. Campbell, Donald T., and Donald W. Fiske. "Convergent and discriminant validation by the multitrait-multimethod matrix." Psychological bulletin 56.2 (1959): 81.14. Cronbach, Lee J., and Goldine C. Gleser. "Psychological tests and personnel decisions." (1965).15. Purzer, Senay and Cardella, Monica. Instrument Development Model: A Map based on Messick’s Unified Theory of Validity, licensed under a Creative Commons Attribution- NonCommercial-ShareAlike 3.0 Unported License.16. Kline, Paul. A handbook of test construction: Introduction to psychometric design. Methuen, 1986.17. Ferguson, D., Purzer, S., Ohland, M., Jablokow, K., and Menold, J. 2014. “Characterizing engineering innovativeness through a modified Delphi study,” Proc. of
learning. The design is an educational tool by incorporating aestheticvisual elements. Each core concept is encapsulated in sophisticated 3D animations thatenable learners to acquire computer networking concepts systematically and deeply throughan immersive and interactive learning experience. Our 3D models are accessible through auser-friendly website, making computer networking knowledge easily accessible to a wideraudience, beyond the limitations of traditional classroom settings. This design takes thepedagogical framework and principles of interactive learning into account and collaborateswith educational experts to improve practicality.The detail of technical design is outlined in Section 2, and Section 3 presents the results ofour tests and
tools are being proposed andimplemented, e.g., the Internet, multimedia and distance learning. It is sometimes too easy to becomeenamored by the tool, with its flashy graphics, impressive video, and high fidelity sound, perhaps overlookingthe fundamentals of teaching and learning. In the late 1800's, Dr. John Milton Gregory wrote a book entitled "The Seven Laws of Teaching," firstpublished in 1884, and subsequently edited and reissued in 1917 by William C. Bagley and Warren K. Layton,of the University of Illinois School of Education. In his book Dr. Gregory presents "A clear and simplestatement of the important factors governing the art of teaching, .." An eminent educator, Dr. Gregory wasinstrumental in the establishment of the
, pp. 51–63, Jan. 1992.[15] K. M. Edmondson, “Assessing Science Understanding Through Concept Maps,” in Assessing Science Understanding: A Human Constructivist View, 2000, pp. 15–40.[16] J. D. Novak and D. B. Gowin, Learning how to learn. Cambridge University Press, 1984.[17] M. Besterfield-Sacre, J. Gerchak, M. Lyons, L. J. Shuman, and H. Wolfe, “Scoring Concept Maps: An Integrated Rubric for Assessing Engineering Education,” Journal of Engineering Education, vol. 93, no. 2, pp. 105–115, Apr. 2004.[18] D. C. Rice, J. M. Ryan, and S. M. Samson, “Using Concept Maps to Assess Student Learning in the Science Classroom: Must Different Methods Compete?,” Journal of Research in Science Teaching, vol. 35, no. 10, pp. 1103–1127
collegeshave laboratories that are highly underutilized despite being adequate for undergraduateinstruction. Following this reasoning Eastern Washington University (EWU) extended itsestablished Electrical Engineering (EE) program into the Seattle metro area by partnering withNorth Seattle Community College (NSCC). Upon finishing their two-year degree at thecommunity college, students start taking classes imparted by EWU faculty both through two-wayinteractive TV broadcasting and in the internet through Webex. This paper documents thevarious lessons learned through the first year of class delivery, including lecture delivery throughTV broadcasting, dual-site laboratory management, advising issues, etc. Furthermore, it presentsa model for a successful
approach to teaching a 3-credit introductory C programmingcourse to freshman electrical engineering students that has been funded by an NSF DUE grant.The innovation stems from the use of electrical engineering applications and projects to motivatestudents to master language syntax and implement key programming concepts and best practices.Weekly three-hour laboratory sessions center around writing C code on a Raspberry Pi computerto interact with a variety of sensors, actuators, and electronic components and achieve laboratorygoals. The laboratory experience culminates with a multi-week group project designed tochallenge the students’ new knowledge and skills. The new course has been taught three timesfrom Spring 2014 through Fall 2015 with a total
/nano) at Stevens. He has been awarded the NSF CAREER award, the ASEE Mechanics Division Ferdinand P. Beer and E. Russell Johnson Jr. Outstanding New Educator Award, and the 2009 Outstanding Teacher Award from the Stevens Alumni Association.Dr. Susan Lowes, Teachers College, Columbia University Dr. Susan Lowes is Director of Research and Evaluation at the Institute for Learning Technologies at Teachers College, Columbia University. She has conducted research at both university and K-12 levels, with a focus on STEM learning and on the impact of different technologies on teaching and learning. She has directed evaluations of multi-year projects funded by the U.S. Dept. of Education and the National Science
