Asee peer logo
Well-matched quotation marks can be used to demarcate phrases, and the + and - operators can be used to require or exclude words respectively
Displaying results 24961 - 24990 of 25566 in total
Conference Session
Assessing Hard-to-Measure Constructs in Engineering Education: Assessment Design and Validation Studies
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Donna Jaison, Texas A&M University; Hillary E. Merzdorf, Purdue University, West Lafayette; Blake Williford, Sketch Recognition Lab; Lance Leon Allen White, Texas A&M University; Karan Watson P.E., Texas A&M University; Kerrie A. Douglas, Purdue University, West Lafayette; Tracy Anne Hammond, Texas A&M University
Tagged Divisions
Educational Research and Methods
the Massachusetts Institute of Technology, and four degrees from Columbia University: an M.S in Anthropology, an M.S. in Computer Science, a B.A. in Mathematics, and a B.S. in Applied Mathematics. Hammond mentored 17 UG theses (and many more non-thesis UG through 351 undergraduate research semesters taught), 29 MS theses, and 9 Ph.D. dissertations. Hammond is the 2020 recipient of the TEES Faculty Fellows Award and the 2011-2012 recipient of the Charles H. Barclay, Jr. ’45 Faculty Fellow Award. Hammond has been featured on the Discovery Channel and other news sources. Hammond is dedicated to diversity and equity, reflected in her publications, research, teaching, service, and mentoring. More at http://srl.tamu.edu
Conference Session
Women in Engineering Division Technical Session 6
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Kairys Grasty, University of Massachusetts, Boston; Shivani Sakri, Arizona State University; Amanda C. Arnold, Idaho State University; Jennifer M Bekki, Arizona State University; Kerrie G. Wilkins-Yel, University of Massachusetts, Boston; Madison Natarajan, University of Massachusetts, Boston; Bianca L. Bernstein, Arizona State University; Ashley K. Randall, Counseling and Counseling Psychology, Arizona State University
Tagged Topics
Diversity
Tagged Divisions
Women in Engineering
, findings, and conclusions, and recommendations expressed in thisreport are those of the authors and do not necessarily reflect the views of the NSF.References[1] R. Sowell, Doctoral Initiative on Minority Attrition and Completion., Washington, DC: Council of Graduate Schools, 2015.[2] M. Ong, C. Wright, L. L. Espinosa, and G. Orfield, “Inside the double bind: A Synthesis of empirical research on undergraduate and graduate women of color in science, technology, engineering, and mathematics,” Harv. Educ. Rev., vol. 81, no. 2, pp. 172–208, Jun. 2011, doi: 10.17763/haer.81.2.t022245n7x4752v2.[3] M. Cabay, B. L. Bernstein, M. Rivers, and N. Fabert, “Chilly climates, balancing acts, and shifting pathways: What happens to
Conference Session
Bringing a Different Perspective
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Agnes Germaine d'Entremont P.Eng., University of British Columbia, Vancouver; Andrea S. Webb, The University of British Columbia; Sean Maw P.Eng., University of Saskatchewan; Jennifer Kirkey, Douglas College
Tagged Divisions
Mechanics
some engineering disciplines at the larger schools also study rigid body dynamicsat the second-year level. Two instructors (Region 1) were funded by BCcampus, and workedclosely together. The third instructor (Region 2) was funded by the Association of ProfessionalEngineers and Geoscientists of Saskatchewan (APEGS), the provincial professional engineeringregulator. We also focused on different strategies and priorities for problem creation: a largebank of fundamental questions (Site 2) versus fewer, more complex questions (Sites 1A and 1B).This is reflected in our estimates for problem cost: excluding learning objective development andother start-up time, Site 2 estimated $16 CAD/problem in student and faculty time, while Sites1A and 1B
Conference Session
Bring Your Own Experiment: Experimentation and Laboratory-oriented Studies
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Yanjun Yan, Western Carolina University; Robert D. Adams, Western Carolina University; Paul M. Yanik, Western Carolina University; Hugh Jack, Western Carolina University; Andrew Ritenour, Western Carolina University; Hayrettin B. Karayaka, Western Carolina University
Tagged Divisions
Experimentation and Laboratory-Oriented Studies
Conference Session
Community-Engaged Engineering Education Challenges and Opportunities in Light of COVID-19 Paper Presentations 2
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Cijy Elizabeth Sunny, Baylor University; Kathleen Koenig, University of Cincinnati
Tagged Divisions
