Conference Session

ERM Technical Session 1: Methods Refresh: Approaches to Data Analysis in Engineering Education Research

Collection

2019 ASEE Annual Conference & Exposition

Authors

Manoj Malviya, Pennsylvania State University; Catherine G.P. Berdanier, Pennsylvania State University; Natascha Trellinger Buswell, University of California, Irvine

Tagged Divisions

Educational Research and Methods

be possible that the writer is doing multiple thingsat once resulting in multiple code for a single time interval. If categories occur simultaneously, thecodes are sorted in ascending order to make the data organized. We implemented an overlappingprocedure approach presented in [18] to incorporate multiple codes. We selected a data thresholdsuch that short time intervals (< ~3 s) were ignored. After manipulating the data, an agreementmatrix is formed similar to shown in Table 1, on which any statistical IRR calculation can beexecuted (Cohen’s Kappa, Krippendorff’s Alpha, Scott’s Pi, etc.). Figure 2. An example of eliminating the time overlapping issue The limitations of a purely statistical approach to calculating

Conference Session

Student Engagement and Motivation

Collection

2008 Annual Conference & Exposition

Authors

Linda Vanasupa, California Polytechnic State University; Trevor Harding, California Polytechnic State University; William Hughes, California Polytechnic State University

Tagged Divisions

Educational Research and Methods

thesmall “s” near the arrow head indicating that changes in one cause changes in the samedirection in the other. So, a student’s internal drive for learning can be strengthened byenhancing any one of the three internal constructs. As an example, if a student is moreinterested in a topic, they have a greater motivation to learn which has been shown tolead to a greater exercise of autonomous actions to engage in learning12. Theserelationships work in the reverse direction as well. For example, someone who is notinterested in what they are learning will also exhibit a lower motivation.Engaging the internal drive for developmentFigure 1 lays out the conceptual idea of the learner as one with an internal drive forlearning within the context of their

Conference Session

Student Recruitment and Retention

Collection

2008 Annual Conference & Exposition

Authors

P.K. Imbrie, Purdue University; Joe Jien-Jou Lin, Purdue University; Alexander Malyscheff, Purdue University

Tagged Divisions

Educational Research and Methods

the Gathering Storm: Energizing and Employing America for a Brighter Economic Future,National Academies Press, Washington, D.C., 2005.3. Beaufait, F. W. (1991). Engineering Education Needs Surgery, Proceedings of the Frontiers in EducationConference, September 1991, pp. 519-522.4. Astin, A. W. (1993). Engineering Outcomes, ASEE Prism, September 1993, pp. 27-305. Maller, S., Immekus, J., Imbrie, P. K., Wu, N. and McDermott, P. (2005).Work In Progress: An Examination ofEngineering Students’ Profile Membership Over the Freshman Year, Proceedings of the Frontiers in EducationConference, 2005.6. Imbrie, P. K. and Lin, J.J. (2007). Use of a Neural Network Model and Noncognitive Measures to PredictStudent Matriculation in Engineering, Proceeding of

Conference Session

Modeling Student Data

Collection

2009 Annual Conference & Exposition

Authors

Micah Lande, Stanford University; Sarah Parikh, Stanford University; Sheri Sheppard, Stanford University; George Toye, Stanford University; Helen Chen, Stanford University; Krista Donaldson, Stanford University

Tagged Divisions

Educational Research and Methods

Thematic Topics Advising: a. …I had difficulty getting any advising help… (2, Advising) b. …the academic advising from [my institution]’s central advising has been incorrect, inconsistent, and typically rubbish (at best) (2, Advising) Co-op: c. …Co-ops are the key to learning what engineering is like… (4, Co-op) d. I had very little idea of what a job in engineering consisted of before I became a co-op student. I think these types of programs are crucial to creating capable engineers. (4, Co-op