coursepresents the evolution of complexity in the design vector through experiments that focus ondesign for tensile strength (material selection for strength), compression/buckling, (materialselection and geometry design for stiffness enhancement), and joint shearing, (materialselection, geometry design and process selection). Student teams analyze the statisticalvariability and parameter uncertainty using the data generated by all teams enrolled in the course.Using a data-driven approach, we introduce and reinforce the concept of factor of safety usingsimple reliability theories that model uncertainty in component strength. The course culminatesthe design, testing and optimization of a space-spanning truss using the data generated from theearlier
helps alleviate the climate change though sustainable energy systems, theeducational programs and their components should follow suit, adapting to the new challenges.During the past decade and beyond, the traditional lecture based courses in “thermal-fluid” areawere subjected to various improvements and changes by educators in their effort to introduceindustry-like experiential activities in order to enhance and complement the lectured material andattempt to improve students’ understanding. However, due to increased cost of the equipmentpaired with limited physical space, these endeavors seem to fade. As a result of the fundededucational research though a DOED grant, we developed remote-operated experiential activitiesaimed to enhance the
will begin as a Turbine Component Design Engineer at Honeywell Aerospace in Phoenix, AZ.haochen rong Haochen Rong is an international student and a Master of Science in Engineering studying Aerospace and Mechanical Engineering at Saint Louis University’s Parks College of Engineering, Aviation, and Technology. He also obtained a BS in Aerospace Engineering from SLU. His research interests include integrated computational designs and optimization through simulation.Srikanth Gururajan Dr. Srikanth Gururajan is an Associate Professor of Aerospace Engineering at the Parks College of Engineering, Aviation and Technology at Saint Louis University. Dr. Gururajan’s teaching interests are in the areas of Flight Dynamics and
the Department of Electrical and Computer Engineeringat Rowan University to configure a novel method of teaching the junior level Communications(COMM), Digital Signal Processing (DSP) and Very Large Scale Integration (VLSI) coursesunder a common laboratory framework. These three courses are taken concurrently during thespring semester of the junior year. The described interdisciplinary experiments cut acrossindividual course boundaries and integrate hands-on experience and software simulation.Software is integrated with the experiments through MATLAB and SIMULINK, C/C++ andMentor Graphics.Introduction This project is an effort by the Department of Electrical and Computer Engineering atRowan University to configure a novel method of
] National Science Foundation, National Center for Science and Engineering Statistics, "Doctorate Recipients from U.S. Universities: 2014," Arlington, VA. 2015, vol. Special Report NSF 16-300 Available: http://www.nsf.gov/statistics/2016/nsf16300/.[3] S. K. Gardner, "“I heard it through the grapevine”: Doctoral student socialization in chemistry and history," Higher Education, vol. 54, no. 5, pp. 723-740, 2007.[4] S. K. Gardner and K. A. Holley, "“Those invisible barriers are real”: The Progression of First-Generation Students Through Doctoral Education," Equity & Excellence in Education, vol. 44, no. 1, pp. 77-92, 2011/02/10 2011.[5] K. A. Tate, N. A. Fouad, L. R. Marks, G. Young, E. Guzman, and E. G
, or if the concepts finally made sense to them. From an instructor’s perspective, thescores were not the point of the critiques, but instead meant to provide a means for the students tobetter engage with the content provided. Additional material beyond the previous projects suggested for critiques were all shared onthe instructor’s website at sciencetheworld.com.Student response Student feedback to the project has been mostly positive, as collected through an end-of-semester survey provided to students. Students were asked a series of questions on the survey,first focusing on the work they put into completing their own project, as presented in Table 5.Student answers were in the form of short paragraphs, asking them to respond
solvers and who understand dynamics at a more fundamental level.Student outcomesFigure 3 gives some indication of the success of this effort. The mastery results shown in thisfigure indicate that students generally succeed with the formulation parts of dynamics. MasteryObjectives A.1, A.2, B, C, D, E.1, E.2, K, and L all center on the notion of the typical particleand its role in the formulation of a dynamics problem. Objectives F.1 and F.2 give an indicationof student success in doing the mathematics associated with the typical particle (e.g., vectoroperations and integration over the domain of the body). Fig. 3. Student outcomes. This chart shows the mastery performance for students who passed Dynamics from the SP14 through FA19 semesters
, andincrease enrollment”, as stated in the Canvas credentials digital badges for higher education site[1]. The current market is primarily led by companies like Badgr and Accredible, prioritizingactivity-centered credentialing methods rather than the automation of assessment-based skillevaluation through an interface directed towards instructors, an approach explored and improvedupon in this paper.The Badgr framework grants instructors and course designers the ability to manage badgerequirements in the courses and review privacy protected leader boards and other features suchas learning pathways to motivate students through the course. Badgr provides a leaderboard thathelps to track individual student performance and provides a gamified view of