Community Engagement Division, Equity, Culture & Social Justice in Education, Liberal Education/Engineering & Society
an explanation can be found in the published dissertation. Asis traditionally followed in IRT, item fit statistics were obtained. Cut-off criteria for a reasonablefit were SRMR and RMSEA < 0.08, CFI and TLI > 0.90 or 0.95 [43]. Items with |Yen’s Q3| >0.20 (Q3 fit statistic represents the correlation between the residuals for a pair of items) has localdependence and significant item fit values (p < 0.05) revealed misfit items [44]. Finally, itemand test information functions graphically reflected the reliability (1 - [1 / peak information]) ofthe items and the test as a whole in estimating the construct over the entire scale range [45].FIGURE 3. Hypothesized 2-D measurement model for the APT-STEM instrument [12]ResultsThe results
Conference Session
Computing and Information Technology Division Technical Session 1
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Elizabeth Milonas, New York City College of Technology; Duo Li, Shenyang City University; Qiping Zhang, Long Island University
Tagged Divisions
Computing and Information Technology
thinking, data modeling, communication, reproducibility and ethics [11]. In a similar study [13], researchers monitored trends across Europe in order to assess thedemands for particular Data Science skills and expertise. They [13] used automated tools for theextraction of Data Science job posts as well as interviews with Data Science practitioners. Thegoal of the study [13] was to find the best practices for designing Data Science curriculum whichinclude; industry aligned, use of industry standard tools, use of real data, transferable skill set,and concise learning goals. The best practices for delivery of Data Science Curriculum includemultimodality, multi-platform, reusable, cutting-edge quality, reflective and quantified, andhands-on. In
Conference Session
Multidisciplinary Curriculum and Course Development
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Karl D. Schubert FIET, University of Arkansas; Manuel D. Rossetti P.E., University of Arkansas
Tagged Topics
Diversity
Tagged Divisions
Multidisciplinary Engineering
science (statistician,computer scientist, industrial engineering, operations researchers, etc.) are in-demand and requirehighly skilled professionals with knowledge of data science, which has resulted in a highlycompetitive labor market. While the median annual salary for data scientists is quite high, about$122,000, according to the BLS, this reflects the higher educational, experience, and skill levelrequirements needed for such positions, as well as geographical differences related to keyemployer locations.Employers have recognized that data science professionals will be a critical resource to theiroperational excellence, as well as for the future of their innovation ecosystems. This need fordata science professionals has naturally driven an
Conference Session
Remote Physical Laboratories: Experimentation and Laboratory-oriented Studies
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Lamyaa El-Gabry, Princeton University
Tagged Divisions
Experimentation and Laboratory-Oriented Studies
learn the material and could complete the experiment without instructor intervention.Henke et al [4] used a hybrid approach where students are able to design control algorithms tocontrol electro-mechanical models in the online lab. In this format, the experiment actually takesplace, and the data reflects interactions between physical devices, not virtual entities. However,these remote web-accessible laboratories are in some respect similar to simulations in that thestudent does not have to be co-located with a particular piece of laboratory apparatus. Nedic et al.[5] developed remotely controlled labs called NetLab that allows multiple students to run anexperiment remotely in real time. Amiguid et al. [6] evaluated 100 web-based remote labs
Conference Session
Graduate Studies Division Technical Session 2
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Nathalie Duval-Couetil, Purdue University at West Lafayette; Soohyun Yi, Texas Tech University
Tagged Topics
Diversity
Tagged Divisions
Graduate Studies
varyconsiderably and we found no evidence of programs sharing the same assessment instruments orprotocols. A few examples are below. They describe evaluation from different viewpoints and we presentthem here to show examples of the diversity of methods employed, and some research outcomes andreflections. • One paper described the use of specific assessment methods including competency rubrics, individual development plans, and ePortfolios for evaluation (Chang, Semma, Fowler, & Arroyave, 2021). The rubrics encompassed professional and technical skills including: 1) interdisciplinary knowledge generation, 2) collaboration, 3) conflict resolution, 4) oral communication, 5) written communication, 6) self-reflection, 7
