young adults in alearning environment (e.g. college). Educators have long seen value in presenting ambiguous,real-life challenges to students to further the development of thinking and reflection.10 Severaldecades of research on similar learning processes designed to increase students’ depth ofunderstanding has provided a base of knowledge represented by five key elements: activelearning, frequent feedback from others also involved in the problem solving effort,collaboration, cognitive apprenticeship involving mentors, and practical application in tasks thathave real consequences.11 Since the IPRO program is designed to provide an experiential
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
in the next section.Section 3 provides a summary of the data envelopment analysis approach. The Problem descriptionand a case study are the focus of Section 4. Conclusions and thoughts for future research are Page 12.697.2provided in Section 5.2. Literature reviewData Envelopment Analysis (DEA) is a non-parametric approach that compares similar entities, i.e.,decision making units (DMUs), against the “best virtual decision making unit”. Due to theseadvantages and ease in its use, DEA has been employed extensively in various areas, such as healthcare, education, banking, manufacturing, and management.One of the most relevant studies is
., Umble, M, and Artz, K., Enhancing Undergraduates’ Capabilities through Team-Based Competitions: The Edward Jones Challenge, Decision Sciences Journal of Innovative Education, Vol. 6, Number 1, January 2008. 4. Wirth, K., Teaching for Deeper Understanding and Lifelong Learning, Elements Magazine, Vol. 3 pp.107- 111, April 2007. 5. Cuseo, J, Collaborative and Cooperative Learning in Higher Education: A Proposed Taxonomy, Cooperative Learning and College Teaching, Vol2, pp 2-5, 1992. 6. Johnson, D., and Johnson, R., Action Research: Cooperative Learning in the Science Classroom, Science and Children Journal, Vol. 24, pp 31-32, 1986. 7. Kurfiss, J., Critical Thinking: Theory, Research, Practice, and
this instrument with data from over6000 students5. Hake has subsequently passionately advocated the use of the FCI in physicseducation, and has presented convincing results derived from FCI assessments in support of amove from lecture-centered instruction to more active, hands-on approaches.While study of concept mastery is well developed in physics education research, it is onlyrecently that concept mastery studies have received attention in engineering education research.Inventories have now been created and are continuing to be developed for several fields,including electromagnetic waves, signals and systems, strength of materials, thermodynamics,materials science, statistics, heat transfer, fluid mechanics, chemistry, biology
universities to provide some surety in government spending have alsoincreased the importance of student recruitment, selection and retention.Specifically, this research study aims to identify the level of preparedness the year-one cohortbrings to ELECTENG101, to determine key factors that lead to success in this course, tomeasure the effectiveness of remedial and support mechanisms, and to audit the content andassessment of the course itself. Specific objectives include:• To analyze the educational background of the students in ELECTENG101, particularly relating to physics. The majority of the students currently have one of three distinct qualifications, and subject data is available for these. The qualifications are
AC 2008-259: DEVELOPMENT OF A TEAM INTERACTION OBSERVATIONPROTOCOL AND A SELF-EFFICACY SURVEY USING SOCIAL COGNITIVETHEORY AS A FRAMEWORKSenay Yasar Purzer, Arizona State University Senay Yasar-Purzer is a Ph.D. candidate in Science Education, Department of Curriculum and Instruction at Arizona State University (ASU). She currently works as a graduate research associate in the Communication in Science Inquiry Project, an NSF-funded teacher professional development program. She earned her master’s degree in Science Education at ASU. She has a BS degree in Physics Education and is currently pursuing another B.S.E degree with a concentration in mechanical systems. In 2007, she received the Dean’s
States Military Academy, West Point, NY. Page 13.183.1© American Society for Engineering Education, 2008 An Integrated Approach to Grading a Mechanical Engineering Capstone Design Course at the United States Military AcademyAbstract Many mechanical engineering departments offer a capstone design course that requiresundergraduate students to apply the wide array of theory and skills learned in previous courses.At the United States Military Academy, a key component of the Mechanical Engineeringprogram’s capstone design course, Mechanical System Design, is the requirement for eachstudent team to build and test a
