interdisciplinary research with the goal of improving engineering programs at the undergraduate level. Her research interests include cognitive theories, memory, problem solving, theories of the mind, and the role of identity and motivation in education.Mariaf´e Taev´ı Panizo, James Madison University Mariaf´e Panizo is a first year graduate student in JMU’s Graduate Psychology Doctoral program. She has been working on engineering education research projects for two and a half years, focusing on non- cognitive factors that impact engineering student academic success.Dr. Olga Pierrakos, James Madison University Olga Pierrakos is a Founding Faculty and Associate Professor in the Department of Engineering at James Madison
development. Currently, Aldin is a lead tutor at the Fulton Schools of Engineering and wishes to develop effective engineering education strategies.Prof. Stephen J Krause, Arizona State University Stephen Krause is professor in the Materials Science Program in the Fulton School of Engineering at Arizona State University. He teaches in the areas of introductory materials engineering, polymers and composites, and capstone design. His research interests include evaluating conceptual knowledge, mis- conceptions and technologies to promote conceptual change. He has co-developed a Materials Concept Inventory and a Chemistry Concept Inventory for assessing conceptual knowledge and change for intro- ductory materials science
States.Dr. Tanya A. Faltens, Purdue University, West Lafayette Tanya Faltens is the Educational Content Creation Manager for the Network for Computational Nanotech- nology (NCN) which created the open access nanoHUB.org cyber-platform. Her technical background is in Materials Science and Engineering (Ph.D. UCLA 2002), and she has several years’ experience in hands-on informal science education, including working at the Lawrence Hall of Science at UC Berkeley. While at Cal Poly Pomona, she taught the first year engineering course, mentored student capstone re- search projects, and introduced nanoHUB simulation tools into the undergraduate curriculum in materials science and engineering and electrical engineering courses
(2007) to an engineering problem frame of reference and the physical posed to them (the Midwest location codes, with kappa values of .748 Floods problem). and .746 respectively.”Kong, Douglas, In the “qualitative study of “The kappa values were found to be 100%Rodgers, Diefes- student team projects,” the for the definition category, 93% for theDux, & research team used constant evaluation category, and 84% for theMadhavan (2017) comparative analysis to comparison category.” analyze student work products, specifically their
preparation – e.g., capstone projects in the senior year – and because students oftentransfer out of science and engineering majors because of difficulties with solving problems,considerable effort has been directed towards helping students become proficient problemsolvers. To assure that problem-solving skills are mastered, problem solving has become a coreelement in engineering curricula. In U.S. engineering education, ABET (Accreditation Board forEngineering and Technology) criteria for accrediting instructional programs treat problemsolving as one of the critical learning outcomes to be achieved throughout curricula and isdirectly addressed in ABET Outcome 3.1 an ability to identify, formulate, and solve complexengineering problems by applying
getting an assignment in a core course at the sophomore level and juniorlevel and senior level, and usually at the senior capstone course.[I4]” Build up IL skills gradually from more generic skills to more discipline-specific bysenior yearFuture StepsSome of the results from the five interviews are informing the creation of information literacymodules for freshman engineers and students in a senior engineering design class. These moduleswill incorporate advice from the interviews of teaching ILI throughout students’ careers, as bothfreshmen and seniors will be the audience of the video modules. Also, the videos build on the ideaof having a strong relationship with faculty as two engineering faculty members created the videosfor the freshman
University of Applied Sciences in Groningen, where he taught both in Dutch and in English. During this time his primary teaching and course develop- ment responsibilities were wide-ranging, but included running the Unit Operations laboratory, introducing Aspen Plus software to the curriculum, and developing a course for a new M.S. program on Renewable Energy (EUREC). In conjunction with his teaching appointment, he supervised dozens of internships (a part of the curriculum at the Hanze), and a number of undergraduate research projects with the Energy Knowledge Center (EKC) as well as a master’s thesis. In 2016, Dr. Barankin returned to the US to teach at the Colorado School of Mines. His primary teaching and course