Conference Session
Critical Conversations on Being Valued
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Minha R. Ha, York University; Jeffrey Harris, York University; Aleksander Czekanski , CEEA-ACEG
Tagged Topics
Diversity
Tagged Divisions
Culture & Social Justice in Education, Equity
perspective, we assume the following principles: problematize status quo,look at the use of language as clues to how ways of thinking and behaviour are structured, lookfor existing mechanisms of inequality, and look for creative alternatives for a more just/equitableoutcome.First, in order to describe what mechanisms of exclusion exist and become significant in studentexperiences, we looked for student accounts of their direct experiences (e.g. of barriers to fullparticipation in engineering education). Students also reflected on their observations on thecontrast between exclusion and inclusion. This resulted in the identification of: the location ofrepresentation gap that became influential; socially-mediated mechanisms that actually lead
Conference Session
Minorities in Engineering Division Technical Session 5
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Fethiye Ozis P.E., Northern Arizona University; Tina Zecher, Northern Arizona University; Nena E. Bloom, Northern Arizona University
Tagged Topics
Diversity
Tagged Divisions
Minorities in Engineering
Conference Session
Pre-College Engineering Education Division Technical Session 11
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Maria Manzano, California Polytechnic State University, San Luis Obispo; Emma Della; Gerome Cacho; Drew Miller; Dennis Derickson, California Polytechnic State University, San Luis Obispo
Tagged Topics
Diversity
Tagged Divisions
Pre-College Engineering Education
Conference Session
Studies of Student Teams and Student Interactions
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Javeed Kittur, Arizona State University; Samantha Ruth Brunhaver, Arizona State University; Jennifer M. Bekki, Arizona State University; Eunsil Lee, Florida International University
Tagged Topics
Diversity
Tagged Divisions
Educational Research and Methods
Conference Session
Software Engineering Division Technical Session 2
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Ingrid Buckley, Florida Gulf Coast University; Peter J. Clarke, Florida International University
Tagged Divisions
Software Engineering Division
STEM Education (IUSE) program under Award Numbers DUE-1562773 and DUE-1525112. Any opinions, findings, and conclusions expressed in this material are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation. The authorswould like to thank the reviewers for their thoughtful and encouraging feedback on improving thepaper.References [1] C. Ebert and S. Counsell, “Toward software technology 2050,” IEEE Software, vol. 34, no. 4, pp. 82–88, 2017. [2] H. Krasner, “The cost of poor quality software in the us: A 2018 report,” Consortium for IT Software Quality (CISQ), September 2018, https://cra.org/data/Generation-CS/ (retrieved August, 2020). [3] R. Florea and V. Stray, “A global view on the hard skills
Conference Session
Design Courses 2, Aerospace Assets
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Tobias Rossmann, Lafayette College
Tagged Divisions
Aerospace
Conference Session
Pre-college Engineering Education Division Technical Session 1
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Sarah Lilly, University of Virginia; Anne Marguerite McAlister, University of Virginia; Sarah J. Fick, University of Virginia; Jennifer L. Chiu, University of Virginia; Kevin W. McElhaney, Digital Promise
Tagged Topics
Diversity
Tagged Divisions
Pre-College Engineering Education
included teachers explaining how to usestudents’ computational models to test their designs or guiding students to reflect on their priorknowledge to consider how certain materials may or may not be accessible to students withphysical disabilities.Table 4. Epistemic, practical, or not practice-based teacher talk by class. Epistemic Practical Not Practice-Based Lesson Orange Blue Orange Blue Orange Blue All Lessons 7% 17%+ 66% 67% 27%+ 16% Design 6% 15%+ 66% 75%+ 28%+ 10% Test 0% 11%+ 82% 79% 18%+ 11% Communicate 12
Conference Session
Technical Courses and Liberal Education
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Kenneth W. Van Treuren, Baylor University; William M. Jordan, Baylor University; Cynthia C. Fry, Baylor University