Leading: A Comparative Analysis. Working Paper Series 00-04.8. Heifetz, R. (1994). Leadership without easy answers. Cambridge, MA: Belknap Press.9. Rossman, G. & Rallis, S. (2003). Learning in the field. 2nd edition. Thousand Oaks, CA: Sage Publications.10. Michaelsen, L., Knight, A., & Fink, L., eds. (2004). Team-Based Learning: A Transformative Use of Small Groups in College Teaching. Sterling, VA: Stylus Publishing.11. Mahoney, C. (2003). Student-led leadership styles: A qualitative investigation of a constuctivist-oriented educational technology learning environment. Greeley, CO: University of Northern Colorado.12. Babbie, E. (2007). The practice of social science research (11th ed). Belmont, CA: Thomson
AC 2007-1849: A COMPARISON OF ATTITUDES ABOUT ENGINEERINGBETWEEN INTRODUCTORY DESIGN STUDENTS IN DIFFERENT PROGRAMSLinda Lindsley, Arizona State UniversityVeronica Burrows, Arizona State University Page 12.18.1© American Society for Engineering Education, 2007 A Comparison of Attitudes about Engineering between Introductory Design Students in Different ProgramsAbstractThis paper discusses the difference in attitudes about engineering between students enrolled intwo different types of engineering design courses: standard introduction to engineering designoffered to freshman engineering majors and a course in engineering design offered to in
AC 2007-1919: STUDENT UNDERSTANDING IN SIGNALS AND SYSTEMS: THEROLE OF INTERVAL MATCHING IN STUDENT REASONINGReem Nasr, Boston UniversitySteven Hall, Massachusetts Institute of TechnologyPeter Garik, Boston University Page 12.1317.1© American Society for Engineering Education, 2007 Student Understanding in Signals and Systems: The Role of Interval Matching in Student ReasoningAbstractThis study was designed to investigate student understanding in signals and systems, particularlythe study of continuous-time linear, time-invariant systems. In this paper, we report on a principalfinding of this investigation, namely, the importance of the interval
). College: The Undergraduate Experience in America. New York, NY: Harper & Row Publishers.[2] Chickering, A. W. and Associates. (1981). The Modern American College. San Francisco, CA: Jossey-Bass Publishers.[3] Coburn, L.C. & Treeger, M.L. Letting Go: A Parents Guide to Today's College Experience, Bethesda, MD: Alder & Alder.[4] National Research Council. (1996). National Science Education Standards. Washington, DC: National Academy Press.[5] Tomlinson, C. A. (1999). The Differentiated Classroom: Responding to the Needs of All Learners. Alexandria, VA: Association for Supervision and Curriculum Development.[6] Shuman, Larry, Cheryl Delaney, Harvey Wolfe, Alejandro Scalise & Mary Besterfield-Sacre, (1999
water systems, as well as engineering education reform.W. David Harding, University of New Haven DAVE HARDING is an Associate Professor and coordinator of Chemical Engineering at the University of New Haven. He received his B.S. and M.S. in Chemical Engineering from Perdue University and Ph.D. in Chemical Engineering from Northwestern University. He has a PE license from the state of Indiana and nearly ten years of industrial experience. His professional interests include oxidation catalysis, pollution prevention and environmental processes. Page 12.1401.1© American Society for Engineering
AC 2007-2110: SPONSORSHIP: ENGINEERING’S TACIT GATEKEEPERKevin O'Connor, University of Rochester Kevin O'Connor is Assistant Professor of Human Development in the University of Rochester's Warner Graduate School of Education and Human Development. His research interests are in the social organization of learning and development. He holds a Ph.D. in developmental psychology from Clark University.Daniel Amos, University of Washington Daniel Amos was one of the first ethnographers from the United States to do ethnographic research in the People’s Republic of China. He has taught at five Chinese universities, and directed the Chinese Studies program at Clark Atlanta University. His graduate
AC 2007-2282: EVALUATING SUPPORT FOR UNDERREPRESENTEDSTUDENTS IN ENGINEERING DEGREE PROGRAMSCarol Haden, Northern Arizona University Carol Haden is the Evaluation Coordinator for the Center for Science Teaching and Learning at Northern Arizona University where she received her doctorate in Curriculum & Instruction. She is involved in the evaluation of multiple projects intended to improve undergraduate education in the sciences and engineering. Page 12.695.1© American Society for Engineering Education, 2007 Evaluating Support for Underrepresented Students in
to the lackof interactivity in a large lecture is the use of personal responses systems. One of the firsthard-wired PRS system was installed for physics education in 1972. In recent years, thedevelopment of portable radio frequency PRS systems and associated software has madeit feasible to implement a PRS system in classrooms. PRS can be used to provide an“anonymous” way for students to answer questions posed by the instructor,circumventing the discomfort that some students feel about speaking in front of a largeclass.Many research studies have looked at the use of PRS, or polling, and have noted positiveimpacts on learning. However, the comparisons of student learning and engagement havebeen made across semesters for a course and often with
