Conference Session

Curriculum Development & Assessment in Nuclear and Radiological Engineering

Collection

2006 Annual Conference & Exposition

Authors

Robert Long, Nuclear Stewardship, LLC; Altaf Memon, Excelsior College; Li-Fang Shih, Excelsior College; Byron Thinger, Diablo Canyon Power Plant

Tagged Divisions

Nuclear and Radiological

lifelong learningITA Learning StatementsStudents enrolled in NUC 495 are required to develop learning statements that objectivelyaddress the ITA learning objectives. A learning statement must include an explanation andexample(s) of how a given learning objective has been met. Evidence must be provided insupport of every learning statement. The relationship between the given learning objective andthe corresponding evidence must be explained. The essential elements of good learningstatements are as follows: • Written clearly and concisely in Standard Written English • Written in the form of a narrative • Supporting evidence is referenced and provided • Describe how the evidence supports the learning statement

Conference Session

Knowing Our Students I

Collection

2006 Annual Conference & Exposition

Authors

Mica Hutchison, Purdue University; Deborah Follman, Purdue University; George Bodner, Purdue University

Tagged Divisions

Educational Research and Methods

intervention techniques for the promotion of positive self-efficacy beliefs among students, aimed at ultimately increasing their achievement, success, andretention.Bibliography1. Bandura, A., Self-Efficacy: The Exercise of Control, W. H. Freeman and Company, New York, 1997.2. Pajares, F., "Self-Efficacy Beliefs in Academic Settings," Review of Educational Research, vol. 66, no. 4, 1996,pp. 543-578.3. Lent, R. W., S. D. Brown, J. Schmidt, B. Brenner, H. Lyons and D. Treistman, "Relation of ContextualSupports and Barriers to Choice Behavior in Engineering Majors: Test of Alternative Social Cognitive Models,"Journal of Counseling Psychology, vol. 50, no. 4, 2003, pp. 458-465.4. Schaefers, K. G., D. L. Epperson and M. M. Nauta, "Women's Career Development

Conference Session

Opportunities for Entrepreneurship Programs

Collection

2006 Annual Conference & Exposition

Authors

Heidi Neck, Babson College; John Bourne, Olin College; Stephen Schiffman, Olin College

Tagged Divisions

Entrepreneurship & Engineering Innovation

engineers of tomorrow.References1 Cohen, A., “Transformational Change at Babson College: Notes From the Firing Line,” Academy of ManagementLearning & Education, Vol. 2, No. 2, pp. 155-180, 2003.2 Barefoot, B., “Babson College Strategic Plan 2003 Summary,” Babson Park, MAhttp://www3.babson.edu/Offices/President/StrategicPlan/default.cfm, 20033 Bourne, J., R., Schiffman, S., Berbeco, H., Rao, A., Marram, E., Overlan, L., Wientraub, J., Frey, D., and Crisman,J., “Building an Integrated Technology Entrepreneurship Curriculum at Olin College: Design of the First TwoYears. Paper Presentation ASEE Annual Convention, Nashville, TN, June, 2003.4 Olin College of Engineering, see http://www.olin.edu/about_olin/overview.asp5 ABET, Criteria for

Conference Session

Emerging Trends in Engineering Education Poster Session

Collection

2006 Annual Conference & Exposition

Authors

Jean Nocito-Gobel, University of New Haven; Samuel Daniels, University of New Haven; Michael Collura, University of New Haven

about half of the students.Considerable work remains to be done to further assess and refine the course. Information will besought from instructors who teach follow-up courses to determine how students who have takenEAS211 compare to students they have seen previously. Student feedback will be used to makeadjustments in the operational aspects of the course. Page 11.74.13REFERENCES1. Collura, M., Daniels, S., Nocito-Gobel, J., Aliane, B, Development of a MultiDisciplinary Engineering Foundation Spiral, ASEE 2004 Annual Conference, Curricular Change Issues, session 26302. Collura, M., Daniels, S., Nocito-Gobel, J. Project-Based

