metacognitive constructs assessed arelimited to those few that are easily attributable (Van Hout-Wolters, 2000).An additional challenge with all of the methods described herein is that such assessments formetacognition are generally for research purposes and in many cases are conducted inmanufactured laboratory settings and on inauthentic problems. While helpful for developing ourunderstanding of metacognition, its function, and its development, we need assessments that aidthe metacognitive development of our students. While we have grounded our metacognitiveindicators and their interpretations in current metacognitive assessment literature and practice,the indicators are designed specifically for aiding instructor judgements of student artifacts
protestations were ignored. In enhance a student’s self-efficacy, Suffolk EE classes have laboratory componentswhere students perform, either individually or as a team, hands-on exercises and projects thatengage students in understanding the theoretical concepts learned in their lectures. As much aspossible, “real-world” applications are used so that students get a sense that what they arelearning is important and relevant. For instance, in the required Introduction to DigitalElectronics course, teams of students develop a program using the Xilinx FPGA to implement aHamming Encoder/Decoder. In the Introduction to Engineering Design course, teams ofstudents build and program robots using the Parallax platform to perform stipulated tasks such asa
, along with recent headlines in Michigan, made this a project of particular interest to the students. The students tested weekly for common problem analytes such as nitrates (a big problem for our state) and water hardness, another problem which increases costs on campus related to maintaining heating and cooling lines. The students learned and applied new laboratory techniques and analysis methods. The results were collected, analyzed, and a poster and report were created to share the results with the director of the physical plant. Science Outreach Activities - in the first year of the grant students partnered with the local public library to create and implement a series of 3 science activity
improve the toughness of the elastomer. Overall, the toughness of elastomer was increased by this process. 5. Self-calibration algorithm for training a displacement sensor based on artificial neural network model (2019) This project was focused on alleviating the tedious task of calibrating displacement sensors in the laboratory. The student trained an artificial neural network model to collect data from the sensor. The student also developed a regression model to predict the millivolt values which are used to calibrate the sensor without manual intervention. 6. Piezoelectric sensors for high frequency force sensing (2019) This project was about the frequency constraints on conventional sensors used in CNC machines to
academic work to real worldprofessions, and concretize their career vision. Scholars will visit local industry, national labs,infrastructures, public utilities, other research universities, professional workshops,conferences, and engineering construction projects. In the spring 2019, the program providedthe first field trip to NASA Jet Propulsion Laboratory (JPL) to the scholar cohort group. A new(virtual) field trip is being arranged in the spring 2020.Program Impact on Scholars and MentorsThe research activities in program aimed at enhancing the current understanding of four researchquestions outlined below (R.1 – R.4). To begin answering these questions, both qualitative andquantitative data collections occurred. An online survey was
interdisci- plinary emphasis in Public Policy and Administration from Boise State University. Her thesis was entitled, ”Nanomanufacturing Outside of the Lab: An Academic-Industry Partnership Case Study.” She also re- ceived her B.S. in Materials Science & Engineering from Boise State in 2014. In the Spring of 2016, Ann was recognized as part of the first cohort of University Innovation Fellows at Boise State, and has worked as a Fellow to collect and incorporate student feedback into future plans for makerspaces on the Boise State campus. As an undergraduate and graduate student, she has been involved with the Society of Women Engineers, and also taught a materials science laboratory course as a graduate teaching
. Circuits and Systems, 2011, pp. 1187–1190.[24] J. Bernhard and A.-K. Carstensen, “Learning and teaching electric circuit theory,” Physics Teaching Eng. Educ., Jun. 2002.[25] T. Ogunfunmi and M. Rahman, “A concept inventory for an electric circuits course: rationale and fundamental topics,” in Proc. 2010 IEEE Int. Symp. Circuits and Systems, 2010, pp. 2804–2807.[26] L. Watai et al., “Designing effective laboratory courses in electrical engineering: challenge-based model that reflects engineering process,” in 37th Annual Frontiers in Education Conference (FIE) - Global Eng.: Knowledge Without Borders, Opportunities Without Passports, 2007. , October 10–13, 2007.[27] Gloria J. Kim, E.E Patrick, R. Srivastava and
