introduces essential personal and interpersonal skills 5 Design-Implement A curriculum that includes two or more design-implement experiences, including one at a basic level Experiences and one at an advanced level 6 Engineering Workspaces Engineering workspaces and laboratories that support and encourage hands-on learning of product, process, and system building, disciplinary knowledge, and social learning 7 Integrated Learning Integrated learning experiences that lead to the acquisition of disciplinary knowledge, as well as Experiences personal and interpersonal skills, and product, process, and system building skills 8 Active Learning
teamfunctioning.The course is structured with two fifty-minute lectures per week and a two-hour computerlaboratory meeting. The students are assigned to a three or four person team starting in week 3of the semester and remain with that team through week 7 of the semester. Students are assignedto a different team starting in week 8 of the semester. Students are placed on teams by teachingassistants with the use of guidelines that assure diversity in terms of self-evaluation of computerand programming skills, and placement of females and international students so that theseunderrepresented groups are not isolated. Teams are asked to work together on a weekly basis inlecture, laboratory, and outside of class for team assignments. Although this study
her laboratory skills, and still has a positive expectancy of success inengineering. Throughout her interviews, Anna talks about many careers that interest her andremains uncommitted to a particular career. By her fourth year, she has decided it makes themost sense for her to get a job as an engineer and earn money towards reducing herundergraduate debt before deciding what she really wants to do as a career.By her fourth year, Anna is still unclear of what skills are needed as an engineer and she lacksconfidence in her ability in laboratory settings. However, she is confident in her ability to learnand pass tests. Anna has been on the President’s list nearly every semester. When asked what ishard for her at TPub, Anna talks about trying to
, India Susan S. Mathew, is an Associate Professor. Presently she is also the Associate Dean (Academics and Research) and Head, Department of Electrical and Electronics Engineering. In NITTTR, for the last 29 years, she has been involved in outcome-based curriculum design, teaching postgraduate students, content updating and laboratory management programmes, induction training of new teachers, research in areas of technical education, projects concerned with the development of instructional material for polytechnics, engineering colleges as well as industries, etc. Prior to NITTTR, she was working as a lecturer in MANIT, Bhopal and SGSITS, Indore and was involved in teaching undergraduate & postgraduate students.Ms
inengineering.In this work-in-progress paper, we describe a design-based research project that explores howstudents adopt positive learning behaviors and dispositions through a course, because positivelearning behaviors and dispositions have been shown to increase persistence through challengesand setbacks4.We have designed a course titled Engineering the Mind as an eight-week, second-half semestercourse that is offered for one semester-hour of credit. We plan to pilot this course in Spring 2017to prepare for the Fall 2017 offering.BackgroundDesign-Based ResearchDesign-based research (DBR) is a research paradigm that attempts to bridge laboratory studieswith complex, instructional intervention studies5. DBR is described as “theoretically-framed,empirical
Learning Work? A Review of the Research", Journal ofEngineering Education, vol. 93, no. 3, pp. 223-231, 2004.[3] S. Freeman et al., "Active learning increases student performance in science, engineering,and mathematics", Proceedings of the National Academy of Sciences, vol. 111, no. 23, pp. 8410-8415, 2014. Available: 10.1073/pnas.1319030111.[4] L. D. Feisel and A. J. Rosa, "The Role of the Laboratory in Undergraduate EngineeringEducation, " Journal of Engineering Education, vol. 94, no. 1, pp. 121-130, 2005.[5] R. Krivickas and J. Krivickas, "Laboratory Instruction in Engineering Education", GlobalJournal of Engineering Education, vol. 11, no. 2, pp. 191-196, 2007.[6] J. S. Rolston and E. Cox, "Engineering for the Real World: Diversity
inimplementing their models by means of domain-specific software (e.g., Virtual Kinetics ofMaterials Laboratory (VKML), Gibbs, MATLAB); they also validated their own implementedmodels by comparing and contrasting them upon existing simulations, empirical data fromjournal articles, test cases provided by the instructor, or theoretical models described ontextbooks. Problem implementation phase: in this stage students use their validatedimplementation to solve the problem or design challenge. The four stages of problem solvingused are shown in Fig 1. Figure 1. The four stages of problem solving, adapted from the “integrated model of problem solving” (Van Meter et al., 2006)MethodsInstructional ContextThe course
