Conference Session

Innovative Pedagogies Afforded Through Technology and Remote Learning

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Cijy Elizabeth Sunny, Baylor University; Gregory Warren Bucks, University of Cincinnati

Tagged Divisions

Educational Research and Methods

to students to connect in teams any time. Another engagement strategy this instructor listed was to have optional sessions like office hours on Friday for discussion and for Q&A. However, they did not continue this due to lack of interest. Table 1 below shows a summary of the engagement strategies that faculty listed as being used in the Hybrid in-person and Hybrid remote learning environments. There was no difference in the strategies listed by faculty based on the gender, years of teaching, and number of online classes taught. TABLE 1 List of Primary Engagement Strategies in ENED 1100 Hybrid LEs Strategies In-Person RemoteDiscussions

Conference Session

Academic Success and Retention

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Olusola Adesope, Washington State University; Oluwafemi J. Sunday, Washington State University; Ebenezer Rotimi Ewumi, Washington State University; Angela Minichiello P.E., Utah State University; Muhammad Asghar P.E., Utah State University; Candis S. Claiborn, Washington State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

deviation, no leverage values greater than 0.2, and values for ' 'Cook's distance above1. Also, the assumption of normality was reasonable, as evident by the inspection of the Q-Qplot.We hypothesized that (1) high impact engagement practices will predict academic achievementgoals; (2) course motivation will predict academic achievement goals; (3) confidence atcompleting a degree will predict academic achievement goals. The regression results indicatedthat the model explained 23.9% of the variance and that the model statistically predictedacademic achievement goals, F(3, 489) = 52.45, p = .001, adjusted R2 = .24. This result indicatesa linear relationship in the population, and the multiple regression model is a good fit for thedata. All three

Conference Session

Engineering Education During the COVID-19 Pandemic

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Aparajita Jaiswal, Purdue University, West Lafayette; Paul J. Thomas, Purdue University, West Lafayette; Tugba Karabiyik, Purdue University, West Lafayette; Viranga Perera, Purdue University, West Lafayette; Alejandra J. Magana, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

: roadmap and long-term forecast,” Anim. Front., vol. 10, no. 3, pp. 36–45, Jul. 2020, doi: 10.1093/af/vfaa027.[28] J. W. Creswell and V. L. P. Clark, Designing and conducting mixed methods research. Sage publications, 2017.[29] V. Venkatesh, S. A. Brown, and H. Bala, “Bridging the qualitative-quantitative divide: Guidelines for conducting mixed methods research in information systems,” MIS Q., pp. 21– 54, 2013.[30] M. Syed and S. C. Nelson, “Guidelines for Establishing Reliability When Coding Narrative Data,” Emerging Adulthood, vol. 3, no. 6, pp. 375–387, Dec. 2015, doi: 10.1177/2167696815587648.[31] V. Braun and V. Clarke, “Using thematic analysis in psychology,” Qualitative Research in

Conference Session

Student Motivation, Identity, and Resilience

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Wonki Lee, Purdue University, West Lafayette; Jeffrey F. Rhoads, Purdue University, West Lafayette; Edward J. Berger, Purdue University, West Lafayette; Jennifer Deboer, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

; Exposition, Indianapolis, IN. June 15-18, 2014, 2014.[29] P. R. Pintrich, D. A. Smith, T. Garcia, and W. J. McKeachie, “Reliability and predictive validity of the Motivated Strategies for Learning Questionnaire (MSLQ),” Educ. Psychol. Meas., vol. 53, no. 3, pp. 801–813, 1993.[30] J. DeBoer et al., “Work in progress: Rigorously assessing the anecdotal evidence of increased student persistence in an active, blended, and collaborative mechanical engineering environment,” in ASEE Conference & Exposition, New Orleans, LA, 2016.[31] D. Gefen, E. E. Rigdon, and D. Straub, “Editor’s comments: an update and extension to SEM guidelines for administrative and social science research,” Mis Q., pp. iii–xiv, 2011.[32] L. A. Bryan