Conference Session

General Topics in Graduate Education

Collection

2013 ASEE Annual Conference & Exposition

Authors

Katy Luchini-Colbry, Michigan State University; Korine Steinke Wawrzynski, Michigan State University; Megan Shannahan, Michigan State University

Tagged Divisions

Graduate Studies

outset of the summer, students’ were asked on the pre-experience survey to indicate thereason(s) they had chosen to apply to this summer research program. Students’ responses, indescending frequency, were as follows:  91%: it will enhance my resume  88%: to gain practical experience for a future career  79%: it was a paid position  75%: to develop a mentoring relationship with a faculty member  72%: it sounded interesting  71%: to help prepare me for graduate school  37%: a faculty/staff member approached me about the opportunityPractical, career-oriented goals topped students’ lists of reasons for participating in the summer

Conference Session

Socio-cultural Dimensions of Community Engagement

Collection

2013 ASEE Annual Conference & Exposition

Authors

Brent K Jesiek, Purdue University, West Lafayette; Anne Elizabeth Dare, Purdue University; Julia D Thompson, Purdue University, West Lafayette; Tiago R Forin, Purdue University, West Lafayette

Tagged Divisions

Community Engagement Division

of listening to community members, and for instructionalpurposes offers numerous case studies and poses many reflection and discussion questions.Mihelcic et al.’s Field Guide to Environmental Engineering for Development Workers: Water,Sanitation, and Indoor Air similarly emphasizes community participation.9 Yet it is somewhatmore specifically scoped as an environmental engineering field guide, with extensive technicaldiscussion of appropriate technologies for water supply and treatment, latrine building,sanitation, etc. The design firm IDEO, on the other hand, has developed a Human CenteredDesign Toolkit, which is organized around processes, methods, and tools that can be used toidentify problems and design solutions for communities in need

Conference Session

Training and Mentoring of Graduate Teaching Assistants

Collection

2013 ASEE Annual Conference & Exposition

Authors

Rachel Louis Kajfez, Virginia Tech; Holly M Matusovich, Virginia Tech

Tagged Divisions

Graduate Studies

of institutions each having common FYEPs. Having acommon FYEP means that, all engineering students take the same introductory engineeringcourse(s). Common FYEPs were chosen because they are not discipline specific which providescontinuity across institutions and because they tend to focus on common topics such asteamwork, communication, graphing, problem solving, etc.For this analysis, we draw on five semi-structured interviews, each from a different institution, toprovide a broad picture of GTAs’ views on teaching competence. While this is a small sample,we believe that the interviews chosen are a strong representation of the experiences of GTAs andtherefore our qualitative analysis yields rich, meaningful and impactful results. Before

Conference Session

Introducing New Methodologies and the Incoming Students to Engineering Programs

Collection

2013 ASEE Annual Conference & Exposition

Authors

Salahuddin Qazi, State University of New York, Institute of Tech.; Adeel Khalid, Southern Polytechnic State University (ENG); Qaiser H Malik, National University of Sciences and Technology (NUST) Pakistan University

Tagged Divisions

International

Youth, United Nations Development Programs, http://undp.org.pk/undp-and-the-youth.html18. S. A. Raza & S. A. Naqvi, “Quality of Pakistani University Graduates As Perceived By Employers: Implications For Faculty Development, Journal of Quality and Technology Management, Volume VII, Issue I, June, 2011.19. Ian Waitz, “What’s next for engineering education? http://web.mit.edu/newsoffice/2011/eng-ed-waitz- macvicar.html , October 2011.20. Grand Challenges for Engineering, the National Academy of Engineering, Feb, 2008. www.grandchallengescholars.org21. Engineer of 2020, National Academy of Engineering, http://www.nae.edu/programs/education/activities10374/engineerof2020.aspx22. Luey Morell