Paper ID #30590Increased Performance via Supplemental Instruction and Technology inTechnical ComputingDr. Nathan L Anderson, California State University, Chico Dr. Nathan L. Anderson is an Assistant Professor in the Department of Mechanical and Mechatronic Engineering and Sustainable Manufacturing at California State University Chico. He engages in multiple research projects spanning computational materials science to educational pedagogy. Prior to joining academia, he worked in the semiconductor manufacturing industry for KLA Corporation. Before industry, he spent time at Sandia National Laboratories. He earned his Ph.D. in
departments?ContextThis study is a preliminary analysis of the teaching and learning expectations and practiceswithin three engineering units involved in an institution-based change initiative. The changeinitiative leadership has set out to accomplish several goals within and across the seven STEMunits. The first goal of the change initiative is to promote evidence-based instructional practicesin large-enrollment STEM undergraduate courses. The specific practices promoted by the changeinitiative leadership are interactive engagement with frequent formative feedback in lecturesettings, and Cooperative Learning in laboratory settings.1,10 Second, the change initiativeleadership promotes these practices through the development of Communities of Practice
students’ understanding of platform commonality,” International Journal of Engineering Education, vol. 12, no. 1, pp. 120-130, 2007.15. S. Goel, D. Pon, “Innovative model for information assurance curriculum: a teaching hospital,” ACM Journal of Educational Resources in Computing, vol. 6, no. 3, Sept. 2006, Article 2.16. E. Granado, W. Colmenares, M. Strefezza, A. Alonso, “ A web-based virtual laboratory for teaching automatic control,” Computer Applications in Engineering Education, vol. 15, no. 2, pp. 192-197, 2007.17. T.W. Simpson, “Experiences with a hands-on activity to contrast craft production and mass production in the classroom,” International Journal of Engineering Education, vol. 19, no. 2, 2003, pp. 297-304.18
-scale sail planes. Over thecourse of ECSEL program, the sailplane project eventually became integrated into thecurriculum in such a way that students receive up to 11 credits toward their degree requirementsif they complete four years in the program, which involves 20 credits of effort.7 In ElectricalEngineering the changes included creation of a laboratory course on micro-controllers thateventually became a required course and redesign of laboratories to be fully integrated withlectures in two other courses, Circuits & Devices8 and Electronic Circuit Design I. The CivilEngineering project integrated industrial design cases into the entry level structural design class.9The Chemical Engineering project entailed the creation of two detailed
techniques used by the battery industrythrough leaning the theoretical and practical aspects of battery fabrication. The instructional teamdesigned this course to build students’ conceptual understanding by integrating the usevisualization and graphical artifacts, like the ones depicted in figure two, and engaging thestudents in the use of modeling and computational analysis to complete class projects andhomework assignments.In addition, the instructor focused on teaching students how to model and analyze batterysystems using analytical and computational techniques used by practitioners and research expertsin battery systems design. The computation tool used in the course was the Virtual Kinetics ofMaterials Laboratory (VKML). The VKML tool is an
Laboratories, Lucent Technology, Inc. as Member of Technical Staff and Ciena Corp. as Principal Engineer, doing research in photonic networks and optoelectronics. His teaching interest fo- cuses on the project-based learning (PBL) model of engineering education with self-directed learner as enhanced educational outcome. His research area focuses on optoelectronics, semiconductor lasers, and metamaterials.Dr. Robert Scott Pierce P.E., Western Carolina University Robert Scott Pierce is an Associate Professor of physics and engineering at Sweet Briar College in Sweet Briar, Va. He received his Ph.D. in mechanical engineering from Georgia Tech in 1993. Prior to his teaching career, he spent 13 years in industry designing
Added Course Expenses and Technology Fees on Students of Differing Social and Economic StatusAbstractThe field of electronics has made immense advancements in affordability and portability that havetransformed engineering education. Engineering course curricula have increasingly incorporatedmodern technology that has made a positive impact by creating more hands on activities andexperiments. Specialized laboratory equipment and setups are being replaced with off the shelfdevices and components. Customized printed circuit boards can be purchased cheaply andfabricated in days instead of weeks. Creating these hands on activities has many timescorresponded with an increased expense that is passed on to the students in the form of a
assistant with the Visualization, Analysis, and Imaging Laboratory (VAIL), the GeoResources Institute (GRI), Mississippi State University. He is currently an Associate Professor with the Department of Engineering Technology, Prairie View A&M University. His research interests include digital signal processing, image and video coding, and wavelets.Dr. Suxia Cui, Prairie View A&M University Suxia Cui is an associate professor in the Department of Electrical and Computer Engineering at Prairie View A&M University (PVAMU). She joined PVAMU right after she obtained her Ph.D. degree in Com- puter Engineering from Mississippi State University in 2003. Her research interests include image and video processing
