Conference Session

Assessment of Student Learning – New Engineering Educators Division

Collection

2018 ASEE Annual Conference & Exposition

Authors

Sara A. Atwood, Elizabethtown College; Arjun Singh, Gradescope

Tagged Divisions

New Engineering Educators

sword," Current directions in psychological science, vol. 7, pp. 67-72, 1998.[3] R. Moreno, "Decreasing cognitive load for novice students: Effects of explanatory versus corrective feedback in discovery-based multimedia," Instructional science, vol. 32, pp. 99-113, 2004.[4] E. A. Locke and G. P. Latham, "Work motivation and satisfaction: Light at the end of the tunnel," Psychological science, vol. 1, pp. 240-246, 1990.[5] S. H. Song and J. M. Keller, "Effectiveness of motivationally adaptive computer-assisted instruction on the dynamic aspects of motivation," Educational technology research and development, vol. 49, pp. 5-22, 2001.[6] S. J. Ashford, R. Blatt, and D. V. Walle, "Reflections on the

Conference Session

Mechanical Engineering Division Technical Session 3

Collection

2018 ASEE Annual Conference & Exposition

Authors

Kathryn R. Gosselin, San Jose State University; Nicole Okamoto, San Jose State University

Tagged Divisions

Mechanical Engineering

Training in Optics and Photonics, 2009.[8] J. D. Wheadon and N. Duval-Couetil, “Analyzing the expected learning outcomes of entrepreneurship business plan development activities using Bloom’s taxonomy,” in Proceedings of the ASEE 2013 Conference, 2013.[9] R. L. Pimmel, “Student learning of criterion 3 (a)-(k) outcomes with short instructional modules and the relationship to Bloom’s taxonomy,” J. Eng. Educ., vol. 92, no. 4, pp. 351–359, 2003.[10] W. Hussain, M. F. Addas, and F. Mak, “Quality improvement with automated engineering program evaluations using performance indicators based on Bloom’s 3 domains,” in 2016 IEEE Frontiers in Education Conference (FIE), 2016, pp. 1–9.[11] S. M. Brookhart and

Conference Session

PCEE Evaluation Studies

Collection

2018 ASEE Annual Conference & Exposition

Authors

Vanessa LeBow, University of Arkansas; Michelle L. Bernhardt-Barry, University of Arkansas; Jyotishka Datta, University of Arkansas

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

Arkansas. She received her Ph.D, M.S., and B.S. in civil engineering from Texas A&M University. Her research interests include geotechnical engineering, and the use of 3d printed models to aid learning in K-12 and college classrooms.Dr. Jyotishka Datta, University of Arkansas Jyotishka Datta is an Assistant Professor of Statistics at the University of Arkansas at Fayetteville since August 2016. He was an NSF postdoctoral fellow at Duke University and Statistical and Applied Math- ematical Sciences Institute (SAMSI) working with Dr. David B. Dunson (Statistical Science) and Dr. Sandeep S. Dave (School of Medicine). He received my Ph.D. in Statistics from Purdue University in 2014 under the guidance of Prof

Conference Session

IED Technical Session: Preparing Programs for the Future

Collection

2018 ASEE Annual Conference & Exposition

Authors

Anuj Mittal, Iowa State University; Sriram Sundararajan, Iowa State University; D. Raj Raman, Iowa State University; Caroline C. Krejci, University of Texas at Arlington

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering

] Darwish, H., & Van Dyk, L. (2016). The Industrial Engineering Identity: From Historic Skills to Modern Values, Duties, and Roles. South African Journal of Industrial Engineering, 27(3), 50-63. [2] Ozis, F., Pektas, A. O., Akca, M., & DeVoss, D. A. (2017). How to Shape Attitudes Towards STEM Careers: The Search for the Most Impactful Extracurricular Clubs (RTP). Proceedings of the American Society of Engineering Education Annual Conference, Columbus, OH. [3] Brophy, S., Klein, S., Portsmore, M., & Rogers, C. (2008). Advancing Engineering Education in P‐12 Classrooms. Journal of Engineering Education, 97(3), 369-387. [4] Carr, R. L., Bennett, L. D., & Strobel, J. (2012). Engineering in the K