Conference Session

ERM Poster Session

Collection

2009 Annual Conference & Exposition

Authors

TK Beam, James Madison University; Olga Pierrakos, James Madison University; Jamie Constantz, James Madison University; Aditya Johri, Virginia Tech; Robin Anderson, James Madison University

Tagged Divisions

Educational Research and Methods

Quarterly, 39, 239-263.12. Patton, M. Q. (2002). Qualitative Research & Evaluation Methods. Thousand Oaks, CA : Sage Publications, Inc. Page 14.968.12

Conference Session

Knowing Our Students, Faculty, and Profession

Collection

2009 Annual Conference & Exposition

Authors

Ashlyn Munson, Colorado School of Mines; Barbara Moskal, Colorado School of Mines; Alka Harriger, Purdue University

Tagged Divisions

Educational Research and Methods

., Hundigopal, N., and You, X. (2004). “Increasing high school girls’ selfconfidence and awareness of CS through a positive summer experience”. Proceedings of the Special Interest Groupon Computer Science Education.13. NEA Policy Brief. (2008). Mathematics and Science for Every Girl and Boy.http://209.85.173.132/search?q=cache:Y-ddNq11zBkJ:www.nea.org/assets/docs/mf_PB16_Math.pdf+girls%2B%22ap+exam%22%2Bcomputer+science&cd=3&hl=en&ct=clnk&gl=us. (accessed March 2009)14. Harriger, A., Dunsmore, H., & Lutes, K. (2008-2011). Surprising Possibilities Imagined and Realized throughInformation Technology (SPIRIT). Subcontract with Purdue University, NSF, DRL-0737679.15. Alice: An Educational Software that teaches students computer

Conference Session

Diversity and Inclusion

Collection

2017 ASEE Annual Conference & Exposition

Authors

Joel Alejandro Mejia, Angelo State University; Renata A. Revelo, University of Illinois, Chicago; Idalis Villanueva, Utah State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

Education, 100(2), 225-252. 10. Cohen, C. C. D., & Deterding, N. (2009). Widening the net: National estimates of gender disparities in engineering. Journal of Engineering Education, 98(3), 211-226.11. Mau, W. C. (2003). Factors that influence persistence in science and engineering career aspirations. The Career Development Quarterly, 51(3), 234-243.12. Li, Q., Swaminathan, H., & Tang, J. (2009). Development of a classification system for engineering student characteristics affecting college enrollment and retention. Journal of Engineering Education, 98(4), 361- 376.13. May, G. S., & Chubin, D. E. (2003). A retrospective on undergraduate engineering success for underrepresented minority students. Journal of

Conference Session

Cognitive Skills Development

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Hannah Smith, Queen's University; Brian M. Frank, Queen's University

Tagged Divisions

Educational Research and Methods

,” Intelligence, vol. 57, pp. 66–72, Jul. 2016.[13] A. Grotlüschen, K. Buddeberg, A. Redmer, H. Ansen, and J. Dannath, “Vulnerable subgroups and numeracy practices: How poverty, debt, and unemployment relate to everyday numeracy practices,” Adult Educ. Q., vol. 69, no. 4, pp. 251–270, 2019.[14] N. Center for Education Statistics, “Skills of U.S. Unemployed, Young, and Older Adults in Sharper Focus: Results From the Program for the International Assessment of Adult Competencies (PIAAC) 2012/2014 First Look,” Washington, DC, 2016.[15] N. Dion and V. Maldonado, “Making the Grade? Troubling Trends in Postsecondary Student Literacy,” Toronto, Ontario, 2013.[16] N. Dion, “Emphasizing numeracy as an essential skill

Conference Session

Assessment and Research Tools

Collection

2018 ASEE Annual Conference & Exposition

Authors

Mariana Tafur-Arciniegas P.E., Universidad de los Andes; Andres Felipe Lara Contreras, Universidad de los Andes