Conference Session

Knowing Our Students, Faculty, and Profession

Collection

2009 Annual Conference & Exposition

Authors

Marisa Orr, Clemson University; Zahra Hazari, Clemson University; Philip Sadler, Science Education Department, Harvard-Smithsonian Center for Astrophysics; Gerhard Sonnert, Science Education Department, Harvard-Smithsonian Center for Astrophysics

Tagged Divisions

Educational Research and Methods

Integrated Postsecondary Education Data System (IPEDS), Fall 2006.2. Lent, R. W., Brown, S. D., & Hackett, G. (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance. Journal of Vocational Behavior, 45(1), 79-122. Page 14.306.93. Vroom, V. H. (1964). Work and motivation. New York: Wiley.4. Bandura, A. (1986). Social foundations of thought and action : A social cognitive theory. Englewood Cliffs, N.J.: Prentice-Hall.5. Fouad, N. A., & Smith, P. L. (1996). A test of a social cognitive model for middle school students: Math and science. Journal of

Conference Session

Student Attitudes and Perceptions

Collection

2009 Annual Conference & Exposition

Authors

Johannes Strobel, Purdue University; Inez Hua, Purdue University; Jun Fang, Purdue University; Constance Harris, Purdue University; Lindsey Tracy, Purdue University

Tagged Divisions

Educational Research and Methods

, 1978; North American Association forEnvironmental Education, 1999). Despite this, ‘two-thirds of adult Americans consistently failsimple tests of environmental knowledge’2.It can only be imagined, how much high school and beginning college students know aboutenvironmental and ecological engineering and are aware that engineering is a major careerchoice for students who want to make an environmentally and ecologically sustainable impact.The following examples demonstrate that engineering skills and knowledge are essential toenvironmental protection and enhancement. First, would a person switch from a standardresidential home to an “energy efficient home”, if s/he knew that the carbon footprint, use ofenergy, and greenhouse gas emissions of

Conference Session

Climate Issues for Women Students

Collection

2006 Annual Conference & Exposition

Authors

Ashlyn Munson; Barbara Moskal, Colorado School of Mines; Wanda Dann, Ithaca College; Stephen Cooper, Saint Joseph's University

Tagged Divisions

Educational Research and Methods

determine the effectiveness of thecurriculum at higher learning institutions, similar attitude and aptitude data are being collected. Efforts arealso underway to examine whether the Alice software can be used to introduce middle school and highschool students to programming concepts.Acknowledgments:We would like to thank Dr. William Navidi from the Colorado School of Mines for his assistance with thestatistical analysis. We would also like to thank Dr. Tracy Camp from the Colorado School of Mines forher consultation regarding computer science education.References1. Cooper, S., Dann, W., & Moskal, B. Java-Based Animation in Building viRtual Worlds for Object-oriented programming in Community colleges. NSF-DUE-0302542.2. Alice v2.ob Learn to

Conference Session

Knowing Our Students III

Collection

2006 Annual Conference & Exposition

Authors

Brad Kinsey, University of New Hampshire; Erick Towle, University of New Hampshire; Grace Hwang, University of New Hampshire; Edward J. O'Brien, University of New Hampshire; Christopher F. Bauer, University of New Hampshire

Tagged Divisions

Educational Research and Methods

Foundation, 2002, NSB-02-1.3. Sorby, S., “Improving the Spatial Skills of Engineering Students: Impact on Graphics Performance and Retention”, Engineering Design and Graphics Journal, Vol. 65, No. 3, 2001, pp. 31-6.4. Hsi, S., M. Linn, and J. Bell “The Role of Spatial Reasoning in Engineering and the Design of Spatial Instruction”, Journal of Engineering Education, April, 1997, pp. 151-8.5. Rochford, K., A.P. Fairall, A. Irving, and P. Hurly, “Academic Failure and Spatial Visualization Handicap of Undergraduate Engineering Students”, International Journal of Applied Engineering Education, Vol. 6, No. 5, 1989, pp. 741-9.6. Poole, C. and G. Stanley, “A Factorial and Predictive Study of Spatial Ability”, Australian Journal of

