/Nov). Ausubell‟s learning theory: An approach to teaching higher order thinking skills,The High School Journal, 82(1). Research Library[13] Ausubel, D.P. & Robinson, F. G. (1969). School learning: an introduction to educational psychology. (p.46). New York: Holt, Rinehart & Winston.[14] Oxford, R.L. (1990). Looking at language learning strategies. In Language learning strategies: what everyteacher should know, (pp. 1-37). New York: Heinle & Heinle Publishers.[15] Bransford, J.D., Brown, A.L., Cocking, R.R. (2000). How people learn: brain, mind, experience andschool. (p.20). Washington, D.C.: National Academy Press
of the author(s) and do not necessarily reflect the views of the NationalScience Foundation (NSF). The authors also wish to thank Karen Clark, Research Assistant,Institute for Public Policy and Survey Research, Office for Survey Research at MSU for hertimely and efficient programming, survey administration, and data retrieval. We are alsoindebted to Mr. Timothy Hinds, the instructor of EGR 100, who has generously allowed us touse his class as a contact point for the CF program.Bibliography1. Seymour, Elaine and Nancy M. Hewitt (1997). Talking about Leaving: Why Undergraduates Leave the Sciences. Boulder, CO, Westview Press.2. Keller, J.M. (1983). Motivational design of instruction. Instructional-design theories and models: An
-495. 5. Lopez, F. G., & Brennan, K. A. (2000). Dynamic process underlying adult attachment organization: Toward an attachment theoretical perspective on the healthy and effective self. Journal of Counseling Psychology, 47(3), 283-300. 6. Bögels, S. M., & Brechman-Toussaint, M. L. (2006). Family issues in child anxiety: Attachment, family functioning, parental rearing and beliefs. Clinical Psychology Review, 26(7), 834-856. 7. Bebbington, P. E., Meltzer, H., Brugha, T. S., Farrell, M., Jenkins, R., & Ceresa, C. (2000). Unequal access and unmet need: neurotic disorders and the use of primary care services. Psychol Med, 30(6), 1359-1367 8. Knapp, J. R., & Karabenick, S
experience, living-learning communities, and persistence to graduation for students in science, technology, engineering, and mathematics programs.Michael Georgiopoulos, University of Central Florida Michael Georgiopoulos is a Professor in the UCF School of Electrical Engineering and Computer Science and the PI of the NSF-funded S-STEM program at UCF entitled the "Young Entrepreneur and Scholar(YES) Scholarship Program" as well as the NSF-funded STEP program entitled "EXCEL:UCF-STEP Pathways to STEM: From Promise to Prominence." Dr. Georgiopoulos' research interests lie in the areas of machine learning, neural networks, pattern recognition and applications in signal/image processing
goal of every engineeringschool. Overall, we should be considering both pathways to creating a more inclusive system. Bibliography 1 "Abstracts of Studies about Diversity in Engineering and Science" Online Ethics Center for Engineering 8/6/2009National Academy of Engineering 2 "Synergies (2008 Annual Report) ". Rep. National Action Council for Minorities in Engineering. Web..3 Lim, V. "A Feeling of Belonging and Effectiveness Key to Women's Success." Diverse: Issues in HigherEducation 26.2 (2009): 17.4 Kukreti, A., Simonson, K., Johnson, K., and L. Evans. "A NSF-Supported S-STEM Scholarship Program forRecruitment and Retention of Underrepresented Ethnic and Women Students in Engineering." ASEE AnnualConference and Exposition, Conference
disaster. In defense of their entity, the students createdan opening statement for the defense, called up to three defense witnesses/experts and composeda defense closing summary statement. In addition to defense, students were allowed to cross-examine witnesses called by other defendants and prepared questions in advance. The aim of thecross-examination was for the students to identify and clarify weaknesses in the arguments andpositions presented by other entities and to make sure information given was complete andaccurate.The overall purpose of this mock hearing was to engage the students in critical thinking andanalysis in a fun and relevant manner. The first objective was to identify what technical error(s)occurred and then dig deeper and try
engineeringdisciplines and would help them determine their engineering major or opt out ofengineering if they see fit. The course requires minimal resources but yet challengesstudents with problems that rise above high school projects, introductory college science,and helps students think like an engineer using the problem as the basis for learningmathematics and consequently mastering solution mechanisms.References: 1. Klingbeil, N., Rattan, K., Raymer, M., Reynolds, D., Mercer, R., 2009, "The Wright State Model for Engineering Mathematics Education: A Nationwide Adoption, Assessment and Evaluation," Proceedings 2009 ASEE Annual Conference & Exposition, Austin, TX, June, 2009. 2. Nesbit, S., Hummel, S., Piergiovanni, P.R. and Schaffer