Conference Session

Mechanical Engineering Division Technical Session 4

Collection

2018 ASEE Annual Conference & Exposition

Authors

Brett Batson, Trine University

Tagged Divisions

Mechanical Engineering

student t-test does not indicate the reason(s) the alternativehypothesis must be accepted. It must be admitted, there could have been other factors involvedthan the present study reveals.Individual SuccessesMcGuire [1] reported several individual success stories. These stories highlight students whohad not learned how to study and learn until metacognition was introduced to them. Then, whenthese students understood how to succeed, they did so, sometimes spectacularly. Similar storieswere searched for in the present study.Criteria for defining success is subjective. For this section, a “success story” was defined as astudent earning a failing score on the first exam (before the lectures on metacognition) butearning a satisfactory (C or better

Conference Session

Electrical and Computer Division Technical Session 7

Collection

2018 ASEE Annual Conference & Exposition

Authors

Joshua Alexéi García Sheridan, Virginia Tech; Richard M. Goff, Virginia Tech; Seungmo Kim, Georgia Southern University; Vuk Marojevic, Virginia Tech; Carl B. Dietrich, Virginia Tech

Tagged Divisions

Electrical and Computer

processing algorithmsand SDR waveforms required to perform Cognitive Radio (CR) experiments in real time. Inaddition to the 24 racks connected to USRP2’s, the testbed employs four racks dedicated tonetwork management and administration. An image server provides automated re-imagingcapabilities, a firewall, and a LDAP server provides security/authentication. A dedicated NFSserver is employed at the user plane in order to provide researchers a private directory to storescripts, programs, and test results. Many of the experiments and demos that have been producedthus far have exploited the remote capabilities of this COgnitive Radio NETwork (CORNET) [3]testbed, by employing custom web interfaces, and many of the administrative tasks can now beperformed

Conference Session

Materials Division Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Spencer Seung-hyun Kim, Rochester Institute of Technology (CAST)

Tagged Divisions

Materials

m-POGIL-based laboratory is tomove away from the more “cookbook” structured lab, where students are typically told stepwisewhat to do in order to collect certain data and to conclude the experimental work. Then, studentsperform the lab experiment within the groups by desirable criteria for the m-POGIL lab-activity.The key desirable criteria for the m-POGIL lab activity are: 1. Making agreements, roles, and responsibilities, as a team-contract, for the teamwork. 2. Requiring generating experimental goal(s) and producing the outcomes. 3. Promoting active decision-making within the group. 4. Evaluating the individual and group performance. 5. Encouraging students to develop questions/or problems for further

Conference Session

MET and Mechatronics

Collection

2018 ASEE Annual Conference & Exposition

Authors

John R. Haughery, Iowa State University

Tagged Divisions

Engineering Technology

,” Journal of Engineering Education, vol. 104, no. 1, pp. 74–100, 2015.[2] G. R. Pike and T. S. Killian, “Reported gains in student learning: Do academic disciplines make a difference?,” Research in Higher Education, vol. 42, no. 4, pp. 429–454, 2001.[3] P. R. Pintrich, D. A. F. Smith, T. Garcia, and W. J. McKeachie, “Reliability and Predictive Validity of the Motivated Strategies for Learning Questionnaire (MSLQ),” Educational and Psychological Measurement, vol. 53, no. 3, pp. 801–813, Sep. 1993.[4] T. T. York, C. Gibson, and S. Rankin, “Defining and measuring academic success,” Practical Assessment, Research & Evaluation, vol. 20, no. 5, p. 2, 2015.[5] P. R. Pintrich, R. W. Marx, and R. A. Boyle, “Beyond Cold Conceptual Change

Conference Session

Active Learning Methods in Action

Collection

2018 ASEE Annual Conference & Exposition

Authors

Megan Sanders, Colorado School of Mines; Sam Spiegel, Colorado School of Mines; Jennifer Zoltners Sherer, University of Pittsburgh