Conference Session

Best of DEED

Collection

2013 ASEE Annual Conference & Exposition

Authors

Jennifer Wang, University of California, Berkeley

Tagged Divisions

Design in Engineering Education

. Papert, S. (1991). Situating constructionism. In I. Harel & S. Papert (Eds.), Constructionism. Westport, CT: Ablex Publishing Corporation.14. Resnick, M. (2006). Computer as paintbrush: technology, play, and the creative society. In Singer, D., Golikoff, R., and Hirsh-Pasek, K. (eds.), Play = Learning: How play motivates and enhances children's cognitive and social-emotional growth. New York, NY: Oxford University Press.15. Edelson, D. C. & Reiser, B. J. (2006). Making authentic practices accessible to learners: Design challenges and strategies. In R. K. Sawyer (Ed.), Cambridge handbook of the learning sciences (pp. 335-354). New York, NY: Cambridge University Press.16. Wellington, J. (1990). Formal and informal learning

Conference Session

Laboratory Experiences in Mechanical, Materials and Thermal Systems

Collection

2013 ASEE Annual Conference & Exposition

Authors

Allison L. Sieving, Weldon School of Biomedical Engineering, Purdue University; Marcia Pool, Purdue University, West Lafayette; Trisha Eustaquio, Purdue University; Rajtarun Madangopal, Purdue University; Alyssa Panitch PhD; Kate Stuart, Purdue University; Ann E Rundell, Purdue University, West Lafayette; Scott Alan Jewett

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

to follow one pathway to a solution using previousknowledge. Prior to conducting their self-planned experiments, the experiment design isreviewed with instructors for immediate feedback and correction. The types of investigational Page 23.434.6questions explored at the sophomore-level promote the identification of dependent variable(s), anindependent variable, positive and negative controls, and sample size. Additionally, theinvestigational question laboratories are intentionally constructed such that the appropriate dataanalysis would be either a student t-test or a one-way Analysis of Variance (ANOVA).Table 1 illustrates a three stage

Conference Session

Stakeholder Perspectives on Community Engagement in Engineering Education

Collection

2012 ASEE Annual Conference & Exposition

Authors

Nathan E. Canney, University of Colorado, Boulder; Angela R. Bielefeldt, University of Colorado, Boulder

Tagged Divisions

Community Engagement Division

Table 1. The Professional SocialResponsibility Development Model is based on three existing models: Schwartz’s altruisticbehavior development model12, 13, Ramsey’s model for incorporating social parameters into thescientific process14, and Delve et al.’s service learning model15. The reliability and validity ofthe EPRA tool are in the process of being determined and preliminary results show stronginternal consistency and construct validity11.Table 1. EPRA Tool Construct DescriptionsConstruct Description1. Awareness An awareness that others are in need2. Ability A recognition of one’s ability to do something to help those who are in need3. Connectedness A feeling of moral obligation to become involved in social

Conference Session

Information Literacy in Context: Enabling Real World Problem Solving

Collection

2012 ASEE Annual Conference & Exposition

Authors

Michael Fosmire, Purdue University, West Lafayette; David F. Radcliffe, Purdue University, West Lafayette

Tagged Divisions

Engineering Libraries

for the engineeringprofession, Design Studies, 6, 107-110.3 For example, Brown, T. 2009 Change by Design: How Design Thinking Transforms Organizations and InspiresInnovation. New York: Harper Collins.4 National Academy of Engineering. 2004. The Engineer of 2020: Visions of Engineering in the New Century.Washington, DC: National Academies Press.5 Mosberg, S., R. Adams, R. Kim, C. Atman, J. Turns, and M. Cardella. 2005. Conceptions of the EngineeringDesign Process: An Expert Study of Advanced Practicing Professionals. In Proceedings of the 2005 AmericanSociety for Engineering Education Annual Conference & Exposition.6 Ennis, C. and S. Gyeszly. 1991. Protocol Analysis of the Engineering Systems Design Process. Research in