students view relatively traditional lectures by aprestigious professor through an online forum (a good example of this approach is Harvard’sintroductory computer science course “CS 50”).Although online delivery has generated much interest in higher education, institutions strugglewith its implementation6. As well, it is not clear that this single technological solution (onlinelectures) is warranted: particularly, in disciplines such as engineering where in-person activitiessuch as project-based learning and laboratories are necessary. As a result, there has been interestin hybrid learning techniques such as “flipped” learning7 where online lectures are used to open-up time for more meaningful activities in the in-person sessions (e.g
). 2008. Page 26.980.93. Hall GE, Dirksen DJ, George AA. Measuring implementation in schools: Levels of use. Southwest Educational Development Laboratory; 2006.4. Borrego M, Froyd JE, Hall TS. Diffusion of Engineering Education Innovations: A Survey of Awareness and Adoption Rates in U.S. Engineering Departments. Journal of Engineering Education 2010;99(3):185- 207.5. Henderson C, Dancy MH. Increasing the impact and diffusion of STEM education innovations. 2011.6. George AA, Hall GE, Stiegelbauer SM. Measuring implementation in schools: The stages of concern questionnaire. Southwest Educational Development
is focused on enhancing educational access for deaf and hard of hearing students in mainstreamed classrooms. He worked in industry for over five years before returning to academia and disability law policy. Towards that end, he completed a J.D. and LL.M. in disability law, and an M.S. and Ph.D. in Computer Science.Mr. Gary W. Behm, Rochester Institute of Technology Gary W. Behm, Assistant Professor of Engineering Studies Department, and Director of NTID Center on Access Technology Innovation Laboratory, National Technical Institute for the Deaf, Rochester Institute of Technology. Gary has been teaching and directing the Center on Access Technology Innovation Laboratory at NTID for five years. He is a deaf
the University of Calgary and leads the Earth Observation for Environmental Laboratory. His research interests include: (i) application of remote sensing in forecasting and monitoring of natural hazards/disasters, (ii) use of re- mote sensing and GIS techniques in understanding the dynamics of natural resources, and (iii) integration of remote sensing, GIS, and modelling techniques in addressing issues related to energy, environment, climate change, local/global warming and smart city. In addition, he is a passionate ’open educational resources’ developer; and serving the editorial board of two open access journals known as Scientific Reports (Nature Publication Group) and Remote Sensing (MDPI).Dr. Kyle O’Keefe
problems. And they may be sufficient for earning apassing grade in the course. However, when large numbers of students flounder on open-endedproblems that require deeper understanding of the material, it becomes clear that the educationalprocess is not working.Cognition research2,13,15 has addressed situations such as these in which students are faced withtasks that do not have apparent meaning or logic. For students to “learn with understanding,”they need to “take time to explore underlying concepts and to generate connections to other[knowledge] they possess.”2 For several years, our teaching strategy has focused on givingstudents first-hand experiences with electric motors and balancing devices in the laboratory. Wehad students generate
undergraduate research, the students as the newcomers workunder the direction of faculty mentors and graduate students as the old-timers. The old-timersprovide expertise and resources to enable the student newcomer to engage in the practice ofresearch. Peer undergraduate researchers being a part of the research laboratory community alsoplay a key role in fostering a successful experience. Figure 1 illustrates the data collected duringthis effort in the context of the CoP theoretical framework. The two main tools utilized were theNational Engineering Students’ Learning Outcomes Survey (NESLOS) and weekly self-reflective journal entries. The figure illustrates that pre-NESLOS was administered at thebeginning of the REU experience (during the first day
, reviews assessment data for eachelement, and offers recommendations to engineering schools wishing to establish their ownprograms for new and future faculty members.I. IntroductionThe default preparation for a faculty career is none at all. Graduate students may get sometraining on tutoring, grading papers, the importance of laboratory safety, and the undesirability ofsexual harassment, and new faculty members may hear about their benefit options, theimportance of laboratory safety, and the undesirability of sexual harassment, but that’s about itfor academic career preparation at most universities. This is an unhealthy state of affairs. Being a college professor requires doing a numberof things that graduate school does not teach you to do