Tagged Divisions

Educational Research and Methods

. For this reason, we argue that theELCOT can serve an important role in helping the field of Engineering Education take “a morenuanced approach to active learning” (Streveler & Menekse, 2017, p. 189). ReferencesFreeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410-8415.Prince, M. (2004). Does active learning work? A review of the research. Journal of Engineering Education, 93(3), 223-231.Resnick, L. B. (1999, June 16). Making America smarter. Education Week Century

Conference Session

Design and the Capstone Experience

Collection

2018 ASEE Annual Conference & Exposition

Authors

Gregory K Watkins P.E., California State University, Chico

Tagged Divisions

Design in Engineering Education

improve the model, plans are in process to provide additional instructionand support specifically for PMs as a separate cohort. Additional evening class meetings areplanned just for the student PMs. Local alumni, whose primary job is project management, arebeing sought to serve as resources and mentors, and offer first-hand examples of effectivemanagement tools and techniques. A follow-up survey is planned after the changes have beenfully implemented.References1. Watkins, G., “Best Practices for Faculty Mentorship of Capstone Design Projects, Proceedings of the 2011 ASEE Annual Conference, Vancouver, British Columbia2. Howe, S., Poulos, S., & Rosenbauer, L., The 2015 Capstone Design Survey: Observations from the Front Lines, Proceedings

Conference Session

Engineering Physics and Physics Division Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Kosta Popovic, Rose-Hulman Institute of Technology; Janie Szabo, Rose-Hulman Institute of Technology

Tagged Divisions

Engineering Physics and Physics

III and M. A. McDaniel, Make It Stick, Cambridge, Massachusetts: The Belknap Press of Harvard University Press, 2014.[7] B. S. Bloom, Taxonomy of Educational Objectives, Handbook 1: Cognitive Domain, New York: Addison-Wesley Longman Ltd, 1956.[8] M. Hill, M. Sharma and H. Johnston, "How online learning modules can improve the representational fluency and conceptual understanding of university physics students," European Journal of Physics, vol. 36, no. 4, p. 045019, 2015.[9] J. C. Moore, "Efficacy of Multimedia Learning Modules as Preparation for Lecture-Based Tutorials in Electromagnetism," Education Sciences, vol. 8, no. 1, p. 23, 2018.[10] D. S. Goodman, F. J. Rueckert and J. O'Brien, "Initial Steps Toward a study on the

Conference Session

Electrical and Computer Division Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Renee M. Clark, University of Pittsburgh; Samuel J. Dickerson, University of Pittsburgh

Tagged Divisions

Electrical and Computer

), 275-294.Ambrose, S. (2013). Undergraduate engineering curriculum: The ultimate design challenge. TheBridge, 43(2), 16-23.Benson, D. & Zhu, H. (2015). Student Reflection, Self-Assessment, and Categorization ofErrors on Exam Questions as a Tool to Guide Self-Repair and Profile Student Strengths andWeaknesses in a Course. Proceedings of American Society of Engineering Education AnnualConference, Seattle, WA.Claussen, S. & Dave, V. (2017). Reflection and Metacognition in an Introductory CircuitsCourse. Proceedings of American Society of Engineering Education Annual Conference,Columbus, OH.Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hilsdale, NJ:Lawrence Earlbaum Associates.Dickerson, S., & Clark, R. (2018

Conference Session

Engineering Ethics Division Technical Session 4

Collection

2018 ASEE Annual Conference & Exposition

Authors

Elisa Warford, University of Southern California

Tagged Topics

Diversity

Tagged Divisions

Engineering Ethics

. Pantazidou and I. Nair, “Ethic of Care: Guiding Principles for Engineering Teaching & Practice,” Journal of Engineering Education, vol. , pp. 205-212, Apr. 1999[4] L. S. Shulman, L. S., Foreword, in Educating Engineers: Designing for the Future of the Field, S. D. Sheppard, K. Macatangay, A. Colby, & W. M. Sullivan, Eds. San Francisco, CA: Jossey-Bass, 2009.[5] J. Tronto, Moral Boundaries: A Political Argument for an Ethic of Care. New York: Routledge, 1993.[6] L. Kohlberg, "Moral stages and moralization: The cognitive-developmental approach,” in Moral Development and Behavior: Theory, Research and Social Issues. T. Lickona, ed. New York: Holt, Rinehart and Winston, 1976.[7] N. Haan, et al., “Family

