Collection

2018 ASEE Mid-Atlantic Section Spring Conference

Authors

Yasser R Salem, University of the District of Columbia; Paul Cotae, University of the District of Columbia

Tagged Topics

Diversity

Paper ID #243652018 ASEE Mid-Atlantic Section Spring Conference: Washington, District ofColumbia Apr 6Analysis of the Low Rate of Denial of Service Attacks Detection by Using Sta-tistical Fisher MethodsMr. Yasser R Salem, University of the District of ColumbiaDr. Paul Cotae, University of the District of Columbia Dr. Paul Cotae,Professor of Electrical and Computer Engineering has more than 25 years of experience in the communication field (research and education). He received a Dipl. Ing. and a M.S. degrees in com- munication and electronic engineering in 1980 from the Technical University of Iassy and a Ph.D. degree in

Conference Session

Engineering Leadership Competency and Skill Development

Collection

2018 ASEE Annual Conference & Exposition

Authors

Dean H. Lang, Pennsylvania State University, University Park; Meg Handley, Pennsylvania State University, University Park; Andrew Michael Erdman, The Pennsylvania State University

Tagged Topics

Diversity

Tagged Divisions

Engineering Leadership Development

Paper ID #22439Flipped Classroom and Emotional Learning in an Engineering LeadershipDevelopment CourseDr. Dean H. Lang, Pennsylvania State University, University Park Dr. Lang is the Associate Director of the Engineering Leadership Research Program at Penn State Uni- versity. She holds a BS in Mechanical Engineering from West Virginia University, an MBA from Johns Hopkins University, and a PhD in Kinesiology with a focus on Biomechanics from Penn State University. Dr. Lang’s previous professional experiences and research interests range from mechanical engineering facilities design to research that applied engineering

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Alexandra Hain, University of Connecticut; Arash E. Zaghi, University of Connecticut; Christa L. Taylor

Tagged Topics

Diversity, NSF Grantees Poster Session

Soc Interface. 2006;3(8):399-413. doi:10.1098/rsif.2005.0102.17. Rentenbach B, Prislovsky L, Gabriel R. Valuing differences:: Neurodiversity in the classroom. Phi Delta Kappan. 2017;98(8):59-63. doi:10.1177/0031721717708297.18. Armstrong T. The Myth of the Normal Brain: Embracing Neurodiversity. AMA J Ethics. 2015;17(4):348-352. doi:10.1001/journalofethics.2015.17.4.msoc1-1504.19. Passow HJ, Passow CH. What Competencies Should Undergraduate Engineering Programs Emphasize? A Systematic Review. J Eng Educ. 2017;106(3):475-526. doi:10.1002/jee.20171.20. Cropley DH. Promoting creativity and innovation in engineering education. Psychol Aesthetics, Creat Arts. 2015;9(2):161-171. doi:10.1037/aca0000008.21. Sparks

Conference Session

Minorities in Engineering Division Technical Session 5

Collection

2018 ASEE Annual Conference & Exposition

Authors

Nina McDaniel, University of Michigan, Dearborn; DeLean Tolbert, University of Michigan, Dearborn

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering

educators with strategies to connectstudents’ real-world experiences to classroom content and structure [1]. As this research isadvanced, the implications of this work can help to strengthen our understanding of Blackyouths’ engineering learning ecosystems [1], which is partly influenced by their community,culture, educational policy, formal learning contexts, and informal learning experiences.AcknowledgementsWe would like to acknowledge the store managers and museum directors for their support of ourexploratory work.References[1] The Noyce Foundation (2015), The Power of Explanation: Reframing STEM and Informal Learning[2] Nelson, I., & Gastic, B. (2009). Street Ball, Swim Team and the Sour Cream Machine: A ClusterAnalysis of Out of School

Conference Session

Maker Communities and Authentic Problem Solving

Collection

2018 ASEE Annual Conference & Exposition

Authors

Adam R. Carberry, Arizona State University; Trevor Scott Harding, California Polytechnic State University, San Luis Obispo; Patrick J. Cunningham, Rose-Hulman Institute of Technology; Kristine R. Csavina, Colorado School of Mines; Michelle Choi Ausman, California Polytechnic State University, San Luis Obispo; Diana Lau, California Polytechnic State University, San Luis Obispo