Tagged Divisions

Educational Research and Methods

. The impact of thebias reduction in the purpose sampling could lead to objectivity obtained by probabilisticsampling subject to future studies.References[1] L. A. Palinkas, S. M. Horwitz, C. A. Green, J. P. Wisdom, N. Duan, and K. Hoagwood, "Purposeful Sampling for Qualitative Data Collection and Analysis in Mixed Method Implementation Research," Administration and Policy in Mental Health and Mental Health Services Research, vol. 42, pp. 533-544, 2015.[2] C. L. Livneh, "Characteristics of lifelong learners in the human service professions," Adult Education Quarterly, vol. 38, pp. 149-159, 1988.[3] M. Q. Patton, "Two Decades of Developments in Qualitative Inquiry: A Personal, Experiential Perspective

Conference Session

Cognitive Engagement

Collection

2018 ASEE Annual Conference & Exposition

Authors

Allyson Jo Barlow, Oregon State University; Shane A. Brown P.E., Oregon State University; Benjamin David Lutz, Oregon State University

Tagged Divisions

Educational Research and Methods

–10, 2012.[15] L. Chang, “Connotatively Consistent and Reversed Connotatively Inconsistent Items are Not Fully Equivalent: Generalizability Study,” Educ. Psychol. Meas., vol. 55, no. 6, pp. 991–997, 1995.[16] W. D. Perreault, “Controlling Order-Effect Bias,” Public Opin. Q., vol. 39, no. 4, 1975.

Conference Session

ERM Technical Session 6: Technology-enhanced Instruction and Assessment

Collection

2019 ASEE Annual Conference & Exposition

Authors

Brandon Xavier Karcher, Bucknell University; Beth M. Holloway, Purdue University, West Lafayette; Brittany Pierson, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

of knowledge to be gained from using a tool likePattern, examining how students study, and finding insights as to how, when, or if behaviorchanges are made. This research provides an initial step in trying to tie together these challengesin an application, and the results are promising. References[1] “Pattern.” [Online]. Available: https://studypattern.org/. [Accessed: 20-Apr-2019].[2] D. J. Dickinson and D. Q. O’Connell, “Effect of Quality and Quantity of Study on Student Grades,” J. Educ. Res., vol. 83, no. 4, pp. 227–231, Mar. 1990.[3] R. A. R. Gurung, “How Do Students Really Study (and Does It Matter)?,” Teach. Psychol., vol. 39, pp. 323–340, 2005.[4] B. J. Zimmerman, “Investigating Self

Conference Session

Student Teams, Groups, and Collaborations

Collection

2016 ASEE Annual Conference & Exposition

Authors

Maya Rucks, Louisiana Tech University; Marisa K. Orr, Louisiana Tech University; David E. Hall, Louisiana Tech University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

Education Conference and Exposition Proceedings, 2014.[10] “Engineers’ Creed | National Society of Professional Engineers.” [Online]. Available: http://www.nspe.org/resources/ethics/code-ethics/engineers-creed. [Accessed: 19-Apr-2016].[11] C. Giligan, “In a different voice,” Camb. Harv. UP, 1982.[12] T. Kelly and J. Littman, “The art of innovation,” N. Y. Broadway Bus., 2001.[13] A. H. Eagly and V. J. Steffen, “Gender Stereotypes, Occupational Roles, and Beliefs about Part-Time Employees,” Psychol. Women Q., vol. 10, no. 3, pp. 252–262, 1986.[14] C. M. Vest, “Educating engineers for 2020 and beyond,” Natl. Acad. Eng., 2005.

