Conference Session

New Learning Paradigms II

Collection

2010 Annual Conference & Exposition

Authors

Ming-Chien Hsu, Purdue University; Monica Cardella, Purdue University; Senay Purzer, Purdue University

Tagged Divisions

Educational Research and Methods

Education; National Academy of Engineering and National ResearchCouncil, Engineering in K-12 Education: Understanding the Status and Improving the Prospects. The NationalAcademies Press: Washington, D.C., 2009.6. Yasar, S.; Baker, D.; Robinson-Kurpius, S.; Krause, S.; Roberts, C., Development of a survey to assess K-12 teachers’ perceptions of engineers and familiarity with teaching design, engineering, technology. Journal ofEngineering Education 2006, 95, (3), 205-216.7. Bailey, R.; Szabo, Z., Assessing engineering design process knowledge. International Journal ofEngineering Education 2006, 22, (3), 508-518.8. Bailey, R., Comparative study of undergraduate and practicing engineer knowledge of the roles of problemdefinition

Conference Session

Educational Research and Methods Potpourri II

Collection

2011 ASEE Annual Conference & Exposition

Authors

James E. Lewis, University of Louisville; Cathy Bays

Tagged Divisions

Educational Research and Methods

course time restrictions and itwas based on puzzle questions that may not accurately identify critical thought.DiscussionThis paper focuses on the beginning portion of the study involving three cohorts and their fouracademic years at the University of Louisville. The freshman data on the CA (critical thinkingassignment) and the IFR (independent faculty rating) of the CA is being used to create thebaseline for comparison as each of thecohorts’ progress through their academic careers at J.B.Speed School of Engineering. The second year data have been collected for two cohorts, butcohort 2 has not been analyzed yet. The IFR for cohort 2’s second year will be completed in2011.Table 4 shows the freshman data for each cohort. Since the pre/post CTA was

Conference Session

Knowing Ourselves: Research on Engineering Education Researchers

Collection

2011 ASEE Annual Conference & Exposition

Authors

Stephanie M. Gillespie, University of Miami; Ann F. McKenna, Arizona State University, Polytechnic campus; Russell Pimmel, National Science Foundation

Tagged Divisions

Educational Research and Methods

. (2008). Revolutionizing education through innovation: Can openness transform teaching and learning?. In T. IIoyshi & M. S. Vijay Kumar (Eds.), Opening up education: The collective advancement of education through open technology, open content, and open knowledge (pp. 261-276). Retrieved on 3/11/11 from http://mitpress.mit.edu/catalog/item/default.asp?ttype=2&tid=11309&mode=toc4. Froyd, J. E. (2008). White paper on promising practices in undergraduate STEM education. Paper presented at the Workshop on Evidence on Promising Practices in Undergraduate Science, Technology, Engineering, and Mathematics (STEM) Education, Retrieved from http://www.physics.emory.edu/Faculty/weeks/journal/froyd- na08.pdf on 3/11

Conference Session

Special Session: Impacts of Service in Engineering

Collection

2010 Annual Conference & Exposition

Authors

Kurt Paterson, Michigan Technological University

Tagged Divisions

Educational Research and Methods

that does not require the effort in the first place.Yet, thoughtfully planned and executed, assessment evidence can powerfully affect manypersistent institutional challenges including resource allocation, curricular design, value creation,institutional reputation, and student enrollment, among others.6. Bibliography[1] Lawson, S. and R. Dragusanu. 2008. Buiding the World: Mapping Infrastructure Demand. Goldman SachsGlobal Economics Paper No: 166. 20 pp.[2] AAEE. 2008. Environmental Engineering Body of Knowledge Summary Report, Environmental Engineer:Applied Research and Practice, Summer 2008, 21-33.[3] ASCE. 2008. Civil Engineering Body of Knowledge for the 21st Century: Preparing the Civil Engineer for theFuture. Second Edition. American

Conference Session

Student Learning, Problem Solving, & Critical Thinking 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Micah Lande, Arizona State University, Polytechnic campus

Tagged Divisions

Educational Research and Methods

Conceptions of Design: Implications for the Design of Learning Environments In C.M. Eastman, W.M. McCracken & W. Newstetter (eds.), Design Learning and Knowing: Cognition in Design Education. New York: Elsevier Press.8. Atman, C. J., Kilgore, D., & McKenna, A. (2008). Characterizing Design Learning: A Mixed-Methods Study of Engineering Designers’ Use of Language. Journal of Engineering Education, 97(3), 309-326.9. Dubberly, H. Innovation Models, Prepared for the Institute for the Creative Process, Alberta College of Art and Design. http://www.dubberly.com. Accessed October 7, 2010.10. Mosborg, S, R Adams, R Kim, C Atman, J Turns & M Cardella (2005). Conceptions of the Engineering Design Process: An Expert Study of

