Universities and their localschools is looked at as a possible positive contributor to enhance STEM education withinthe classroom. Several outreach programs have been established including a well knownNational Science Foundation (NSF) funded program that involves students in collegeestablishing a relationship with a teacher through a school year by helping them in theclassroom encourage students to excel in STEM education.The NSF Graduate Teaching fellows in K-12 Education (GK-12) “provides funding tograduate students in NSF- supported science, technology, engineering, and mathematics(STEM) disciplines to acquire additional skills that will broadly prepare them forprofessional and scientific careers in the 21st century.”3In 2002-2006, The National
., Börstler, J., Boustedt, J., Dalenius, P., Eken, G., Heyer, T., Jacobsson, A., Lindberg, V., Molin, B., Moström, J. E., & Wiggberg, M. (2007, June). What is the word for engineering in Swedish: Swedish students conceptions of their discipline (Tech. Rep. No. 2007-018). Box 337, SE-751 05 Uppsala, Sweden: Department of Information Technology, Uppsala University. Page 24.903.1240. Walther, J., & Radcliffe, D. F. (2007), The competence dilemma in engineering education: Moving beyond simple graduate attribute mapping, Australasian Journal of Engineering Education, 13(1), 2007, 41-51.41. Glaser, B. G. (1978). Theoretical
and Technology (NIST), which produced revolutionary changes in many of FDNY’s long-established tac- tics. The new firefighting procedures developed through this research have been implemented by FDNY in several real-life fires in New York City. This research was featured on the cover page of ASME (American Society of Mechanical Engineering) Magazine. He also led the research that developed an innovative training methodology to disseminate firefighter safety research and to educate firefighters in a most effective manner. This training has been used by more than 80,000 firefighters from all 50 U.S. states and officially adopted by more than 1000 fire departments nationwide. He has been featured on more than 1000
AC 2007-2977: USE OF A NEURAL NETWORK MODEL AND NONCOGNITIVEMEASURES TO PREDICT STUDENT MATRICULATION IN ENGINEERINGP.K. Imbrie, Purdue University P.K. Imbrie is an Associate Professor of Engineering in the Department of Engineering Education at Purdue University. He holds B.S., M.S. and Ph.D. degrees in Aerospace Engineering from Texas A&M University. His educational research interests include: assessment of student learning, modeling of student success, modeling of student team effectiveness, and technology enabled learning. His technical research interests include: solid mechanics; experimental mechanics; microstructural evaluation of materials; nonlinear materials characterization
undergraduates in science,mathematics, engineering and technology: A meta-analysis. Review of Educational Research 69(1): 21-51.2. Munkeby, A., Drane, D. and Light, G. 2005. Supporting Innovative Freshman Study: The Engineering WorkshopProgram at Northwestern University. Proceedings of the 2005 American Society for Engineering Education AnnualConference.3. Born, W.K., Revelle, W and Pinto, L.H. 2002. Improving Biology Performance with Workshop Groups. Journalof Science Education and Technology, 11(4): 347-365.4. Swarat, S., Drane, D., Smith, H.D., Light, G and Pinto, L. 2004. Increasing Minority Student Retention inIntroductory Science Courses. Journal of College Science Teaching. 34(1): 18-23.5 Treisman, P.U. 1985. A study of the mathematics
development and program assessment, the Committee identifiedthree guiding principles. According to these recommendations2 engineering education should 1)emphasize engineering design; 2) incorporate important and developmentally appropriatemathematics, science, and technology knowledge and skills; and 3) promote engineering “habitsof mind.”The majority of research studies focus on measureable outcomes of K-12 engineering educationprograms. Some have focused on enhanced engineering career awareness.3,4 Others havefocused on increased understanding of engineering design principles.5,6 Yet others have focusedon increased awareness of the ways engineers apply science and mathematics functions andprocedures.7 In all, these assessments of children’s
assignments and exams, with student demographic data and the“hidden” data collected from educational technology tools, for a new data system. A combinedanalysis of data mining and classical statistical techniques was then applied to the integrated dataset. In addition, data from learning management systems have been used to examine thepredictors for engineering students’ academic performance in an entirely online learningenvironment [34]. New data systems can also be built using new data sources. For example, in astudy on introductory programming classes [35], researchers developed an online codingenvironment capturing time-stamped keystroke-by-keystroke data and embedded it in thelearning management system so that students could receive instant