Conference Session

Manufacturing Curriculum and Course Innovations

Collection

2018 ASEE Annual Conference & Exposition

Authors

Chittaranjan Sahay P.E., University of Hartford; Suhash Ghosh, University of Hartford

Tagged Divisions

Manufacturing

the angularorientation of residual machining marks, and much more [12]. In the past decade, significantefforts have been directed towards developing standard worldwide 3D parameters, the result ofwhich is a set of standard “S Parameters” in four general categories: amplitude, spatial, hybridand functional. Similar to 2D Parameters discussed earlier in this paper, the 3D parameterscommonly used now are,Amplitude ParametersBased on overall heights, (1) Root Mean Square Deviation, Sq- RMS of height distribution (2) Skewness, Ssk- the degree of asymmetry of a surface height distribution (3) Kurtosis, Sku – the degree of peakedness of a surface height distribution (4) Average Height, Sz – average of ten highest and lowest points.Spatial

Conference Session

Mechanical Engineering Division Technical Session 9

Collection

2018 ASEE Annual Conference & Exposition

Authors

Hadas Ritz, Cornell University; Meredith N. Silberstein, Cornell University; Nelly Andarawis-Puri, Cornell University

Tagged Divisions

Mechanical Engineering

peers who completed the step-by-step version (p<0.05, d=0.32). Students who are generally weaker on this material, as judged bytheir eventual overall score in this course, tended to be helped more by the open-ended version ofthe lab than students who are generally stronger on this material. This outcome suggests thathaving to design their own experimental protocol may make students more likely to understandor remember all steps involved in particular data reduction tasks. When possible, instructorsshould avoid giving students unnecessarily detailed instructions.References[1] J. S. Bruner, “The Art of Discovery,” Harvard Educational Review 31 (1961): 21–32[2] W. S. Anthony, “Learning to discover rules by discovery,” Journal of

Conference Session

Curriculum and the Classroom

Collection

2018 ASEE Annual Conference & Exposition

Authors

Mustafa Shraim, Ohio University

Tagged Divisions

Engineering Management

. People, Equipment, Material, Environment, and Methods). It was emphasized to look for direct causes only at this point– not solutions and not indirect or root causes (Figure 4). b. 5-Whys: After completing the Ishikawa diagram, each team picked their top three to five causes and used the 5-Whys method to drill down to the potential root cause(s). From the Ishikawa diagram, the team identified three direct causes that could be contributing to the inconsistency in the distance. Using the 5-whys, the root causes were identified (Table 2). Figure 4: Brainstormed Causes of Inconsistency in Distance Table 2: Direct Causes vs. Root Causes

Conference Session

Electrical and Computer Division Technical Session 5

Collection

2018 ASEE Annual Conference & Exposition

Authors

Thomas J. Siller, Colorado State University; Anthony A. Maciejewski, Colorado State University; Andrea M. Leland, Colorado State University; Tom Chen, Colorado State University; Branislav M. Notaros, Colorado State University; Sourajeet Roy, Colorado State University; Adam C. Hicks, Colorado State University

Tagged Divisions

Electrical and Computer

engineering from the University of Belgrade, Yugoslavia, in 1995. His research publications in computational and applied electromagnetics include more than 150 journal and conference papers. He is the author of textbooks Electromagnetics (2010) and MATLAB-Based Electromagnetics (2013), both with Pearson Prentice Hall. Prof. Notaros served as General Chair of FEM2012, Colorado, USA, and as Guest Editor of the Special Issue on Finite Elements for Microwave Engineering, in Electromagnetics, 2014. He was the recipient of the 1999 Institution of Electrical Engineers (IEE) Marconi Premium, 2005 Institute of Electrical and Electronics Engineers (IEEE) MTT-S Microwave Prize, 2005 UMass Dartmouth Scholar of the Year Award, 2012