. Categories Represented in the ASEE Proceedings Page 15.1170.6Page 15.1170.75. Gitlin, Andrew. (2001) Bounding teacher decision making: The threat of intensification. Educational Policy. Vol. 15 Issue 2, p227.6. Kalenscher, Tobias (2009). Decision-making and Neuroeconomics. Encyclopedia of Life Sciences (ELS). John Wiley & Sons, Ltd: Chichester.7. Li, Simon Y. W, Rakow, Tim, Newell, Ben R. (2009). Personal experience in doctor and patient decision making: from psychology to medicine. Journal of Evaluation in Clinical Practice. Vol. 15 Issue 6, p993-995.8. Pugh, S
studentsinvolved remain highly motivated to continue their engineering educations, are more engaged inthe classroom, and have achieved better results in their engineering classes than their peers. Page 15.435.11References1. B. F. Spencer Jr., S. J. Dyke, H. S. Deoskar. "Benchmark Problems in Structural Control - PartI: Active Mass Driver System." Earthquake Engineering and Structural Dynamics, 1998: 1127-1139.2. K. D. Pham, G. Jin, M. K. Sain, B. F. Spencer, Jr., and S. R. Liberty. "Generalized LQGTechniques for the Wind Benchmark Problem." Special Issue of ASCE Journal of EngineeringMechanics on the Structural Control Benchmark Problem, 2004
. Page 15.1205.6The Design Project The students are able to apply their newly gained engineering theory and organphysiology to participate in hands-on experiments throughout the course. Early on, they wereexposed to a simple pumping system in which they could take pressure and flow measurements,and apply their newly acquired fluid dynamics knowledge. Throughout the course, the studentsgained valuable group work and laboratory experience when they analyzed and designed theirown kidney-dialysis systems. The project given to the students was in three parts, as follows: 1. Students will design and build their own dialysis circuit, with the goal of maximizing removal of salt from the blood (Kg/s) while removing < 5% of the liquid
AC 2010-1351: STUDENTS AS THE KEY TO UNLEASHING STUDENTENGAGEMENT: THE THEORY, DESIGN, & LAUNCH OF A SCALABLE,STUDENT-RUN LEARNING COMMUNITY AT XXRussell Korte, University of Illinois, Urbana-Champaign Russell Korte is an assistant professor in Human Resource Education and a Fellow with the iFoundry at the University of Illinois at Urbana-Champaign.David Goldberg, University of Illinois, Urbana David E. Goldberg is Jerry S. Dobrovolny Distinguished Professor in Entrepreneurial Engineering and Co-Director of the Illinois Foundry for Innovation in Engineering Education. He is author of Genetic Algorithms in Search, Optimization, and Machine Learning (Addision-Wesley, 1989) and The
College ofEngineering, an institution which promised integrated project work in all four years of itscurriculum.3 Before and since, and in many places besides Olin, promising engineering studentshave been enticed to attend a variety of innovative technical education programs that promisereal-world experience, training in widely applicable communications skills, and an impeccablefoundation in the principles of design and professional standards of practice.For example, WPI placed project-based learning at the core of its academic program in the early1970’s when it redesigned its graduation requirements to include two major projects.4 Oneproject undertaken within the student’s major field of study is usually completed during thesenior year. Another
will occur when ourundergraduates lead that change.References1. “Rising Above the Gathering Storm: Energizing and Employing America for a Brighter Economic Future”, The National Academies Press, 2007.2. “A Model for Freshman Engineering Retention” , Veenstra, Cindy P., Eric L. Dey and Gary D. Herrin, Advances in Engineering Education, Winter 2009, ASEE.3. “Persistence, Engagement, and Migration in Engineering Programs”, Ohland, M., S. Sheppard, G. Lichetenstein, O. Eris, D. Chachra and R. Layton, Journal of Engineering Education, July 2008.4. Building Community and Retention Among First-Year Students: Engineering First-Year Interest Groups (eFIGSs)”, Courter, S and G. Johnson, ASEE/IEEE Frontiers in Education
two-minute presentation on a student-selected, engineering-related topic in areas such as devices, biographies, vocabulary, or current events. Eachpresentation is assessed through use of a set of rubrics developed in support of an oralpresentation framework presented in a paper by Renaud, Squier, and Larsen3. This frameworkemphasizes oral presentation skills by focusing students’ attention on four key presentationareas: • R – Responsiveness (e.g., audience analysis), • S – Speech Patterns (e.g., speed, volume, enunciation), • V – Verbal and Visual Rhetoric (e.g., presentation structure, use of visual aids), and • P – Physical (e.g., use of stage, congruence of body language with message).The RSVP Framework and its accompanying