4 graphical user interfaces.Koretsky, Kelly, The authors conducted a .93, .85, and .89 Cohen’s Kappa score for& Gummer content analysis to contrast three different laboratories offered under(2011) the survey responses of each of the two conditions. undergraduates who attended a virtual laboratory versus those who attended a physical laboratory.Mentzer, Becker, The authors coded the The authors reported the interrater& Sutton (2015) engineering design thinking reliability, as indicated by Cohen’s kappa, of 59 high school students’ for
) student interaction patterns (i.e. networks) during thesemester, b) relationships between student interaction patterns and course performance asmeasured by exam grades, and c) student motivations for changing their interaction preferencesduring the semester. MethodsCourse ContextThis study was conducted during the spring 2019 offering of a 2nd year engineering materialsscience course. The course is required for all students enrolled in the mechanical engineeringprogram at our institution. The course comprises two weekly, 75-minute, f2f lecture sessions. Anassociated materials science laboratory course is typically taken concurrently, which comprisesone two-hour lab session every other week. Lectures
even more dramaticresults using active-engagement methods coupled with inquiry-based laboratory modules. Themeaning of “inquiry-based” has many slightly different definitions [8], all of which share the keycharacteristic that students pose and answer questions through physical experience and directobservation rather than by listening to lecture or following a highly prescribed laboratoryprocedure. In this work, we define inquiry-based learning to be that which incorporates thedefining features shown in Table 1 [6]. Table 1: Elements of Inquiry-Based Activity Modules [6] (a) Use peer instruction and collaborative work (b) Use activity-based guided-inquiry curricular materials (c) Use
performance.This paper concludes with recommendations for fostering engagement in undergraduate coursesand plans for future work. Our results linking course performance with completion of extra creditassignments will spur further study of how to best encourage learning in heat transfer courses.Course BackgroundThe introductory heat transfer course held in Fall 2009 had three required components: an in-class component, an at-home component, and a laboratory component. In addition, there wereoptional components that students could choose to pursue including attending the teachingassistant-led sessions or completing extra credit assignments. There were 61 students enrolled inthe course, and 60 students agreed to participate in this engagement study.There
aircraft engineer. Her research and professional interests include faculty development, innovations in engineering communication education, engineering student learning motivation, and nar- rative structure in technical communication.Dr. Nancy Ruzycki, University of Florida Director of Undergraduate Laboratories, Faculty Lecturer, Department of Materials Science and Engi- neeringDr. Cynthia J. Finelli, University of Michigan Dr. Cynthia Finelli, Director of the Center for Research on Learning and Teaching in Engineering and research associate professor of engineering education at University of Michigan (U-M), earned B.S.E.E., M.S.E.E., and Ph.D. degrees from U-M in 1988, 1989, and 1993, respectively. Prior to joining U
faculty members.1 Aspart of the undergraduate education process, faculty guide students through thousands of hours inclassrooms and laboratories. To design better educational experiences for engineering students,faculty must understand how students perceive these interactions and how such interactionscontribute to engagement in learning. Using self-determination theory 2 and analyzinglongitudinal interview data, we explored students‟ perceptions of interactions with faculty andhow these interactions changed during their four undergraduate years.Literature ReviewSelf-determination theory (SDT) posits the importance of socio-contextual factors in humanmotivation.3, 4 In learning environments, socio-contextual factors include social aspects such
which I had no previous knowledge • Ability to take on projects and tasks just outside of my comfort zone • Programming skills • Interconnectedness of research - no one person can move a discipline forward without the input, help, and support of the team they work with • Importance of networking • The ability to identify logistical problems and solve them to avoid delays. • Database search and laboratory etiquette • Friendships, dedication, and compromise • Self-motivation • Working with various high tech tools and equipment • Sensitive to time frame/deadlines • Improving time management skills • I learned what it takes to be a scientist or an engineer
partnership of 13 university-based laboratories supported by the NSF. The NNIN alsohas extensive education outreach programs for the K-gray population. One such program is ourNNIN Research Experience for Undergraduates (REU). NNIN has a strong commitment to thebroader mission of nanotechnology education, knowledge transfer, and outreach for the nation.Since 1997, NNIN (and its predecessor NNUN) has conducted a network wide, multi-site REUprogram. Between 40 and 80 students participate annually in the NNIN REU and over 500undergraduates having completed this summer research program. We have several years’ worthof evaluation results from annual surveys which we use to modify the program and to measurethe impact of our program on career choices. The