Conference Session

Design Thinking and Creativity

Collection

2018 ASEE Annual Conference & Exposition

Authors

Kevin Calabro, University of Maryland, College Park

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

.  ● Cognitive training:  instruction aimed to help students understand how systems and  devices work, what principles govern the operation of these components, and describing  case studies of prototypical failures that students may latter draw analogies from.  ● Troubleshooting stations:  instructional method where students are intentionally  provided poor performing designs and scaffolded in identifying the cause(s) of the  problems and asked to improve the performance of the component.  ● Teacher modeling:  a form of coaching in which a teacher demonstrates for students how  they analyze a component that is not performing well.     In addition to describing four teaching strategies that may address

Conference Session

International Engineering Education Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Pradeep Kashinath Waychal, Western Michigan University; Jayantrao Bhaurao Patil, R. C. Patel Institute of Technology, Shirpur, India; Pramod Jagan Deore, R. C. Patel Institute of Technology, Shirpur, India; Suhas Pandit Shukla, R. C. Patel Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

International

We formed divisions as per entrance examination scores and allocated better teachersto divisions with poor performers. The teachers were asked to follow the mastery approach i.e.focus more on understanding. We kept the same divisions for all courses. s based on consistentstudent evaluations of teaching effectiveness and performance of their students in universityexaminations. Kulik et al. [12] did meta-analysis of findings from 108 controlled evaluationsto conclude that mastery learning programs have positive effects on the examinationperformance of students in colleges. Further, they found that the effects appear to be strongeron the weaker students in a class, and they also vary as a function of mastery procedures used,experimental designs

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Rose M. Marra, University of Missouri; Carolyn Plumb, Montana State University; Douglas J. Hacker

Tagged Topics

NSF Grantees Poster Session

Preschool TeacherCandidates", Universal Journal of Educational Research, vol. 4, no. 11, pp. 2533-2540, 2016.[8] D. Jonassen, J. Strobel and C. Lee, "Everyday Problem Solving in Engineering: Lessons forEngineering Educators", Journal of Engineering Education, vol. 95, no. 2, pp. 139-151, 2006.[9] S. Loyens, J. Magda and R. Rikers, "Self-Directed Learning in Problem-Based Learning and itsRelationships with Self-Regulated Learning", Educational Psychology Review, vol. 20, no. 4, pp. 411-427,2008.[10] M. Gick and K. Holyoak, “The cognitive basis of knowledge transfer”, Transfer of learning:Contemporary research and applications, Elsevier, pp. 9-46, 1987.[11] D. Jonassen, "Instructional design models for well-structured and III-structured problem

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Peter Rogers, Ohio State University; Denny C. Davis, Ohio State University; Bashirah Ibrahim, Ohio State University; Lin Ding, Ohio State University; Kaycee Ash, Ohio State University

Tagged Topics

NSF Grantees Poster Session

and bottom three motivational attitudes along with the student’s rating.Further, it depicts the average intrinsic and extrinsic scores allowing the student to comparehis/her motivation with that of the whole class. Finally, there is a short summary explaining thestudent’s motivational attitudes category together with the attitude items with which s/he wasleast and most motivated. Example report cards for students intrinsically and extrinsicallybalanced, predominantly intrinsic, and predominantly extrinsic in nature are shown in Figs. 1-3.Figure 1 is an example report card for an intrinsically and extrinsically balanced student with anaverage intrinsic score of 7.4 and average extrinsic score of 8.1. This student provided the lowestrating for

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Sin-Ning Cindy Liu, Texas A&M University; Cynthia K. Lang, Texas A&M University; Carolyn L. Sandoval, Texas A&M University; Mindy Bergman, Texas A&M University; Jeffrey E. Froyd, Ohio State University

Tagged Topics

NSF Grantees Poster Session

process, the ISE-2 project team will compare student reports of engagement and classroom climate in classrooms taught by ISE-2 faculty versus comparison classes. A survey for junior students was also administered in Spring 2017 and will be administered in the Spring semesters of subsequent years. This survey broadly examines student engagement and classroom climate in the College of Engineering. The goal is to determine if there are changes in juniors’ experiences pre-/post-implementation of ISE-2.  Student engagement in the classroom is measured by the Student Experience in the Research University Survey (SERU-S)2. Classroom climate is measured by the Critical Incidents Questionnaire (CIQ)3, items from the Diversity

