heavily toSTEM students because they were co-organized by the STEM Librarian, ASEE@SU, and theECS-GSO, all graduate students were invited to attend.The first event, Speed Dating the Research Experts, took place on February 1, 2018. It wasdesigned to be the kick-off event for a series of follow-up research roundtables that were smallerand took a deeper dive into specific topics. The Research Speed Dating event, as the nameimplies, followed a speed dating-style format. In order to facilitate the rotation of a large groupover the span of 2 hours, participants were assigned to small groups of around 5 people, witheach group having 7 minutes to meet with an individual from the Libraries who specialized in aspecific topic: starting a research project
be interactive. Questions for the students are listedwith a “Q” symbol. Comments or further lines of questioning are marked with bullets. Theinstructor will lead the activity throughout, announcing each step and making sure that all groupshave completed the step before proceeding with the next step. Project, show on a large posterGEEOrganization 2018: Autonomous Vehicles Activity on Event Day 1(a) Example Slide for Interactive Lecture (b) Room Ready for Activity Figure 3: Autonomous Vehicles Activity Setup (a) Pink Group Performing Activity (b) Purple Group Performing Activity
Picture This work is part of a larger project which spans multiple subjects and seeks to broadenunderstanding of STEM topics. This approach is meant to help both teachers and students,allowing for more innovative teaching and enhanced comprehension-based learning. The projectrecognizes that students learn in diverse ways, and attempts to appeal to those who learn bestthrough visual, intuitive, and engaging methods. It draws upon real-life experiences, as well asvarious STEM/STEAM examples and activities, and targets both an understanding andappreciation of basic concepts in STEM, including Physics/Mechanics, Calculus, Statics, ControlSystems, Digital Signal Processing (DSP), Probability, Estimation, and Computer Algorithms.The material can
theirengineering first-year students with a focus on increasing retention. The authors also wouldintroduce some early appreciation to engineering design, the building of models, prototypetesting, and actual implementation of a product/process to first-year students. An innovative wayof illustrating Senior Capstone projects targeted on solving real-world water problems andenvironmental issues will be attempted.AcknowledgmentThe PI and Co-PIs want to thank the National Science Foundation - Division Of UndergraduateEducation for the grant Undergraduate Scholarships for Excellent Education in EnvironmentalEngineering and Water Resources Management (USE4WRM) (Award #1565049) for thefinancial support that could help enhance the recruitment and the retention in
University of Alabama. She has experi- ence working with many industries such as automotive, chemical distribution etc. on transportation and operations management projects. She works extensively with food banks and food pantries on supply chain management and logistics focused initiatives. Her graduate and undergraduate students are integral part of her service-learning based logistics classes. She teaches courses in strategic relationships among industrial distributors and distribution logistics. Her recent research focuses on engineering education and learning sciences with a focus on how to engage students better to prepare their minds for the future. Her other research interests include empirical studies to
. Acknowledgement Cognition and Instruction 18, 495-523 (2000).Many thanks to all of the students who willingly and 12 Prince, M. J. & Felder, R. M. Inductive teaching andenthusiastically participated in this study, who motivate us all learning methods: Definitions, comparisons, and researchto be better teachers and researchers. Special thanks to course bases. Journal of engineering education 95, 123-138Learning Assistant Elissa Barone (UT Austin) for her support (2006).of this project, and statistical consulting provided by the UT 13 Lane, E. S. & Harris, S. E. A new tool for measuring student behavioral
Professor of Biological and Agricultural Engineering at University of California, Davis. Dr. VanderGheynst’s research focuses on next generation biofuels and bioproducts and agricultural biotechnology. Current projects examine the management of microbial communities in applications in- cluding water treatment, food and energy production, and soil treatment for the control of pests and pathogens. Dr. VanderGheynst received her BS degree from Syracuse University in Chemical Engineer- ing in 1991 and PhD degree in Agricultural and Biological Engineering from Cornell University in 1997.Kara Moloney Ph.D., University of California, Davis c American Society for Engineering Education, 2019 Student
