Conference Session

Minorities in Engineering Division Technical Session 5

Collection

2018 ASEE Annual Conference & Exposition

Authors

Sarah Hug, Colorado Evaluation & Research Consulting

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering

of peer support to achieve in higher education [2]. Co-curricular and informal learning opportunities can provide students access to expert thinking intheir disciplines, and can improve retention in the sciences [3]. S-STEM scholarship programswere designed to provide curricular, co-curricular, and financial support to students withfinancial need who are underrepresented in STEM fields. Results from S-STEM programindicate scholars experience greater retention and higher achievement than their peers, [4,5,6] yetlittle is known about how S-STEM scholarship programs shape students’ professional identitiesin their fields.The Cybersecurity National Science Foundation S-STEM scholarship project is a joint effortbetween two- year and four-year

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Rahman Tashakkori, Appalachian State University; Cindy Norris, Appalachian State University; Mary E. Searcy, Appalachian State University; Vicky Klima; James T. Wilkes, Appalachian State University

Tagged Topics

NSF Grantees Poster Session

Paper ID #22611High-Achievers Scholarship Program in Computer Science and MathematicsDr. Rahman Tashakkori, Appalachian State University Rahman Tashakkori received his PhD in Computer Science from Louisiana State University in 2001. He is currently serving as the Chair and Lowe’s Distinguished Professor of Computer Science at Appalachian State University. He has led several NSF projects that include CSEMS, S-STEM, STEP, and RET.Dr. Cindy Norris, Appalachian State University Dr. Cindy Norris is a Professor in the Department of Computer Science at Appalachian State University. She received her PhD in Computer Science from the

Conference Session

EDGD: Assessment & Student Learning

Collection

2018 ASEE Annual Conference & Exposition

Authors

Nathan Delson, University of California, San Diego; Lelli Van Den Einde, University of California, San Diego

Tagged Divisions

Engineering Design Graphics

,thentheydonothavetheopportunitytodemonstratepersistence.ResultsTheresultsareanalyzedbyseparatingtheclassintothreegroupsbasedupontheirpre-testscores,Low(<=70%),Mid(70%=90%).Forcomparison,theresultsoftheearliesttrialsinthegroupfrom2014areshowninTable1,andthelatesttrialinthegroupfromspring2017isshowninTable2. Table1.OverallPerformanceResultsforStudentsof AllTestGroupsinthe2014TrialinElectiveCourseMAE7. Pre Test Pre Test Pre Test Group: Low Group: Mid Group: High All Groups (n=13) (n=17) (n=22) (n=52) Avg. Pre-Test Score 53% s=9.8% 78% s=5.9% 93% s=4.4% 78% s=17.2% Avg. Post-Test Score 61% s=13.2% 87% s=7.9% 90% s=6.0% 82% s=15.0% Avg. Test

Conference Session

Student Advancement in Mechanics of Materials

Collection

2018 ASEE Annual Conference & Exposition

Authors

Xiaobin Le P.E., Wentworth Institute of Technology; Masoud Olia P.E., Wentworth Institute of Technology; Ali Moazed, Wentworth Institute of Technology

Tagged Divisions

Mechanics

engineering program is that students canconduct mechanical system designs including mechanical component design. To design beam-like components such as beams and shafts, we must analyze the loading conditions on thecomponents, that is, the Shear force and Bending moment diagrams (the S/B diagrams). So, theability to draw the S/B diagrams on beam-like components is an important skill for mechanicalengineering students. In our mechanical engineering program, the S/B diagrams of a beam wereintroduced during Engineering Statics by using the method of sections in the first semester oftheir sophomore year. In the second semester of their sophomore year in the course Mechanicsof Materials, the S/B diagrams were discussed again by using both the method of

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Allen Fort Gwinn Jr., Lipscomb University; Justin A. Myrick Sr., Lipscomb University

Tagged Topics

NSF Grantees Poster Session

at Lipscomb University in Nashville, TN. Prior to Lipscomb, Dr. Myrick was the Director of the Health Systems Research Center in the School of Industrial and Systems Engineering at the Georgia Institute of Technol- ogy. He also was a former faculty member at the University of Central Florida and a project engineer at Sikorsky Aircraft in Stratford, CT. c American Society for Engineering Education, 2018 Enhancing Engineering Talent in Tennessee NSF S-STEM Grant 1458735AbstractA summary of work in progress regarding the Enhancing Engineering Talent in Tennessee, NationalScience Foundation S-STEM Grant #1458735 sponsored by the Directorate for

