Conference Session

Laboratory Experiences in Mechanical, Materials and Thermal Systems

Collection

2013 ASEE Annual Conference & Exposition

Authors

Matthew J. Traum, Milwaukee School of Engineering; Vincent C Prantil, Milwaukee School of Engineering; William C Farrow, Milwaukee School of Engineering; Hope Leigh Weiss, Milwaukee School of Engineering

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

, and reflect on the impacts their choices had on rocket performance using distincttools from the discipline of each course.Among the novel aspects of our approach is to expand beyond a two-course project sequencespanning just one academic year, a technique already used in many engineering curricula.Instead, our project is integrated into a multi-year five-required-course sequence with at least onecourse appearing in each year of the four-year mechanical engineering curriculum. We expectthis approach to engender significant benefits to student learning. First, it promotes “spacedrepetition”, wherein learners encounter the same material in briefer sessions spread over longertime periods rather than the study of information in single blocks, as

Conference Session

Programs in Entrepreneurship

Collection

2013 ASEE Annual Conference & Exposition

Authors

Andrew L Gerhart, Lawrence Technological University; Donald D. Carpenter P.E., Lawrence Technological University

Tagged Divisions

Entrepreneurship & Engineering Innovation

and Ahad Ali EME 3023 Manufacturing Processes 3 Numerical Vernon Fernandez EME 3033 Engr. Numerical Methods 3 MethodsThe KIT training process requires a two-year commitment involving week-long workshops,ACL/PBL implementation, report-back accountability sessions, and closing-the-loop sessions.Because of the commitment, almost all of the faculty members in the KIT program are full-time,although a few trusted adjunct instructors have also been selected to participate. Currently 56faculty members have been trained in PBL and ACL techniques representing approximately 46courses. (Table 3 reflects a lower number of KIT faculty; some faculty are no longer

Conference Session

Potpouri - A Mix

Collection

2013 ASEE Annual Conference & Exposition

Authors

Oai Ha, Utah State University; Ning Fang, Utah State University

Tagged Divisions

Mechanics

reflect student learning gains. Many assessment studies wereperformed with neither a control group nor random assignment of student participants, omissionswhich presented a significant threat to their validity. Based on our research findings descried inthis paper, we suggest that particular attention be paid to control students’ cognitive load at anappropriate level when designing and implementing CSA modules and programs in order tomaximize student learning outcomes.IntroductionIn learning many engineering subjects, students must develop skills to visualize the motion ofobjects over space and time. With advances in computer technology and communicationnetworks, more and more engineering educators have employed web-based computer simulation

Conference Session

Intercollegiate and Cross-disciplinary Collaboration

Collection

2013 ASEE Annual Conference & Exposition

Authors

Barbara Burks Fasse PhD, Georgia Institute of Technology; James William Schwoebel, Georgia Institute of Technology; Ethan James Craig, Georgia Institute of Technology; Anish Joseph, Georgia Institute of Technology; Ajit Vakharia, Georgia Institute of Technology; Steve M. Potter PhD, Georgia Institute of Technology; Kim Dooley, Texas A&M University; James DUPE Linder, Texas A&M University

Tagged Divisions

Multidisciplinary Engineering

participants to reflect on their experience in real-timebecause accuracy of memories tend to be heavily influenced by the final experiences thusintroducing three of Schacter (23 seven memory flaws: transience (decreasing accessibility ofinformation over time), absent-mindedness (inattentive or shallow processing that contributes toweak memories), and blocking (temporary inaccessibility of information that is stored inmemory). To control for this, the structured journal was designed to serve as a series of in-the-minute, real-time surveys in which students were given a prompt as a topic for focusing eachweek’s reflection as well as to report their engagement as it developed over time. Its utility as atool is to increase the validity of the data by

Conference Session

K-12 Professional Development I

Collection

2013 ASEE Annual Conference & Exposition

Authors

Jed S. Lyons, University of South Carolina; Erica Pfister-Altschul, University of South Carolina

Tagged Divisions

K-12 & Pre-College Engineering

results of the second survey constitute thebulk of this study, and are discussed below.Second Survey ParticipantsFifty five survey responses were complete enough to be used. The distribution of participants byyear of participation, gender, and major field is shown in Table 2. These reflect the changingnature of the participant pool. Science Fellows began participating in 2005 and the largestcohorts occurred in years 2005-2010. We compared the demographics of all original GK-12Fellows to those who participated in the second survey, and found that the percentages of thesurvey participants were approximately the same (see Table 3). Therefore, the survey sample isconsidered to be representative of participants in our GK-12 program. Table 2