include electrokinetics, predominantly dielectrophoretic characterizations of cells, and the development of biomedical microdevices. She earned a NSF CAREER award and was nominated for Michigan Professor of the Year in 2014. Research within her Medical micro-Device Engineering Research Laboratory (M.D. – ERL) also inspires the development of Desktop Experiment Modules (DEMos) for use in chemical engineering classrooms or as outreach ac- tivities in area schools (see www.mderl.org). Adrienne is currently Chair of ASEE’s Diversity Committee and PIC I Chair; she has previously served on WIED, ChED, and NEE leadership teams and contributed to 37 ASEE conference proceedings articles.Prof. Tom J Waidzunas, Temple University
Paper ID #16813Student Proposals for Design Projects to Aid Children with Severe Disabili-tiesDr. Steve Warren, Kansas State University Steve Warren received a B.S. and M.S. in Electrical Engineering from Kansas State University in 1989 and 1991, respectively, followed by a Ph.D. in Electrical Engineering from The University of Texas at Austin in 1994. Dr. Warren is an Associate Professor in the Department of Electrical & Computer Engineering at Kansas State University. He directs the KSU Medical Component Design Laboratory, a facility partially funded by the National Science Foundation that provides resources for the
, 2004), “distributed cognition” (Hutchins, 1995), or “situated cognition” (Lave,1988; Lave and Wenger, 1991), and the cognitive-ethnographic methods we apply follow fromthat approach. In real-world scenarios, such as engineering design, much of the work isperformed by groups of individuals interacting with each other, mediated by tools and artifacts;thus, an adequate account of the moral judgments in engineering requires that we examine thegroup as the appropriate unit of analysis, not individuals considering hypothetical or historicalcases by themselves in the classroom or laboratory. Furthermore, we move from analyzing theindividual, where we can really only see the input and output of the cognitive process and haveto infer the structure of
isprovided on creative problem solving, the professional skill used in this study; the instrumentselection process adopted to choose the current set of instruments is discussed; and finally,completed data collection along with its results is presented.Creative Problem SolvingHow do we define, or assess a person’s creative potential? Can it be enhanced, i.e., can a personlearn to be more creative? These questions relate to a deep discussion of creativity as a process tobe taught along with pertinent tools, as well as an inherent disposition for openness to andsustained interest to be creative. Yet another dimension of creativity might be of creativeperformance captured in a short (e.g., laboratory task) or a long period of time (e.g. semesterlong
created14 with support from NSF for avariety of topics in Bioengineering15. The method was shown to improve students’ performancewith open-ended problems16,17,18. Inquiry-based learning approaches, such as CBI, have beenfound to be “more effective than traditional science instruction at improving academicachievement, and the development of thinking, problem-solving and laboratory skills”11, and toenhance understanding of critical engineering concepts19,20. A key facet of the CBW approach in heat transfer instruction is the integration of hands-on workshops into the existing course. The integration of hands-on activities into courses hasshown significant learning gains for students across several domains. Faculty have usedinteractive learning
parameter itself, along with the measurement techniques,are not naturally occurring but socially-constructed. Statistically sound measurements requirethat one eliminate all known sources of variation so that one can mathematically verifycorrelations between variables that can be manipulated and the response to those variables (lackof diversity). In other words, objectivist science seeks to reduce variation to a set of controllableconditions. What is often overlooked in reductionist, objectivist science is that the state of naturerarely mimics laboratory conditions, where all influential sources of variation are eliminated.This is particularly true when one is working in a complex, dynamic social system that includeshuman beings.Within STEM cultures
Laboratories before teaching at the U.S. Air Force Academy for seven years. Brian has taught in the Mechanical Engineering Department at Cal Poly, San Luis Obispo since 2006. During the 2011-2012 academic year he participated in a professor exchange, teaching at the Munich University of Applied Sciences. His engineering education interests include collaborating on the Dynamics Concept Inventory, developing model-eliciting activities in mechanical engineering courses, inquiry-based learning in mechanics, and design projects to help promote adapted physical activities. Other professional interests include aviation physiology and biomechanics. c American Society for Engineering Education, 2020
. Reza Toossi, California State University, Long Beach Dr. Reza Toossi is a professor of mechanical and aerospace engineering at CSULB. He received his B.S. degree from the Sharif University of Technology in Tehran, Iran and his M.S. and Ph.D. degrees from the University of California, Berkeley. He continued his post-doctoral research studies in the Lawrence Berkeley Laboratory and joined the CSULB faculty in 1981. Dr. Toossi has worked both as a research scientist and a consultant on various projects related to aqueous aerosols and droplets in the atmosphere, nuclear safety, sensor design, air pollution modeling, flame propagation, fluid mechanics, and fiber optics. Dr. Toossi has successfully managed over $6M in