Conference Session

Studies of Shifting In-person Courses to Online and Students' Online Behavior

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Beata Johnson, Purdue University, West Lafayette; Andrew Whitehead, Purdue University, West Lafayette; Joyce B. Main, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

thematic analysis approach, followingBraun & Clark’s six-phase method [20]. We first read the interview transcripts for familiarity,recording memos with summaries and initial reactions and analysis. We then re-read thetranscripts, generating initial codes and beginning to identify themes with respect to our researchquestion. We then reviewed the transcripts again to further develop the themes. We drew onNowell et al.’s [21] approach to conducting and reporting trustworthy thematic analysis. Tworesearch team members each reviewed each transcript to begin engaging with the data. We thencoded five interview transcripts together to develop a coding scheme and begin to identifythemes. We used both inductive codes and deductive codes. We developed

Conference Session

Studies of Classroom Assessment: Exam Wrappers, Equitable Grading, Test Anxiety, and Use of Reflection

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Kenya Z. Mejia, University of Washington; Jennifer A. Turns, University of Washington

Tagged Divisions

Educational Research and Methods

provides a way toillustrate the range of knowledge gains that could result from a reflection activity. These threefactors are used as a basis to ideate on different kinds of learning possible, but they are not thefinal factor structure we aimed to have for the instrument. Below, we explain each factor, situatethe factor briefly in relevant literature, and provide examples of student utterances that mightalign with the factor.Professional knowledge: Reflection activities clearly have the potential to help students advancetheir knowledge of the topics they are studying in order to become engineers. Our way offraming “professional knowledge” as a type of knowledge arising from engagement in reflectionactivities is in alignment with Stevens et al.’s

Conference Session

Approaches to Curriculum and Policy

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Afroditi Vennie Filippas, Virginia Commonwealth University; Rebecca Segal, Virginia Commonwealth University ; Alen Docef, Virginia Commonwealth University

Tagged Divisions

Educational Research and Methods

Paper ID #30511Sustainable Collaboration Paradigms Between Math and EngineeringDr. Afroditi Vennie Filippas, Virginia Commonwealth University Dr. Filippas received her B.S. in Electrical Engineering from the University of Patras, Greece. After earning her M. S. and Ph. D. from the University of Texas at Austin, she completed post-doctoral research with the Institute of Accelerating Systems and Applications in Athens, Greece. Post-academically, she worked for Ansoft Corporation as a research scientist spearheading the development of the next generation code for Ansoft DesignerTM. Dr. Filippas joined Virginia Commonwealth

Conference Session

Assessment and Evaluation in Engineering Education I

Collection

2007 Annual Conference & Exposition

Authors

rebecca devasher, Rose-Hulman Institute of Technology; Patrick Ferro, Rose-Hulman Institute of Technology; Sudipa Mitra-Kirtley; David Mutchler, Rose-Hulman Institute of Technology; shannon sexton, Rose-Hulman Institute of Technology; Anneliese Watt, Rose-Hulman Institute of Technology; Julia Williams, Rose-Hulman Institute of Technology

Tagged Divisions

Educational Research and Methods

this option.AcknowledgementsThis project is funded in part by Microsoft Research, as well as with support fromHewlett-Packard Philanthropy, DyKnow, Inc., and our institution.Bibliography[1] DyKnow Vision, Inc. http://www.dyknowvision.com/[2]T. Angelo and P. Cross. Classroom Assessment Techniques: A Handbook for College Teachers. 2nd ed. SanFrancisco, CA: Jossey-Bass, 1993.[3] S. Kirtley interviewed in “New Interactive Software Is an A+ Tool,” Converge Online. [Online]. Available:http://www.convergemag.com/story.php?catid=232&storyid=96769[4] S. Kirtley, D. Mutchler, J. Williams, et al, “The world is our classroom.” Presentation at the HP HigherEducation Mobile Technology Solutions Conference, November 4-5, 2004.[5] S. Kirtley, Z. Chambers