Conference Session

NSF Grantees' Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Ashland O. Brown, University of the Pacific; Richard H. Crawford, University of Texas, Austin; Daniel D. Jensen, U.S. Air Force Academy; Joseph J. Rencis P.E., Tennessee Technological University; Jiancheng Liu, University of the Pacific; Kyle A. Watson, University of the Pacific; Kathy Schmidt Jackson, Pennsylvania State University, University Park; Rachelle Kisst Hackett, University of the Pacific; Paul Henry Schimpf, Eastern Washington University; Chuan-Chiang Chen, California State Polytechnic University, Pomona; Ismail I Orabi, University of New Haven; Firas Akasheh, Tuskegee University; John J Wood, U.S. Air Force Academy; Brock U Dunlap, University of Texas, Austin; Ella R. Sargent, University of the Pacific

Tagged Topics

NSF Grantees Poster Session

. Page 23.224.7 4  Figure 1. Kolb Learning CycleLearning StylesEach FE ALM developed in this work is designed to span a spectrum of different characteristicsin which students learn. The Felder-Soloman Index of Learning Styles25 is composed of fourdimensions: active/reflective, sensing/intuitive, visual/verbal, and sequential/global [Table 1].Active learning tools are designed to meet the needs of students with a range of learning styles.Particular approaches to teaching often favor a certain learning preference. Therefore it isimportant to incorporate a variety of teaching approaches This index can assist instructors increating active learning modules

Conference Session

Engineering Identity 2

Collection

2013 ASEE Annual Conference & Exposition

Authors

Rachel McCord Ellestad, Virginia Tech

Tagged Divisions

Educational Research and Methods

researcher’s bias inmedia selection and should be stated for use in analysis. For Dilbert, the three main themesidentified by the researcher are 1) social awkwardness of engineers, 2) engineers believe that allnon-engineers are ignorant and 3) all engineers are white males. For Mythbusters, the mainthemes are 1) science is fun, 2) white males are the leaders in engineering and 3) science is aboutblowing stuff up. For The Big Bang Theory, the main themes are 1) social awkwardness ofengineers, 2) engineers have extreme difficulty interacting with the opposite sex and 3) engineersare white males. The themes identified in these media articles reflect the nerd identity theorypresented by Kendall that show that nerds are socially awkward white males 6. When

Conference Session

Minority Student Success

Collection

2013 ASEE Annual Conference & Exposition

Authors

Annita Alting, Grove School of Engineering, The City College of the City University of New York; Feridun Delale, City College of the City University of New York; Joseph Barba, City College of the City University of New York

Tagged Divisions

Minorities in Engineering

of the City College of New York (CCNY), anurban commuter college offering over 100 degrees in liberal arts and social science, science,education, engineering, medical studies and architecture. The diverse student body of CCNYconsists of about 13000 undergraduates and over 3000 graduate students, including more than200 Ph.D. students in engineering. Grove’s student body reflects a similar diversity, with over2200 undergraduates, about 480 master’s students and approximately 200 Ph.D. students. Atpresent, the school offers eight ABET accredited undergraduate programs in biomedical,chemical, civil, computer, electrical and mechanical engineering, computer science andenvironmental science & systems engineering. The school offers seven

Conference Session

NSF Grantees' Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Erin M Fitzgerald, Museum of Science; Christine M Cunningham, Museum of Science

Tagged Topics

NSF Grantees Poster Session

professor and chairperson of the Childhood Education Department at SSU,works to ensure that the students from Dr. Bade’s course are later placed in practicumexperiences with teachers who have been trained in engineering and technology content andproblem-based pedagogy. There are many players involved in an elementary teacher’s preservicepreparation, but when there is fluid communication and collaboration between them all, newteachers enter the classroom confident that they can teach engineering and technology to theirstudents, and committed to the importance of doing so.How do we measure success?Measurement of the BEST project’s success has centered on two main areas that reflect theoverarching goals of the grant: • How helpful does the faculty