Learning Returns to College: What Evidence is There That it Works?”, Change, Vol. 30, No. 4, pp.25-35, July, 1998.18. P.T. Terenzini, et. al., “Collaborative Learning vs. Lecture/Discussion: Students’ Reported Learning Gains”, Journal of Engineering Education, Vol. 90, No. 1, pp.123-130, January 2001.19. P. Ram, “Problem Based Learning in Undergraduate Education: A Sophomore Chemistry Laboratory”, Journal of Chemistry Education, Vol. 76, No. 8, pp.1122-1126, 1999.20. R. Ryan et. al., “A motivational analysis of self-determination and self-regulation in education” In C. Ames & R. Ames (Eds.), Research on motivation in education: Vol. 2. The classroom milieu (pp. 13-51). Orlando , FL : Academic Press, 1985.21. R. M. Ryan, and E. L
Engineering Education, 2014 Paper ID #8492Architecture, Fault-Tolerance, Distributed and Parallel Computing. He is the founder and Co-Director ofthe Computer Networks Laboratory at UWM. Dr. Hosseini has published over 120 research papers in ref-ereed journals and conference proceedings. One of his co-authored papers has won the Best Paper Award.He has published two book chapters. He is the co-recipient of a patent in the field of Computer Networks.He has received funding from NSF and industry in support of his research and education. He has super-vised nine PhD and over 60 MS students. Dr. Hosseini is an internationally known figure. He has servedon the
Paper ID #10792Correlating Experience and Performance of On-Campus and On-Line Stu-dents Assisted by Computer Courseware: a Case StudyDr. Hong Man, Stevens Institute of Technology (SES) Dr. Hong Man joined the faculty of Electrical and Computer Engineering at Stevens in January 2000. He received his Ph.D. degree in Electrical Engineering from the Georgia Institute of Technology in December 1999. Dr. Man is currently an associate professor in the department of ECE. He is serving as the director of the undergraduate Computer Engineering program, and the director of the Visual Information Envi- ronment Laboratory at Stevens
AC 2012-4792: ADVANCING PERSONALIZED ENGINEERING LEARN-ING VIA AN ADAPTIVE CONCEPT MAPDr. Christopher B. Williams, Virginia TechMr. Jacob Preston Moore, Virginia Tech Jacob Moore is a Ph.D. candidate in the Department of Engineering Education at Virginia Tech.Dr. Aditya Johri, Virginia TechDr. Robert Scott Pierce, Sweet Briar CollegeChris North, Virginia Tech Chris North is an Associate Professor of computer science at Virginia Tech. He leads the Information Visualization research group in the Center for Human-Computer Interaction, and directs the GigaPixel Display Laboratory, one of the most advanced display and interaction facilities in the world. He was General Chair of the IEEE Information Visualization (InfoVis
Engineering and Com- puter Science at the University of Wisconsin, Milwaukee (UWM) since 1983. Currently he is professor and Chairman of the Computer Science Program. Hosseini’s expertise is in the areas of computer net- works, computer architecture, fault-tolerance, and distributed and parallel computing. He is the Founder and Co-director of the Computer Networks Laboratory at UWM. Hosseini has published more than 120 research papers in refereed journals and conference proceedings. One of his co-authored papers has won the Best Paper Award, and he has published two book chapters. He is the recipient of a patent in the field of computer networks. He has supervised nine Ph.D. and more than 60 M.S. students and has re
developed with fundingfrom their programs or project PIs who are engaged in developing relevant instruments. Otherpossible sources for instrument information include: the Defense Technical Information Center(a repository for final reports of projects funded by Department of Defense), the MentalMeasurements Yearbook (cataloguing 3500 commercially available tests), and regionaleducational laboratories (e.g., Northwest Regional Education Lab in Portland, OR).Within the ASSESS database, instruments must be characterized to aid in identifying thosemeeting criteria set by the user – quality criteria, ranges of suitable application, and instrumentfeatures. A tagging scheme is preferred to multiple levels of characterization because tagging ismore flexible
AC 2012-3927: ASSESSING AN ADAPTIVE EXPERTISE INSTRUMENTIN COMPUTER-AIDED DESIGN (CAD) COURSES AT TWO CAMPUSESDr. Michael Johnson, Texas A&M University Michael D. Johnson is an Assistant Professor in the Department of Engineering Technology and Industrial Distribution at Texas A&M University. Prior to joining the faculty at Texas A&M, he was a senior product development engineer at the 3M Corporate Research Laboratory in St. Paul, Minn. He received his B.S. in mechanical engineering from Michigan State University and his M.S. and Ph.D. from the Massachusetts Institute of Technology. Johnson’s research focuses on design tools; specifically, the cost modeling and analysis of product development and
laboratories to promote workforce development. Furthermore, he has collaborated on an NSF grant project that explores integrating cybersecurity principles and virtual reality technology in additive manufacturing education. Dr. Ojajuni’s research has been recognized with numerous awards, and his findings have been disseminated through publications in respected peer-reviewed journals and presentations at academic conferences.brian Warren, Southern University and Agricultural & Mechanical CollegeFareed Dawan, Southern University and Agricultural & Mechanical College Dr. Fareed Dawan received his Ph.D. in Mechanical Engineering from Louisiana State University (LSU) in 2014. In 2006, he earned his Masters of Engineering