-solving strategies from studentsin mathematics classes, but have now been expanded to other disciplines including ethics andengineering science2,3.Through a collaborative, large-scale National Science Foundation project, MEAs are now beingdeveloped to elicit student misconceptions about important but poorly understood concepts inthermal science. For example, misconceptions about the second law of thermodynamics and itseffect on energy quality are being explored in an MEA where students estimate the overallthermal efficiency of electric vs. hybrid vs. gasoline cars. Student teams must use a systemsapproach and include all relevant energy conversion steps in their problem solving process.In this paper, we will describe MEAs and how they are being
Page 25.882.1 c American Society for Engineering Education, 2012 Learning from Working on Others’ Problems: Case Study of an Interdisciplinary Project-based Global Service- Learning ProgramAbstractIn this paper we present a case study of an interdisciplinary global service-learning program.This program provides students the opportunity to engage in projects that address internationaldevelopment problems through long-term partnerships. The overall goal of the program is toteach students about social development issues, increase their understanding and awareness ofglobal problems, and provide them with an understanding of design as a framework andmethodology to bring
diverse undergraduate researchers’ academic outcomes and perceptions of their research mentoring relationships. International journal of science education, 37(15), 2533-2554. Cedillo, S. (2018). Beyond inquiry: Towards the specificity of anti-blackness studies in STEM education. Canadian Journal of Science, Mathematics and Technology Education, 18, 242-256. Anne Chan (2018) Trust-building in the mentoring of students of color, Mentoring & Tutoring: Partnership in Learning, 26:1, 4-29 Clarke, N., Mondisa, J. L., Packard, B. W. L., Queener Schemanske, C., Tuladhar, A., & Gosha, K. (2023). Examining the role of computing identity in the computing experiences of women and racially minoritized undergraduates: a
is also a Diplomate Water Resources Engineer (D.WRE). He is an elected Fellow of American Society of Civil Engineers (F.ASCE). His pas- sion for teaching continues for over 15 years since his graduate school. He has been active with ASEE and engineering education research for over 15 years. He is interested in enhancing critical thinking skills among civil engineering students through various approaches and understanding student perceptions and experiences about high-impact learning activities and teaching strategies. His research interests are in the areas of resource-efficient desalination, resource recovery from used water, renewable biofuels, and sustainability.Dr. Benjamin S. Magbanua Jr., Mississippi State
studied new technology through in-house research andexperimental work that is a smaller-scale or prototype version of what is done in industry.With systems, however, these solutions are no longer viable since systems cannot bereadily scaled or used outside their operational context. Some useful models such asCOSYSMO 2 have been produced but given the range and interaction of their variables,validation and extensive applications are formidable tasks.Technology roadmaps provide good pointers to the technology that can be expected infuture. By far the most comprehensive, extensive and useful is the InternationalTechnology Roadmap for Semiconductors (ITRS) 3. It provides look-ahead numericalpredictions of integrated circuit performance for the next
technical programs for only a limited time frame of three to four years, the studentimpact measures tend to be limited to student progress to degree and certificate anddegree completion during the term of the grant. Even the CREATE consortium, whichstarted in 1996, has not been able to do longitudinal studies as each successive grant hasfocused on developing and implementing successively changing types of new andemerging technical programs, with no funding to retrospectively assess the previousstudents’ continued progress.This project seeks to bridge the gap between short-term studies and long-term impactdata through a targeted research study to investigate the student achievement of up to27,000 students who have completed at least one NSF CREATE
Trigonometrycourse is online. This means that first-semester eighteen-year-old students that were in highschool and living at home three months ago must now not only move away from home, but alsobe self-motivated to learn the material through self-paced (with weekly deadlines) onlinemethods. This type of class environment can be a shock to these students as they are comfortablewith a well-structured, teacher-led lecture format. As such, many of the students struggle to keepup with the work in both online Math 143 and Trigonometry classes since they most likely havenot fully developed their time management skills.In addition, the College of Engineering’s Introduction to Engineering courses at the University ofIdaho are major-specific with no general