Conference Session

State of Manufacturing

Collection

2013 ASEE Annual Conference & Exposition

Authors

Hugh Jack, Grand Valley State University

Tagged Divisions

Manufacturing

demand means that there has been little success inaddressing these needs. Given that there is little difference between the academic and practitioneropinions the problems are not based in a lack of interest, other factors must be involved. Recommendation: Apply new and innovative efforts to address Automation and Control, CAD/CAM, and Lean Manufacturing in the curriculum.Areas with a high, but decreasing demand include Advanced Processes, Basic Science andMathematics, Materials Science, and Product Design. This reflects the success of various groupsin addressing these needs. Naturally these efforts that have begun in these areas should continue. Recommendation: Continue curriculum development work in Advanced Processes

Conference Session

Novel Pedagogies 2

Collection

2013 ASEE Annual Conference & Exposition

Authors

Megan F. Campanile, Illinois Institute of Technology; Frederick Doe, Illinois Institute of Technology; Elana Rose Jacobs, Illinois Institute of Technology; Norman G Lederman, Illinois Institute of Technology; Eric M Brey, Illinois Institute of Technology

Tagged Divisions

Educational Research and Methods

reflected about her summer experience, she talked about what she had learnedabout herself over the summer. In terms of her career, she gained many different perspectivesabout her future research goals, possibilities, and preferences. Estelle’s academic perspectivegains related to what would be expected of her in undergraduate and graduate programs. Thefollowing quote illustrated how Estelle has synthesized her research experience to apply to heracademics for next semester. “I’m going to stick in my Biology major. I was trying to switch because classes started getting hard. But after, basically, learning that I can learn a vast amount of things in a short amount of time. And that I gained confidence in how I can, like, actually

Conference Session

Retaining and Developing Women Faculty in STEM

Collection

2013 ASEE Annual Conference & Exposition

Authors

Ziyu Long, Purdue University; Patrice Marie Buzzanell, Purdue University, West Lafayette; Klod Kokini, Purdue University, West Lafayette; Robyn F Wilson, Purdue University; Jennifer C Batra, Purdue University ; Lindsey B. Anderson, Purdue University

Tagged Divisions

Women in Engineering

her mentors through aresearch collaboration, “I was very lucky to have a colleague … three or four years into myassistant appointment, who got a very large grant that I was kind of dragged into, fell into byaccident, who really showed me how to run a very large grant and how to do different kinds ofresearch.” In this case, Berta received mentoring as part of a seemingly natural process when sheworked with her colleague in this research project. Reflecting on this experience, Berta nowconsiders her colleague to be an important mentor to her (see Figure 1). Other participants notedthat their mentors were people with whom they taught and/or collaborated in various ways. Although most of the reported multiplex ties between mentor and mentee

Conference Session

CIP Technical Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Samantha Ruth Brunhaver, Stanford University; Shannon Katherine Gilmartin, Stanford University; Michelle Marie Grau, Stanford University; Sheri Sheppard, Stanford University; Helen L. Chen, Stanford University

Tagged Divisions

College Industry Partnerships

Conference Session

Research Initiatives

Collection

2013 ASEE Annual Conference & Exposition

Authors

Helena Isabel Scutt, Stanford University; Shannon Katherine Gilmartin, Stanford University; Sheri Sheppard, Stanford University; Samantha Ruth Brunhaver, Stanford University

Tagged Divisions

K-12 & Pre-College Engineering

-educated women have increased their share ofthe overall workforce”1. The gender gap in STEM employment is not an anomaly; it reflects thedisparity in the relative numbers of men and women pursuing STEM education, of which the K-12 years, particularly high school, are this paper’s focus.Female high-school students are more likely to aspire to attend college than are their malecounterparts, and young women enroll in college, persist, and graduate from it at higher rates aswell2. So why does this STEM-specific gap exist? This paper employs the tools of “genderanalysis” to address this question.Gender analysis provides a framework for thorough analysis of the differences between women’sand men’s “gender roles, activities, needs, and opportunities in a

Conference Session

Engineering Identity 2

Collection

2013 ASEE Annual Conference & Exposition

Authors

Malinda Faber, The Friday Institute for Educational Innovation at North Carolina State University; Alana Unfried, North Carolina State University; Eric N. Wiebe, North Carolina State University; Jeni Corn, Friday Institute for Educational Innovation, NC State University; Latricia Walker Townsend; Tracey Louise Collins, North Carolina State University