intelligences that link to our individualstyles. (http://www.pz.harvard.edu/PIs/HG.htm) Page 12.289.3Fleming & Mills’ VARK Learning Styles lists only four categories whereas HowardGardner lists seven styles and suggests humans can be:1 Verbal-Linguistic2 Musical3 Logical-Mathematical4 Spatial5 Kinesthetic6 Interpersonal7 IntrapersonalHunter Boylan’s Research FindingsHunter R. Boylan is the Chairperson for American Council of Developmental EducationAssociations. In his book, What Works: Research-Based Best Practices inDevelopmental Education, Dr. Boylan gives tips for accommodating diversity throughinstruction. His tips are
AC 2007-53: COMPARISON OF STUDENT LEARNING IN CHALLENGE-BASEDAND TRADITIONAL INSTRUCTION IN BIOTRANSPORT ENGINEERINGCLASSROOMSStephanie Rivale, University of Texas-Austin Stephanie Rivale is a doctoral student in the Science and Mathematics Education Department at the University of Texas at Austin. She received her BS in Chemical Engineering at the University of Rochester and her MS in Chemical Engineering at the University of Colorado at Boulder. Her main research interests are improving access and equity for women and students of color in Science, Mathematics, Engineering and Technology and evaluating and improving student learning in college engineering classrooms in cooperation with the
Claudia Morrell is the executive director of the Center for Women and Information Technology (CWIT) at the UMBC. Under her leadership, the Center’s programs and resources have expanded dramatically, including the development of a CWIT Scholars program which retains 94% of its students; increased funding of $7 million in scholarships, research, and program funding to support girls’ and women’s participation and advancement in STEM careers in education and industry; and the expansion of personnel from two to forty-one staff, students, teachers, and faculty. She also served as the executive producer for an international award-winning women and technology video entitled, You Can Be Anything.Anne
Carolina State University in 1992. From 1992-1998, he was a senior researcher at MANTECH, NC. He joined Zayed University in August 1998. Currently he is an assistant professor of Information systems. His research interests include systems modeling, educational technology and curriculum design in Information Systems. His teaching interests include instructional technology and statistical modeling.Akram Al-Rawi, Zayed University Akram is a Professor of CIS at Zayed University, UAE. He has worked at several academic institutions of which the last two were the University of Missouri-Columbia and Columbia College, MO. His teaching interests in-clude programming languages, logic design, and
practice. Email: jturns@u.washington.edu.Steve Lappenbusch, University of Washington Steve Lappenbusch is a doctoral student in the Department of Technical Communication at the University of Washington. His interests include user-centered design, educational technology, and qualitative research methodologies. Email: lappy@u.washington.edu. Page 11.1346.1© American Society for Engineering Education, 2006 Tracing Student Development during Construction of Engineering Professional PortfoliosAbstract: Engineering students undertake the learning of a deep and complex discipline
engineering. Her research interests include STEM programming, career development and assessment.Demei Shen, University of Missouri DEMEI SHEN is a doctoral candidate in Information Science and Learning Technologies at the University of Missouri - Columbia. Her research interests include social computing and motivation in web-based learning.Kelly Rodgers, University of Missouri KELLY A. RODGERS, M. A. is a doctoral candidate in educational psychology at the University of Missouri - Columbia. Her research interests include motivational issues in minority student retention and the socio-emotional aspects of gifted minority adolescents
, Information Science and Technical Culture at the middle school level in his native Croatia. Within physics and science education, his research interests are focused on educational technology, cognitive issues in learning and teacher education.Gregory Triplett, University of Missouri Dr. Triplett received his B.S. in electrical engineering from Florida Agricultural and Mechanical University and M.S. in electrical engineering from Florida State University. He completed his PhD as a member of the Intelligent Semiconductor Manufacturing Group at the Georgia Institute of Technology. He publishes in electronics, nanotechnology, and computer architecture venues