Tagged Divisions

Educational Research and Methods

practice.AcknowledgementThis material is based on work supported by The Leona M. and Harry B. Helmsley CharitableTrust through funding of the Consortium to Promote Reflection in Engineering Education(CPREE), a collaboration of twelve educational institutions http://cpree.uw.edu.References[1] J. Dewey, How We Think. San Bernardino, CA: Renaissance Classics, 2012 (reprint of 1910 original).[2] J. A. Moon, Reflection in learning and professional development: Theory and practice. London, England: Routledge Falmer, 1999.[3] E. Rose, On reflection: An essay on technology, education, and the status of thought in the Twenty-first century. Toronto, Canada: Canadian Scholar’s Press Inc., 2013.[4] D. A. Schön, D. A., The reflective practitioner: How professionals

Conference Session

Multidisciplinary Design II

Collection

2018 ASEE Annual Conference & Exposition

Authors

Jason Forsyth, York College of Pennsylvania; Mark M. Budnik, Valparaiso University; Randi Shedlosky-Shoemaker, York College of Pennsylvania; Jeffrey Will, Valparaiso University

Tagged Topics

Diversity

Tagged Divisions

Multidisciplinary Engineering

contributing tocommunity as predictors (see Figure 1). Based on the results of that analysis, both predictorsappeared to reach marginal statistical significance, such that working on a non-service projects(​B​ = -0.19, ​t​ = -1.97, ​p​ = 0.05) and reporting a higher value for contributing to their community(​B​ = 0.22, ​t​ = 1.93, ​p​ = 0.06) predicted higher perceived value of students’ capstone project.Although the interaction of the two predictors failed to reach statistical significance (​B​ = 0.14, ​t= 1.22, ​p ​= 0.23), the trend suggested that for participants completing service-focused capstoneprojects, those who were less concerned about contributing to the community did not feel theircapstone project was valuable; however, this interaction

Conference Session

Mentoring Practices and Project Teams

Collection

2018 ASEE Annual Conference & Exposition

Authors

Shane Paul Lorona, Oregon State University; Susan Bobbitt Nolen, University of Washington; Milo Koretsky, Oregon State University

Tagged Divisions

Educational Research and Methods

.[3] M. D. Koretsky, “Program Level Curriculum Reform at Scale: Using Studios to Flip the Classroom,” Chemical Engineering Education, vol. 49, no. 1, pp. 47-57, 2015.[4] R. A. Lotan, “Group-worthy tasks,” Educational Leadership, vol. 60, no. 6, pp. 72-75, 2013.[5] B. Barron, and L. Darling-Hammond, “Teaching for meaningful learning: A review of research on inquiry-based and cooperative learning,” Powerful Learning: What We Know about Teaching for Understanding. pp. 11-70, 2008.[6] L. Deslauriers, E. Schelew, and C. Wieman, “Improved learning in a large-enrollment physics class,” Science, vol. 332, no. 6031, pp. 862-864, 2011.[7] D. R. Woods, Problem-based Learning: How to Gain the Most from PBL. Waterdown, Ontario: Donald R

Conference Session

Women in Engineering Division Technical Session 7

Collection

2018 ASEE Annual Conference & Exposition

Authors

Pamela L Dickrell, University of Florida

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

. c American Society for Engineering Education, 2018 Building Skills in Engineering: Hand & Power Tool Workshops for Confidence & RetentionAbstractThis work examines a pilot program open to all undergraduate students in the Herbert WertheimCollege of Engineering at the University of Florida on the use of common hand and power toolsthrough a series of 7 weekly hands-on workshops led by a female faculty member as an openopportunity to gain building skills.The goals of the program include:a) Creating a safe environment for engineering students to learn, build, fail & redesign, withoutpressure of grades or deliverables;b) Increasing individual student tool knowledge, basic making skills, and