Tagged Divisions

Educational Research and Methods

example, an original pilot item read, “I would like to learn how tomake safer cosmetics.” The engineering education experts and researchers did not find this itemto be gender neutral and removed it from the construct. They also aimed to make the engineeringattitudes section a more comprehensive measure by including items relevant to engineeringcareers requiring a Bachelor’s degree as well as those not requiring a Bachelor’s degree, liketechnologists. The team developed new questions to include words like “design,” “create,” and“imagine” as well as words like “build” and “fix.” They renamed the engineering section“Engineering and Technology” to reflect the new focus on the work of not only engineers butalso of technologists and other skilled

Conference Session

Electrical and Computer Engineering (ECE) Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Alexander Ganago, University of Michigan; Hongwei Liao

Tagged Divisions

Electrical and Computer

entireclass, we award every participant of each survey with 0.1% extra credit on the 100%scale for the course. The maximal number of points that a student can earn viaparticipation in surveys was 1.6% in the Fall 2012; for comparison, the reward for earlysubmission of homework was ~3-fold higher. We believe that extra credit forparticipation is justified, because thoughtful feedback requires reflection on learning andteaching, which in turn stimulates meta-communication and comprehension of the coursematerial. The average amount of extra credit for participation in surveys earned bystudents in the Fall 2012 was 0.86%, while the width of each letter grade bin was 4%(straight scale, no “curve”); thus extra credit points only slightly influenced the

Conference Session

Software Engineering Pedagogical Approaches

Collection

2013 ASEE Annual Conference & Exposition

Authors

John C. Georgas, Northern Arizona University

Tagged Divisions

Software Engineering Constituent Committee

architectural styles is that they go beyond simple narratives of designexperiences, and capture design expertise that has been refined through careful reflection in aneffort to codify important lessons. By providing students with a solid foundation inunderstanding the applicability, key characteristics, advantages, and disadvantages ofarchitectural styles, educators can provide learners with valuable starting points for their owndesign activities as well as build expertise in identifying critical design trade-offs.The instruction of architectural styles, however, remains challenging, primarily due to afundamental disconnect between the dynamic nature of the software compositions thatarchitectural styles model and the static artifacts most commonly used

Conference Session

Curricular Issues in Computing and Information Technolog Programs

Collection

2013 ASEE Annual Conference & Exposition

Authors

Brian R. King, Bucknell University; Ashwin Satyanarayana, New York City College of Technology

Tagged Divisions

Computing & Information Technology

quite pleased to work on an interesting, relevant large-scaledataset of their choice, and see how the methods taught would work in practice; their enthusiasmwas reflected in the results obtained.6.2 Reflection and DiscussionOne of the biggest challenges we faced with the design of the course was from the unexpectedinterest from non-CS majors. While this was a pleasing observation, it did require us toreconsider the depth of some material, and perhaps consider some different techniques in thefuture, as the interest is continuing to expand. We are strongly considering offering two variantsof the course: one course would be the existing data mining course as an elective for thecomputer science major, with a prerequisite of taking a course on data

Conference Session

Thermal Sciences

Collection

2013 ASEE Annual Conference & Exposition

Authors

Georg Pingen, Union University

Tagged Divisions

Mechanical Engineering

be fair with one student taking particularissue with the fact that their grade depended in part on peer evaluations. There was alsoexpressed concern regarding the fact that not all group members could be assigned a 10/10 on thepeer evaluations (see Appendix 1). Finally, while not asked as part of the EGR 450questionnaire, the same student group indicated unanimous support for the online screencasts inthe EGR 250 course questionnaire during the previous semester. The primary student request Page 23.1158.13was the addition of extra screencasts with example problems. The student support for the TBLformat is further reflected in the