this grant, he advised over 500 individual calculus students on their course projects. He was given an Outstanding Advising Award by USF and has been the recipient of numerous teaching awards at the department, college, university (Jerome Krivanek Distinguished Teaching Award) and state (TIP award) levels. Scott is also a co-PI for a Helios-funded Middle School Residency Program for Science and Math (for which he teaches the capstone course) and is on the leadership committee for an NSF IUSE grant to transform STEM Education at USF. His research is in the areas of solution thermodynamics and environmental monitoring and modeling.Prof. Carlos A. Smith PhD, University of South Florida Carlos A. Smith is a Professor
contacted at tal2@psu.edu.Mark Wharton, Pennsylvania State University Mark J. Wharton is an Assistant Professor of Electrical Engineering at Penn State. He teaches undergraduate courses in Electronics Electronics I, II, and III) and Senior Project Design, the EE capstone design course. He received his B.S. in Electrical Engineering from Penn State and his M.S. from the University of Colorado in Boulder. Prior to working at Penn State, Mark spent over Page 13.690.1 30 years in industry as an Electronic Design Engineer. He can be contacted by phone at 814-865-2091 or by email at MarkWharton@psu.edu.John
students).After the arrangement of these features twelve types of homogeneous groups were formed: • Public Spanish high school, • Transfer, • Private English high school • Private high school • Rural high school • Pre-basic • Academic difficulties, • Graduate in five years, • Coop, • Private English freshmen, • Public Spanish freshmen, and • Pre-basic freshmen.Fifty five students participated in this project. Twenty three were females and twenty two males,all of them were undergraduate students ranging from the freshmen to the fifth-plus year.Students’ were asked to complete a questionnaire regarding demographic and high school relatedfactors, such as the type of high school they attended, the language of instruction (English orSpanish or
fully incorporate the breadth and depth of knowledge and skills comprised in RPTwork. This belief is supported by Dauer and StGermain’s (2006) assertion that traditionalapproaches to radiological training may not be enough to facilitate deep learning. Theywarn that adherence to traditional educational approaches may result in workers withknowledge and skills deficits. They encourage the exploration and evaluation ofalternative learning philosophies that use such learning strategies as: inductivediscussion, self assessments, case studies, demonstrations, projects, prompting andcoaching, interactive lectures, and guided reflection. We have attempted to incorporatemany of these strategies into our theoretical and instructional design framework
highlighted word of mouth,workshops, and literature as the most common diffusion channel to raise awareness.18 Diffusionof Innovations was also used to investigate the diffusion of the Engineering EducationCoalitions’ SUCCEED program.19 In another engineering education context, Montfort et al.investigated the adoption of a Capstone Assessment Instrument through interviews finding thatspecific university context and perceptions greatly affected adoption decisions.20 Similar toMontfort et al., in this study we investigate early adopters through qualitative interviews.Theoretical FrameworkIn this paper we use the framework of Diffusion of innovations. Through interviews we arespecifically investigating the initial stages of the innovation-decision
course,additional exposure to PHA’s can help refine student understanding and appreciation for theinsight PHA’s can provide, helping students determine appropriate materials of construction aswell as the manner in which components are assembled and how the overall system may bedesigned to minimize safety hazards, with economic impact as a continuing consideration.Starting last year, in the fall semester of 2012, we asked that students perform a simplified PHAas a part of one of their small design projects. This systematic review of their process designshelped clarify the need for appropriately placed pressure relief valves and rupture discs, flow
entrepreneurship program which enrolls over 1000 students from all majors. As part of the program, she has established en- trepreneurship capstone, global entrepreneurship, and women and leadership courses and initiatives. Her research has focused on the assessment of entrepreneurship education, the impact of entrepreneurship education on engineering students, IP policy as it relates to undergraduates, and women and leadership. Prior to her work in academia, Duval-Couetil spent several years in the field of market research and busi- ness strategy consulting in Europe and the United States with Booz Allen and Hamilton and Data and Strategies Group. She was recently elected to the board of the United States Association for Small