Conference Session

Faculty Development I

Collection

2015 ASEE Annual Conference & Exposition

Authors

Jim L Borgford-Parnell, University of Washington

Tagged Divisions

Educational Research and Methods

. Samuelowicz, K. & Bain, J. D. (2001). Revisiting academics’ beliefs about teaching and learning. (electronic version) Higher Education, 41, 299-325.14. Bain, K. (2004). What the Best College Teachers Do. Cambridge, MA: Harvard University Press.15. Marton, F. (1986). Phenomenography – A research approach to investigating different understandings of reality. Journal of Thought, 21 (3), 28-49.16. Merriam, S. B. (1998). Qualitative research and case study applications in education. San Francisco: Jossey- Bass.17. Patton, M. Q. (1990). Qualitative evaluation methods. (2nd ed.) Thousand Oaks, CA: Sage.18. Richardson, J. T. E. (1999). The concepts and methods of phenomenographic research. Review of Educational Research, 69

Conference Session

Beyond the Classroom

Collection

2015 ASEE Annual Conference & Exposition

Authors

Joyce B. Main, Purdue University, West Lafayette; Matilde L. Sanchez-Pena, Purdue University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

Universality-Diversity Scale. Meas. Eval. Couns. Dev. 33, 157–69 (2000).9. Kottke, J. L. Additional evidence for the short form of the Universality-Diversity Scale. Personal. Individ. Differ. 50, 464–469 (2011).10. Jesiek, B. K. The Origins and Early History of Computer Engineering in the United States. IEEE Ann. Hist. Comput. 35, 6–18 (2013).11. Richardson, J. W., Imig, S. & Ndoye, A. Developing Culturally Aware School Leaders Measuring the Impact of an International Internship Using the MGUDS. Educ. Adm. Q. 49, 92–123 (2013).12. Yeh, C. J. & Arora, A. K. Multicultural Training and Interdependent and Independent Self-Construal as Predictors of Universal-Diverse Orientation Among School Counselors. J. Couns. Dev

Conference Session

Qualitative Methodologies

Collection

2015 ASEE Annual Conference & Exposition

Authors

Elliot P. Douglas, University of Florida; Shawn S. Jordan, Arizona State University, Polytechnic campus; Micah Lande, Arizona State University, Polytechnic campus; Amy Elizabeth Bumbaco, University of Florida

Tagged Divisions

Educational Research and Methods

between the interviewer and astudent when the student was asked to define critical thinking.A Well, I would define critical thinking as the employment of reason in order to reach a conclusion especially in regards to problem solving.Q Okay. Um, can you elaborate a bit more on that, like give me more explanation to it? Page 26.235.3A Um, more explanation of?Q Your, what you believe, maybe your reas—how you reason through something.A Okay. Um, (pause) well, I mean, you have to, well, I mean, I consider the multiple aspects that, um, are, it’s hard to phrase, let’s see…This student is having

Conference Session

Mentoring, Advising, and Facilitating Learning

Collection

2016 ASEE Annual Conference & Exposition

Authors

Sudhir Kaul, Western Carolina University; Chip W. Ferguson, Western Carolina University; Paul M. Yanik, Western Carolina University; Yanjun Yan, Western Carolina University

Tagged Divisions

Educational Research and Methods

38% 2 35% Fig. 7. Survey Response – Question # 14 (I feel that undergraduate research is preparing me for more demanding research in the future).A summary of the results from all fifteen questions is provided in Table 1. It may be noted thatthe weighted average for each question is listed in the last column of this table. Table 1. Survey Responses – Summary. Survey Response (No. of students) Weighted Q 1 2 3 4 5 Response 1 6

Conference Session

Engineering Identity

Collection

2017 ASEE Annual Conference & Exposition

Authors

Allison Godwin, Purdue University, West Lafayette (College of Engineering); Walter C. Lee, Virginia Tech

Tagged Divisions

Educational Research and Methods

, Conference Proceedings. Virginia Tech, United StatesDepartment of Civil and Mechanical Engineering, U.S. Military Academy, West Point, United StatesCollege of Engineering, University of Notre Dame, United StatesDepartment of Engineering Education, United States: American Society for Engineering Education; 2011.4. Tonso KL. On the Outskirts of Engineering: Learning Identity, Gender, and Power via Engineering Practice. Rotterdam, Netherlands: Sense; 2007.5. Jorgenson J. Engineering Selves: Negotiating Gender and Identity in Technical Work. Manag Commun Q. 2002;15(3):350-380. doi:10.1177/0893318902153002.6. Du X-Y. Gendered practices of constructing an engineering identity in a problem-based learning