Conference Session

Reflection

Collection

2017 ASEE Annual Conference & Exposition

Authors

Damji Heo Stratton, Purdue University; Saira Anwar, Purdue University, West Lafayette (College of Engineering); Muhsin Menekse, Purdue University, West Lafayette (College of Engineering)

Tagged Divisions

Educational Research and Methods

College. Her research interest revolves around software estimation, software design and curriculum design of software engineering course(s).Dr. Muhsin Menekse, Purdue University, West Lafayette (College of Engineering) Muhsin Menekse is an assistant professor at Purdue University with a joint appointment in the School of Engineering Education and the Department of Curriculum & Instruction. Dr. Menekse’s primary research investigates how learning activities affect students’ conceptual understanding of engineering and science concepts. His second research focus is on verbal interactions that can enhance productive discussions in collaborative learning settings. And his third research focus is on metacognition and its

Conference Session

Learning from Industry

Collection

2017 ASEE Annual Conference & Exposition

Authors

Grace Panther, Oregon State University; Devlin Montfort, Oregon State University; Zachary Pirtle, Human Exploration and Operations Mission Directorate, NASA Headquarters

Tagged Divisions

Educational Research and Methods

of their thermaldesign margins explaining how they are using a model and sensitivity analysis before concludingthat many different situations had been considered. Therefore, while the project expertunderstood the complexity of the design and discussed the actual quantified margins ofuncertainty, we see by move 4’s question that this explanation was insufficient for the reviewer.At this point, we see the manager interject in move 4 in an attempt to explain in a differentmanner by indicating that some parts can be changed out to help with the thermal balancing,suggesting the use of a simulator, and insisting that the project expert has done everything theycan at this point. At a CDR there can still be uncertainties about the overall project

Conference Session

Student Perceptions of Self-efficacy, Success, and Identity

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Juebei Chen, Aalborg University; Anette Kolmos, Aalborg University; Xiangyun Du, Qatar University

Tagged Divisions

Educational Research and Methods

: https://doi.org/10.18260/p.26122[7] H. M. Matusovich, B. E. Barry, K. Meyers, and R. Louis, “A multi-institution comparison of identitydevelopment as an engineer,” in Proceedings of ASEE Annual Conference and Exposition, 2011.[8] A. B. Hunter, S. L. Laursen, and E. Seymour, “Becoming a scientist: The role of undergraduate researchin students’ cognitive, personal, and professional development,” Science Education, vol. 91, no. 1, pp. 36-74,2007.[9] M. R. Kendall, M. Denton, N. H. Choe, S. Member, L.M. Procter, and M. Borrego, “Development ofLatinx students,” IEEE Transactions on Education, vol. 15, no. 3, pp. 1-8, 2019.[10] A. Patrick, L. Martins, M. Borrego, N. Choe, C. Seepersad, and M. Kendall, “Constructing a measure ofaffect towards

Conference Session

Practice III: Multimedia Learning

Collection

2018 ASEE Annual Conference & Exposition

Authors

Petr Johanes, Stanford University

Tagged Divisions

Educational Research and Methods

instruction and learning research can only benefit the learning researchcommunity.AcknowledgementsThe author gratefully acknowledges the financial support and guidance we received fromStanford’s Office of the Vice Provost for Teaching and Learning.References[1] D. L. Schwartz and K. Hartman, “It is not television anymore: Designing digital video for learning and assessment,” Video Res. Learn. Sci., pp. 335–348, 2007.[2] L. R. Lagerstrom and P. Johanes, “Online Videos: What Every Instructor Should Know,” Comput. Educ. J., vol. 8, no. 1, pp. 67–79, 2017.[3] S. McCloud, Reinventing Comics: How Imagination and Technology Are Revolutionizing an Art Form. HarperCollins, 2000.[4] J. Baetens and H. Frey, The Graphic Novel: An Introduction