Conference Session

Student Recruitment and Retention

Collection

2008 Annual Conference & Exposition

Authors

Mary Anderson-Rowland, Arizona State University

Tagged Divisions

Educational Research and Methods

.Malcom, S., Van Horne, V., Gaddy, C., and George, Y., Losing Ground: Science and Engineering Education of Black and Hispanic Americans, Washington D.C.: American Association for the Advancement of Science.11.Schulz, N.N. and Schulz, K.H., “Getting U.S. Undergraduates into Graduate School: Providing Information and Opportunities,” Proceedings of the 2000 American Society for Engineering Education Annual Conference & Exposition, June 2000, 8 pages.12.Yoshiasato, R.A., “Is Grad School for Me?” Proceedings of the 1998 American Society for Engineering Education Annual Conference & Exposition, June 1998, 15 pages.13.Huston, J.C. and Burnet, G., “What One Thousand Seniors Think of Graduate Study,” Journal of Engineering

Conference Session

Using Classroom Technologies

Collection

2009 Annual Conference & Exposition

Authors

Jeongkyu Lee, University of Bridgeport; Jalpa Bani, University of Bridgeport; Ying-ju Chen, University of Bridgeport

Tagged Divisions

Educational Research and Methods

% DB- DB- M D O D O M Spr DL- DB-S B-DL- S-Sum M- Sum S-Fal l DB-D 0% ing Spr p ing ring Sum me me L- F all

Conference Session

ERM Technical Session 7: Learning and Research in Makerspaces

Collection

2019 ASEE Annual Conference & Exposition

Authors

Colin Dixon, Concord Consortium; Lee Michael Martin, University of California, Davis

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

Influence in Robotics Engineering Activity,” J. Learn. Sci., vol. 23, no. 4, 2014.[10] B. Latour and S. Woolgar, Laboratory life: The construction of scientific facts. Princeton, NJ: Princeton University Press, 1986.[11] J. L. Lemke, Talking Science: Language, Learning, and Values. Norwood, NJ: 1990, 1990.[12] J. Bransford, “Preparing People for Rapidly Changing Environments,” J. Eng. Educ., vol. January 20, pp. 1–3, 2007.[13] S. A. Kirch, “Identifying and resolving uncertainty as a mediated action in science: A comparative analysis of the cultural tools used by scientists and elementary science students at work,” Sci. Educ., vol. 94, pp. 308–335, 2010.[14] J. Roschelle, “Learning by collaboration: Convergent conceptual

Conference Session

ERM Technical Session 10: Understanding Student Experiences

Collection

2019 ASEE Annual Conference & Exposition

Authors

Chris C. Martin, Georgia Institute of Technology; Joseph M. LeDoux, Georgia Institute of Technology; Wendy C. Newstetter, Georgia Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

. Simpson, and D. T. Kenrick, Eds. New York: Psychology Press, 2006, pp. 143–162.[3] A. M. Grant and B. Schwartz, “Too much of a good thing: The challenge and opportunity of the inverted U,” Perspect. Psychol. Sci., vol. 6, no. 1, pp. 61–76, Jan. 2011.[4] G. M. Walton and G. L. Cohen, “A brief social-belonging intervention improves academic and health outcomes of minority students.,” Science, vol. 331, no. 6023, pp. 1447–51, Mar. 2011.[5] G. M. Walton and G. L. Cohen, “A question of belonging: Race, social fit, and achievement.,” J. Pers. Soc. Psychol., vol. 92, no. 1, pp. 82–96, 2007.[6] G. M. Walton and S. T. Brady, “The many questions of belonging,” in Handbook of Competence and Motivation (2nd Edition

Conference Session

Approaches to Encouraging Student Engagement

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Brantly Edward McCord, Purdue University, West Lafayette; Ronald Erdei, University of South Carolina; David M. Whittinghill, Purdue University, West Lafayette; Marisa Exter, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

2019’s sixteen-week CGT Game Dev I course. All Fall 2019 CGT Game Dev I students retained in the course,who were sophomores or beyond, were considered participants, though due to unforeseentechnical difficulties in survey distribution and some student non-responsiveness, not everyretained student’s results were analyzed (n=56); all students belonged in the same group, withouta control comparison due to existing limitations of sample size and length of study.Figure 1. Gantt chart depicting the modes of work throughout the semester and when relevant data was collected.On the first day of lab, students were told the attendance policy: every student was allotted onefree unexcused absence without question, and any additional unexcused absences