Collection

2018 ASEE Conferences - Conference for Industry and Education Collaboration / San Antonio proceedings

Authors

Gretchen Mosher

earned in the sophomore-level course (TSM 210) is significantlypredictive in both models. Students who earn a “B” or better in TSM 210 have higherprobabilities of success. High success is also likely when students have an above average SoPrating (3 or greater), suggesting that students who are willing to dedicate their resources tolearning the introductory material at the sophomore level will see higher rates of success thanthose who do not. The freshmen-level course (TSM 115) does not seem to play a similar role inpredicting student success. When student SoP is not considered in the model, ACT compositeand mathematics scores become more important to the prediction.Another important measure is the accuracy of the models. Total model accuracy is

Conference Session

Investigating Instructional Strategies

Collection

2018 ASEE Annual Conference & Exposition

Authors

Reza Kamali, Utah Valley University; Afsaneh Minaie, Utah Valley University; Julie Clingo, Utah Valley University; Marty J Clayton, Digital Media; Cody Anderson

Tagged Divisions

Multidisciplinary Engineering

–5, Aug. 2017.10. S. Lee, Y. Kim, and B.-H. Lee, “Effect of Virtual Reality-based Bilateral Upper Extremity Training on Upper Extremity Function after Stroke: A Randomized Controlled Clinical Trial,” Occupational Therapy International, vol. 23, no. 4, pp. 357–368, 2016.11. M. Gandolfi, C. Geroin, E. Dimitrova, P. Boldrini, A. Waldner, S. Bonadiman, A. Picelli, S. Regazzo, E. Stirbu, D. Primon, C. Bosello, A. R. Gravina, L. Peron, M. Trevisan, A. C. Garcia, A. Menel, L. Bloccari, N. Valè, L. Saltuari, M. Tinazzi, and N. Smania, “Virtual Reality Telerehabilitation for Postural Instability in Parkinson's Disease: A Multicenter, Single-Blind, Randomized, Controlled Trial,” BioMed Research International, 26-Nov-2017. [Online

Collection

2018 ASEE Mid-Atlantic Section Spring Conference

Authors

Peng Li, East Carolina University

Tagged Topics

Diversity

. Ghalsasi. "Cloud computing—The business perspective." Decision support systems 51, no. 1 (2011): 176-189. 3 B. Rimal, E. Choi, and I. Lumb. "A taxonomy and survey of cloud computing systems." In INC, IMS and IDC, 2009. NCM'09. Fifth International Joint Conference on, pp. 44-51. IEEE, 2009. 4 P. Mell, and T. Grance. "The NIST definition of cloud computing." (2011). [Online]. Available: https://csrc.nist.gov/publications/detail/sp/800-145/final. [Accessed March 9, 2018] 5 L. Leong, R. Bala, C. Lowery and D. Smith. "Magic quadrant for cloud infrastructure as a service, Worldwide" Gartner (2014). [Online]. Available: https://www.gartner.com/doc/reprints?id=1- 2G2O5FC&ct

Conference Session

Biomedical Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

J. Christopher Bouwmeester, University of Toronto

Tagged Divisions

Biomedical Engineering

S, Phelps R, Eisenberg M. "A link between emergency dispatch and public access AEDs: Potential implications for early defibrillation". Resuscitation 2011;82:995–8.[20] Hess EP, White RD. "Increasing AED use by lay responders: Implementation challenges and opportunities for knowledge translation". Resuscitation 2011;82:967–8.[21] Budgen D, Kitchenham B, Brereton P. The Case for Knowledge Translation. 2013 ACM / IEEE Int. Symp. Empir. Softw. Eng. Meas., IEEE; 2013, p. 263–6.[22] Ruppertsberg AI, Ward V, Ridout A, Foy R. "The development and application of audit criteria for assessing knowledge exchange plans in health research grant applications". Implement Sci 2014;9:93.[23] Davenport Huyer L

Conference Session

Engineering Career Attitudes

Collection

2018 ASEE Annual Conference & Exposition

Authors

Araceli Martinez Ortiz, Texas State University; Hiroko Kawaguchi Warshauer, Texas State University; Sara Garcia Torres M.Ed., Texas State University; Laura Rodríguez Amaya