Conference Session

First Year Engineering

Collection

2013 ASEE Annual Conference & Exposition

Authors

Xingyu Chen, Purdue University, West Lafayette; Matthew W. Ohland, Purdue University, West Lafayette; Russell Andrew Long, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

effect is reflected in the coefficientb1 of the interaction between Ri and Mi. Additionally, we run multiple regression analyses forfirst-time engineering students using almost the same models except that Ei is deleted.Logistic regression models are applied to study dichotomous outcome variables that measurefirst-time student course-taking behaviors. The form of logistic models differs from multipleregression models (1) and (2) only in the outcome variables: Y01FRA = b0 + b1∙Ri∙Mi + b2∙SAT + b3∙Gi + b4∙Ei + ck∙Yk (3) Y01W = b0 + b1∙Ri∙Mi + b2∙SAT + b3∙Gi + b4∙Ei + ck∙Yk (4) Y01S = b0 + b1∙Ri∙Mi + b2∙SAT + b3∙Gi + b4∙Ei + ck∙Yk (5)Y01FRA in (3) is an indicator of full course load

Conference Session

Engineering in K-12 Science and Mathematics Standards

Collection

2013 ASEE Annual Conference & Exposition

Authors

Tamara J Moore, University of Minnesota, Twin Cities; Kristina Maruyama Tank, University of Minnesota, Twin Cities; Aran W Glancy, University of Minnesota, Twin Cities; Jennifer Anna Kersten, University of Minnesota, Twin Cities; Forster D Ntow, University of Minnesota, Twin Cities

Tagged Divisions

K-12 & Pre-College Engineering

. In the K-12 setting, engineering can help students learn to use informed judgment to make decisions, which can lead to informed citizenry. Students must be empowered to believe they can seek out and troubleshoot solutions to problems and develop new knowledge on their own. Engineering requires students to be independent, reflective, and metacognitive thinkers who understand that prior experience and learning Engineering from failure can ultimately lead to better solutions. Students must also learn to manageThinking (EThink) uncertainty, risk, safety factors, and product reliability. There are additional ways of

Conference Session

FPD 8: Engineering Math Issues

Collection

2013 ASEE Annual Conference & Exposition

Authors

Tanya D Ennis, University of Colorado Boulder; Jacquelyn F. Sullivan, University of Colorado, Boulder; Beverly Louie, University of Colorado, Boulder; Daniel Knight, University of Colorado, Boulder

Tagged Divisions

First-Year Programs

whole, Figures 11 and 12 show ALEKS performancefor the course. Figure 11. Initial ALEKS assessment pie chart for overall class performance. Figure 12. Final ALEKS assessment pie chart for overall class performanceTable 5 reflects the initial and post assessment results and percent increase for each topic. Theseresults reflect significant growth for the class as a whole for all topics. Table 5. Class performance—mastery of ALEKS topics: initial and final assessment. Class Initial Class Final ALEKS Objectives/Topics % Increase Assessment Assessment

Conference Session

Laboratory Experiences in Mechanical, Materials and Thermal Systems

Collection

2013 ASEE Annual Conference & Exposition

Authors

Roger A Beardsley PE, Central Washington University

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

Conference Session

CEED - Technical Session 2

Collection

2013 ASEE Annual Conference & Exposition

Authors

Rui Pan, Purdue University, West Lafayette; Johannes Strobel, Purdue University, West Lafayette

Tagged Divisions

Cooperative & Experiential Education

experience and focused reflection in order toincrease knowledge, develop skills, and clarify values” 6 (p. 2). Brumm et al. further narroweddown this definition, arguing that “it is work experience in an engineering setting, outside ofthe academic classroom, and before graduation” 6 (p. 2) and suggested that “Engineeringexperiential education programs, such as cooperative education and internships, present thebest place to directly observe and measure students developing and demonstratingcompetencies while engaged in the practice of engineering at the professional level” 6 (p. 2).One typical experiential learning program is co-op program. Garavan and Murphy (2001)defined cooperative education as “a unique form of education and experiential learning

Conference Session

Robots and K-12 Computer Applications

Collection

2013 ASEE Annual Conference & Exposition

Authors

Cheryl D. Seals, Auburn University; Earl B. Smith, Georgia Southern University

Tagged Divisions

Computers in Education

the influx and progression of K-12students through graduate school in programs that lead to computing careers. This material isbased in part upon work supported by the National Science Foundation under Grant NumberCNS-0540492. 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 NationalScience Foundation.Bibliography1. Fiegerman, S. (2010). The Dumbest States in America. Jan 21, 2010. Retrieved from http://www.mainstreet.com/slideshow/lifestyle/smartest-dumbest-states.2. Shahami, M. (2008). Overview of the New Undergraduate Computer Science Curriculum. Stanford Research Institute, http://www.stanford.edu/class/cs298