Conference Session

Engineering Libraries Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Kelly Peterson-Fairchild, Dixie State University; John Burns, Dixie State University

Tagged Divisions

Engineering Libraries

support to continue to beembedded in specialized fields such as engineering, especially as the institutions expands andgrows programs.Conclusion(s)A new subject liaison can learn a good deal about collection development by reading seminalworks such as the book edited by Conkling and Messer. The article by Brin [8] is particularlyuseful for libraries such as DSU’s, given that it focuses on medium-sized libraries buildingcollections to support new programs. However, these often assume at least a basic level ofknowledge of the discipline on the part of the liaison and a generous level of funding. The DSUlibrary’s experience was different and may help others in similar circumstances. The library deanand subject liaison successfully worked with

Conference Session

Electrical and Computer Division Technical Session 4

Collection

2018 ASEE Annual Conference & Exposition

Authors

Zahrasadat Alavi, California State University, Chico; Arash Kialashaki, California State University, Chico

Tagged Divisions

Electrical and Computer

system is defined bythe following differential equation: 𝑎0 𝑦 (𝑛) + 𝑎1 𝑦 (𝑛−1) + ⋯ + 𝑎𝑛−1 𝑦̇ + 𝑎𝑛 y = 𝑏0 𝑥 (𝑚) + 𝑏1 𝑥 (𝑚−1) + ⋯ + 𝑏𝑚−1 𝑥̇ + 𝑏𝑚 𝑥Where 𝑛 ≥ 𝑚, and 𝑦 (𝑛) is the nth derivative of y, and 𝑥 (𝑚) is the mth derivative of x.The transfer function of this system is the ratio of the Laplace transform of the output 𝑌(𝑠) to theLaplace transform of the input 𝑋(𝑠) when all initial conditions are zero. 𝑌(𝑠) 𝑇𝑟𝑎𝑛𝑠𝑓𝑒𝑟 𝑓𝑢𝑛𝑐𝑡𝑖𝑜𝑛 = 𝐺(𝑠) = | 𝑋(𝑠) 𝑧𝑒𝑟𝑜 𝑖𝑛𝑖𝑡𝑖𝑎𝑙 𝑐𝑜𝑛𝑑𝑖𝑡𝑖𝑜𝑛 𝑏0 𝑠 𝑚 + 𝑏1 𝑠 𝑚−1 + ⋯ + 𝑏𝑚−1 s + 𝑏𝑚

Conference Session

Mechanical Engineering Division Technical Session 9

Collection

2018 ASEE Annual Conference & Exposition

Authors

Xiaobin Le P.E., Wentworth Institute of Technology; Richard L Roberts, Wentworth Institute of Technology; Anthony William Duva P.E., Wentworth Institute of Technology; Herb Connors

Tagged Divisions

Mechanical Engineering

fatigue theory is very important to be developed in mechanical engineeringstudents. 1The fatigue strength or test data should be described by the random variables, that is, statisticalapproach. However, for undergraduate program, fatigue test data are typically described bydeveloping Stress (S) vs. average Cycles (N) to failure (S-N) curves. These curves are thefunctions of stress amplitude, mean stress and the average number of cycles at failure. Thefatigue strength of a component is significantly affected by inherent component defects andloading conditions. As such, the material strength design limit is reduced thru the application ofmodification factors, often linked with component stresses thru

Conference Session

COED: EE Topics

Collection

2018 ASEE Annual Conference & Exposition

Authors

Afsaneh Minaie, Utah Valley University; Ephraim Nielson, Utah Valley University

Tagged Divisions

Computers in Education

system, will be based on a 2’s compliment numbering system where the concatenationof the sign bit and the 23 bits of the fraction, {S, F [22:0]}, make up a 2’s compliment numberwith a value between -110 and 0.9999998807907104492187510. Figure 2 – IEEE 754 protocol for single-precision floating point numbers [12].The exponent of the floating-point number, in contrast to IEEE’s exponent format, is also basedon 2’s compliment numbers and falls between a range of -128 and 127. Thus, the range of numbersallowed to be represented using this floating-point numbering system is -1.701412 x 103810 to1.701412 x 103810 with a resolution of 3.50325 x 10-4610. This give a level of accuracy that is veryprecise compared to fixed-point numbers

Conference Session

Electrical and Computer Division Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