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

of Career Assessment. 2007; 15:403–422.Bandura, A. Self-efficacy: The exercise of control. New York: Freeman; 1997.Crabtree, B. & Miller, W. (1999). A template approach to text analysis: Developing and using codebooks. In Crabtree, B., Miller, W. (Eds.), Doing qualitative research (pp. 163–177.) Newbury Park, CADeci, E. L., & Ryan, R. M. (1985b). The General Causality Orientations Scale: Self-determination in personality. Journal of Research in Personality, 19, 109-134.Deci, E. L., & Ryan, R. M. (1987). The support of autonomy and the control of behavior. Journal of Personality and Social Psychology, 53, 1024-1037.Deci, E. L., & Ryan, R. M. (1991). A motivational approach to self: Integration in personality. In

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

/teaching-activities/flipping-the-classroom/, 2013.11. Anderson, H. G., Frazier, L., Anderson, S. L., Stanton, R., Gillette, C., Kim B.,Yingling, K. Comparison of Pharmaceutical Calculations Learning Outcomes AchievedWithin a Traditional Lecture or Flipped Classroom Andragogy. American Journal ofPharmaceutical Education; 81 (4), 2017.12. Koo, C. L., Demps, E. L., Farris, C., Bowman, J. D., Panahi, L., Boyle, P. Impact ofFlipped Classroom Design on Student Performance and Perceptions in a PharmacotherapyCourse. American Journal of Pharmaceutical Education; 80 (2), 2016.13. Moravec, M., Williams, A., Aguilar-Roca, N., and O’Dowd, D.K. Learn beforelecture; a strategy that improves learning outcomes in a large introductory biology

Conference Session

Fostering Business and Professional Skills in the Engineering Classroom

Collection

2018 ASEE Annual Conference & Exposition

Authors

Ashraf Badir P.E., Florida Gulf Coast University; Long Duy Nguyen P.E., Florida Gulf Coast University; Robert O'Neill P.E., Florida Gulf Coast University; Kristoph-Dietrich Kinzli, Colorado School of Mines; Simeon J. Komisar, Florida Gulf Coast University; Jong-Yeop Kim, Florida Gulf Coast University

Tagged Divisions

Civil Engineering

% (b) Working with engineering students can provide mentor’s organization with a new way of looking at and solving problems Figure 4. Benefits to practitioners and practitioners’ organizations Student perception Practitioner perceptionStrongly Disagree Disagree Neutral Agree Strongly Agree 0% 20% 40% 60% 80% (a) Bridging the gap between what is learned in the engineering curriculum and what is expected of graduates when they work in industry.Strongly Disagree Disagree Neutral Agree Strongly Agree 0

Conference Session

Engagement In Practice: Integrating Community Engagement into Engineering Curricula

Collection

2018 ASEE Annual Conference & Exposition

Authors

David C. Che, Mount Vernon Nazarene University

Tagged Divisions

Community Engagement Division

assistance and minimal Means for use consistently gets by guess work occasionally assistance and tool and incorrect results (2) applies the tool consistently does (1) inappropriately applies tool not try (3) appropriately (0) (4)Using a, b, c 1 3 4 3.37ANSYS todo

Conference Session

Computing & Information Technology: Curriculum and Assessment

Collection

2018 ASEE Annual Conference & Exposition

Authors

Masoud Naghedolfeizi, Fort Valley State University; Xiangyan Zeng, Fort Valley State University; Chunhua Dong, Fort Valley State University

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology

order to increase the retention rate by 20% (6.5% per project year) from the base of 50.4% [4], starting spring 2018. Performance Indicators: o By September of each project year, The retention rate is expected to increase by 6.5% o By April 2020, at least 50% of CS graduating students will have a grade of B or better in the programming subject of computer science exit exam conducted by ETS. 3. Integrate an undergraduate research program to involve at least 12-20 junior and senior computer science students during the last 2 years of project, starting fall 2018. Performance Indicators: o Involve at least 3-5 students per semester in