professor in the Agricultural and Biosystems Engineering Department. He co- ordinates the occupational safety option of the industrial technology degree program and the occupational safety certificate program for the department. His research interests are in agricultural and workplace safety and the scholarship of teaching and learning associated with safety, engineering, and technology curricula.Prof. Mack Shelley, Iowa State University Mack Shelley is a Full Professor with joint appointment in the Departments of Statistics and Political Science. He holds the title of University Professor [”The University Professorship recognizes faculty members who have had a significant impact on their department(s) and the university
U.S. National Science Foundation’s Early Career Award in 2009. He is co-editor of the Cambridge Handbook of Engineering Education Research (CHEER) published by Cam- bridge University Press, New York, NY. Dr. Johri earned his Ph.D. in Learning Sciences and Technology Design at Stanford University and a B.Eng. in Mechanical Engineering at Delhi College of Engineering.Dr. Aqdas Malik, George Mason University Aqdas Malik is a Postdoctoral Research Fellow at the Department of Information Sciences and Tech- nology, George Mason University. His multidisciplinary academic and industry experience spans two key disciplines: Human-Computer Interaction and Social Media Communication and Analytics. He is currently engaged in a
AC 2010-1826: REPAIRING STUDENT MISCONCEPTIONS USING ONTOLOGYTRAINING: A STUDY WITH JUNIOR AND SENIOR UNDERGRADUATEENGINEERING STUDENTSDazhi Yang, Purdue University Dazhi Yang is a postdoctoral researcher and an instructional designer in the School of Engineering Education at Purdue University, West Lafayette, IN. She obtained both her master’s and Ph.D. degrees in Educational Technology from Purdue in 2004 and 2008, respectively. She has taught a variety of subjects at the K-12, undergraduate, and graduate levels. She also has worked on various instructional deign and technology-supported learning projects across disciplines. Dr. Yang’s research interests are instructional design and strategies
nuclear discipline interests to cross-load across the second and third factors (populated by the aerospace, physics, and mechanicalinterests and the agricultural, biological, chemical, and environment interests, respectively). Thefour-factor model was used to create the main discipline interests (see Table 2 for factorloadings): technology/computing (computer engineering, electrical, computer science, andinformation technology), biochem (agricultural, biological, chemical, and environmentalengineering), systems & structures (civil, construction, and industrial engineering), and physics& mechanics (physics and aerospace and mechanical engineering). Information from bothmodels was used to create the fifth factor for smaller and less-known
engineering programs before graduation. Retention in most engineering programs hasbecome a burning subject due to students’ comments on the inaccessibility and unapproachablenature of the faculty. Against this backdrop, we initiated an undergraduate research experienceprogram in the Virginia State University’s Center for Biosystems and Engineering (CBE) inorder to address and evaluate students’ likelihood and performance in the Department ofEngineering and Technology to pursue a graduate degree in engineering. We selected studentswith a cumulative GPA of 2.0 to participate in the program based on their persistence toobtaining an engineering degree. Although GPAs are the strongest predictors of persistence inengineering, our approach focuses on
Washington Philip Bell is an associate professor of Cognitive Studies in Education at the University of Washington where he directs the ethnographic and design-based research of the Everyday Science and Technology Group (http://everydaycognition.org). As a learning scientist, he has studied everyday science expertise and learning, the use of digital technologies within youth culture, children's argumentation, the design of novel learning technologies, and approaches to inquiry instruction in science. Bell has a background in human cognition and development, science education, and electrical engineering and computer science.Helen Chen, Stanford University Helen L. Chen is a
AC 2011-1562: SHORT TERM IMPACT OF AN ENGINEERING EDUCA-TION RESEARCH WORKSHOP ON PARTICIPANT’S RESEARCH IN-TERESTS AND CAPABILITIESJunaid A. Siddiqui, Purdue University, West Lafayette Junaid Siddiqui is a doctoral student at the School of Engineering Education, Purdue University. Before joining the doctoral program he worked for nine years at the faculty development office of King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia. In this role he was involved in several faculty development activities, particularly working with the faculty members for exploring the use of web-based technologies in the support of classroom teaching. He received his MS in Civil Engineering from KFUPM while he has also
science, and other appropriate courses.4Additionally, the Accreditation Board for Engineering and Technology (ABET) has ethicseducation requirements for construction programs. In the 2012-2013 ABET criteria for Page 24.1355.2accrediting engineering programs, two students’ outcomes of the list labeled (a) through (k)relate directly to ethics education and states that students should possess: (c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability and