John M. Santiago Jr., Colorado Technical University; Jing Guo, Colorado Technical University

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer

Conference Session

College-Industry Partnerships Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

David Dylan John, Georgia Southern University; Yunfeng Chen, Georgia Southern University; Shahnam Navaee, Georgia Southern University; Weinan Gao, Georgia Southern University

Tagged Divisions

College Industry Partnerships

range of industrial experience for these individuals was 2–43 years. Seventy five percent of (or six of the eight) participants indicated that they had atleast 15 years of relevant STEM industry experience. The gender distribution of industryprofessionals who participated in the interviews were 5 males and 3 females. The 15student participants included a spread of both underclassmen and upperclassmen. Theage range of student participants in the qualitative interviews was 18–24 years and thegender distribution of these students was 8 males and 7 females. The skills identified duringthe qualitative interviews weregrouped into a list of STEM Skill Indicators that were linked with the following classified STEMSkill Factors: Soft skills (S

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Elizabeth Cady, National Academy of Engineering; Proctor Page Reid, National Academy of Engineering

Tagged Topics

NSF Grantees Poster Session

well as information for stakeholders to use inefforts to recruit and retain individuals traditionally underrepresented in engineering. The reportalso discusses the future of engineering education in light of these findings.This award was co-funded by the Division of Undergraduate Education in the Directorate forEducation and Human Resources and by the Division of Engineering Education and Centers inthe Directorate for Engineering. References[1] R. W. Lent, S. D. Brown, J. Schmidt, B. Brenner, H. Lyons, and D. Treistman. “Relation of contextual supports and barriers to choice behavior in engineering majors: Test of alternative social cognitive models,” Journal of Counseling Psychology, 50

Conference Session

Course Tools and Practices

Collection

2018 ASEE Annual Conference & Exposition

Authors

Jennifer Snyder, Valencia College; Elizabeth A. Cudney, Missouri University of Science & Technology

Tagged Topics

Diversity

Tagged Divisions

Engineering Management

, which was verified with this data. Stage 3: In this stage, the orthogonal arrays (OA) and signal-to-noise (S/N) ratios are calculated and used to determine the most useful set of predictive variables. Larger S/N ratios are preferred and indicate a possible useful predictive variable. 3 Stage 4: The variables that were identified as significant due to a positive S/N are used to develop a forecasting model. Table 1. Descriptive Statistics of Raw Data Completers Range Factor N Mean Median

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Ahsan Mian, Wright State University; Margaret Pinnell, University of Dayton; M. Suzanne Franco, Wright State University; Leanne Petry, Central State University; Brett Doudican, University of Dayton; Raghavan Srinivasan, Wright State University

Tagged Topics

NSF Grantees Poster Session

(Institute of Transportation Engineers), v 83, n 7, p 22-26, July 2013.3. Gibson, I., Rosen, D., and Stucker, B. (2015). Additive Manufacturing – 3D Printing, Rapid Prototyping, and Direct Digital Manufacturing. 2nd Edition, Springer, 2015.4. 3D Printers. (n.d.). Retrieved January 31, 2018, from http://www.stratasys.com/3d- printers.5. Panda, S. K. (2009). Optimization of Fused Deposition Modelling (FDM) Process Parameters Using Bacterial Foraging Technique. IIM Intelligent Information Management, 01(02), 89-97. Retrieved March 18, 2016.6. Gao, W., Zhang, Y., Ramanujan, D., Ramani, K., Chen, Y., Williams, C. B., Zavattieri, P. D. (2015). The status, challenges, and future of additive manufacturing in

Conference Session

Entrepreneurship & Engineering Innovation Division Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Kathryn A. Neeley, University of Virginia; Bernd Steffensen, University of Applied Sciences Darmstadt

Tagged Divisions

Entrepreneurship & Engineering Innovation

“Department for Math, Natural Sciences and DataProcessing.” Deleted: s Deleted: ereThe UASDarmstadt began as an upgrade of an engineering school. In 1976 the Christian Deleted: have bothDemocrats asked the Social Democrat government several questions about the role of the social Deleted: is founded withand cultural sciences in the engineering curricula of the UAS in Hesse. These questions got