T. L. O’kuma, E & M TIPERs. Upper Saddle River, NJ: Pearson Education, 2006.[28] G. Zavala, “The Design of Activities Based on Cognitive Scaffolding to Teach Physics,” in Upgrading Physics Education to Meet the Needs of Society, M. Pietrocola, Ed. Switzerland AG: Springer International Publishing, 2019, pp. 169–179.[29] S. B. McKagan et al., “Developing and Researching PhET simulations for Teaching Quantum Mechanics,” Am. J. Phys., vol. 76, no. 4, p. 406, 2008.[30] R. J. Beichner et al., “The student-centered activities for large enrollment undergraduate programs (SCALE-UP) project BT - Research-Based Reform of University Physics, Reviews in PER,” in Research-Based Reform of University Physics
relocate. The institution is near twomilitary installations and the VA Hospital is less than a mile away. However, the region isgrowing and the demand for engineers is healthy. Many employers look to the veterans for theirmilitary work experience and perhaps a current security clearance. Additionally, the veteran hasmaturity and other experiences unlike the traditional student. Advisors and program directorswho know the veteran student population can easily match them to companies who want a newteammate who is technically proficient and willing to work.Graduate School. Some student veterans do not stop at the undergraduate level. Several havecontinued or returned for a graduate degree in engineering or project management. Advisingveteran students
Pathways of Students Continuing in and Leaving Engineering,” in Proceedings of the 2010 American Society for Engineering Education Annual Conference & Exposition, Louisville, KY, 2010.[3] M. W. Ohland, A. G. Yuhasz, and B. L. Sill, “Identifying and removing a calculus prerequisite as a bottleneck in Clemson’s general engineering curriculum,” J. Eng. Educ., vol. 93, no. 3, pp. 253–257, 2004.[4] E. Litzler and J. T. N. Young, “Understanding the risk of attrition in undergraduate engineering: Results from the Project to Assess Climate in Engineering,” J. Eng. Educ., vol. 101, no. 2, pp. 319–345, 2012.[5] National Academy of Engineering, Educating the Engineer of 2020: Adapting Engineering
systems, systems thinking and complex system exploration, system of sys- tems, virtual reality and complex systems, systems simulation, risk, reliability and vulnerability in critical infrastructures with applications to diverse fields ranging from the military to industry. His publications appeared in several ranking journals including the IEEE Systems Journal, and the Computers & Industrial Engineering Journal. His total awarded projects exceed $ 4.2 M including National Science Foundation (NSF), Department of Defense (DOD), Industry, and other Research Laboratories.Dr. Michael Andre Hamilton, Mississippi State University Dr. Michael A. Hamilton is an Associate Director at Mississippi State Institute for System
largest number of in-depth interactions took place in the lobby of Tiernan Hall where theChemistry and Environmental Science and the Chemical and Materials Engineering departmentsare located. In the Campus Center we were able to hand out many promotional tickets to peoplewalking by but not many students or faculty stopped to ask questions or talk with us. Locationsin other academic buildings were not as successful either. In the more social study areas ofdepartment buildings, students were busy working on projects with others and not interested inus. Quiet study areas were the same. The change over of classes appeared to be a good time tobe in the department buildings, however, most students were in a hurry to or from class anddidn’t have time
graduate career was the concept of reflexivity.This reflexivity was represented in my methodological coursework as a tool to be used whileconducting qualitative research. As a means of checks and balances, this tool’s purported usebecame a way to navigate through qualitative research in a manner that acknowledged therelationship between the researcher as an instrument and the processing of information over thecourse of research projects [8]. This navigation can be conceptualized in practices such as fieldtexts and reflections before, after, and during interaction with research participants as a means toshow proof of consideration of positionality, specifically for communities of color [9]. This tool,however, seemed to be accepted as a one size
, Solutioncompletion and Solution accuracy. Each item in the revised PROCESS consists of four scalinglevels ranging from 0 to 3 with zero being the minimum attainable score for each item. Anyidentification regarding group identity was removed prior to scoring and replaced with a project-assigned ID number to maintain privacy and to mask group membership from raters. All students’solutions were scored using the PROCESS rubric after the semester. Thus, PROCESS scores donot reflect or have an effect on students’ course grades.Raters’ scores for a subset of student solutions were analyzed to determine how consistently ratersmeasured student problem solving ability. Traditional statistical (Cohen’s kappa) and itemresponse measures (Rasch many facet model) of inter