Tagged Topics
Diversity
Tagged Divisions
Liberal Education/Engineering & Society
iGens or not. The observations of the authors thus farsuggest that many STEM university students reflect the iGen trends and are no different.Helping iGen Prepare for the Workplace and LifeAs students enter the university, there is an implied requirement to help students mature fromwhere they are to where they need to be upon graduation. Van Treuren and Jordan addressed therole of the university in the formation of student maturity [18]. The university is a communitywhere personal development occurs. A function of the university is embodied in the phrase “inloco parentis.” Legally, it means “in place of a parent” and refers to the obligation of a person ororganization to take on some of the functions and responsibilities of a parent. At any
Conference Session
Novel Strategies for Studying Liberal Education
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Michael Lachney, Michigan State University; Madison C. Allen, Michigan State University ; Briana P. Green, Michigan State University
Tagged Divisions
Liberal Education/Engineering & Society
exploring constructionist learning for a new generation of young people. In after-school and out-of-school settings, educational robotics became uniquely supportive for applyingconstructionism to engineering design education [22]. Similar to the early promotion of Logo,the hands-on engineering design affordances of educational robotics is purported to advance stu-dents’ knowledge and skills by flattening the hierarchy between concrete and formal thinking[23], [24], [25], [15]. As children engage in robotics activities they are given the opportunity to learn-by-doing,a foundation to constructionist design that reflects real world enterprises and encourages the ma-terial exploration of “big ideas” [26], [12], [2], [27]. Robotics kits for out
Conference Session
Pre-college Engineering Education Division Technical Session 19
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Pooneh Sabouri, New York University; Shramana Ghosh, New York University Tandon School of Engineering; Abhidipta Mallik, New York University Tandon School of Engineering; Vikram Kapila, NYU’s Tandon School of Engineering
Tagged Divisions
Pre-College Engineering Education
undergraduate mentors to reflect on theirassumptions. They re-conceptualized learning as a collaborative action as opposed to thetransmission of knowledge from a teacher to students [23] and overcame their frustrations andstruggles with the program. Accordingly, they began to play the role of a collaborator and partnerwith children and developed productive and meaningful learning experiences for themselves andthe children.In our work, for several years, we have been implementing workshops for teachers and theirstudents, to allow them to jointly learn the fundamental concepts, engineering design, andengineering practices through hands-on learning with robotics. Using the characteristics ofinformal learning [16], we identify our workshops as a semi
Conference Session
Grading and Feedback Models in Mechanics
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Petros Sideris, Texas A&M University; Maria Koliou, Texas A&M University
Tagged Divisions
Mechanics
differences in the mean between the two samples. In thisstudy, statistical significance is assumed to be referring to a significance level of 5%. It isclarified that, although a more accurate statistical analysis that would account for properprobability distributions and sample sizes is possible, the analysis presented here is consideredsufficient to identify trends within the context of this study.According to these tables, the proposed assessment model clearly improves the quality of courseinstruction and learning environment during the semester and results in higher studentsatisfaction, particularly as this latter is reflected in the overall rating of the course and instructor(Q7/Q8 and Q16 in Tables 1 through 6, and several questions in Tables 7
Conference Session
Research in Faculty Development
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Sylvia L. Mendez, University of Colorado at Colorado Springs; Valerie Martin Conley, University of Colorado at Colorado Springs; Sarah E Cooksey, University of Colorado Colorado Springs ; Kathryn Elizabeth Starkey, University of Colorado Colorado Springs
Tagged Topics
Diversity
Tagged Divisions
Faculty Development Division
Conference Session
Pre-college Engineering Education Division Technical Session 6
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Marcelo Caplan, Columbia College