technology whose learningcontributions are comparable across cases. However, there are actually many types of gamesthat contribute to and transform learning processes differently. This qualitative, secondaryanalysis of a systematic literature review catalogs six ways digital and non-digital gameimplementations have contributed to learning in engineering education, and classifies howradically each type of contribution has transformed learning processes in engineering classrooms.For researchers, results reinforce that contextual variables like learning objectives should beconsidered when studying game-based learning. For instructors, results support the merit of non-digital games as resource-effective means of transforming engineering learning
Paper ID #34567Development and Implementation of Professional Communication Activitiesfor Undergraduate Engineering Curricula Based upon Industry ExpectationsDr. Jacob Allen Cress P.E., University of Dayton Dr. Jacob Cress is an assistant professor in the Department of Engineering Management, Systems, and Technology. Prior to joining the faculty at UD, Dr. Cress worked for two years at Stress Engineering Ser- vices Inc. in Mason, Ohio. There he specialized in mechanical test development and project management largely in the railroad and hunting equipment sectors. For five years prior to that, Dr. Cress worked at GE
reasoning used by five differentmembers of a mechanical engineering capstone design team as they partnered with a veterinarianto design a device for horse lung functioning assessment. Technology for veterinary medicinecan be a rich and engaging context for undergraduate design projects. Veterinary technologiesoffer an appropriate level of complexity and provide a new viewpoint on science concepts thatare part of the mechanical engineering canon [7], [8]. Moreover, because veterinarians have bothvery real technological needs and deep STEM knowledge to help mentor students, they can beideal capstone design clients.This case study looks specifically at one fourth-year undergraduate engineering team whosecapstone design client was a professor of
Paper ID #14637Undergraduate Engineering Students’ Representational Competence of Cir-cuits Analysis and Optimization: An Exploratory StudyMr. William Sanchez, Purdue University, West LafayetteDr. Alejandra J. Magana, Purdue University, West Lafayette Alejandra Magana is an Associate Professor in the Department of Computer and Information Technology and an affiliated faculty at the School of Engineering Education at Purdue University. She holds a B.E. in Information Systems, a M.S. in Technology, both from Tec de Monterrey; and a M.S. in Educational Technology and a Ph.D. in Engineering Education from Purdue University. Her
education requires a strongemphasis on experiences.One such method to elicit experience is through the use of educational outreach opportunities.Over the past decade or so, educational outreach opportunities in engineering have been rapidlyon the rise. Current programs include development of classroom materials [7-9], outreachactivities on and off campus [10], holding sponsored engineering contests [11], and performingprofessional development workshops for K-12 teachers.[12] These programs, although designedwith specific individual purposes, are all built on four main principles: to provide undergraduateengineering students with a situated service learning experience [13], to increase students’awareness and interest in technology [14], to provide
Paper ID #32698The Stated and Hidden Expectations: Applying Natural Language Process-ingTechniques to Understand Postdoctoral Job PostingsJia Zhu, Florida International University Jia Zhu is a Ph.D. student in the Knight Foundation School of Computing and Information Science at Florida International University (FIU). Her research interests include computer science education, educa- tional data mining, and data science, with a focus on broadening participation in computing.Ellen Zerbe, Pennsylvania State University Ellen Zerbe is a graduate student pursuing a Ph.D. in Mechanical Engineering at Pennsylvania State University
have focused on the evaluation of student success, outreach impacts, innovative learning techniques, and STEM-related interventions and curricula.Dr. Jean S Larson, Arizona State University Jean Larson, Ph.D., is the Educational Director for the NSF-funded Engineering Research Center for Bio- mediated and Bio-inspired Geotechnics (CBBG), and Assistant Research Professor in both the School of Sustainable Engineering and the Built Environment and the Division of Educational Leadership and Innovation at Arizona State University. She has a Ph.D. in Educational Technology, postgraduate training in Computer Systems Engineering, and many years of experience teaching and developing curriculum in various learning
Paper ID #15605How Can Maker Skills Fit in with Accreditation Demands for UndergraduateEngineering Programs?Mr. Aubrey Wigner, Arizona State University Aubrey Wigner is a PhD candidate in Human and Social Dimensions of Science and Technology at Ari- zona State University. He has an undergraduate degree in Chemical and Biochemical Engineering and a Masters in International Political Economy of Resources, both from the Colorado School of Mines. His research focuses on integrating Makerspaces and Hackerspaces with higher education to enhance learning through hands on interdisciplinary practices. He is also interested in how