Conference Session

ERM Technical Session 15: Perspectives on Engineering Careers and Workplaces

Collection

2019 ASEE Annual Conference & Exposition

Authors

Matthew Stephen Barner, Oregon State University; Shane A. Brown P.E., Oregon State University; Sean Lyle Gestson, Oregon State University

Tagged Divisions

Educational Research and Methods

thesecontexts might differ across the engineering classroom and workplace could illuminate potentialavenues and best practices for bridging the education-practice gap. Ethnographic methodsprovide a well-suited methodology for exploring in depth the social and material contexts of theengineering workplace and classroom because these methods situate the researcher(s) withinthese contexts for an extended period of time.Methods: The ethnographic methods employed in this study consisted of field notes of activitiesparticipated in and observed, artifact documentation, and informal and formal interviews. Theresearch sites where these methods were conducted were within a medium-sized structuralengineering department at a private architecture and

Conference Session

Faculty Development II: Building Community Among STEM Educators

Collection

2016 ASEE Annual Conference & Exposition

Authors

Katherine G. Nelson, Arizona State University; Ann F. McKenna, Arizona State University, Polytechnic campus; Rocio C. Chavela Guerra, American Society for Engineering Education; Russ Pimmel, University of Alabama (Emeritus)

Tagged Divisions

Educational Research and Methods

offer more evidence for the presence of differences for theawareness of, attitudes for, and adoption of research-based educational practices. Additional datafrom the participants would possibly offer more confirmation of our findings. Overall, our data provides preliminary evidence to support framing faculty developmentmodels around courses because it may lead to higher adoption rates of research-basededucational practices in engineering classrooms.References1. Singer, S. R., Nielsen, N. R., & Schweingruber, H. A. (Eds.). (2012). Discipline-based education research: understanding and improving learning in undergraduate science and engineering. National Academies Press.2. Henderson, C., & Dancy, M. H. (2011

Conference Session

Works in Progress: Classroom Practice

Collection

2016 ASEE Annual Conference & Exposition

Authors

Bill D. Bailey, Kennesaw State University; Gregory L. Wiles P.E., Kennesaw State University; Thomas Reid Ball, Kennesaw State University

Tagged Divisions

Educational Research and Methods

). Using blended learning to foster education in a contemporary classroom. Transformative Dialogues: Teaching & Learning Journal, 5(2), 1–11.2. Boyle, T. (2005). A dynamic, systematic method for developing blended learning. Education, Communication & Information, 5(3), 221–232.3. Bassett, E., & Gallagher, S. (2005). Students prefer hybrids to fully online courses. Recruitment & Retention in Higher Education, 19(8), 7–8.4. Gecer, A., & Dag, F. (2012). A blended learning experience. Educational Sciences: Theory & Practice, 12(1), 438–442.5. Musawi, A. S. A. (2011). Blended learning. Journal of Turkish Science Education (TUSED), 8(2), 3–8.6. George-Palilonis, J., & Filak, V. (2009). Blended

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

: What Effective Teachers Think. (Doctoral dissertation, University of Washington) June, 2006.2. Bruning, R. H., Schraw, G. J. & Ronning, R. R. (1999). Cognitive psychology and instruction. Upper Saddle River, NJ: Prentice-Hall, Inc.3. Clark, C. M. (1995). Thoughtful Teaching. New York: Teachers College, Columbia University.4. Fenstermacher, G. D. (1979). A philosophical consideration of recent research on teacher effectiveness. In L. S. Shulman (Ed.), Review of Research in Education, 6. (pp. 157-185). Itasca, IL: F. E. Peacock Publisher.5. Carberry, A. R. (2014). Investigating the role teacher and student engineering epistemological beliefs plan in engineering education. In J. Heywood & A. Cheville (Eds

