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
Colonel Korpela was selected as an Andrew Carnegie Fellow. An active duty Army officer, LTC Korpela has deployed twice to Iraq and once to Afghanistan serving in various command and staff positions. As a researcher, he has coordinated research projects and grants across the U.S. Department of Defense, academia, and industry in the field of robotics, control, and autonomy. He has authored and coauthored over 35 scientific and professional papers, including journal and conference papers, as well as book chapters in the field of unmanned aerial systems and robotics. LTC Korpela is a WISE (Washington Internship for Students of Engineering) Fellow and Senior Member of the Institute for Electrical and Electronics Engineers
developing their strongest ties, such as graduatementor, department head, or co-workers.Information on navigating reward structures in a technical field while doing education researchwas a common but integral finding that repeatedly came up. The need to understand how toproperly negotiate tenure and promotion given the interdisciplinarity of engineering education andthe culture and expectations of one’s broader institutional environment is a task that is made easierwhen connected to successes that have experience. Additionally, many researchers in the samplereported utilizing conferences as meeting grounds for ongoing projects or launchpads for newprojects.Although large conferences and workshops are an important asset of resource sharing
level), and an additional six 4-bedroom and one 3bedroom flats added ion the first and fourth floors. This brought the total number of flats inGrenfell Tower up to 127, and the number of bedrooms to 227. The original 1970s buildingwas built without cladding and was upgraded for heat insulation in 2016 with a rain claddingsystem added to the exterior, and the new windows located outside the plane of the originalconcrete wall panels. The over-cladding created vertical voids over the projecting structuralcolumns. There was no sprinkler system for firefighting, the stairwell was not pressurized andthe strategic advice to occupants was based on a Stay-In-Place advisory, due to the non-combustible construction and the presumption of adequate fire
workforce, forming collaborations with othercountries, and participating in global innovations. Achieving these goals requires “a broadeducation that incorporates a range of technical and social science and humanities knowledge,”“an appreciation for other cultures,” and “more ethical treatment of those who are different.”It is now becoming more widely acknowledged that engineering decisions require a sense ofsocial justice, fairness, and equality from a global perspective [18] [20] [21]. Responsible andwell-designed engineering projects, according to Baillie [20] are sensitive to the economic,social, and political factors at local and global levels.3.0 Machine-Based Assessment MethodsThe present paper considers machine methods for assessing changes
projects and students in a study group practicing solutions to challenging problems. The success of a team usually depends on the leadership, goal setting, task planning and other teamwork skills of its members.Note that these are not steps for engineering problem solving. Rather, they are the maincomponents or ingredients that are required to solve problems. In most problems, many of theSeven C’s will play a role, though perhaps not all of them at once.In addition to providing a framework for organizing new knowledge and skills, the structure andvocabulary of the Seven C’s can be used to identify specific areas of learning strength andweakness. A general statement such as, “I am not good at solving this type of problem” might bereplaced
app. For example, many students suggesting providing greater variation in the objectives and assignments. Another important theme was dealing with bugs in the app. This app was a custom development project by our team, and we realize now the challenges of making an app that works on many different generations of both Android and iOS devices. This caused fatigue for users who were locked out of the app or ran into impassible obstacles for sometimes hours at a time. It seems that a few people had trouble understanding the use of the target and how it supported the augmented reality. In particular, one student completely misunderstood the app procedures
. A. Jones, and J. N. Moorhead, “Literate Programming for Authorship of Interactive Textbooks for Programming-centric Courses,” Salt Lake City, Utah, 2018.[28] C. Y. Yan, “Online Homework Assignments: Instructor’s Perspective and Students' Responses,” New Orleans, Louisiana, 2016.[29] J. W. Everett, K. E. Mallouk, J. F. Stanzione, III, and J. K. Morgan, “Strategies for Using Online Practice Problems,” Indianapolis, Indiana, 2014.[30] A. T. Koehler, “What's Wrong With My Code (WWWMC),” New Orleans, Louisiana, 2016.[31] S. Edwards, H. Vastani, and M. Perez-Quinones, “Supporting On Line Direct Markup And Evaluation Of Students' Projects,” Portland, Oregon, 2005.[32] J. M. R. Alamo, “A Study of Online