Conference Session

Motivation, Identity, and Belongingness

Collection

2018 ASEE Annual Conference & Exposition

Authors

Meagan R. Kendall, University of Texas, El Paso; Nathan Hyungsok Choe, University of Texas, Austin; Maya Denton, University of Texas, Austin; Maura J. Borrego, University of Texas, Austin

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

, A. Johri, and R. Anderson, “On the development of a professional identity: Engineering persisters vs engineering switchers,” in Frontiers in Education Conference, 2009. FIE’09. 39th IEEE, 2009, pp. 1–6.11. H. Matusovich, B. E. Barry, K. Meyers, and R. Louis, “A Multi-Institution Comparison of Students’ Development of an Identity as an Engineer,” in Proceedings of the ASEE Annual Conference and Exposition, 2011.12. S. Sheppard et al., “Exploring the Engineering Student Experience: Findings from the Academic Pathways of People Learning Engineering Survey (APPLES). TR-10-01.,” Center for the Advancement of Engineering Education (NJ1), 2010.13. L. N. Fleming, K. C. Smith, D. G. Williams, and L. B. Bliss, “Engineering identity

Conference Session

Practice I: Academic Success

Collection

2018 ASEE Annual Conference & Exposition

Authors

Colby Goettel, Brigham Young University; Barry M. Lunt, Brigham Young University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

not been widely used in previous research in this area. Its validity is questioned, butit shows internal consistency. For these reasons, and because the LSI has not really been used inthis area, we have decided to adopt the LSI as the learning style assessment tool.2.5 Criticism of cognition and learning stylesWang and others looked into the correlation between Biggs’ constructive alignment and how itaffected students’ learning approaches. This research went off the basis that “university students’learning approaches... are highly correlated with students’ achievement of learningoutcomes” (Wang, 2013). However, it then noted that “[s]uch a statement... was underpinnedneither by qualitative nor quantitative empirical data.” Their research

Conference Session

Research Methods I: Developing Research Tools and Methods

Collection

2016 ASEE Annual Conference & Exposition

Authors

Rosa Cabedo, Universidad Politecnica de Madrid; Tovar Caro Edmundo, Universidad Politecnica de Madrid; Manuel Castro, Universidad Nacional de Educacion a Distancia

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

profiles16,15, language recognition with the study ofspecific patterns from bilingual speakers17, classification of species, and many otherdisciplines including medicine, biology, image classification, speech recognition, computerscience, insurance, among others18,19.K-Means algorithmK-Means is a partition-based clustering algorithm that takes as input parameters a set S ofentities and an integer K (number of clusters), and outputs a partition of S into subsets S1,...,Skaccording to the similarity of their attributes20. Although there are several different variationsand optimizations of K-Means algorithm21, this paper is focused on its four methods (Lloyd,Forgy, MacQueen and Hartigan-Wong).The estimation of the number of clusters in a data collection

Conference Session

Methodological & Theoretical Contributions to Engineering Education 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

So Yoon Yoon, Texas A&M University; P.K. Imbrie, Texas A&M University; Joe J.J. Lin, Purdue University, West Lafayette; Kenneth Reid, Ohio Northern University

Tagged Divisions

Educational Research and Methods

influence of non-cognitive factors on engineering school persistence. Journal of Engineering Education, 94, 335–338. doi: 10.1002/j.2168- 9830.2005.tb00858.x3. Grissmer, D. W. (2000). The continuing use and misuse of SAT scores. Psychology, Public Policy, and Law, 6, 223-232.4. Rosen, J. A., Glennie, E. J., Dalton, B. W., Lennon, J. M., & Bozick, R. N. (2010). Noncognitive skills in the classroom: New perspectives on educational research. Research Triangle Park, NC: RTI International. Retrieved from http://www.rti.org/rtipress. doi:10.3768/rtipress.2010.bk.0004.10095. Robbins, S. B., Lauver, K., Le, H., Davis, D., Langley, R., & Carlstrom, A. (2004). Do psychological and study skill factors

Conference Session

Measurement and Instrumentation

Collection

2015 ASEE Annual Conference & Exposition

Authors

Adam Kirn, University of Nevada, Reno; Lisa Benson, Clemson University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

Conference Session

Examining Social Ties and Networks

Collection

2015 ASEE Annual Conference & Exposition

Authors

Peter A Simon, Carnegie Mellon University; Susan Finger, Carnegie Mellon University; David Krackhardt, Carnegie Mellon University; Daniel P. Siewiorek, Carnegie Mellon University; Asim Smailagic, Carnegie Mellon University