Conference Session

Examining "Big" Data

Collection

2015 ASEE Annual Conference & Exposition

Authors

George D. Ricco, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

): p. 543-562.13. Galton, M. and T. Pell, Do class size reductions make a difference to classroom practice? The case of Hong Kong primary schools. International Journal of Educational Research, 2012. 53(0): p. 22-31.14. Raimondo, H.J., L. Esposito, and I. Gershenberg, Introductory Class Size and Student Performance in Intermediate Theory Courses. Journal of Economic Education, 1990. 21(4): p. 369-381.15. Beekhoven, S., U. De Jong, and H. Van Hout, Different courses, different students, same results? An examination of differences in study progress of students in different courses. Higher Education, 2003. 46(1): p. 37-59.16. Wood, K., A.S. Linsky, and M.A. Straus, Class Size and Student Evaluations of Faculty. Journal

Conference Session

Curricular Innovations 1

Collection

2017 ASEE Annual Conference & Exposition

Authors

Mark J Indelicato, Rochester Institute of Technology (CAST); Miguel Bazdresch, Rochester Institute of Technology (CAST); George H Zion, Rochester Institute of Technology (CAST); Joseph (Yossi) Nygate, Rochester Institute of Technology (CAST); Surabhi M Sarda, Rochester Institute of Technology (COE)

Tagged Divisions

Educational Research and Methods

research 1. Its questions are tailored to identify students’ implicit assumptions in aspecific field and may be applied both pre- and post-instruction. There is no currently existing CIfor networking and telecommunications. Our initial results seem to suggest that the developmentof a CI for this field would be very useful. However, we would like this CI to be applicable to adiverse set of students, with respect to both their culture and their educational level(undergraduate and graduate). At the moment, the development of such a CI is still in an earlystage.In summary, this study expands the breadth of knowledge on student preconceptions in STEMby including the subject of QoS in telecommunications, identifying some of thepreconception(s

Conference Session

Active Learning Methods in Action

Collection

2018 ASEE Annual Conference & Exposition

Authors

Megan Sanders, Colorado School of Mines; Sam Spiegel, Colorado School of Mines; Jennifer Zoltners Sherer, University of Pittsburgh

Tagged Divisions

Educational Research and Methods

. For this reason, we argue that theELCOT can serve an important role in helping the field of Engineering Education take “a morenuanced approach to active learning” (Streveler & Menekse, 2017, p. 189). ReferencesFreeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410-8415.Prince, M. (2004). Does active learning work? A review of the research. Journal of Engineering Education, 93(3), 223-231.Resnick, L. B. (1999, June 16). Making America smarter. Education Week Century

Conference Session

Design Thinking and Creativity

Collection

2018 ASEE Annual Conference & Exposition

Authors

Kevin Calabro, University of Maryland, College Park

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

.  ● Cognitive training:  instruction aimed to help students understand how systems and  devices work, what principles govern the operation of these components, and describing  case studies of prototypical failures that students may latter draw analogies from.  ● Troubleshooting stations:  instructional method where students are intentionally  provided poor performing designs and scaffolded in identifying the cause(s) of the  problems and asked to improve the performance of the component.  ● Teacher modeling:  a form of coaching in which a teacher demonstrates for students how  they analyze a component that is not performing well.     In addition to describing four teaching strategies that may address

Conference Session

Alternatives to Traditional Assessment

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Lauren Singelmann, North Dakota State University; Enrique Alvarez Vazquez, North Dakota State University; Ellen M. Swartz, North Dakota State University; Mary Pearson, North Dakota State University; Ryan Striker P.E., North Dakota State University

Tagged Divisions

Educational Research and Methods

/criteria-for-accrediting-engineering-programs-2016- 2017/GC3 [2] N. A. of Engineering, The engineer of 2020: Visions of engineering in the new century. National Academies Press, 2004. [3] H. J. Passow and C. H. Passow, “What competencies should undergraduate engineering programs emphasize? a systematic review,” Journal of Engineering Education, vol. 106, no. 3, pp. 475–526, 2017. [4] J. Looney, “Assessment and innovation in education,” 2009. [5] J. Biggs, “What the student does: teaching for enhanced learning,” Higher Education Research & Development, vol. 31, no. 1, pp. 39–55, 2012. [6] S. M. Land, “Cognitive requirements for learning with open-ended learning environments,” Educational Technology Research and Development