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Lesley Strawderman, Mississippi State University; Rani W. Sullivan, Mississippi State University; Mahnas Jean Mohammadi-Aragh, Mississippi State University

Tagged Topics

Diversity, NSF Grantees Poster Session

Recruitment, Mentoring and Retention through the Aerospace and Industrial Engineering (ASPIRE) Scholarship Program1. IntroductionThe overarching goal of the Aerospace and Industrial Engineering (ASPIRE) Scholarshipprogram is to improve recruitment and retention of aerospace engineering (AE) and industrial(IE) engineering students. With support from the NSF S-STEM program, the ASPIRE programprovides scholarships to academically talented, full-time AE and IE students with demonstratedfinancial need. The ASPIRE program enhances the educational experience of ASPIRE studentsthrough mentoring and networking events. The objectives of the ASPIRE program are to: • Prepare students for the workforce. • Provide educational

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Nathanial David Wiggins, San Jacinto College; Sadegh Davari, University of Houston, Clear Lake; Sharon Perkins Hall, University of Houston, Clear Lake; Krishani Abeysekera, University of Houston Clear Lake; Norman H. Liebling, San Jacinto College; James LeRoy Meeks, San Jacinto College

Tagged Topics

Diversity, NSF Grantees Poster Session

engagement of industry mentors with the students has increased the number ofinternships with the region. The interaction of students in competitions motivates the students totake on more challenging projects in STEM areas than they would engage in with traditionalcourses. Finally, having students carry out lessons and activities builds self-confidence andspeaking skills.References1. Jolly, Campbell, and Perlman, “Engagement, Capacity and Continuity: A Trilogy for StudentSuccess” (GE Foundation, September 2004)2. Chun-Mei Zhao and George D. Kuh, “ADDING VALUE: Learning Communities and StudentEngagement”, Research in Higher Education, vol. 47, 2006, pp 89-1093. Georgiopoulos, M., Young, C., Geiger, C., Hagen, S., Parkinson, C., Morrison-Shetlar, A

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Cheryl Cass, North Carolina State University; Adam Kirn, University of Nevada, Reno; Marissa A. Tsugawa-Nieves, University of Nevada, Reno; Heather Lee Perkins, North Carolina State University; Matthew Bahnson, North Carolina State University; Rebecca Mills, University of Nevada, Reno; Amber B. Parker, North Carolina State University

Tagged Topics

Diversity, NSF Grantees Poster Session

Engineering Education, vol. 104, no. 1, pp. 74–100, 2015.[6] J. C. Hilpert, J. Husman, G. S. Stump, W. Kim, W. T. Chung, and M. A. Duggan, “Examining students’ future time perspective: Pathways to knowledge building,” Jpn. Psychol. Res., vol. 54, no. 3, pp. 229–240, 2012.[7] E. Godfrey and L. Parker, “Mapping the Cultural Landscape in Engineering Education,” Journal of Engineering Education, vol. 99, pp. 5–22, 2010.[8] E. Crede and M. Borrego, “From Ethnography to Items: A Mixed Methods Approach to Developing a Survey to Examine Graduate Engineering Student Retention,” J. Mix. Methods Res., vol. 7, no. 1, pp. 62–80, Aug. 2012.[9] B. E. Lovitts and C. Nelson, “The Hidden Crisis in Graduate Education: Attrition From Ph.D

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Caroline Elizabeth Crockett, University of Michigan; Kevin A. Nguyen, University of Texas, Austin; Prateek Shekhar, University of Michigan; Robert Matthew DeMonbrun, University of Michigan; Sneha Tharayil, University of Texas, Austin; Robyn Rosenberg, Harvard University; Cindy Waters, North Carolina A&T State University; Maura J. Borrego, University of Texas, Austin; Cynthia J. Finelli, University of Michigan