Conference Session

Laboratory Development in ECE II

Collection

2012 ASEE Annual Conference & Exposition

Authors

Greg N Droge, Georgia Institute of Technology; Bonnie H. Ferri, Georgia Institute of Technology; JillL L. Auerbach, Georgia Institute of Technology

Tagged Divisions

Electrical and Computer

Page 25.876.930 rad/sec, so the combined open-loop transfer function has the form: V(s) 30A = U(s) (s + b)(s + 30) Figure 12: Open-loop Bode plot of the LEGO NXT motorThe take-home section of the experiment allows students to see the behavior of the PI and PIDcontrols that they created in the previous part of the experiment. They are able to apply conceptslearned in class to see the frequency response of different systems and use the frequencyresponse to create a Bode plot from which they are able to derive a transfer function for thesystem. The main difficulty for the students in this section is

Conference Session

Understanding Our Students I

Collection

2012 ASEE Annual Conference & Exposition

Authors

Wade H. Goodridge, Utah State University; Scott David Greenhalgh, University of Northern Iowa; Oenardi Lawanto, Utah State University; Gary A. Stewardson, Utah State University

Tagged Divisions

Educational Research and Methods

Computing Surveys, 38(3), 1-24. 5. Totten, R. A., & Branoff, T. J. (2004). Online learning in engineering graphics courses: What are some of the big issues? Paper presented at the 59th Annual Mid-Year Conference of the Engineering Design Graphics Division of the American Society for Engineering Education,, Williamsburg, VA. 6. Sorby, S. A. (1999). Developing 3-D spatial visualization skills. Engineering Design Graphics Journal, 63(2), 21-32. 7. Smith, M. (2009). The correlation between a pre-engineering students's spatial ability and achievement in an electronics fundamentals course. PhD, Utah State Unversity, Logan, UT. 8. Ferguson, E. S. (1992). Engineering and the mind's eye. Cambridge, MA: MIT Press. 9

Conference Session

Clearing up Student Misconceptions in Materials

Collection

2010 Annual Conference & Exposition

Authors

Stephen Krause, Arizona State University; Jacquelyn Kelly, Arizona State University; Dale Baker, Arizona State University; Sharon Kurpius-Robinson, Arizona State University

Tagged Divisions

Materials

. Page 15.439.11 10Bibliography1. S. Krause, J. Decker, J. Niska, & T. Alford, (2002). A Materials Concept Inventory for introductory materials engineering courses, National Educators Workshop Update 2002, 17, 1-8.2. C. J. Boulter, & B. C. Buckley, (2000). Constructing a typology of models in science education, in Gilbert, J. K., & Boulter, C. J. (Eds.), Developing models in science education. Dordrecht, Netherlands, Kluwer Academic Publishers.3. Ben-Zvi, R., Eylon, B., & Silverstein, J. (1986). Is an atom of copper malleable? Journal of Chemical Education, 63, 64–66.4. D. Hestenes, M. Wells, & G. Swackhamer (1992). Force concept inventory

Conference Session

ERM Potpourri

Collection

2010 Annual Conference & Exposition

Authors

Pao-Chi Chen, Lunghwa University Science and Technology; Kwannin Kuo, Lunghwa University of Science and Technology; Meei-Ruey Hsu, Ming-Chuan University

Tagged Divisions

Educational Research and Methods

data. In this manner, five subjects were obtained by open coding on one hand, while twoconvergent subjects were observed by axial coding on the other hand. The outcomes of opencoding and axial coding are tabulated in Table 1. Table 1 Open coding and axial coding list Open coding Axial coding 1. Promoting the basic chemistry competence of 1.Basic chemistry students competence in occupation 2. Occupation domain domain 3. Basic Chemistry Competence in work place and performance of student 4. The viewpoint about attaining certificate(s) or 2.Curriculum of Chemistry certificate in vocational education system 5

Conference Session

Trends in Mechanical Engineering II

Collection

2010 Annual Conference & Exposition

Authors

Kuntinee Maneeratana, Chulalongkorn University; Angkee Sripakagorn, Chulalongkorn University