Conference Session

The Critical First Year in Engineering Education

Collection

2007 Annual Conference & Exposition

Authors

Dan Budny, University of Pittsburgh; Alaine Allen, University of Pittsburgh; Jessica Quarcoo, University of Pittsburgh

Tagged Divisions

Educational Research and Methods

random roommate , would you? 100% 90% 80% 70% Percentage (%) 60% Males 50% Females 40% 30% 20% 10% 0% Yes No Re s pons e Males Vs. Female 90.00% 80.00

Conference Session

Research Informing Teaching Practice II

Collection

2012 ASEE Annual Conference & Exposition

Authors

Sensen Li, Purdue University, West Lafayette; Sean P. Brophy, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

State School Officers). Washington, DC: Council of Chief State School Officers.[4] Sadler, D. R. (1998). Formative assessment: revisiting the territory. Assessment in Education, 5(1), 77–84.[5] Brophy, S. P., Klein, S., Portsmore, M., & Rogers, C. (2008). Advancing engineering education in the P-12classrooms. Journal of Engineering Education 97(3), 369–387.[6] Roselli, R. J., & Brophy, S. P. (2006). Experiences with formative assessment in engineering classrooms.Journal of Engineering Education, 95(4), 325-333.[7] Biesta, G .(2004). Mind the gap! Communication and the educational relation. In Bingham, C., & Sidorkin,A .eds. No Education without relation. New York: Peter Lang.[8]Mazur, E. (1997). Peer Instruction: A user's manual

Conference Session

Trends in Engineering Education 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

Eden Fisher, Carnegie Mellon University; Indira Nair, Carnegie Mellon University; Mustafa A. Biviji, E2RG

Tagged Divisions

Educational Research and Methods

social value all over the world. In 2009 and 2010, the expert, who had led the initial recycling project team in the1970’s, presented the aluminum can recycling story to an interdisciplinary class ofengineering students in the course “Innovation for Energy and the Environment.” Asfollow up to the class, a quiz was given to test recollection of the “who, what, when,where, why and how” of the history of can recycling.The aluminum can recycling story lecture was well received, and student performance onthe quiz was good, but the expert was not satisfied that the class was serving the purposeof teaching students how to innovate, as the class was specifically offered to students inthe Engineering & Technology Innovation Management professional

Conference Session

Student Learning, Problem Solving, & Critical Thinking 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

Ben D Radhakrishnan, National University

Tagged Divisions

Educational Research and Methods

faculty questions being raised regarding SCL and on the futureimpacts of technology.Student Centric Learning Practices BackgroundLiterature survey credits the concept of SCL to Hayward and the writings of Dewey (1956), andmore recognition for this methodology came during the 80’s and 90’s [2]. Early discussions werefocused on the shifting of power from the teacher to the student: empowering the students, expandand encourage interaction among students and changing the major information flow away fromone-to-many (old traditional instruction). In another well-known research by Craik and Lockhart,it was proven that learning and retention are related to the depth of mental processing [3]. Thepractices and techniques of SCL engage students in a very

Conference Session

Methodological & Theoretical Contributions to Engineering Education 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Yakut Gazi, Texas A&M University

Tagged Divisions

Educational Research and Methods

. Schaller and C. S. Crandall (Eds.) The psychological foundations of culture. (pp. 335-360). Mahwah, NJ: Lawrence Erlbaum Associates.[2] American Council on Education (n.d.) Adult learners. [Online] http://www.acenet.edu/higher- education/topics/Pages/Adult-Learners.aspx, Retrieved January 4, 2014.[3] Anderson, W. (2013). Independent learning. In M. G. Moore and W. G. Anderson (Eds.) Handbook of distance education (pp. 86-103). Mahwah, NJ: Lawrence Erlbaum.[4] Blaschke, L. M. (2012). Heutagogy and lifelong learning: A review of heutagogical practice and self- determined learning. The International Review of Research in Open and Distance Learning. [Online] http://www.irrodl.org/index.php/irrodl/article/view/1076/2087, Retrieved