builds metacognitive processes into student learning through the pedagogicalapproach to the course, videos from the Skillful Learning Project (skillful-learning.org)incorporate metacognition into the courseexplicitly. Cunningham and his colleaguesdeveloped a metacognition framework throughresearch and interventions in their own courses.They shared their videos for our use in the course.Each video explains aspects of their metacognitionframework, which is divided into two components(see Figure 2): knowledge of cognition andregulation of cognition [3]. The videos, designedfor advanced students in engineering majors, useclever animations to present the informationvisually. “Joe” and “Sue” are hypothetical studentswho exemplify archetypal challenges
Paper ID #25513Reducing Difficulty Variance in Randomized AssessmentsParas Sud, University of Illinois, Urbana-Champaign Paras Sud led this work as his thesis project for his B.S. in Computer Science from the University of Illinois at Urbana-Champaign. He’s currently working in industry.Prof. Matthew West, University of Illinois, Urbana-Champaign Matthew West is an Associate Professor in the Department of Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign. Prior to joining Illinois he was on the faculties of the Department of Aeronautics and Astronautics at Stanford University and the
- ter resources engineering design and permitting. In addition to her corporate experience, Dr. Parks served as a Peace Corps Volunteer in Mali, West Africa, supporting a local Non-Governmental Organization on water sanitation projects. c American Society for Engineering Education, 2019 Classroom-based games for student learning and engagementAbstractIt is now generally accepted that active learning methods can help students learn material at adeeper level, and that students enjoy game-based learning. However, most game-based learningresearch has focused more on engagement benefits rather than learning, and many lackcomparison groups and details on procedures and assessment techniques. Research
applicationof the momentum theory as well as the buoyancy theory in the real life and to increase thestudents’ interest on fluid mechanics, a physical jet boat laboratory exercise was created. A jetboat is a boat propelled by a jet of water ejected from the back of the craft.The Jet Flow laboratory setup presented herein was first developed two years ago, in spring 2017,as a Capstone project entitled “Fluid Forces Test Bench” (see Figure 2) by four MET students,and later improved by including a force sensor instead of a digital force meter. The jet boatmodel was 3D printed using a polymer material and assembled with a nozzle at bottom pointingto the left of Figs. 2, 3, and 5. The water is pumped in through a plastic tube mounted on the topof the boat
revisit strategies that are used to conduct such analysis. The study willcontinue to code more transcripts in the above methodology to improve and inform qualitativeanalysis in engineering education.FundingThis work was funded by National Science Foundation Grant DUE #1712195. The project isentitled “Collaborative Research: Bridging the gap between academia and industry in approachesfor solving ill-structured problems”. Data, findings, and conclusions or recommendations are thoseof the authors, only.References1. M. Meyer and N. Fang, “A qualitative case study of persistence of engineering undergraduates,” International Journal of Engineering Education, vol. 35, 1, pp. 99-108, 2019.2. E. Douglas, “Beyond the interpretive: Finding meaning in
Modeling and Simulation in health care and energy planning. He has participated in several funded projects through various sources such as NASA, the Department of Homeland Security, and the Colombian Research Institute. He also have several years of experience working as a consultant for Pharmaceutical and energy companies in the U. S. and Latin America.Dr. Yaneth Correa-Martinez, Colorado State University, Pueblo Hasan School of BusinessMrs. Katherine Sof´ıa Palacio, Fundacion Universidad del Norte Education: PhD in Engineering Management, May 2014 - Old Dominion University, Norfolk, VA. Mas- ter of Science in Industrial Engineering, September 2006 - Universidad del Norte, Barranquilla, Colom- bia. Bachelor of
experienced engineersWe first recruited and interviewed 19 engineers who have developed novel technologies and‘matched’ their technologies to problems. The details of the systematic qualitative analysis canbe found in our work [29]. The interviews focused on discussing specific projects they haveworked on, which led to the commercialization of their technologies. Example interviewquestions are shown in Table 1. 3Table 1. Example interview questions Interview Focus Area Example Question Developing technology From the beginning to the end, can you tell me
