams can be fairly quick for an instructor to solve by hand. Asan example, if the instructor only wishes to ensure that a section of 16 students ispartitioned into 4 teams of equal size and with each team having maximally homogeneousstudent majors, then the instructor can quickly find sets of 4 students that have the samemajor, followed by sets of 4 students with 2 majors represented, etc. On the other hand,this optimization problem quickly gets to be