Conference Session

Research in Engineering Education II

Collection

2012 ASEE Annual Conference & Exposition

Authors

Dana Denick, Purdue University, West Lafayette; Aidsa I. Santiago-Román, University of Puerto Rico, Mayaguez Campus; Ruth A. Streveler, Purdue University, West Lafayette; Natalie Barrett, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

differing by Page 25.1457.3degree).3 The model is based on a Q-matrix approach in which the Q-matrix is a binaryrepresentation of the underlying cognitive attributes required for correct item responses.5Additionally, the Fusion Model uses residual information from a continuous attribute to uniquelydetermine a student’s probability for correctly performing each task. The Fusion Model employsa Bayesian approach to estimate the model parameters and estimations are made based on aMonte Carlo Markov Chain (MCMC) parameter estimation algorithm. The Fusion Model hasshown promising results when applied to real educational assessment data and in the

Conference Session

ERM Potpourri

Collection

2012 ASEE Annual Conference & Exposition

Authors

Russ Pimmel, University of Alabama; Roger K. Seals, Louisiana State University; Stephanie M. Beard, Louisiana State University

Tagged Divisions

Educational Research and Methods

the presenter summarized the views of a group of NSF ProgramDirectors that were developed earlier through a similar exercise.Each IWBW was divided into two 60-minute segments with a 15-minute break inbetween them. Typically, each segment had about four TPSR activities with a fewshorter ones included to break the routine. The format allotted six minutes for eachTPSR activity. Usually, two Q&A sessions were included in each segment with one inthe middle and one at the end. Since the presenter had no control once a TPSR activitywas initiated and could not react to question or provide guidance, the task statementsneeded to be clear and precise and describe challenging but doable tasks that fit withinthe time constraints. Local facilitators

Conference Session

Understanding Our Students II

Collection

2012 ASEE Annual Conference & Exposition

Authors

Michele L. Strutz, Purdue University, West Lafayette; Matthew W. Ohland, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

2001-126). U.S. Department of Education, National Center for Education Statistics. Retrieved December 20, 2011, from http://nces.ed.gov/pubs2001/2001126.pdf24 Patton, M. Q. (2002). Qualitative research and evaluation methods (3rd ed.). Thousand Oaks, CA: Sage Publications.25 van Manen, M. (1990). Researching lived experience: Human science for an action sensitive pedagogy. Abany, NY: State University of New York Press.26 Säljö, R. (1997). Talk as data and practice – A critical look at phenomenographic inquiry and the appeal to experience. Higher Education Research and Development, 16(2), 173-190.27 Creswell, J. W. (1998). Qualitative inquiry and research design: Choosing among five traditions. Thousand Oaks, CA

Conference Session

Before and After: Matriculants and Alumni

Collection

2012 ASEE Annual Conference & Exposition

Authors

Helen L. Chen, Stanford University; Michelle Marie Grau, Stanford University; Samantha Ruth Brunhaver, Stanford University; Shannon Katherine Gilmartin, SKG Analysis; Sheri Sheppard, Stanford University; Michelle Warner, Stanford University

Tagged Divisions

Educational Research and Methods

of the authors and do not necessarily reflect the views of NSF.ReferencesBorden, V.M.H. (2005). Using alumni research to align program improvement with institutional accountability. NewDirections for Institutional Research, 126, 61-72.Buyer, L.S. & Miller, K.J. (n.d.) Increasing survey response rates: Combining experimental manipulations.Retrieved March 19, 2012, fromhttps://docs.google.com/viewer?a=v&q=cache:EgrP6237otUJ:www.govst.edu/uploadedFiles/Institutional_Research/Survey%2520Response%2520Rates%25206.pdf+&hl=en&gl=us&pid=bl&srcid=ADGEESgXCHcRZHMa2HgJL6Im4E4LIArBAi6_qgOazdxPKNSRkSc0ANQFmVvWUbVFSAAwFZBPaQnH1qgipIPpGy2w4_Z_4JAZgdqnomSleN6jr2-nIEnVzValyb_mo9T2MhB-jnTj1TfW&sig=AHIEtbRh-5HOn7ezW8KpHVe6bnlTIVnD9A

Conference Session

Model Eliciting Activities

Collection

2012 ASEE Annual Conference & Exposition

Authors

Heidi A. Diefes-Dux, Purdue University, West Lafayette; Monica E. Cardella, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

). Evaluating student responses to open-ended problems involving iterative solution development in Model Eliciting Activities. Proceedings of the 118th American Society for Engineering Education Annual Conference & Exposition, Vancouver, B.C., Canada.18. Verleger, M. A. & Diefes-Dux, H. A. (2010). Facilitating teaching and research on open-ended problem solving through the development of a dynamic computer tool. Proceedings of the 117th American Society for Engineering Education Annual Conference & Exposition, Louisville, KY.19. Patton, M. Q. (2002). Qualitative research & evaluation methods. Thousand Oaks, CA: Sage Publications, Inc