Conference Session

Engineering Ethics Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Roman Taraban, Texas Tech University; William M. Marcy PE, Texas Tech University; Lakshmojee Koduru, Texas Tech University

Tagged Divisions

Engineering Ethics

scales are normed to a mean of 50.In the present sample, students clearly excelled in analytic thinking (mean 83.59) and were quiteguarded and impersonal in their positions (mean 14.87). Their sense of confidence (mean 59.76)and emotionality (mean 42.90) were somewhat above and below the mean, respectively. Twosample submissions provide examples of contrasts in these variables, and provide informalevidence of the validity of the LIWC results. Student A excels in analytic thinking and isconfident, but distant and not self-disclosing (e.g., through the use of pronouns like “I”), andexpresses little affect regarding the issues. In contrast, Student B is lower on analytic thinking,but high on self-disclosure (readily using pronouns like “I” and “me

Conference Session

Computing & Information Technology: Curriculum and Assessment

Collection

2018 ASEE Annual Conference & Exposition

Authors

Michael Oudshoorn, Northwest Missouri State University; Rajendra K. Raj, Rochester Institute of Technology; Stan Thomas, Wake Forest University; Allen Parrish, United States Naval Academy

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology

Section 6.1.4 Accreditation Requirements for Computing ProgramsFor the most part, all four commissions of ABET follow a harmonized set of accreditation require-ments. These requirements differ in Student Outcomes (“describe what students are expected toknow and be able to do by the time of graduation”), Curriculum and Faculty criteria, as these tendto be most connected with the program’s discipline. The computing accreditation criteria are thuscomposed of eight categories divided into two parts: (a) general criteria, and (b) program-specificcriteria. The CAC program-specific criteria require that the general criteria be met, and provide upto three additional requirements for criterion 3 (student outcomes), criterion 5 (curriculum) and cri

Conference Session

Design Assessment

Collection

2018 ASEE Annual Conference & Exposition

Authors

Scott R. Bartholomew, Purdue Polytechnic Institute; Greg J. Strimel, Purdue Polytechnic Institute; Senay Purzer, Purdue University, West Lafayette (College of Engineering); Liwei Zhang, Purdue University, West Lafayette; Emily Yoshikawa, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education

://www.themanufacturinginstitute.org/%20~/media/827DBC76533942679A15EF706 7A704CD.ashxDym, C. L., Agogino, A. M., Eris, O., Frey, D. D., & Leifer, L. J. (2005). Engineering design thinking, teaching, and learning. Journal of Engineering Education, 94(1), 103-120.Flowers, J. (2010). The problem in technology education: A definite article. Journal of Technology Education, 21(2),10-20.Gattie, D. & Wicklein, R. (2007) Curricular Value and Instructional Needs for Infusing Engineering Design into K12 Technology Education. Journal of Technology Education, 19(1), 6-18.Goldman, S., Kabayadondo, Z., Royalty, A., Carroll, M. P., & Roth, B. (2014). Student teams in search of design thinking. Design Thinking Research.Grubbs, M., &

Conference Session

Biomedical Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Karen R. Thickman, University of Washington

Tagged Divisions

Biomedical Engineering

of Learners Classroom,” Cogn. Instr., vol. 20, no. 4, pp. 399–483, Dec. 2002.[3] S. Freeman et al., “Active learning increases student performance in science, engineering, and mathematics,” Proc. Natl. Acad. Sci., vol. 111, no. 23, pp. 8410–8415, 2014.[4] B. Means, Y. Toyama, R. Murphy, M. Bakia, and K. Jones, “Evaluation of Evidence-Based Practices in Online Learning,” Structure, p. 66, 2009.[5] S. W. T. Choe and P. M. Drennan, “Analyzing scientific literature using a jigsaw group activity,” J. Coll. Sci. Teach., vol. 30, no. 5, pp. 328–330, 2001.