Conference Session

Project-Based Learning

Collection

2017 ASEE Annual Conference & Exposition

Authors

Paul M. Yanik, Western Carolina University; Chip W. Ferguson, Western Carolina University; Sudhir Kaul, Western Carolina University; Yanjun Yan, Western Carolina University

Tagged Divisions

Educational Research and Methods

(3.7%) expressed dissatisfaction. Table 2 – Open-ended design project survey results (percentages) on usefulness, project management, teaming and leadership: Strongly Agree (SA), Agree (A), Disagree (D), Strongly Disagree (SD).Q# Survey Item SA A D SD SA+A D+SD4 I enjoyed the open-ended design projects. 59.3 37.0 3.7 0.0 96.3 3.76 I gained knowledge and skills that may be applied to my career from participating in the open-ended design challenges. 37.0 59.3 3.7 0.0 96.3 3.71 The program’s PBL activities have helped me

Conference Session

Practice II: Curricular Innovations

Collection

2018 ASEE Annual Conference & Exposition

Authors

Sarah Hug, Colorado Evaluation & Research Consulting; Suzanne Eyerman, Fairhaven Research and Evaluation

Tagged Divisions

Educational Research and Methods

? Trustworthiness and authenticity in naturalistic evaluation. New directions forevaluation, 2007(114), 11-25.[10] Patton, M. Q. (1999). Enhancing the quality and credibility of qualitative analysis. Healthservices research, 34(5 Pt 2), 1189.[11] Geertz, C. (1994). Thick description: Toward an interpretive theory of culture. Readings inthe philosophy of social science, 213-231.[12] Tharp, R. G., & Gallimore, R. (1991). Rousing minds to life: Teaching, learning, andschooling in social context. Cambridge University Press.[13] National Research Council. (2014). Developing assessments for the next generation sciencestandards. National Academies Press.[14] Brown, A. L., & Campione, J. C. (1994). Guided discovery in a community of learners. TheMIT Press

Conference Session

Using Technology to Enhance Teaching and Learning

Collection

2007 Annual Conference & Exposition

Authors

Pilar Pazos, Northwestern University; Robert Linsenmeier, Biomedical Engineering Department and Department of Neurobiology and; Suzanne Olds, Northwestern University

Tagged Divisions

Educational Research and Methods

results fromthe statistical analyses suggest that coupling peer discussion with PRS use can enhance students’ability to actively construct knowledge in class.References1. National Research Council. (1996). National science education standards. .Washington, DC:National Academy Press.2. Wulf, W. A., & Fisher, G M. C (2002). A makeover for engineering education. Issues in Science andTechnology. Online, http://www.nap.edu/issues/18.3/p_wulf.html.3 . Ebert-May, D., Brewer, C., Allred, S. (1997). Innovation in Large Lectures: Teaching for Active Learning.BioScience, 47(9), pp. 601-607.4. Kennedy, G. E.; Cutts, Q. I.(2005). The association between students' use of an electronic voting system and their

Conference Session

Educational Research & Methods Poster Session

Collection

2010 Annual Conference & Exposition

Authors

Robert Ryan; Nhut Ho; Shelley Bartenstein

Tagged Divisions

Educational Research and Methods

Page 15.413.8higher scores for only three criteria (one criteria was the same, and R1 had to leave thepresentation early and was not present for the Q/A session, and thus did not respond with respectto Criterion 7). This is consistent with scores from the HPV presentation, and appears to reflect asystematic difference between these two reviewers.With respect to the comparison of faculty and alumni scores, the most significant differencesoccur for Criteria 1, 7, and 9 (Organization, Questions and Answers, and Problem Definition).The alumni’s familiarity with the FSAE competition may help to explain their more generousevaluation of Criteria 1 and 9. The higher alumni score given to the Question and Answercriterion is consistent with the student