engineering education research interests focus on community engagement, service-based projects and examining whether an entrepreneurial mindset can be used to further engi- neering education innovations. He also does research on the development of reuse strategies for waste materials.Dr. Daniel Knight, University of Colorado, Boulder Daniel W. Knight is the Program Assessment and Research Associate at Design Center (DC) Colorado in CU’s Department of Mechanical Engineering at the College of Engineering and Applied Science. He holds a B.A. in psychology from Louisiana State University, an M.S. degree in industrial/organizational psychology and a Ph.D. degree in education, both from the University of Tennessee. Dr. Knight’s
entering and contaminating the vacuum pump system. Figure 9(b) is a close-upview of the emitter tips showing the propellant bead formation prior to the establishment of anelectric field. (a) (b) Figure 9: Electrospray thruster designed for graduate education (a) with magnified emitter tip region showing formation of propellant beads (b).Modularity of design is an important factor in the design. Interchangeable emitter array sections(the rectangular block seen in Figure 9(b)) and extractor plates are included so that multipleresearch projects can be implemented on a single thruster system with minimal modifications.Employing modularity in this manner allows students
revealed the only activity that students differed significantly inwas attending the Help Room, χ2 (2, n=209) =9.52, p=0.009, with post hoc tests showing the top(mean=.40 hrs) and middle ranks (mean=.26 hrs) spend more time in Help Rooms than thebottom group (mean=.10 hrs) with medium (r=.26) and small (r=.23) effect sizes respectively.Exam to Exam Changes The final way in which this project explored student studying is the behavior changesstudents made from exam-to-exam. More specifically, this research sought to understand whichchanges resulted in positive or negative performance and which activities were associated withthat change. Overall, a lack of student mobility among performance ranks indicates that students hadsome
plausible that those who chose not toparticipate differed in identification from those who did. It will be important to maximizeparticipation in future data collection.These IAT results serve as students’ baseline engineering identities. As we revamp ourmechanical engineering program, what we learn will lead to a clearer understanding of thechanges that promote engineering identities, especially in women and minorities, and how suchidentities affect students’ sense of belonging in a program and their persistence in the major.AcknowledgementsThis project was funded by the NSF IUSE/PFE: RED grant #1730354.References[1] Y.-L. Han, K. E. Cook, G. Mason, T. R. Shuman, and J. Turns, “Engineering with Engineers:Revolutionizing Engineering Education
the workplace. Prior to joining WorkLife Law, Rachel was a Research Consultant at Circadia Labs, where she conducted research on empirical projects exam- ining motivation in dreams using natural language processing. She also worked as Research Director for a city council campaign in Rochester, New York. Rachel holds a Master’s degree and a Ph.D. in Social Psychology from the University of Rochester. She received her Bachelor’s degree at Virginia Tech.Prof. Joan Chalmers Williams, University of California, Hastings College of the Law Joan C. Williams is Distinguished Professor of Law, Hastings Foundation Chair, and Founding Director of the Center for WorkLife Law at the University of California, Hastings College of the
personal and family issues,challenges encountered on campus, and various other issues that had to be addressed to helpstudents maintain a clear mind which allowed them to address their studies. Academic challengesand strategies ranged from, how to know your grade in the class? to where are best places tostudy on campus? to how to handle group projects in class in which there is a student notcarrying his or her weight? and much more. It should be noted that having a professor as leadinstructor for this STRIDE Program, may have helped add a valuable layer of insight. Forexample, having a college professor encourage a student to attend other professor’s office hoursmight be received better. Still, while consistent delivery of important messages was
these classrooms areround tables with movable chairs, support for instructional technology, readily accessiblewhiteboards and microphones, and multiple shared projection screens. Typically, theseclassrooms also allocate more space per student than traditional classrooms.Abundant research has reported the positive impact active learning in ALCs can have onstudents’ learning experiences (e.g., [1], [2], [4], [5], [6], [7], [8]). However, as the majority ofthese studies compared traditional lecture-based instruction in TLCs to active learning in ALCs,the ALC’s contribution to this improvement is less well understood. In particular, little is knownabout the impact that switching from a TLC to an ALC has on students’ learning experiences andoutcomes