, Millennium Project. University of Michigan.13. Ericsson K.A. (1999). Creative expertise as superior reproducible performance: Innovative and flexible aspects of expert performance. Psychological Inquiry, 10, 329-333.14. Ericsson, K.A., Krampe, R.T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of Page 15.151.18 expert performance. Psychological Review, 100, 363-406.15. Fitts, P.M., & Posner, M.I. (1967). Human Performance. Belmont, CA: Brookes Cole.16. Guilford, J.P. (1967). The Nature of Human Intelligence. New York: McGraw-Hill.17. Jansson, D. G., & Smith, S. M. (1991
though the objects discussed in the course (e.g. gear or linkage Mechanisms) are very concrete. Especially the symbolic representation of mechanisms is meaningless to most students if they cannot establish the mapping relation between abstract symbols and realistic mechanisms in mind.(2) There is no close relation between the individual course contents. It is not necessary, for example, the chapter “Cam Mechanisms” and “Gear Mechanisms” in a given order to teach. As a result, the students are not capable of integrating the diverse knowledge from the course to solve practical kinematic problems later by their project or capstone design.(3) Only by the chapter “Cam Mechanisms”, the students can acquire design ability
. degree in Engineering Education from Purdue University in 2013, M.S. degree in Biomedical En- gineering from Purdue University in 2009, and B.S. degree in Material Science and Engineering from Tsinghua University in China in 2007. Her research interests focus on educational studies that can help improve teaching, learning, and educational policy decision makings using both quantitative and qual- itative research methods. Her current research project in National Center for Engineering Pathways to Innovation (Epicenter) focuses on measuring engineering students’ entrepreneurial interests and related individual characteristics. Her Ph.D. dissertation involved using statistical modeling methods to explain and predict
publicspeaking and presentations.Engineering students are not often required to present complex ideas to technical and non- Page 8.1199.6technical audiences that mirror the design meetings and public information meetings that real Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition 2003, American Society for Engineering Educationengineers must participate in. Many students make presentations in upper division designcourses, often as part of group work, but it remains unclear how much class time is devoted todeveloping presentation skills in the average capstone or
arereinforced in senior lab. The content and structure of the introductory statistics course andefforts to integrate these concepts into senior lab will be discussed.1. IntroductionUndergraduate chemical engineering education emphasizes analysis and then design. In thetypical curriculum, the majority of the technical credit hours are devoted to fundamental science(e.g., general chemistry, physics, physical chemistry, and organic chemistry) and engineeringsciences (e.g., mass and energy balances, thermodynamics, transport processes, reactionengineering, process dynamics and control). The student is then asked to synthesize this materialin unit operations and then the capstone design course. However, the majority of graduates arehired as Process
-Hill Book Co., NewYork, 1978, pp. 173-182.2) Hurley, R. B., Decision Tables in Software Engineering,, Van Nostrand Reinhold Data Co., New York, 1983.3) Ertas, A. & Jones, J., The Engineering Design Process,, 2nd ed., John Wiley & Sons, New York, 1993, pp. 75-79.4) Wilcox, A.D., Engineering Design Project Guidelines,, Prentice-Hall, Englewood Cliffs, New Jersey, 1987.5) Boylestad, R and Nashelsky, L., Electronics Devices,, 7th ed., Prentice-Hall, Englewood Cliffs, New Jew Jersey, 1999, Chapter 11.6) Gottfried, B. S., & Weisman, J., Introduction to Optimization Theory, Prentice-Hall, Englewood Cliffs, New Jersey, 1973.DOMINGO L. UYDomingo Uy is currently an Assistant Professor of Electronics Engineering Technology at Fort Valley
societies. He has taught 18 different undergraduate and graduate courses related to transportation as well as undergraduate capstone design courses. Nambisan also has been very active in leadership roles of several professional societies and organizations such as the American Society of Civil Engi- neers (ASCE), American Society for Engineering Education (ASEE), Council of University Transporta- tion Centers (CUTC), Institute of Transportation Engineers (ITE), and Transportation Research Board (TRB). His current appointments include those as a member of the Educational Activities Committee which reports to ASCE’s Board of Direction; Chair of the ASEE Civil Engineering Division; member of the Executive Committee of CUTC
course work, must appropriate to the discipline. meet the minimum credit hour foundation course requirements (Table 6.1) in each curricularThe Integration of Content Baccalaureate degree category.programs must provide a capstone or integratingexperience that develops student competencies in 6.3.15 Upper Division Course Work: Studentsapplying both technical and non-technical skills in shall successfully complete a