Conference Session

Student Learning, Problem Solving, & Critical Thinking 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Oluwatosin Alabi, Purdue University, West Lafayette; Alejandra J. Magana, Purdue University, West Lafayette; R. Edwin Garcia, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

34, 393-404 (2010).16 Bartol, A., García, E. R., Ely, D. R. & Guyer, J. The Virtual Kinetics of Materials Laboratory, (2012).17 Magana, A. J., Brophy, S. P. & Bodner, G. M. An Exploratory Study of Engineering and Science Students' Perceptions of nanoHUB. org Simulations. International Journal of Engineering Education 28, 1019 (2012).18 Ely, D. R. & García, R. E. (n.d) Introduction to the Modeling of Rechargeable Batteries Retrieved October 2013, from https://nanohub.org/groups/mse597batterymodeling/wiki/MainPage.19 Polya, G. How to solve it: A new aspect of mathematical method. (Princeton University Press, 2008).20 Patton, M. Q. Qualitative evaluation and research methods. 3 edn, (Sage

Conference Session

Methodological & Theoretical Contributions to Engineering Education 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Lauren D. Thomas, University of North Carolina at Chapel Hill

Tagged Divisions

Educational Research and Methods

). Thousand Oaks, CA: Sage.[26] Czarniawska, B. (2004). Narratives in social science research. Thousand Oaks, CA: Sage.[27] Ollerenshaw, J. A., J.W. Creswell. (2002). Narrative research: A Comparison of two restorying dataanalysis approaches. Qualitative Inquiry, 8(329), 329-347.[28] Patton, M. Q. (2006). Qualitative Research and Evaluation Methods. Thousand Oaks, CA: SagePublications.!!!!! !! !!!! ! ! Page 24.688.11

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

Engineering Education Research in K-12

Collection

2011 ASEE Annual Conference & Exposition

Authors

Gamze Ozogul, Arizona State University; Martin Reisslein, Arizona State University; Amy Marcelle Johnson, University of Memphis

Tagged Divisions

Educational Research and Methods, K-12 & Pre-College Engineering

-427.[14] Dunsworth, Q., & Atkinson, R. K. (2007). Fostering multimedia learning of science: Exploring the role of an animated agent’s image. Computers and Education, 49, 677-690.[15] Yung, H.I. (2009). Effects of an animated pedagogical agent with instructional strategies in multimedia learning, Journal of Educational Multimedia and Hypermedia. 18(4), 453-466.[16] Murray, M., & Tenenbaum, G. (2010). Computerized pedagogical agents as an educational means for developing physical self-efficacy and encouraging activity in youth. Journal of Educational Computing and Research. 42(3), 267-283.[17] Moreno R., Reisslein, M., & Ozogul, G. (2010). Using virtual peers to guide visual attention during learning: A test

Conference Session

They're Not "Soft" Skills!

Collection

2011 ASEE Annual Conference & Exposition

Authors

Ruth Wertz P.E., Purdue University, West Lafayette; Meagan C. Ross, Purdue University, West Lafayette; Senay Purzer, Purdue University, West Lafayette; Michael Fosmire, Purdue University Libraries, West Lafayette; Monica E. Cardella, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

? Can they be assessed? Journal of Engineering Education 94, 41-55 (2005).2. Lattuca, L.R., Terenzini, P.T. & Volkwein, J.F. Engineering Change: A Study of the Impact of EC2000, (ABET, Baltimore, MD, 2006).3. Holliday, W. & Li, Q. Understanding the Millenials: Updating Our Knowledge About Students. Reference Service Review 32, 356-366 (2004).4. Brophy, J. & Bawden, D. Is Google Enough? Comparison of an Internet Search Engine with Academic Resources. New Information Perspectives 57, 498-512 (2005).5. Denick, D., Bhatt, J. & Layton, B. Citation Analysis of Engineering Design Reports for Information Literacy Assessment. in 2010 American Society for Engineerin Education Annual Conference &