Tagged Divisions
Pre-College Engineering Education
: “Compared to other PD I participated (not a part of the SfT PD series),the amount I learned in this PD was:” 66.4% answer Much more, 23,7% Somewhat more and8.6% About the same. This affirmative answer is also reflected in the responses of the open-ended questions.When asked the question: “Overall, the course was:” 71.1% answer Excellent and 25.7%answerVery good.4.2.1.3 – Open-ended questionsAfter reviewing the response of the open-ended questions, it is possible to see some patterns.These common constructs are presented below:To the question: "What elements of the PD most contributed to your learning?", the vastmajority expressed that the use of hands-on activities to develop the concepts. Also, to constructthe artifacts involved in each module was
Conference Session
Faculty Development Lightning Talk Session 2
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Matilde Luz Sanchez-Pena, University at Buffalo; Syed Ali Kamal, Independent Researcher
Tagged Topics
Diversity
Tagged Divisions
Faculty Development Division
level contributes to this vision. Despite some gains in recent decades, women faculty inengineering are still underrepresented. Between 2006 and 2016, the proportion of women facultyin engineering grew from 16% to 23% at the assistant level, from 11.9% to 18.3% at theassociate level, and from 3.8% to 10.6% at the full professor level [2], [3]. While the proportionof women faculty at the lower ranks has increased significantly, the limited representation ofwomen at higher faculty ranks limits their potential for reaching leadership roles andcontribution with significant decision-making to influence engineering education [4]. Althoughthe presented gains are of value, and may already reflect the effect of multiple initiativesimplemented to support
Conference Session
Faculty Track - Technical Session II
Collection
2018 CoNECD - The Collaborative Network for Engineering and Computing Diversity Conference
Authors
Nicole N. Aljoe, Northeastern University; Stacy Blake-Beard, Simmons College; Michele C. Deramo, Virginia Tech; Barbara J. Guthrie, Northeastern University; Kathleen Kenney, Northeastern University; Carol B. Muller, Stanford University; Jan Rinehart, Northeastern University; Rania Sanford, Stanford University; Shawna Vican, University of Delaware
Tagged Topics
Faculty
change their institution’s policies and practices, they are also seeking out mentors [10],[12], and [23]-[27], and networks of mentors [11], [12], [19] to provide strategies and support asthey move through their academic lives. This paper provides four examples of conferencesdeveloped by universities as an avenue to build communities for women of color who are currentor prospective faculty members. Goals, strategies, outcomes, and lessons learned from each ofthe conferences are described. The strategies reflect the varying cultures of the institutions andindividuals involved in developing them. The paper concludes with a summary of actions theseuniversities are taking forward to continue to build communities and networks for current
Conference Session
NSF Grantees Poster Session
Collection
2017 ASEE Annual Conference & Exposition
Authors
Gisele Ragusa, University of Southern California; John Brooks Slaughter P.E., University of Southern California; Cathalina Juarez, University of Southern California
Tagged Topics
Diversity, NSF Grantees Poster Session
and flagged to generate a listing of internally consistent, discretecategories (open coding), followed by fractured and reassembled (axial coding) of categories bymaking connections between categories and subcategories to reflect emerging themes andpatterns. Categories were integrated to form grounded theory (selective coding), to clarifyconcepts and to allow for interview interpretations, conclusions and taxonomy development.Frequency distribution of the coded and categorized data were obtained using a computerizedqualitative analytical tool, Hyperrresearch® version 3.5.2. The intent of this intensive qualitativeanalysis was to identify patterns, make comparisons, and contrast one transcript of data withanother during our taxonomy and CPPI
Conference Session
Design in Engineering Education Division Poster Session
Collection
2017 ASEE Annual Conference & Exposition
Authors
Yoselyn Walsh, Purdue University, West Lafayette; Alejandra J. Magana, Purdue University, West Lafayette ; Tugba Yuksel, Purdue University, West Lafayette; Vojtech Krs, Purdue University, West Lafayette; Ida B. Ngambeki, Purdue University, West Lafayette; Edward J. Berger, Purdue University, West Lafayette; Bedrich Benes Ph.D., Purdue University, West Lafayette