2006-1336: THE ROLE OF ACADEMIC PERFORMANCE IN ENGINEERINGATTRITIONGuili Zhang, University of Florida Guili Zhang is research assistant professor in College of Engineering, University of Florida. She received a Ph.D. in Research and Evaluation Methodology at the University of Florida. She also received a B.A. in British and American Language and Literature at Shandong University, China, and a Master of Education degree at Georgia Southern University. Previously, she served as a staff development specialist and researcher at Jinan District Education Commission, China, and took part in the writing and revision of the National Unified Text Books and Teacher’s Reference Books. She
2006-1344: SELF-EFFICACY BELIEFS OF FIRST-YEAR ENGINEERINGSTUDENTS: IN THEIR OWN WORDSMica Hutchison, Purdue University Mica A. Hutchison is a Ph.D. candidate in the Department Engineering Education and the Department of Chemistry with research interests focused on engineering education and the retention of engineering students. She received her B.S. in Chemical Engineering from the University of Idaho in 2002. Her research is directed by Dr. George M. Bodner and Dr. Deborah K. Follman.Deborah Follman, Purdue University Deborah K. Follman is an Assistant Professor in the Department of Engineering Education at Purdue University. She received a B.S. in Chemical Engineering from Cornell
2006-1379: USING INQUIRY-BASED ACTIVITIES TO PROMOTEUNDERSTANDING OF CRITICAL ENGINEERING CONCEPTSMichael Prince, Bucknell University Michael Prince is a professor of chemical engineering at Bucknell University. His research interests focus on chemical engineering education, active learning, problem based learning, and inquiry-based methods.Margot Vigeant, Bucknell University Margot Vigeant is a newly minted associate professor of chemical engineering at Bucknell University. Her research interest in this topic stems from her own frustration in thermodynamics, and her profound hope we can find a way that people can "get it" the first time around
2006-1442: THE QUALITY OF SOLUTIONS TO OPEN-ENDED PROBLEMSOLVING ACTIVITIES AND ITS RELATION TO FIRST-YEAR STUDENT TEAMEFFECTIVENESSTamara Moore, Purdue University Tamara Moore is a doctoral student in Engineering Education at Purdue University. She received both her B.S. in Mathematics/Mathematics Education and M.S. in Mathematics Education from Purdue University in 1996 and 2001, respectively. Before pursuing her doctorate, Tamara taught high school mathematics for seven years. Her research interests include curriculum development, the learning of complex problem-solving, teamwork, integration of engineering into the K-12 classroom, and operations research.Heidi Diefes-Dux, Purdue University
Validation of an Improved Design MethodAbstractPrior investigation found a statistical association between engineering effort aimed at system-level design issues and the quality of design outcomes in senior design projects, but that simply“telling” students to consider system architecture and interface issues in their designs was noteffective. We developed a method to help design engineers with this important phase of design,then conducted an experiment involving mechanical engineering students to test its effectiveness.This paper describes the experimental method, presents results, and discusses the implicationsfor engineering education research.IntroductionIn prior research on student design projects, we observed that system-level design
the end of each semester.There are several reasons for giving these tests, one, faculty have asserted the hypothesis that thesubject LO knowledge is gained through student work in other [non IPRO] courses and that theIPRO courses are unnecessary as general education requirements and two, faculty maintain thatexposure to two IPRO courses is unnecessary as whatever needs to be learned about the LOsis/can be absorbed in one 3 credit course rather than two 3 credit courses.Our first goal for the research is to measure what students actually comprehend about theLearning Objectives. Our second goal is to evaluate how much LO knowledge the non IPROdepartments provide students before/outside the IPRO courses. Next we want to learn if IPROstudents
2006-1580: AN INVESTIGATION ON DESIGN EFFECTIVENESS ANDEFFICIENCY OF TEAMS EQUIPPED WITH DESIGN INFORMATION SUPPORTTOOL (DIST)Gül Okudan, Pennsylvania State University Gül E. Okudan is an Assistant Professor of Engineering Design at The Pennsylvania State University. She received her Ph.D. from University of Missouri-Rolla. Her research interests include intelligent shop floor control, manufacturing strategy modeling and measurement, solid modeling, product design, and product design teams. Her published work appears in journals such as Journal of Engineering Design, Design Studies, Journal of Engineering Education, European Journal of Engineering Education and Technovation. She is a member of ASEE