Conference Session

Teaching Methods for Engineering Mechanics Courses

Collection

2018 ASEE Annual Conference & Exposition

Authors

Carrie A. Francis, University of Northwestern, St. Paul

Tagged Divisions

Mechanics

response to themed exams, a short surveywas developed. The survey questions (Appendix A) generally focused on overall like/dislike ofthe exams along with some of the advantages and pitfalls. Of 71 surveys sent out, 52 werecompleted (73% response). Students were asked whether they liked exams with a theme/story ona 100-point slider where 0 was “Not at all,”50 was “Ambivalent,” and 100 was “VeryMuch.” With 50 responses, students ratedstory exams at 78 ± 21. Exams with astoryline have also held students’ attentionwith 46% reporting that they had toldsomeone outside of engineering about takinga themed exam.Nineteen students rated exams with a storyat 90 or above (eleven 100’s), indicating astrong positive response. The top threereasons students cited

Conference Session

The BEST InDEED

Collection

2018 ASEE Annual Conference & Exposition

Authors

Jin Woo Lee, University of Michigan; Shanna R. Daly, University of Michigan; Varghese Ittoop Vadakumcherry, University of Michigan

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education

. Brophy, “Comparing the Attributes, Activities, and Performance of Divergent, Convergent, and Combination Thinkers,” Creat. Res. J., vol. 13, no. 3–4, pp. 439–455, Oct. 2001.[4] C. Nigel, “Design cognition: Results from protocol and other empirical studies of design activity,” Des. Knowing Learn. Cogn. Des. Educ., vol. 7, pp. 9–103, 2001.[5] S. Zenios et al., Biodesign: The Process of Innovating Medical Technologies, 1 edition. Cambridge, UK: Cambridge University Press, 2009.[6] P. Rowe, Design thinking. Cambridge, MA: The MIT Press, 1987.[7] D. G. Jansson and S. M. Smith, “Design fixation,” Des. Stud., vol. 12, no. 1, pp. 3–11, 1991.[8] S. Isaksen and J. Gaulin, “A Reexamination of Brainstorming Research: Implications

Conference Session

Connecting BME education to the "real world"

Collection

2018 ASEE Annual Conference & Exposition

Authors

Julia N. Savoy, University of Wisconsin-Madison; Mia K. Markey, The University of Texas at Austin; Henry Grady Rylander III P.E., The University of Texas at Austin

Tagged Divisions

Biomedical Engineering

, Oct. 1994.[5] H. H. Garrison and S. A. Gerbi, "Education and employment patters of US Ph.D.'s in the biomedical sciences," The FASEB Journal, vol. 12, no. 2, pp. 139-148, Feb. 1998.[6] G. M. Pion, The early career progress of NRSA predoctoral trainees and fellows. Bethesda, MD: US Department of Health and Human Services, National Institutes of Health, 2001.[7] G. Pion and I.-P. Martin, "Bridging postdoctoral training and a faculty position: Initial outcomes of the Burroughs Wellcome Fund Career Awards in the biomedical sciences," Academic Medicine, vol. 78, no. 2, pp. 177-186, Feb. 2003.[8] R. St Clair, T. Hutto, C. MacBeth, W. Newstetter, N. A. McCarty, and J. Melkers, "The "new normal

Conference Session

Research Methods

Collection

2018 ASEE Annual Conference & Exposition

Authors

Corey T. Schimpf, The Concord Consortium; Molly H. Goldstein, Purdue University, West Lafayette (College of Engineering); Robin Adams, Purdue University, West Lafayette (College of Engineering); Jie Chao, The Concord Consortium; Senay Purzer, Purdue University, West Lafayette (College of Engineering); Charles Xie, The Concord Consortium

Tagged Divisions

Educational Research and Methods

) Robin S. Adams is an Associate Professor in the School of Engineering Education at Purdue University and holds a PhD in Education, an MS in Materials Science and Engineering, and a BS in Mechanical Engineering. She researches cross-disciplinarity ways of thinking, acting and being; design learning; and engineering education transformation.Dr. Jie Chao, The Concord Consortium Jie Chao is a learning scientist with extensive research experience in technology-enhanced learning en- vironments and STEM education. She completed her doctoral and postdoctoral training in Instructional Technology and STEM Education at the University of Virginia. Her past research experiences ranged from fine-grained qualitative mental process

Conference Session

Career Decisions and Faculty Development

Collection

2018 ASEE Annual Conference & Exposition

Authors

Rohini N. Abhyankar, Arizona State University; Cheryl Carrico P.E., Virginia Tech; Holly M. Matusovich, Virginia Tech; Samantha Ruth Brunhaver, Arizona State University