Conference Session

Energy Conversion and Conservation Division Technical Session on Energy Efficiency and Power Grid Security

Collection

2018 ASEE Annual Conference & Exposition

Authors

Robert J. Kerestes, University of Pittsburgh; Zhihua Qu, University of Central Florida; Damla Turgut, University of Central Florida

Tagged Divisions

Energy Conversion and Conservation

Multiple choice questions (N = (response) (response) (response) 30 responses) % % % opportunities. How would you rate the balance of the content? 11 a. technical lecture content need more just right need less (4) 13.3% (19) 63.3% (7) 23.3% 11 b. technical need more just right need less tour content (9) 30% (20) 66.7% (1) 3.3% 11 c. project need more just right need less work (5) 16.7% (24) 80% (1) 3.3% 11 d. computer programming need

Conference Session

Mathematics Division Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Leszek Gawarecki, Kettering University; Yaomin Dong, Kettering University; Gina Rablau, Kettering

Tagged Divisions

Mathematics

plane.The distribution of grades in this section was as follows; Grade Frequency A 9 B 7 C 6 D 5 F/W 9The results are not indicative of any change in grades distribution in this course.The Likert-type scale results for question on engagement and enhanced learning are statisticallysignificantly positively correlated with the Spearman correlation coefficient 𝜌 = 0.688 (𝑝 −value < 0.005). 6 5 Enhanced Learning 4 3 Enhanced Learning 2

Collection

2018 FYEE Conference

Authors

Michael Wilson, University of Massachusetts, Amherst

://www.arj.no/2012/03/12/disciplinarities-2/Kaplan, Sandra, Gould, B. Frames: Differentiating the Core Curriculum. CA: Educator to Educator, 1998.Levi-Strauss, C., The Savage Mind: The University of Chicago Press, 1962. 1-33.Streveler, R., Smith, K., Pilotte, M. (2012). “Aligning Course Content,Assessment, and Delivery: Creating a Context for Outcome-Based Education”IGA Global: Outcome-Based STEM: Innovative Practices, chapter 1, (pp. 2-26).Stevens, Wallace, 1879-1955 author. Thirteen Ways of Looking at a Blackbird. Nacogdoches, Texas:Stephen F. Austin State University Press, 2013Svinicki, M.D., (2004). Learning and Motivation in the Postsecondary Classroom. San Francisco, CA:Anker Publishing Company.Vygotsky, L. (1978). Interaction between learning

Collection

2018 ASEE Conferences - Conference for Industry and Education Collaboration / San Antonio proceedings

Authors

Sidney Martin

a different innovative idea gaining public support. This cycle Proceedings of the 2018 Conference for Industry and Education Collaboration Copyright ©2018, American Society for Engineering Educationhappens because the innovation (a) requires more effort than was initially expected, (b) theinnovation supporters depart, (c) the personnel performing the ongoing maintenance of theinnovative idea lack formal maintenance training, or (d) funds run out. In an effort to overcomethis typical innovation lifecycle, P-20 leaders must carefully plan for the implementation ofinnovation. Especially if the innovation is a new concept and disruptive to the education process.When implementing changes to the P-20 education

Conference Session

Architectural Division Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Beth Huffman, Indiana University Purdue University, Indianapolis; Kathryn Elizabeth Roche

Tagged Topics

Diversity

Tagged Divisions

Architectural Engineering

a Model for theInterior Design Classroom: Bridging the Skills Divide Between Academia and Practice.Interdisciplinary Journal of Problem-Based Learning, 9(2).Hatcher, J. A. (2008). The public role of professionals: Developing and evaluating the Civic-Minded Professional scale. (Doctoral dissertation). Retrieved from Pro Quest Dissertation andTheses, AAT 3331248.Steinberg, K. S., Hatcher, J. A., & Bringle, B. G. (2008) Civic-Minded Graduate: A North Star.Michigan Journal of Community Service Learning, 18, 19-33.Sutton, Sharon. “Michigan Journal of Community Service Learning.” Michigan Journal ofCommunity Service Learning, Vol. 19, No. 1, Fall, 2012 - A Peer-Reviewed Publication | OnlineResearch Library: Questia, Oct. 2012, www.questia.com