Tagged Divisions

Mechanical Engineering

. Chulalongkorn University Curriculum Quality Assurance (CU-CQA) Manual. Quality Assurance Section, Office of Academic Affairs, 2005.[4] Chamillard, A. T., Using student performance predictions in a computer science curriculum, Proceedings of the 11th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education. Bologna, 26–28 June 2006.[5] Alphen, D. K. van and Katz, S. A study of predictive factors for success in electrical engineering, Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition. Albuquerque, 24- 27 June 2001.[6] Zhang, G. Thorndyke, B., Ohland, M. W. and Anderson T. J., How science course performance influences student retention - A statistical

Conference Session

Retention: Keeping the Women Students

Collection

2004 Annual Conference

Authors

Monica Gaughan; Donna Llewellyn; Marion Usselman

data from their institutionalrecords. Therefore, we will be able to ascertain if the results from the telephone survey arerepresentative of the whole cohort, and if not, we will be able to identify the extent of potentialbiases in this sample.References1 Becker, G. S. (1964). Human capital; a theoretical and empirical analysis, with special reference to education, distributed by Columbia University Press.2 Schultz, T. W. (1970). Investment in human capital; the role of education and of research. New York,, Free Press.3 Behrman, Jere R, and Taubman, Paul, (May 1976) “The Intergenerational Correlation between Children's Adult Earnings and Their Parents' Income: Result from the Michigan Panel Survey of Income Dynamics,” Review of

Conference Session

Gender Perceptions and Girls in K-12 Engineering and Computer Science

Collection

2014 ASEE Annual Conference & Exposition

Authors

Shreya Kumar, Michigan Technological University; Linda M. Ott, Michigan Technological University

Tagged Divisions

K-12 & Pre-College Engineering

essentialto the success of this program. These include the Center for Pre-college Outreach, CorporateRelations, and the Admissions Office.7. References1 Zweben, S., Bizot, B., 2013, 2012 Taulbee Survey Strong Increases in Undergraduate CS Enrollment and Degree Production; Record Degree Production at Doctoral Level, Computing Research News, pp. 11-60.2 Hartmann, T., Klimmt, C., 2006, Gender and computer games: Exploring females’ dislikes, in Journal of Computer ‐Mediated Communication 11, 910-931.3 Colley, A., 2003, Gender differences in adolescents' perceptions of the best and worst aspects of computing at school, in Computers in Human Behavior 19, 673-682.4 Kiesler, S., Sproull, L., Eccles, J. S., 2002, Pool

Conference Session

K-12 Computer Science and Computational Thinking Initiatives

Collection

2014 ASEE Annual Conference & Exposition

Authors

Alfredo J. Perez, Northern New Mexico College; Ivan Lopez Hurtado, Northern New Mexico College; Jorge Crichigno, Northern New Mexico College; Raul R. Peralta, Northern New Mexico College; David Torres, Northern New Mexico College

Tagged Divisions

K-12 & Pre-College Engineering

pattern is discovered, the next step is the generalization and abstraction of the pattern.The skill encompasses the ability to filter information to solve a problem and re-defining it ingeneral terms using variables and/or formulas so problems that are similar in nature can besolved in the same way. For the example shown above (the sequence of numbers) the patterngeneralization and abstraction step comprises taking the sequence and converting it into arecurrence relation. The formula that abstracts the sequence can be written as S(i) = S(i-1) + 3 *i where i is a positive integer and S(0) = 1.D. Algorithm DesignThe last skill in Computational Thinking is the development and/or the description of thesolution of a problem as a recipe/algorithm

Conference Session

Engineering Faculty: Interactions, Influences and Issues

Collection

2014 ASEE Annual Conference & Exposition

Authors

Marie H. Magnell, KTH Royal Institute of Technology; Lars Allan Geschwind, KTH Royal Institute of Technology; Lena B. Gumaelius, KTH, Department of Learning; Anette Jepsen Kolmos, Aalborg University