Tagged Divisions

Educational Research and Methods

influencing their post-graduation career plans? RQ2. What areas of thinking related to junior and senior engineering students’ career plans are influenced by socializers? RQ3. What areas of thinking related to junior and senior engineering students’ career plans are influenced by specific socializers?To answer these questions, we examined interviews with 62 engineering juniors and seniors fromsix different universities in the U.S. To frame our study, we used Eccles et al.'s Expectancy xValue Theory of Achievement Motivation as this framework provides concrete examples ofways that socializers influence student outcomes.5-7Background Literature and Theoretical FrameworksAlthough research shows that socializers

Conference Session

Problem Solving, Adaptive Expertise, and Social Engagement

Collection

2018 ASEE Annual Conference & Exposition

Authors

Oenardi Lawanto, Utah State University; Angela Minichiello P.E., Utah State University; Jacek Uziak, University of Botswana; Andreas Febrian, Utah State University

Tagged Divisions

Educational Research and Methods

students’ knowledge about the task-related discipline(s) [24], [25]. In thisstudy, we only focus on the implicit and explicit aspect of task interpretation. This study views task interpretation as an integral part of self-regulation. Self-regulatedlearning (SRL) is a complex, iterative, and situated goal-directed learning process [5], [8], [26].SRL is comprised by the student, learning environment, and learner’s engagement with theenvironment and is affected by student’s emotion and motivation [7], [9], [26]. Student’sengagement starts with task interpretation. Task interpretation is followed by (a) developing aplan based on the task understanding, (b) enacting the plan, (c) monitoring the progress andapproach, and (d) making any

Conference Session

Active Learning Methods in Action

Collection

2018 ASEE Annual Conference & Exposition

Authors

John Ray Morelock, Virginia Tech; Holly M. Matusovich, Virginia Tech

Tagged Divisions

Educational Research and Methods

about performance, and then code, gave students visual and textual practice more. The goal is to feedback about the code’s results, and improve performance in particular allowed students to retry or move to a concepts/skills over time. harder level (Chaffin et al., 2009). Gamified academic Students perform common A board game where students answered activity classroom learning task(s) with multiple-choice questions about the task-irrelevant game mechanics learning content to correctly to move (e.g., points, rewards, moving around the

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Matthew W. Ohland, Purdue University, West Lafayette (College of Engineering); Susan M. Lord, University of San Diego; Marisa K. Orr, Clemson University; Russell Andrew Long; Richard A. Layton, Rose-Hulman Institute of Technology; Catherine E. Brawner, Research Triangle Educational Consultants; Nichole Ramirez, Purdue University

Tagged Topics

NSF Grantees Poster Session

teamwork models, statewide pre-college math initiatives, teacher and faculty professional development programs, and S-STEM pro- grams.Nichole Ramirez, Purdue University Nichole Ramirez is a postdoctoral researcher in the School of Engineering Education at Purdue Univer- sity. She received her Ph.D. in Engineering Education and M.S. in Aviation and Aerospace Management from Purdue University and her B.S. in Aerospace Engineering from The University of Alabama. She is currently the Associate Director of Policy Analysis for the Multi-Institution Database for Investigating Engineering Longitudinal Development (MIDFIELD). c American Society for Engineering Education, 2018 Expanding

Conference Session

Engineering Design Graphics Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Lukas W. DiBeneditto, Purdue University, New Albany; Rustin Webster, Purdue University, New Albany

Tagged Divisions

Engineering Design Graphics

comparemultiple student files to an instructor's grading key. CADcompare augments the grading processof technical and engineering CAD drawings by highlighting differences that can be easily missedby a human grader, such as incorrect line type(s), color(s), or double lines (i.e., lines on top of eachother). Some CAD software has built-in comparison tools, however, none of the comparison toolsaccept PDF files to compare, are web-based applications, or can compare multiple student files atonce like CADcompare can. Grading engineering CAD drawings with accuracy and fairness cantake a lot of time, the intended use of CADcompare is to act as a grading tool to help instructorsgrade faster, more accurately, and without unintended bias. Spring 2017, a Windows

Conference Session

College-Industry Partnerships Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Raymond Edward Floyd, Northwest College