statistical tests we have employed to analyze our datasets. A probability level of 𝑝 ≤ 0.05 was used for all tests to indicate statistical significance.The K-S test is used to quantify the difference between distribution functions of two data sets.The null hypothesis of the K-S test performed here was that the two sets of data came from thesame continuous distribution functions. The result of the test can be categorized as: 1- There is95% chance that there is no significant difference (NSD) between the distribution functions ofthe two data sets and 2- There is a 95% chance that the continuous distribution functions are notsimilar and there is a statistical difference between the two distributions. In other words, there isless than or equal 5% chance
. Page 14.764.1© American Society for Engineering Education, 2009 Integrating Professional Topics and Engineering Constraints Across the CurriculumAbstractMost of us do not learn a skill the first time we try something. Same is true forengineering knowledge and attitudes. Therefore, developing engineering knowledge,skills, and attitudes cannot be relegated to single coverage within the curriculum. Topicsmust be introduced and wrestled with early in the curriculum, sustained throughadditional application during intermediate years, and engrained through integratedapplication during senior design. The concepts of globalization, public policy, andleadership and engineering constraints such as sustainability and ethics
processes. This study is a multi-million dollar effort to provide a multi-facetedcharacterization of engineering students over time, across institutions, and through multiplemethods8. The twelve APS-related papers published at the 2007 American Society ofEngineering Education conference provide a good representation of the study. These papersaddress issues related to persistence and “doggedness”9,10,11, the admissions process12,engineering design behavior13,14,15, student perceptions of their education and their careeraspirations16, identity17, sponsorship18, conceptions of engineering19, and the perspectives ofinternational students20.Still further, the notion of scholarship devoted to characterizing learners and their learning wascodified during
customers. Many college administrators have not beensensitive to outside customers such as parents, employers, graduate schools, and society, and theimpact that they may have on the quality in education. These matters are considered in themodel.The Six Sigma WaySix Sigma is in many ways a powerful regeneration of quality ideas and methods. Except that theSix Sigma way is revealing a potential for success that goes beyond the levels of improvementachieved through the many TQM1 efforts. The objective of Six Sigma performance is to reduceor narrow variation to such degree that standard deviation of variation can be squeezed withinthe limits defined by the customer’s specification. For many products, services, and processesthat means a potential for
-endowed, campus library and is readily adaptable tochanging technology. As implemented at Purdue University, the project has been cited bymultiple ABET re-accreditation teams for innovation and as an excellent example ofcontinuously improved instruction. Over the years, it has grown to become one of the morenoteworthy experiences cited in both student exit surveys and in postgraduate surveys.Also discussed are specific information literacy skills identified by national organizations and theirrelationship to accreditation requirements especially relevant for engineering and technology students.Ultimately, whether student acquire the skills through a single project or through gradual skillacquisition in several classes, students need experiential
materials for Microbial Fuel Cells and the Electro-Fenton process, Recirculating Aquaponic Systems, Environmental Quality wireless sensor networks, and incorporating Sustainable De- sign/Innovation into engineering curricula. He serves as a Faculty Lead for Pitt’s Design EXPO and a variety of the Mascaro Center’s Sustainability programs including the Manchester Academic Charter School ”Green week” and the Teach the Teacher program. Dr. Sanchez teaches Introduction to Sustainable Water Technology and Design, classes in the Civil & Environmental Engineering Department and the Swanson School of Engineering Freshmen program. He works closely with K-12 initiatives and outreach programs including Investing Now, Energy
method that requires minimal consumables (ie. no filler material required)and requires less energy compared to other methods. Important to note, RSW creates a smallerheat affected zone which translates to less adverse effects on the material properties of the basematerials being used. The parameters that determine weld quality are the clamping force of theelectrodes, the electric current passing through the electrodes, the length of time the force/currentare applied, and the electrode contact diameter [3]. Figure 1: Diagram of RSW process [1]. Beyond its industrial significance, RSW is also widely taught in engineering curricula asa fundamental welding process. Hands-on welding experiments, such as the one
Alyssa Welchb, and Robin D. Andersonb Department of Engineeringa, Department of Graduate Psychologyb James Madison University Harrisonburg, VA, USAAbstractWith the rapid pace of technological change, the environment that future engineers will face willrequire the ability to adapt quickly and engage in novel problem solving. Adaptive expertise isdefined as the ability to apply knowledge, gained through prior experiences, to novel situationsin which key information is missing. Researchers have attempted to measure adaptive expertisethrough a variety of methods including interviews, think-alouds, assignment-specific classroomassessments and self-report