Tagged Topics

NSF Grantees Poster Session

research is needed.AcknowledgementsThe authors thank the reviewers for their helpful comments and suggestions. We would also liketo gratefully acknowledge the NSF for their financial support (through the DUE-1744407 grant).Any opinions, findings, and conclusions or recommendations expressed in this Report are thoseof the authors and do not necessarily reflect the views of the National Science Foundation; NSFhas not approved or endorsed its content.References[1] S. Freeman et al., “Active learning increases student performance in science, engineering, and mathematics,” PNAS, vol. 111, no. 23, pp. 8410-8415, June 10, 2014.[2] M. H. Dancy and C. Henderson, “Experiences of new faculty implementing research-based instructional strategies,” AIP

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Ying Tang, Rowan University; Kauser Jahan P.E., Rowan University; Kevin B. Trinh; Gena Gizzi; Nathan Lamb

Tagged Topics

NSF Grantees Poster Session

are typically notassociated with engineering by middle schoolers, a reality that this game confronts. This allowsAlgae City to have a greater audience and get a wider variety of people interested in algae andengineering. Future work involves testing this game with subject groups of various ages rangingfrom 5th to 8th grade, gathering feedback, and then making any necessary changes to the gamebased off that feedback. In the end, Algae City aims to challenge, excite, and educate the playerwith the overarching goal of promoting STEM education.References[1]. T. S. Online, “Students taking up STEM subjects on decline last 10 years,” Nation | The StarOnline, 15-Jul-2017. [Online]. Available:https://www.thestar.com.my/news/nation/2017/07/16/students

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Zhaoshuo Jiang P.E., San Francisco State University; Juan M. Caicedo, University of South Carolina; Robert Petrulis, EPRE Consulting LLC

Tagged Topics

Diversity, NSF Grantees Poster Session

A. Bergman, T. Kf Caughey, Anastassios G. Chassiakos, Richard O. Claus, Sami F. Masri, Robert E. Skelton, T. T. Soong, B. F. Spencer, and James TP Yao. (1997). "Structural control: past, present, and future." Journal of engineering mechanics 123, no. 9: 897-971.[6] Spencer Jr, B. F., and S. Nagarajaiah. (2003). "State of the art of structural control." Journal of structural engineering 129, no. 7: 845-856.[7] Mahin, S. A., P. B. Shing, C. R. Thewalt and R. D. Hanson. (1989). "Pseudodynamic test method-current status and future directions." J. Struct. Eng. 115 2113–28.[8] Shing, P. B., M. Nakashima and O. S. Bursi. (1996). "Application of pseudodynamic test method to structural research." Earthq. Spectra 12 29–56.[9

Conference Session

Computers in Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Mourya Reddy Narasareddygari, North Dakota State University; Gursimran Singh Walia, North Dakota State University; Alex Radermacher, North Dakota State University; Otto Borchert, North Dakota State University

Tagged Divisions

Computers in Education

Paper ID #22817Evaluating Learning Engagement Strategies in a Cyber Learning Environ-ment during Introductory Computer Programming Courses – an EmpiricalInvestigationMrs. Mourya Reddy Narasareddygari I am Ph.D student at North Dakota State University. My research work is to see how different Learning strategies affect the student learning.Dr. Gursimran Singh Walia Gursimran S. Walia is an associate professor of Computer Science at North Dakota State University. His main research interests include empirical software engineering, software engineering education, human factors in software engineering, and software quality. He is a

Conference Session

Biomedical Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Michael R. Caplan, Arizona State University; Joshua Adams, Arizona State University ; Michelene T.H. Chi, Arizona State University

Tagged Divisions

Biomedical Engineering

a 5-point rubric yielding total scores between 0 and 16for each. Cohen’s d (effect size) was calculated ([3]: (µ1-µ2)/s), and average post-quiz scoreswere compared by paired t-test or repeated-measures ANOVA. Students’ self-recorded videoswere coded for the quality of their interactions as described by [1]. Two factors were varied: (1) the scaffolding (instructions) given to the students and (2)whether students watched a dialogue video or monologue video. Statistical analyses of thenumber of interactive episodes for each group are performed (by coding interactions observed inthe students’ self-recorded videos) to test the hypothesis that students watching dialogue videoshave more interactive episodes and higher learning gains than