Tagged Divisions

College Industry Partnerships

Paper ID #22103Industry and Academia: Together Spells SuccessDr. Raymond Edward Floyd, Northwest College c American Society for Engineering Education, 2018 Industry and Academia: Together Spells Success R. E. Floyd, Life Senior IEEEAbstract – Whether one looks at engineering or engineering technology curriculums, there is nooutstanding indication of the importance of the role Industry can play in the successfulcompletion of a student‟s preparation for the future. Whether looking at accredited or non-accredited programs, the importance of Industry‟s partnering with Academia cannot

Conference Session

Aerospace Division Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Paul F. Penko P.E., Baldwin Wallace University

Tagged Topics

Diversity

Tagged Divisions

Aerospace

kg ρ(air density) 1.2 kg/m3 Coefficient of Drag CD 0.5Mass of Propellant 0.0625 kg dm/dt 0.03676 kg/s Trust T (constant) 80.35 N 2 Agravity 9.8 m/s t(burn) 1.7 s Mass ratio 0.85 2 θ 0 Frontal area A 0.0034211 m Total Impulse 136.6 N-s Time step analysis Vi+1= Vi+[Ti-Di-Migcosθi](Δt/Mi

Conference Session

Programs and Pedagogies

Collection

2018 ASEE Annual Conference & Exposition

Authors

Piyush Taneja; Elnaz Safapour, University of Texas at Arlington; Sharareh Kermanshachi, University of Texas at Arlington

Tagged Divisions

Engineering Management

teachers.References1. Kermanshachi, S. and Safapour, E. (2017), “Assessing Students' Higher EducationPerformance in Minority and Non-Minority Serving Universities,” Proceedings of Frontiersin Education (FIE), IEEE, Indianapolis, Indiana, October 3-6, 2017.2. Jahan Nipa, T., and Kermanshachi, S. (2018), “Analysis and Assessment of GraduateStudents’ Perception and Academic Performance Using Open Educational Resource (OER)Course Materials”, Proceedings of ASEE Annual Conference and Exposition, Salt Lake City,UT, June 24-27, 2018.3. McCarthy, J. P. and Anderson, L. Active Learning Techniques Versus traditionalteaching styles: Two experiments from history and Political Science. Innovative highereducation, 24 (4), 2000.4. Kermanshachi, S

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Andrea M. Ogilvie P.E., Texas A&M University; David B. Knight, Virginia Tech; Maura J. Borrego, University of Texas, Austin; Arturo A. Fuentes, University of Texas, Rio Grande Valley

Tagged Topics

Diversity, NSF Grantees Poster Session

to my 2.81 1.38transfer.I spoke to former transfer students to gain insight about their adjustment experiences. 2.63 1.38Scale: 1-Strongly disagree, 2-Disagree, 3-Neither agree nor disagree, 4-Agree, 5-Strongly agree; Meansare of weighted data. 1 Participants in co-enrollment program(s) were exempt from this survey item.Table 2. Perceptions about the "transfer process" while students were enrolled at [SI] Construct Sub-items Mean Std. Error (N = 1024)1 of Mean

Conference Session

Electrical and Computer Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Christopher Robbiano, Colorado State University; Anthony A. Maciejewski, Colorado State University; Edwin K. P. Chong Ph.D., Colorado State University

Tagged Divisions

Electrical and Computer

. Figure 1: Distribution of Grades per ClassThe dataset includes cumulative GPA per semester that is recorded in a 0.00 to 4.00 range, whileindividual course grades were recorded in a +/- letter grade range from A+ to F. The coursegrades also include I for incomplete, S for satisfactory and W for withdraw. All +/- letter gradeswere converted to a range between 0.00 and 4.00 based on Table 2.In addition to the course grades and cumulative GPA per semester, the dataset containsinformation such as the location of origin, ethnicity and gender, and previous educationalperformance if it existed. —- has a “repeat-delete” policy that allows students to retake a courseand replace the previous grade with the grade from the latest offering of the course

Conference Session

Evidence-based Practices in Faculty Development

Collection

2018 ASEE Annual Conference & Exposition

Authors

Katie Cadwell, Syracuse University; Michelle M. Blum, Syracuse University; Julie M. Hasenwinkel, Syracuse University; Carol Elizabeth Stokes-Cawley, Syracuse University

Tagged Topics

Faculty Development Constituency Committee

) Revisions Introduction to Engineering Course Teaching EnvE (F), U (F) Active Learning Fall 20172 & Computer Science Revisions Chemical Engineering Course Pre-Tenure ChE (S) Active Learning Fall 2017 Thermodynamics II Component AE (J), BE (S), Electrical Engineering