Collection

2018 ASEE Mid-Atlantic Section Spring Conference

Authors

Christian Enmanuel Lopez, Pennsylvania State University, University Park; Conrad Tucker, Pennsylvania State University, University Park

Tagged Topics

Diversity

datacaptured while they read the instructions for atask. The (i) Data Acquisition & FeatureExtraction, (ii) Model Building & Tuning, and(iii) Model Evaluation steps of the proposedmethod are illustrated in Fig. 2. For this work,students’ performance is assumed to be afunction of their task completion timemeasured in seconds. Students are classifiedbased on this performance as (i) “below” Figure 2. Outline of proposed methodaverage or (ii) “above” average. That is, if astudent i takes longer than the average of all student that performed that same task t, student i isclassified as A)“above”; otherwise is classified as B)“below”; for i ϵ set of students {I} and t ϵset of tasks {T}.2.1

Conference Session

Cooperative and Project-based Global Learning

Collection

2018 ASEE Annual Conference & Exposition

Authors

David W. Gatchell Ph.D., Northwestern University; Akinniyi Adediran Osuntoki Ph.D., University of Lagos; Akinwale Oladotun Coker P.E., University of Ibadan; Matthew R. Glucksberg, Northwestern University; Tania Douglas, University of Cape Town; Kara M. Palamountain

Tagged Divisions

International

, Department of Biochemistry, College of Medicine-University of Lagos. Former Head, Department of Biomedical Engineering, College of Medicine, University of Lagos, Lagos, Nigeria.Prof. Akinwale Oladotun Coker P.E., University of Ibadan Akinwale Coker holds B. Sc and M. Sc degrees in Civil Engineering from the University of Ibadan and Obafemi Awolowo University respectively. His Ph. D in Environmental Engineering was obtained at the University of Ibadan. His trajectory in academia began as a lecturer in 1991, rising to Professorship in 2010. Professor Coker has successfully supervised about 100 students at B.Sc and M.Sc levels an ten Ph.Ds to date. He has 75 publicatiions in reputable international outlets, including three

Conference Session

Research Methods

Collection

2018 ASEE Annual Conference & Exposition

Authors

Catherine G.P. Berdanier, Pennsylvania State University, University Park; Natascha Trellinger Buswell, University of California, Irvine; Zixuan (Victoria) Zhao, Purdue University

Tagged Divisions

Educational Research and Methods

. Socialization and the acquisition of professional discourse: A case study in the PR industry. Writ. Commun. 29, 7–32 (2011).9. Austin, A. E. Preparing the Next Generation of Faculty: Graduate School as Socialization to the Academic Career. J. Higher Educ. 73, 94–122 (2002).10. Duff, P. A. Language socialization into academic discourse communities. Annu. Rev. Appl. Linguist. 30, 169–192 (2010).11. Lea, M. R. & Street, B. Writing as academic literacies: Understanding textual practices in higher education. in Writing: Texts, Processes, and Practices (eds. Candlin, C. N. & Hydlan, K.) 62–81 (Longman, 1999).12. Johnson, E. M. Toward the building of a cross-disciplinary doctoral research and writing culture. J

Conference Session

Graduate Recruitment and Retention

Collection

2018 ASEE Annual Conference & Exposition

Authors

Colby Weishaar, University of Arkansas; Manuel D. Rossetti, University of Arkansas; Kim LaScola Needy, University of Arkansas; Eric Specking, University of Arkansas; Trevor Joe Dodson, University of Arkansas

Tagged Topics

Diversity

Tagged Divisions

Graduate Studies

general identification and demographic questions as well as specific questions to assessthe success of the workshop. The survey was distributed at the beginning of the workshop andcollected prior to the participants leaving the session. Participants were asked the followingquestions: (1) Participant Information a. Student Name (optional) b. Student E-mail c. Gender d. Current Classification e. Ethnicity (optional) f. Major (2) Please indicate your level of awareness for each question: a. GRE (before workshop) b. GRE (after workshop) c. Graduate school as future option (3) Please indicate your perceived level of importance for each question