Tagged Divisions
Design in Engineering Education
correctly. Also, those who did not know the rules regardingfriction force could not predict correctly or changed their ideas to correct ones after engagingwith the PMT. These findings are aligned with prior studies that claimed that the PMT is not asufficient tool itself to improve physics content knowledge (Triona & Klahr, 2003; Zacharia, andOlympiou, 2011). Identifying false affordances that leads to misconceptions and perceptible affordances of PMT,can help to inform the design of visuo-haptics simulations that considers the learner as the centerof the design process. For instance, a perceptible affordance of the PMT we identified was thatthe sense of touch helps participants to explain and reflect about their reasoning of each scenario.We
Conference Session
Technical Session 5a
Collection
2017 Pacific Southwest Section Meeting
Authors
Amelito G Enriquez, Canada College; Erik N Dunmire, College of Marin; Thomas Rebold, Monterey Peninsula College; Nicholas Langhoff, Skyline College; Tracy Huang, Canada College
Tagged Topics
Diversity, Pacific Southwest Section
Conference Session
Technical Session 5b
Collection
2017 Pacific Southwest Section Meeting
Authors
Erik N Dunmire, College of Marin; Thomas Rebold, Monterey Peninsula College; Eva Schiorring, Canada College; Amelito G Enriquez, Canada College; Nicholas Langhoff, Skyline College
Tagged Topics
Pacific Southwest Section
curriculum.AcknowledgementsThis project is supported by the National Science Foundation through the ImprovingUndergraduate STEM Education (IUSE) program, Award No. DUE ########. Any opinions,findings, and recommendations expressed in this paper are those of the authors and do notnecessarily reflect the views of the National Science Foundation.REFERENCES President’s Council of Advisors on Science and Technology (PCAST) (2012). Engage to excel: Producing one million additional college graduates with degrees in science, technology, engineering, and mathematics. Retrieved from http://www.whitehouse.gov/sites/default/files/microsites/ostp/pcast-engage-to-excel-final_2-25- 12.pdf National Research Council and National Academy of Engineering (2012). Community
Conference Session
Concurrent Paper Tracks Session II - Courses II
Collection
2017 ASEE International Forum
Authors
Randal T Abler, Georgia Institute of Technology; Edward J. Coyle, Georgia Institute of Technology; Talis Juhna, Riga Technical University; Hale Kim, Inha University; Stephen Marshall P.E., University of Strathclyde; Mauricio Pardo, Universidad del Norte; Julie Sonnenberg-Klein, Georgia Institute of Technology; Winston Spencer Percybrooks, Universidad del Norte
Tagged Topics
Main Forum (Podium Presentation)
programdifferentiates it from clubs and extracurricular activities. Participation in VIP earns studentscredits toward their degree requirements, engaging students who might not otherwise have timefor extracurricular activities. The grading aspect holds students accountable for theirperformance, with letter grades maintaining a higher level of engagement than do pass/failgrades. In support of the grading and evaluation, VIP programs require students to maintainrigorous documentation of their efforts, typically in the form of VIP notebooks or institution-approved electronic portfolios. VIP programs also involve peer evaluations, reflecting the team-based nature of the course. Georgia Tech has developed a web-based peer evaluation tailored toVIP, which will soon
Conference Session
Potpourri: Various Issues and Topics in Graduate Studies
Collection
2016 ASEE Annual Conference & Exposition
Authors
Donna M Mohr, Lehigh University; Jennifer H. Gross P.E., Lehigh University; Raymond A Pearson, Lehigh University; John B Ochs, Lehigh University; Ana-Iulia Alexandrescu, Lehigh University
Tagged Divisions
Graduate Studies
questions. First andforemost, the responses emphasize the importance of investing time and resources in educatingyour own undergraduates about the options available to them at their home academic institution.As reflected in the data, a number of students will opt to stay an additional fifth year to obtain amaster’s degree especially when they are not considering continuing on to a Ph.D. Furthermore,keeping faculty informed of your programs will pay dividends during the recruiting season. Evenin this advanced technological age, quality students continue to reach out to faculty members foradvice on where to attend graduate school. The combined response totals for interactions withfriends or program alumni as a significant factor in their decision to