concrete pillars.6. AssessmentThe course assessment was done by pre- and post-surveys at the beginning and the end of thecourse. A screenshot of the complete survey is presented in Appendix-A. The questions weredeveloped in collaboration with the University of as a part of the grant.The questions 1-8 are similar as this will allow us to compare the responses across variousuniversities collaborating on the project. We have added the questions 9-11 to check the interestof the students in various disciplines as well as the overall interest of students in the CivilEngineering discipline (Question 10). Since some of the questions posed in the survey aresubjective, we believe it is beyond the scope of the conference paper to present the details of
learning, evidence of improved feedback practicescontinues to be missing [19]. For instance, a lack of alignment between formative andsummative assessment has been noted [20]. Performance based assessment has been extensivelystudied, in particular, the use of formative assessment tools such as rubrics to provide feedbackon student work [21]. However, rubrics are more commonly used on writing assignments, oropen-ended projects, such as design reports. Courses that emphasize content (i.e. facts, and theapplication of physical and mathematical concepts) are common in engineering curricula. Inmany engineering courses students are asked to solve closed-ended problems to demonstratetheir mastery of the material in these types of “fact and principle
, and facilities layout. Before joining to SIUE he worked at Rochester Institute of Technology as a faculty member and Computer Integrated Manufacturing System project coordinator for RIT’s integrated circuit factory. He is a senior member of IIE and SME, and a member of ASEE, Alpha Pi Mu and Tau Beta Pi.Dr. Hasan Sevim, Southern Illinois University, Edwardsville Dr. Hasan Sevim obtained his B.S. degree in mining engineering in 1974 from Istanbul Technical Uni- versity, Turkey. He obtained his M.S. and Ph.D. degrees in 1978 and 1984, respectively, from Columbia University, New York. In 1984, he joined the College of Engineering at Southern Illinois University (SIU), Carbondale as an assistant professor in the
-202.[7] Brian J Skromme, “Addressing Barriers to Learning in Linear Circuit Analysis,” 122nd ASEEAnnual Conference and Exposition, Paper ID #14125, June 2015.[8] Michelene T.H. Chi, “Commonsense Conceptions of Emergent Processes: Why SomeMisconceptions Are Robust,” Journal of the Learning Sciences, 14(2), pp. 161-199, 2005.[9] James P. Becker, Carolyn Plumb and Richard Revia, Project Circuits in a Basic ElectricCircuits Course,” IEEE Transactions on Education, Vol. 57, No. 2, pp. 75-82, May 2014.[10] A. Yadav et al., “Problem-based learning: Influence on student’s learning in an electricalengineering course,” J. Eng. Educ., vol. 100, no. 2, pp. 253–280, Apr. 2011.[11] Arthur C. Graesser, Sidney D’Mello and Natalie Person, “Meta-knowledge in
responsetypes. Finally, the paper concludes with a section describing options for implementing LON-CAPA at a new institution.IntroductionAlthough LON-CAPA is used fairly widely in the science fields, and by some in mathematics, itis not well known in engineering and engineering technology circles. This is the second in aseries of papers whose purpose is to get the word out to those communities about LON-CAPA’sbenefits and capabilities.The first paper started with an overview of LON-CAPA’s history, beginning with its inception in1992 as CAPA, a pilot project in a physics class at Michigan State University. Today it is used inCanada, Germany, Hong Kong, Indonesia, Israel, Kazakhstan, Netherlands, New Zealand,Oman, South Korea, Turkey, and the USA (with
assistant professor in physics at the University of Maryland in the Physics Education Research (PER) Group. Turpen’s work involves designing and researching contexts for learn- ing within higher education (for both students and faculty). Her research draws from perspectives in an- thropology, cultural psychology, and the learning sciences. Through in-situ studies of classroom practice and institutional practice, she focuses on the role of culture in science learning and educational change. She pursues projects that have high potential for leveraging equitable change in undergraduate STEM pro- grams and she makes these struggles for change a direct focus of her research efforts. She also serves on several national