Tagged Divisions

Educational Research and Methods

range from -2 to 2.The accuracy of Kay’s perceptions is found by comparing the entries in Kay’s perception matrixwith the Level II Truth matrix, which contains the actual friendship links between the membersof the network.6.3 Level IVThe Level IV data is the 4-dimensional matrix Pi,,j,k,l containing l ‘s perceptions of k’sperceptions of how i feels about j. If we relabel our generic team of four people using specificnumbers rather than generic letters, we have Ira (1), Jay (2), Kay (3) and Ella (4), then the cellP1234 contains Ella’s perception of Kay’s perception of how Ira feels about Jay. To create LevelIV friendship network, Ella is asked for her perception of the following: Kay’s perception of Ira’s feelings of friendship towards Jay

Conference Session

Measurement and Instrumentation

Collection

2015 ASEE Annual Conference & Exposition

Authors

Claudia Elena Vergara, Michigan State University; Michael Cavanaugh, Michigan State University; Subashini Nagendran Sivakumar, Michigan State University; Daina Briedis, Michigan State University; Thomas David Dionise, Michigan State University; Abdol-Hossein Esfahanian, Michigan State University; Jon Sticklen, Michigan Technological University; Mark Urban-Lurain, Michigan State University

Tagged Divisions

Educational Research and Methods

particularcomputational processes were inherent, which may have introduced leading questions and biasedanswers. Moderator acceptance bias may have also been present, whereby interviewees provideanswers to please the moderator. Respondents might interpret what they believe the moderatorwants to hear and answer accordingly. All instances of bias were noted during coding process.Acknowledgment This material is based upon work supported by the National Science Foundation (NSF) underaward 0939065. Any opinions, findings and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NSF.References[1] Vergara, C. E., Urban-Lurain, M., Dresen, C., Coxen, T., MacFarlane, T., Frazier, K., et al

Conference Session

Self-efficacy and Emotion: ERM Roundtable

Collection

2015 ASEE Annual Conference & Exposition

Authors

Laura Hirshfield, University of Michigan; Debbie Chachra, Olin College of Engineering; Cynthia J. Finelli, University of Michigan; Jeremy M. Goodman, Franklin W. Olin College of Engineering

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Diversity

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Educational Research and Methods

, Hocevar D, Hagedorn LS. A social cognitive construct validation: Determining women’s and men's success in engineering programs. J Higher Educ. 2007;78(3):337-364.4. Vogt C. An account of women’s progress in engineering: A social cognitive perspective. J Women Minor Sci Eng. 2003;9(3&4):217-238.5. Zeldin AL, Pajares F. Against the Odds: Self-Efficacy Beliefs of Women in Mathematical, Scientific, and Technological Careers. Am Educ Res J. 2000;37(1):215-246.6. Lent R, Brown S. Cognitive assessment of the sources of mathematics self-efficacy: A thought-listing analysis. J Career Assess. 1996;4(1):33-46.7. Seymour E, Hewitt NM. Talking About Leaving: Why Undergraduate Leave the Sciences. 12th ed. Boulder, CO

Conference Session

Concept Inventories and Assessment of Knowledge

Collection

2015 ASEE Annual Conference & Exposition

Authors

Brian Douglas Gane, University of Illinois at Chicago; Dana Denick, National Science Foundation; Natalie Jorion; Louis V DiBello; James W Pellegrino, University of Illinois, Chicago; Ruth A. Streveler, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

misconceptions.23AcknowledgementsWe thank the National Science Foundation for funding this work through grant NSF 0918531,0918436, 0918552, and 0920242. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the authors and do not necessarily reflect the views of the Page 26.404.11NSF.                                                                                                                1 Hestenes, D., Wells, M., & Swackhamer, G. (1992). Force concept inventory. The Physics Teacher, 30, 141–166.2 Steif, P. S. & Dantzler, J. A. (2005). A statics concept inventory: Development and psychometric

Conference Session

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

Collection

2019 ASEE Annual Conference & Exposition

Authors

Amy Wilson-Lopez, Utah State University; Angela Minichiello P.E., Utah State University; Theresa Green, Utah State University

Tagged Topics

Diversity

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Educational Research and Methods