fields.Mr. Miles Griffin Evans,Dr. Johannes Strobel, Purdue University, West Lafayette Johannes Strobel is Director of INSPIRE, Institute for P-12 Engineering Research and Learning and As- sistant Professor of engineering education and learning design and technology at Purdue University. NSF and several private foundations fund his research. His research and teaching focuses on policy of P-12 engineering, how to support teachers and students’ academic achievements through engineering learning, the measurement and support of change of ”habits of mind,” particularly in regards to sustainability and the use of cyber-infrastructure to sensitively and resourcefully provide access to and support learning of complexity
developing the educational program in engineering design and innovation (Major IDI), the DILAB partners with forward thinking organizations to assess real life ill-defined issues. Past personal experiences involve work in industry and for consultancies such as Procorp Santiago, Cooper San Francisco and Continuum Milan. On the other hand Constanza is an entrepreneur in medical devices where she is continuously working in the detection of opportunities for innovation and development of new technologies. Her research work is focused mainly in the area of bio design, engineering-design education and design anthropology methods. ˜Sr. Juli´an Inaki ˜ DILab UC - School of Engineering PUC Goni, Juli
Page 13.709.2techniques.Although informal writing’s importance in the writing process has been well-accepted byEnglish faculty, its adoption has met significant resistance from engineering faculty members,who quite often view this as a burdensome addition to an already demanding academic program.However, the need for implementing such a process gained considerable momentum when it wasacknowledged that the teaching of communication skills was crucial to preparing students forprofessional engineering careers. This need was formalized when the Engineering AccreditationCommission of the Accreditations Board for Engineering and Technology (ABET) put forthcriteria in the Engineering Criteria 2000, specifically criterion 3 under “Program Outcomes
, technology, engineering, and mathematics (STEM)altogether [1],[2]. Given that students who earn degrees in engineering often pursue careersoutside of engineering, studies of engineering career decision-making processes often focusheavily on engineering students’ college-exit strategies and early career decisions. For example,Lichtenstein et al. studied institutional influences, such as curricular design, on engineeringstudents’ career decision making by surveying college seniors at two institutions [1]. Similarly,Margolis and Kotys-Schwartz studied graduating college seniors to understand post-graduationattrition in engineering. They found that students who felt more prepared to pursue engineeringcareers were more likely to pursue such careers after
technology industry. International Journal of Innovation Management, 9(03), 371-383.17. Charyton, C., & Merrill, J. A. (2009). Assessing general creativity and creative engineering design in first year engineering students. Journal of engineering education, 98(2), 145-156.18. Daly, S. R., Yilmaz, S., Christian, J. L., Seifert, C. M., & Gonzalez, R. (2012). Design heuristics in engineering concept generation. Journal of Engineering Education, 101(4), 601-629.19. Carkett, R. (2004). ‘He’s different, he’s got ‘Star Trek’vision’: Supporting the expertise of conceptual design engineers. Design Studies, 25(5), 459-475.20. Dyer, J., Gregersen, H., & Christensen, C. (2013). The innovator's DNA: Mastering the five skills of
AC 2010-1501: SPECIAL SESSION: MODEL-ELICITING ACTIVITIES INENGINEERING: A FOCUS ON MODEL BUILDINGEric Hamilton, United States Air Force AcademyMary Besterfield-Sacre, University of PittsburghBarbara Olds, Colorado School of MinesNora Siewiorek, University of Pittsburgh Page 15.1081.1© American Society for Engineering Education, 2010 MEAs In Engineering: A Focus On Model BuildingAbstractThis paper addresses the importance of models and modeling in engineering education reform. Itfocuses specifically on model-eliciting activities, or MEAs, as research and curriculum tools todevelop complex reasoning skills, nurture transference and generalizability of problem
identities with other gender, racial, andethnic groups that are underrepresented in science, technology, engineering, and mathematics(STEM) education.Based upon national recognition that nontraditional students possess untapped potential tostrengthen and diversify the engineering workforce, the purpose of this qualitative research studywas to examine the lived experience of nontraditional students engaged along alternativepathways to engineering degrees. Providing new understandings of how nontraditional studentsmade sense of their engineering education experiences, this work reports on the waysnontraditional engineering students narratively described their success in the context of the two-year transfer program. Findings revealed that participants