Tagged Divisions

Educational Research and Methods

: ideals and practice inresearch oriented universities, in press Higher Education Research and Development.2 Christensen, S. H., & Erno-Kjolhede, E. (2011). Academic drift in Danish professional engineering education. Page 24.594.12Myth or reality? Opportunity or threat?, European Journal of Engineering Education, 36, 3, 285-299.3 Harwood, J. (2010). Understanding Academic Drift: On the Institutional Dynamics of Higher Technical andProfessional Education, Minerva, 48, 413-427.4 Kyvik, S. (2009). The Dynamics of Change in Higher Education: Expansion and Contraction. HigherEducation Dynamics 27, Springer, Netherlands.5 Jorgensen, U

Conference Session

NSF Grantees’ Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Muhittin Yilmaz, Texas A&M University, Kingsville (TAMUK); Selahattin Ozcelik, Texas A&M University, Kingsville; Nuri Yilmazer, Texas A&M University, Kingsville; Reza Nekovei, Texas A&M University, Kingsville

Tagged Topics

NSF Grantees Poster Session

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

Works”, IEEE Spectrum, October 2011.[3] E. Ackerman, “CMU Develops Autonomous Car Software That’s Provably Safe”, IEEE Spectrum, July 2011.[4] Humanoid Robotics Group, http://www.ai.mit.edu/projects/humanoid-robotics-group/, Last Accessed onDecember 26, 2011.[5] C. Y. Chen, P. H. Huang, “Review of an Autonomous Humanoid Robot and Its Mechanical Control”, Journal ofVibration and Control, Online, September 2011.[6] E. Guizzo, “These Humanoid Robots Could Kick Your Asimo”, IEEE Spectrum, October 2010.[7] M. Kroh, K. El-Hayek, S. Rosenblatt, B. Chand, P. Escobar, J. Kaouk, S. Chalikonda, “First Human SurgeryWith a Novel Single-Port Robotic System: Cholesystectomy using the Da-Vinci Single-Site Platform”, SurgicalEndoscopy, 25, 11, June 2011, pp

Conference Session

Preparing Future Educators

Collection

2014 ASEE Annual Conference & Exposition

Authors

Mary Lynn Brannon, Pennsylvania State University, University Park

Tagged Divisions

Graduate Studies

engineering education. The study will continue to assess the use of text,discussion, and class activities that occur concurrently while the GTAs are being observed inteaching. The instructor will continue to collect data on The Graduate Teaching AssistantSeminar in future semesters to make comparisons; and provide well-grounded understandingof the experience and perspective of the GTA participants22.Bibliography 1. Bandura, A., (1977) Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84, pp. 191-215. 2. Prentice-Dunn, S., Pitts, G.S. (2001) “The Use of Videotape Feedback in the Training of Instructors”, in Prieto, L.R., Meyers, S.A. (Eds.) The Teaching Assistant Handbook: How to prepare TAs for

Conference Session

Curricular Issues in Computing and Information Technology Programs II

Collection

2014 ASEE Annual Conference & Exposition

Authors

Norman Pestaina, Florida International University; Tiana Solis, Florida International University; Peter J. Clarke, Florida International Univeristy

Tagged Divisions

Computing & Information Technology

(hoped) improvements, to a revised set of SOs. To that end, some desired attributes of the SeniorProject Rubric are evaluated:RQ1 (Applicability): Does the rubric’s methodology measure attainment of all of the SOs in ameaningful way? If not all, to which SOs is it not applicable?RQ2 (Extendibility): Is the rubric methodology(s) applicable to varied SO categories, and does itlend itself to fine tuning?RQ3 (Consistency): Is there reasonable expectation that repeated application of the rubric toidentical data should yield identical metrics? When there is not, can this shortcoming beameliorated?5.2 MethodThe sources of the data for this study are 22 capstone projects completed between Fall 2010 andSpring 2012, encompassing the efforts of about 82