, including the Journal of Cleaner Production, Environmental Engineering Science, Waste Management & Research, Journal of Industrial Ecology, International Journal of Life Cycle Assessment, Sustainability, and Resources, Conservation & Recycling. Prior to his position at UWT, he was an Associate Professor in Mechanical Engineering at the University of Michigan-Flint (UM-Flint). During his time at UM-Flint, he was the recipient of the Dr. Lois Matz Rosen Junior Faculty Excellence in Teaching Award (2017). He completed his postdoctoral fellowship at the U.S. Environmental Protection Agency’s National Risk Management Research Laboratory in Cincinnati, Ohio.Emily Cilli-Turner, University of San DiegoElin A. Bj¨orling
. Crouch, and E. Mazur, “Peer Instruction: Results from a range of classrooms,” Phys. Teach., vol. 40, no. 4, pp. 206–209, Apr. 2002, doi: 10.1119/1.1474140.[9] I. dos Santos Belmonte, A. V. Borges, and I. T. S. Garcia, “Adaptation of physical chemistry course in COVID-19 period: Reflections on Peer Instruction and team-based learning,” J. Chem. Educ., vol. 99, no. 6, pp. 2252–2258, Jun. 2022, doi: 10.1021/acs.jchemed.1c00529.[10] T. Gok and O. Gok, “Peer Instruction in chemistry education: Assessment of students’ learning strategies,” Learn. Strateg., vol. 17, no. 1, 2016.[11] M. F. Golde, C. L. McCreary, and R. Koeske, “Peer Instruction in the general chemistry laboratory: Assessment of student learning,” J
thepotential impact of the on-going work was evident [30]. It is well-accepted that the currentgeneration of college students have an affinity for environmental and social issues and thatlinking efforts to these “Grand Challenges” is inspirational and provides an external motivationfor long-term career goals [31], [32]. The Louis Stokes Alliance for Minority Participation(LSAMP) program was used to give the RS students their first experience working in a modernresearch laboratory as a team member under faculty direction [33]. Once the students hadexperienced working under a faculty member, they were given a chance to direct a project oftheir own choosing. Similar to a capstone experience, self-directed technical work buildsconfidence and marketable
instructors collaborated in co-teaching the first-yearexperience university seminar course that the students had to take the fall quarter of the academicyear. This collaboration built a strong connection between the two instructors and the students.The course provided a more casual environment beyond the structured technical content of eachinstructor's respective discipline-specific courses.Additional Engineering Course MeetingsThe standard first-year engineering course is typically taught twice a week, with each sessionlasting an hour and fifty minutes. Throughout the year, the engineering class for SSP studentswas extended to three days, providing increased contact hours with their instructor. Thisadjustment facilitated greater access to laboratory
persistence and retention of low-income engineering transfer students.Athena Wong, University of California, IrvineDr. David A. Copp, University of California, Irvine David A. Copp received the B.S. degree in mechanical engineering from the University of Arizona and the M.S. and Ph.D. degrees in mechanical engineering from the University of California, Santa Barbara. He is currently an Assistant Professor of Teaching at the University of California, Irvine in the Department of Mechanical and Aerospace Engineering. Prior to joining UCI, he was a Senior Member of the Technical Staff at Sandia National Laboratories and an adjunct faculty member in Electrical and Computer Engineering at the University of New Mexico. His broad
Professional Communication Department at Texas Tech University. Previously, she served as Professor and Director of Technical Communication and Rhetoric at Texas Tech and as Associate Professor at Utah State University. Her scholarship focuses on online education, program development and assessment, and user-experience design.Dr. Mario G. Beruvides P.E., Texas Tech University Dr. Mario G. Beruvides is the AT&T Professor of Industrial Engineering and Director of the Laboratory for Systems Solutions in the Industrial Engineering Department at Texas Tech University. He is a registered professional engineer in the state of Texas.Jason Tham, Texas Tech University Jason Tham is an associate professor of technical
cultivate and evaluate supportive teaching and learning networks in engineering departments and colleges. He received his doctoral degree in Engineering Education at Virginia Tech, where he was a recipient of the NSF Graduate Research Fellowship. His dissertation studied the teaching practices of engineering instructors during game-based learning activities, and how these practices affected student motivation.Dr. Dominik May, University of Wuppertal Dr. May is a Professor at the University of Wuppertal. He researches online and intercultural engineering education. His primary research focuses on the development, introduction, practical use, and educational value of online laboratories (remote, virtual, and cross-reality