impact of a well-established engineering peer mentoringprogram in a large eastern U.S. university.Peer mentoring programs for women, Hispanic and African American studentshad been in existence since the 1990’s. In fall 2005, the college increased thetypes of peer mentoring programs offered to include programs for male, transferstudent, and general undergraduate engineering program participants. Thisincrease in program offerings substantially increased overall mentor programparticipation and offered an opportunity for enhanced assessment and analysis.For this study, we analyzed both pre and post survey data from mentor programparticipants to look at the impact of program participation on intentions to persistand their feelings of belonging in
levelfor most students is not enough to work later on many projects.The department of Computer Science offers an introductory course with the objective to assiststudents in developing the skills necessary to succeed in the STEM areas. CCS0’s activities aredesigned to provide analytical challenges typical of STEM professions and to motivate additionalinquiry. It exploits programmed systems’ lenience at manipulating computation to providestudents with a review of foundational mathematical concepts in the context of graphicalmanipulation such as such as the use of nested for-range statements to enumerate the coordinatesof pixels within geometric objects. For the new course we modified the context of the programsto associate them with electric circuit
TestMeasure df t-test p-value Mean diff Cohen’s d2007 Algebra 20 3.62 .0017 10.91 0.52 Trigonometry 20 4.26 .0004 12.10 0.902008 Algebra 11 5.43 .0002 15.50 1.03 Trigonometry 11 4.58 .0008 15.66 1.26Note. Mean diff = Mean difference (post – pre); X post − X pre s 2post + s 2pre Cohen’s d = where s p = sp 2 Page 15.536.7Math Course PlacementTo further assess the Summer Bridge Program with regards
Design Project mentioned previously. 15The students used a four step process to develop their module: 1. Use of their own experience 2. Formation of design idea(s) 3. Development of predicted behavior based on that idea(s) Page 15.1372.8 4. Testing of the design constructOne of the team members had worked on the Green Campus Enterprise and had participated inwriting the campus wind energy report. 16 Much of their background knowledge of wind energytechnologies came from this report. Other background information came from a 2006 AFG WindEnergy study of the local area. 17 During this preliminary research phase, the students
reported here is a follow-upquestion to a short-answer question. (The short answer question asked those students who wereplanning on continuing in engineering to list their primary reason(s) for pursuing engineering.)The follow-up question asked students to state their level of agreement with this statement:“This class reinforced my decision to continue in engineering.” The average score for the oldcourse was 2.72 (n = 294) and improved to 2.15 (n = 60) for the new course. A 2-sample t-testresulted in a P-Value of 0.000; Cohen’s d equaled 0.57. The significant improvement in student responses begs the question: “is the new courseeasier?” That is, are students more favorable about the course because it is easier? Table 1shows that the grades
increasing grit. He then suggeststhat an important element is required, this is, teaching kids that talent takes time to develop andrequires continuous effort.The notion of continuous effort is based on work by the Stanford psychologist, Carol S. Dweck.8In her work, she looks at “growth mindset”, which believes in time and effort, versus a “fixedmindset”, or the belief that achievement results from abilities we are born with. In her studies,children praised for their intelligence quickly became discouraged when given a version of an IQtest, contrasted to children that were praised for their efforts, who improved their final scores.This work, combined with the extensive work at the University of Pennsylvania, helps to set thestage for the search for
Page 15.781.6multiplication and division. The students wrapped these concepts in a flight simulator, whereevery question answered correctly causes the plane to increase its altitude and every incorrectanswer causes the plane to drop in altitude. The objective is to try and reach a safe cruisingaltitude. The students imported a picture of a instrument panel for a plane onto the Front Paneland placed several LabVIEW objects over top of the original image to make the simulationdynamic. Figure 3: Math Flight SimulatorAnother project that aimed to teach basic math concepts used the idea of popular game from thelate 1980’s and early 1990’s as a template. They created a game similar to the educationalOregon Trail video