Conference Session

Design Based Energy Education

Collection

2013 ASEE Annual Conference & Exposition

Authors

Oxana S Pantchenko, University of California at Santa Cruz; Tiffany Wise-West P.E., University of California Santa Cruz; Michael S. Isaacson, University of California, Santa Cruz; Ali Shakouri Shakouri, Purdue University

Tagged Divisions

Energy Conversion and Conservation

 with rebateoffsets, summaries of policy and permitting requirements, and making note of the potential for socialacceptance. Students were not given a budget for their projects but rather were instructed to keep theproposal’s estimated cost reasonable.  Despite discussions with the project mentor on this directive, itwas clear during and after the proposals were prepared that students were not cognizant of what a“reasonable” budget entailed. In reflection, the authors agree that student exposure to the varying scalesof cost associated with different renewable energy technologies could be presented during the lecturesand may result in better performance in this area.Through consultations with both the project mentor and course instructor before

Conference Session

Capstone Design

Collection

2013 ASEE Annual Conference & Exposition

Authors

E James Nelson, Brigham Young University; Tatevik Christensen; Fernando S Fonseca, Brigham Young University; A. Woodruff Miller, Brigham Young University

Tagged Divisions

Design in Engineering Education

application inpreparation for entry into a career.” Durel [3] offers another perspective stating that capstone canbe seen as a “rite of passage or luminal threshold through which participants change their statusfrom student to graduate. A capstone course should be a synthesis, reflection and integration,and a bridge or a real-world preparatory experience that focuses on the post-graduation future.”Other definitions include, a crowning course or experience coming at the end of a sequence ofcourses with the specific objective of integrating a body of relatively fragmented knowledge intoa unified whole [4], and an experimental learning activity in which analytical knowledge gainedfrom previous courses is joined with the practice of engineering in a

Conference Session

Programs in Support of Systems Engineering Education

Collection

2013 ASEE Annual Conference & Exposition

Authors

Susan K Donohue, University of Virginia; Ali Bouabid, Khalifa University of Science and Technology

Tagged Divisions

Systems Engineering

tosystems engineering in this paper. Planning for this new academic track took place in Fall, 2011;the pilot of the Introduction to Systems Engineering course occurred in Spring, 2012 and Fall,2012. The course is consciously structured after the introductory course at the University ofVirginia (UVa), the transfer target for a majority of PVCC students, to ensure that the transfercredit is accepted and students are prepared for success. Based on our experiences in the pilots,the syllabus became slightly modified to prepare students for study in other undergraduateprograms in systems engineering. Course goals, objectives, and content are described. Finally,we offer student reflections on their experiences and course utility as they prepare to

Conference Session

Engineering Economy Division Technical Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Neal A Lewis, University of Bridgeport; Ted Eschenbach, University of Alaska Anchorage

Tagged Divisions

Engineering Economy

to age 70, hersurvivor’s benefits will be the increased benefit reflecting his delay.Determine NPV for the alternative strategiesCase 3a. Determine the PV for her if she starts benefits at 62, if he starts benefits at 66, and hersurvivor benefit assuming he dies at age 82 and she dies at age 85.As determined in Case 1, the PV for her benefit, starting at age 62, is: At age 62, = −PV(3%,85-62,1528.20*12*0.75) = $226,162 Page 23.584.8His benefit, taken on his own earnings record, starting at age 66 is: At age 66, =PV(3%,82-66,1528.20*12)*PV(3%,4,0,1) = $204,663Her Survivor benefit, assuming that he dies at age 82 and she

Conference Session

Issues in Advising and Mentoring

Collection

2013 ASEE Annual Conference & Exposition

Authors

Gillian M. Nicholls, University of Alabama in Huntsville

Tagged Divisions

Educational Research and Methods

collecting dataabout actual students and model their educational outcomes within the larger system of theengineering program. Page 23.611.4The second goal is to share the results and methodology of creating these predictive models withengineering educators and university administrators for adaptation and adoption at otherinstitutions. The methodology will thus need to include reflections of which aspects are mostsensitive to differences in institutions or their academic policies. This goal will be met bysharing the results through scholarly publications and demonstrations at educational conferences.Ultimately, a tool adopted for university planning