.Cho, Y. I. (2008). Intercoder reliability. In P. J. Lavrakas (Ed), SAGE encyclopedia of survey research methods (pp. 345-346). Thousand Oaks, CA: SAGE.Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20, 37-46.Cohen, J. (1968). Weighted kappa: Nominal scale agreement with provision for scaled disagreement of partial credit. Psychological Bulletin, 70, 213-220.Devitt, A. (2004). Writing genres. Carbondale, IL: Southern Illinois University Press.deVries, H., Elliott, M N., Kanouse, D. E., & Teleki, S. S. (2008). Using pooled kappa to summarize interrater agreement across many items. Field Methods, 20, 272-282.Freeman, M., deMarrias, K., Preissle, J., Roulston

Conference Session

Cognitive and Motivational Issues in Student Performance I

Collection

2007 Annual Conference & Exposition

Authors

Joachim Walther, University of Queensland; David Radcliffe, University of Queensland

Tagged Divisions

Educational Research and Methods

demands of professional engineering practice.Major reviews of education in the 1990’s in the USA2 and in Australia 3, resulted in significantchanges in both countries. The respective reports resulted in ABET’s Program Outcomes(EC2000)4 and the Australian Graduate Attributes5 (AMEA), which both advocated a shift of theinstructional paradigm from the previously input-, content- and process-oriented system to anoutcomes-based approach.The concept of outcomes-based education revolves around a list of desired educationaloutcomes. In the application of this concept to instructional design, the outcomes are brokendown into learning objectives6, 7, subsequently learning activities are selected and delivered inorder to achieve the learning outcomes. The

Conference Session

ERM Poster Session

Collection

2008 Annual Conference & Exposition

Authors

Carl Lund, State University of New York at Buffalo

Tagged Divisions

Educational Research and Methods

provided an overview of how the TExT is used. Subsequent papers in this series willprovide more detailed consideration of individual components of the TExT, and their use. OnceTExT development is completed, it will be used to test the hypothesis that if the textbook of the20th century is replaced by TExTs in the 21st century, then a greater proportion of engineeringcourses will be taught using methods that are more effective than the traditional lecture.1. Prince, M., Does Active Learning Work? A Review of the Research. J. Engr. Education, 2004. 93(3): p. 223-231.2. Prince, M., The Many Faces of Inductive Teaching and Learning. J. Coll. Sci. Teaching, R. M. Felder. 36(5): p. 14.3. Wirt, J., S. Choy, D. Gerald

Conference Session

Knowing Our Students II

Collection

2006 Annual Conference & Exposition

Authors

Joachim Walther, University of Queensland; David Radcliffe, University of Queensland

Tagged Divisions

Educational Research and Methods

s Educational background Family background Learning s na l nce n ti o Innate Traits

Conference Session

Cognitive and Motivational Issues in Student Performance II

Collection

2007 Annual Conference & Exposition

Authors

Jeffrey Froyd, Texas A&M University; Larissa Pchenitchnaia, Texas A&M University; Debra Fowler, Texas A&M University; Nancy Simpson, Texas A&M University

Tagged Divisions

Educational Research and Methods

intend students to learn as a result of instruction41. Theoriginal taxonomy was developed by Benjamin S. Bloom42 in the early 50s and it hassince been translated into 22 languages and is one of the most widely applied and mostoften cited references in education43. The original taxonomy represented a multi-tieredmodel of classifying thinking according to six cognitive levels of complexity:Knowledge, Comprehension, Application, Analysis, Synthesis, and Evaluation. Thetaxonomy was later revised by Lorin W. Anderson and David R. Krathwohl40 and the sixlevels of learning in the revised Bloom’s taxonomy (together with representative verbsused to write learning outcomes at each level of learning) are:‚ Remember (recognize, recall…)‚ Understand

Conference Session

Trends in Engineering Education

Collection

2013 ASEE Annual Conference & Exposition

Authors

Leticia Anaya, University of North Texas

Tagged Divisions

Educational Research and Methods

Conference Session

New Learning Paradigms II

Collection

2010 Annual Conference & Exposition

Authors

Chandra Austin, Utah State University

Tagged Divisions

Educational Research and Methods

States is becoming more diverse 6, globalization hasmade it disadvantageous to continue to foster inequality of educational opportunity along ethniclines. A hazardous cycle has been created, reinforcing the idea that African American studentsare better suited for manual than for academic pursuits. The National Academy of Engineering(NAE), an honorific organization of engineers that advises the government on issues concerningengineering, states that “if the U. S. is to maintain economic leadership and be able to sustain itsshare of high-technology jobs, it must prepare for a new wave of change”7. This new wave ofchange refers to the education of more minority students in engineering as the minoritypopulation increases in order to ensure global