Conference Session

International Division Technical Session 6

Collection

2014 ASEE Annual Conference & Exposition

Authors

Sheila Reyes Guerrero, Universidad de las Américas Puebla; Nelly Ramirez-Corona, Universidad de las Americas Puebla; Aurelio Lopez-Malo, Universidad de las Americas Puebla; Enrique Palou, Universidad de las Americas Puebla

Tagged Divisions

International

) related toknowledge of cognition, several of them particularly associated with procedural and conditionalknowledge, were used as a form of coaching 5, 8. PROBLEM 2Kinetics and Homogeneous Reactor Design (IQ407) Mass Transfer Unit Operations I (IQ412)Mixed flow reactor (CSTR) is used for carrying out the A binary mixture of methanol and water is to benext first order reversible reaction: separated using a conventional distillation column. The   feed stream contains 40 mol/s of methanol and 60 mol/s 𝐴 𝐵 of water, introduced as a saturated liquid

Conference Session

Methodological & Theoretical Contributions to Engineering Education 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Jennifer A Turns, University of Washington; Brook Sattler, University of Washington; Ken Yasuhara, Center for Engineering Learning & Teaching (CELT); Jim L. Borgford-Parnell, University of Washington; Cynthia J. Atman, University of Washington

Tagged Divisions

Educational Research and Methods

engineering education.A framework for thinking about elements of reflectionReflection on experience can be framed as an intentional and dialectical thinking process wherean individual revisits features of an experience with which he/she is aware and uses one or morelenses in order to assign meaning(s) to the experience that can guide future action (and thusfuture experience). We can use pathways of reflection to delineate combinations of theseelements. In this section, we unpack the elements of this framing (i.e., experience, lens, meaning, Page 24.776.2action, intentional, and dialectical) of reflection and then illustrate the ideas through a

Conference Session

Information Tools and Techniques for Engineering Education

Collection

2013 ASEE Annual Conference & Exposition

Authors

Giovanna Badia, McGill University; April Colosimo, McGill University

Tagged Divisions

Engineering Libraries

were contacted and 12 responses (39%) were received. Another threeparticipants provided unsolicited written comments on the series. The email contained thefollowing questions: 1) Do you have any comments about the pace or length of the webinar(s)?2) Did you have enough time to complete the exercise(s)? 3) Any suggestions for improvementor topics for future webinars?While the feedback received from webinar participants supplied their perspective on using webconferencing software, the authors also collected the perspective of instructors from otherinstitutions to form a complete picture. To gather the instructor viewpoint, an email survey wassent to relevant division listservs of the Association of College and Research Libraries (ACRL),the

Conference Session

ET Curriculum & Design Issues

Collection

2005 Annual Conference

Authors

Rafael Obregon; Kevin Hall

Annual Conference & Exposition Copyright © 2005, American Society for Engineering Education” Figure 8a – Insert the desired image. The image may need Figure 8b – Create desired layers and their content. As to be reduced in size. layers are generated, they have the option of being visible or hidden. In the Layer panel, the eye column indicates whether a layer is hidden or visible. For this exercise, all layers will be hidden after generation. Figure 8c – Create the hotspot area(s) that the user can

Conference Session

Understanding Engineering Design

Collection

2005 Annual Conference

Authors

Gul Okudan Kremer; Madara Ogot

- W on rs Sy ng ni s s am r KC ne em en pe

Conference Session

NEW Lab Experiments in Materials Science

Collection

2005 Annual Conference

Authors

Harvey Abramowitz

test specimen until failure.Note to Instructors: While such equipment when new can cost well over $1000, all the equipmentdescribed here was purchased at auction for $22.Statistics for Analyzing DataMeanThe mean, x , is simply the average of a sample from a population. It is defined as i =n xi x= i =1 Eq. 1 nWhen n goes to infinity, the symbol µ is commonly used. Thus the total population is consideredand s is also called the ‘population mean.’ Page