Conference Session

Understanding Our Students I

Collection

2012 ASEE Annual Conference & Exposition

Authors

Kyle B. Reed, University of South Florida

Tagged Divisions

Educational Research and Methods

with a checkbox to indicate that they are “not-confident” in their answer. By default (not marking the box), they are confident, so if they wantto ignore this method, they can do so and still take the quiz all or nothing, just like the first quizof the course. The problems on quizzes with the “not-confident” checkbox are scored out of fivetotal points as shown in Table 1.The 5 quizzes included the following 13 problems with the quiz number indicated as Q#: (1, Q2)block diagram reduction, (2, Q3) Laplace Transforms, (3, Q3) Final Value Theorem, (4, Q3)block diagram reduction, (5, Q4) determining the order of a system from a Bode plot, (6, Q4)system response from a step input, (7, Q4), determining system parameters from a transferfunction, (8

Conference Session

Research Informing Teaching Practice II

Collection

2012 ASEE Annual Conference & Exposition

Authors

Renata A. Revelo Alonso, University of Illinois, Urbana-Champaign; Michael C. Loui, University of Illinois, Urbana-Champaign

Tagged Divisions

Educational Research and Methods

STEM Education, 7, 5-14.7. Wiedenbeck, S. (2005). Factors affecting the success of non-majors in learning to program. International Computing Education Research Workshop (ICER), Seattle, WA, 13-24.8. Guzdial, M. (2003). A media computation course for non-majors. Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE), Thessaloniki, Greece.9. Patton, M. Q. (2002). Qualitative research & evaluation methods. Thousand Oaks, California: Sage Publications.10. Bandura, A. (1997). Self-Efficacy: The exercise of control. New York: W. H. Freeman and Company.11. Schmitz, C. D., Revelo Alonso, R. A., & Loui, M. C. (2011). Proceedings of the Forty-First ASEE/IEEE Frontiers in Education Conference: Diversity

Conference Session

Research in Engineering Education I

Collection

2012 ASEE Annual Conference & Exposition

Authors

Rebecca Brent, Education Designs, Inc.

Tagged Divisions

Educational Research and Methods

. AcknowledgementsThis work was supported by National Science Foundation grants DUE-0837612 and ADVANCEPAID (Partnerships in Adaptation, Implementation, and Dissemination) 0820013. This support isgratefully acknowledged. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author and do not necessarily reflect the views of theNational Science Foundation. Bibliography1. Patton, M. Q. (2000). Utilization-focused evaluation. In D. L. Stufflebeam, G. F. Madaus and T. Kellaghan (eds.) Evaluation Models. Boston: Kluwer Academic Publishers.2. Taylor-Powell, E., Jones, L., & Henert, E. (2002) Enhancing Program Performance with Logic Models. Retrieved 1/2

Conference Session

Contextual Competencies

Collection

2012 ASEE Annual Conference & Exposition

Authors

Joshua David Schwartz, Trinity University; Ashley Ater Kranov, ABET

Tagged Divisions

Educational Research and Methods

://wiki.answers.com/Q/How_much_electricity_does_an_average_2-story_3-bedroom_house_use_per_day_per_month_or_per_yearb. Someone who works for the American Foundation for the Blind might be opposed to an increase in EV’s becauseelectric vehicles are quieter than cars using gas, which poses a hazard to blind people who rely on their hearing tocross streets and parking lots.c.The Bolivian Government would be split between those who want to make a profit by exploiting the lithium andthose who want to protect the natural environment. Also, the government would have to consider the losses associatedwith the decrease in tourism that would follow if they allow drilling in the Salar de Uyuni and the correspondingeconomic problems for citizens who make a living by

Conference Session

Identity and Culture

Collection

2012 ASEE Annual Conference & Exposition

Authors

Tiago R. Forin, Purdue University, West Lafayette; Robin Adams, Purdue University, West Lafayette; Kristen Hatten, Purdue University

Tagged Divisions

Educational Research and Methods

. Nashville: Vanderbilt University Press.Meisenbach, R. J. (2008). Working with tensions: Materiality, discourse, and (dis)empowerment in occupational identity negotiation among higher education fund-raisers. Management Communication Quarterly, 22, 258-287.Norander, S., Mazer, J. P., & Bates, B. R. (2011). “D.O. or die:” Identity negotiation among osteopathic medical students. Health Communication, 26, 59-70.Patton, M. Q. (2002). Qualitative research and evaluation methods. Thousand Oaks, CA: Page 25.371.21 Sage Publications.Somers, M. R. (1994). The narrative constitution of identity: A relational and network approach

Conference Session

Epistemic Research

Collection

2012 ASEE Annual Conference & Exposition

Authors

Erick Jacob Nefcy, Oregon State University; Edith Stanley Gummer, Education Northwest; Milo Koretsky, Oregon State University

Tagged Divisions

Educational Research and Methods

Conference Session

Research on Engineering Design Education

Collection

2012 ASEE Annual Conference & Exposition

Authors

Lindsey Anne Nelson, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

“energy for all.”y Additionally, Practical Action partners with existing local organizationsto help specific communities secure energy access and meet other basic needs. For instance,Practical Action installed micro-hydropower and wind power schemes that provide electricity inisolated areas of Peru, Nepal, and Kenya. Through the Practical Answers database,z PracticalAction provides direct technical support to communities across a wide range of technologies.p Michael Roberts, “Creating value at farm level” 24 Aug 2010 http://blog.ideorg.org/2010/08/24/creating-value-at-farm-level/q IDE, Our Method, Water, www.ideorg.org/OurMethod/Water.aspxr IDE’s Sanitation Marketing Project Honored by World Toilet Organization, accessed at http://www.ide