].Survey Design and MethodologyThis research project was reviewed and determined to be exempt by our college’s InstitutionalReview Board (IRB). Our experimental setup consisted of two groups of students at a largeMidwestern R1 University, in an undergraduate, pre-capstone SE course. We utilized a quasi-experimental pretest-posttest hybrid between groups and within groups design for this study. Thecontrol and treatment groups consisted of successive cohorts of sophomores/juniors from CS andComputer Engineering, one section each. This SE course was a mandatory component of theiracademic progression towards earning their degree.The treatment group was taught using PI while the control group received instruction throughtraditional lectures. The
addressing lab questions. Four full-time faculty createdmultimedia content and follow-up exercises for assessment of student learning outcomes. Duringthe asynchronous lab session, students are required to read the lab instructions and watch shortvideos before beginning the lab exercise or project. A pilot class simulates the online course withthe newly developed content. The flipped classroom method shows promise based on studentfeedback and comparing student learning outcomes between the pilot class and the face-to-facecourse. The feedback from student surveys is discussed as well as suggested improvements ofonline course instruction.KeywordsOnline, Flipped Classroom, Short Videos, Adaptive LearningIntroductionCTU is a private for-profit university
figures such as object-strip color22, purely kinematic principles23, or spectraldistribution24. These approaches are attractive because their features are efficient to compute, andthey have inherently manageable search spaces.C. Suggested Course ExercisesThe intents of these exercises are to reinforce specific material in the host course and to provideguided procedures for other aspects. (More comprehensive experience could be assigned forcourse projects, honors research, capstone design work, etc.) Consider exercises for the threesuggested topics, i.e. image processing, embedded systems, and artificial intelligence, as shownin Table 1. A basic processing pipeline is assumed here that uses background subtraction to findobject blobs and that
. Page 22.248.1 c American Society for Engineering Education, 2011 Assessment Based on Howard Gardner’s Theory of Multiple Intelligences Mysore Narayanan, Miami University, Ohio.Abstract Scholars in the area of cognitive science and educational psychology agree that‘assessment’ as ‘learning’ should not be treated like a third-party research project orsome administrator’s questionnaire. Assessment must be actually viewed as acommunity effort or nothing. Assessment must be driven by a faculty's owncommitment to reflect, react, innovate and improve. Educators have also recognized thatit is very important that instructors make a strong effort to teach to the
Network Installation, Maintenance andManagement - A Proposed New Curriculum for Undergraduates and Postgraduates,” The Australian ComputerJournal, vol. 30, pp. 111-119, (1996).3. S. P. Maj, G. Kohli, and D. Veal, “Teaching Computer and Network Technology to Multi-Media students -a novel approach,” presented at 3rd Baltic Region Seminar on Engineering Education, Goteborg, Sweden,(1999).4. E. T. Workforce, “Educating the workforce for the new millenium,” in Campus Review, (1996).5. D. J. Ewing, “Microcomputers systems 1: a computer science and engineering capstone course,” ACMSIGCSE Bulletin, vol. 25, 155-159, (1993).6. M. Gschwind, “Preprogrammable hardware for educational purposes,” ACM SIGCSE Bulletin, vol. 26, 183-187, (1994).7. W. A. Coey, “An
publishing. He has over 25 yrs. experience working in industry at General Electric and Cabot Corp.Jacob Leicht, University of Illinois at Urbana - Champaign Mr. Leicht is the Chemical and Biomolecular Engineering (CHBE) Teaching Lab Specialist at the University of Illinois Urbana-Champaign, a position he has held for over five years. His primary objective is to oversee the lab space used for a senior-level CHBE capstone course, the Unit Operations Lab. This includes maintaining both the physical equipment and the documentation and procedures that students will use as part of the class. He is also working with the faculty on the revitalization and relocation of the lab. ©American Society for
connections betweenknowledge, and to identify opportunities to create value for the world. Research on the 3Cs hasbeen investigated for quite some time with a particular focus on topics such as educationalinterventions and mindset in contexts such as the first-year engineering programs, the mid-years,and the senior capstone courses. Despite the ubiquitous research efforts looking to expandpedagogical approaches for the 3Cs, there remains a large gap in tools available for educators tomeasure student learning gains and pedagogical intervention effectiveness. This project is part ofa larger research effort to support the development of direct and indirect assessments for each ofthe 3Cs (Curiosity, Connections & Creating Value). This “assessment