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

conversations around improvementand accountability (Borden, 2005).Cabrera et al.’s (2005) review of alumni research also suggest that alumni surveys may be mostimpactful when they are incorporated into a comprehensive strategy for data collection that couldbegin when parents and children start to make plans for college. Findings about alumni fromPEARS and the Engineering Pathways Study which build upon and potentially extend theresearch based on APPLES and the Academic Pathways Study on undergraduate experiencesmay be able to make this kind of contribution to the broader engineering education field. It isour hope that the findings from PEARS will contribute to the literature on the relationship

Conference Session

Active and Inquiry-Based Learning

Collection

2011 ASEE Annual Conference & Exposition

Authors

Michael J. Prince, Bucknell University; Margot A. Vigeant, Bucknell University; Katharyn E. K. Nottis, Bucknell University

Tagged Divisions

Educational Research and Methods

novices’ knowledge. In K.A. Ericsson, N. Charness, R. R. Hoffman, & P. J. Feltovich (Eds.), The Cambridge handbookof expertise and expert performance (pp. 167-184). Cambridge: Cambridge UniversityPress.Chi, M. T. H. 2008 Three types of Conceptual Change: Belief Revision, Mental Model Transformation,and Categorical Shift. In Handbook of Research on Conceptual Change, S. Vosniadou, Ed, New York:Routledge.Cronk, B. C. (2010), How to use PASW Statistics: A step-by-step guide to analysis and interpretation (6th ed), (Glendale, CA: Pyrczak).Evans, D., Gray, Gary, Krause, Stephen, Martin, J., Midkiff, C., Notaros, B., Pavelich, M., Rancour, D.,Reed-Rhoads, T., Steif, P., Streveler, R., and Wage, K. 2003. Progress on Concept Inventory

Conference Session

Digital Technologies and Learning

Collection

2011 ASEE Annual Conference & Exposition

Authors

Michael Hergenrader, University of Southern California, Information Sciences Institute; Joanna Drummond, University of Pittsburgh; Jihie Kim, University of Southern California

Tagged Divisions

Educational Research and Methods

can automatically analyze discussion datasets. These classifiers can enable us to efficiently process a lot more data via machine learningand thus provide even more representative results. Continuing to explore question-answerpatterns with accurate results will ultimately help instructors to better diagnose student needs in avirtual classroom context.1 Ahem, T.C., Cooper, S., Lan, W., Liu, X., Shaw, S., Tallent-Runnels, M.K., and Thomas, J.A. (2006). Teaching Courses Online: A Review of the Research. Review of Educational Research, 76: 1, 93-135.2 Drummond, J., Kim, J. (2011). Role of Elaborated Answers on Degrees of Student Participation in an Online Question-Answer Discussion Forum, American Educational Research

Conference Session

Student Attitudes and Perceptions

Collection

2010 Annual Conference & Exposition

Authors

Dazhi Yang, Purdue University; Aidsa Santiago Roman, University of Puerto Rico, Mayagüez; Ruth Streveler, Purdue Universtiy; Ronald Miller, Colorado School of Mines; James Slotta, University of Toronto; Michelene Chi

Tagged Divisions

Educational Research and Methods

that is being driven towardequilibrium; or a detailed description about the behaviors of a single "element" (molecule, etc)and how it is independent, that participant’s response was coded as 1, otherwise it was coded as0. After the coding, we summed all the “1”s and “0”s for both groups of participants andconducted a nonparametric two independent samples test between the experimental and controlgroups because a nonparametric test makes minimal assumptions about the underlyingdistribution of the data. 9 The following section presents qualitative results.Diffusion Qualitative Results Based on the 22 verbal explanation questions on diffusion, the overall mean for theexperimental group (17.03) was much larger than that (2.97) of the control