access to typical laboratorymaterials to use during the construction of their design projects, whatever they may be. Iknow for a fact that this acquired knowledge of fluid machinery will aid them greatly intheir upper level engineering classes, especially fluid dynamics. Page 15.93.10References: 1. Rice, J., T. M. Bayles, G. Russ, and J. Ross, “Preparing Freshmen for Future Energy Issues”, Paper AC 2007-1748 published in the 2007 ASEE proceedings and presented in the Hands-on & Real World Studies Session in The Freshman Programs Division Session. 2. Carletta, J., Bayles T.M., Kalveram, K., Khorbotly, S., Macnab, C
people are affected by poverty,” and • “This project increased my knowledge of the culture(s) of another country.” Table 5. Societal and cultural awareness. Strongly Strongly Agree Neutral Disagree Agree Disagree Awareness of people in 19 (21%) 42 (47%) 22 (25%) 5 (6%) 1 (1%) poverty Increased cultural 6 (7%) 32 (36%) 33 (37%) 15 (17%) 3 (3%) knowledgeThese results may
, Daniel M. White, ‘Selecting a Model for Freshman Engineering Design’, J. EngineeringEducation, July 1999.8. Millard, D., Chouikha, M., Berry, F., ‘Improving Student Intuition via Rensselaer s New Mobile StudioPedagogy’, ASEE 2007 Annual Conference, Honolulu, HW, June 2007.9. Comolli, N., Kelly, W. and Qianhong, W., ‘The Artificial Kidney: Investigating Current Dialysis Methods as aFreshman Design Project’, ASEE 2010 Annual Conference.10. Dinehart, D., Gross, S., Yost, J., Radlinska, A., “The Role of Structural Engineering in Multi-DisciplinaryFreshman Projects”, ASEE 2010 Annual Conference.Appendix A: Desired Skills from FEC Recommendations 1. Non-technical a. Teamwork b. Conflict resolution c. Communication (oral
), relevance (5 questions), confidence (8 questions), and satisfaction (3 questions).The survey also contained 3 open-ended questions at the end. Students in both groups submittedthe survey at the end of the course (The survey questions and ARCS indicators are presented athttp://ipt.boisestate.edu/msensf/ASEE2010ARCSSurvey.htm). Internal reliability of thequestions measuring each of the four ARCS factors was an acceptable level. The CronbachAlpha values for the sets of questions measuring A, R, C, and S were .86, .90, .93, and .89,respectively.ABET Program Outcomes Pre and Post Surveys: The ABET program outcomes survey askedstudents to rate on a 7-point scale (1 being ‘no improvement’ and 7 being ‘a lot ofimprovement’) how much they thought
Page 15.685.3of talented engineers6. Figure 1. Breakdown of a large class into PLTL workshops2. Peer Led Team LearningPLTL is a recognized curriculum enhancement strategy adopted in various forms by manyuniversities and colleges across the United States7, 8. In the mid-1990's the National ScienceFoundation initially funded the "Workshop Project" which has blossomed into a nationalmovement and is coordinated by the PLTL organization (www.pltl.org). PLTL engages anexperienced student as the overseer of a small group of learners in the capacity of Vygotsky’s“more capable peer”9. The idea builds on the pioneering observations of Treisman10, 11 from hisstudies as a graduate student at the University of California at Berkeley. From
integrals 4. Polynomial Approximations and Series a) Concept of a series b) Series of constants c) Taylor series It is clear from this information that Calculus BC is more demanding than Calculus AB.3.0 Villanova Course Equivalents AP Test Test Title Score VU Equivalent(s) # of Credits 66 Calculus AB 4 or 5 MAT 1500 Calculus I, and 8 MAT 1505 Calculus II 68 Calculus BC 4 or 5 MAT 1500 Calculus I, and 8 MAT 1505 Calculus II 69 Calculus AB subscore 4 or 5 MAT 1500 Calculus I, and
possible in part because of grant from NSF, SCI-0537405. Any opinions, findings, and Page 15.1321.10conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflectthe views of the National Science Foundation.13 Part of the STEM Academy in Computational Science and Engineering I must acknowledge the contributions ofmy colleagues Daren J. Zywicki from the University of Akron who led a parallel workshop there and Michael Parkefrom The Ohio State University who co-taught the course.14 Summary of Undergraduate Minor Program http://www.rrscs.org/minor/competencyfinal.pdf. September
, goal setting and potency, to measure a student’s individual perception on theirteammates’ effectiveness. The detailed description of the 9-item questionnaire is listed in table 1.The first letter item ID column represents the corresponding construct: I= Interdependency; G=Goal Setting and P= Potency. Table 1 9-item Peer evaluation questionnaire Item ID Item Description I1 Collaborates well with my team on all in-class and out of the class assignments. I2 Contributes to my team's effectiveness by having a clearly defined role(s). I3 Is a reliable team member. G1 Often helps my team think of what we were/were not achieving. G2 Articulates individual goals that can