Conference Session

Entrepreneurship & Engineering Innovation Division Technical Session 2

Collection

2016 ASEE Annual Conference & Exposition

Authors

Katherine Goodman, University of Colorado - Denver; Heather Underwood, Inworks; John K. Bennett, Inworks; University of Colorado - Denver

Tagged Topics

Diversity

Tagged Divisions

Entrepreneurship & Engineering Innovation

. Diffusion of research-based instructional strategies: the case of SCALE-UP. Int. J. STEM Educ. 1, (2014).11. Daly, S. R., Mosyjowski, E. a. & Seifert, C. M. Teaching creativity in engineering courses. J. Eng. Educ. 103, 417–449 (2014).12. Zappe, S., Mena, I. & Litzinger, T. Creativity is Not a Purple Dragon. Natl. Coll. Invent. Innov. Alliance (2013). at 13. Schön, D. A. The Reflective Practitioner: How Professionals Think in Action. (Basic Books, 1983). at 14. Dym, C. L., Agogino, A. M., Eris, O., Frey, D. D. & Leifer, L. J. Engineering Design Thinking, Teaching, and Learning. J. Eng. Educ. 94, 103–120 (2005).15. Wing, J. M. Viewpoint: Computational Thinking. Commun. ACM 49, 33–35 (2006).16. Rosen

Conference Session

Engineering Physics Technical Session 2

Collection

2016 ASEE Annual Conference & Exposition

Authors

Ian Frommer, US Coast Guard Academy; Paul Benjamin Crilly, U.S. Coast Guard Academy

Tagged Topics

Diversity

Tagged Divisions

Engineering Physics & Physics

author took several lab courses, followed theinstructions and was assigned good grades. He spent little to no time reflecting on each labafterwards, instead going on to focus on the next problem set, paper or upcoming exam. Whilethe labs were often designed to demonstrate theory that was introduced in lecture, there weremany situations in which important underlying assumptions were not mentioned. Now, as amathematics professor teaching courses with applications, such as differential equations, discretemathematics, and linear optimization, the author’s interest in applied topics has been rekindled.It is apparent that his learning in undergraduate lab courses and the supporting lecture courseswas not sufficiently deep and did not include the

Conference Session

Student and Other Views on Engineering Leadership

Collection

2016 ASEE Annual Conference & Exposition

Authors

Meg Handley, Pennsylvania State University, University Park; Dena Lang, Pennsylvania State University, University Park; Andrew Michael Erdman, The Pennsylvania State University

Tagged Divisions

Engineering Leadership Development Division

thepotential for engineering leadership behavior. A student who demonstrates engineeringleadership behaviors during the career fair will communicate in ways that show a reflection andunderstanding of their personal leadership development. Experiences are important to have, butan ability to translate those experiences from merely an action to a learning experiencedemonstrates potential for engineering leadership during a career fair.“Engineering students that are able to articulate these experiences as positive and beneficial intheir development and how or why is a plus.”“Potential engineering leaders often present those experiences in a way that often times reflectstheir thirst for more.”“Hands-on senior design projects are important. My industry is

Conference Session

ECCD Technical Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Jennifer Lynn Wade, Northern Arizona University; Karin E. Wadsack, Northern Arizona University School of Earth & Sustainability; Benjamin L. Ruddell, Northern Arizona University; Brent A. Nelson, Northern Arizona University

Tagged Divisions

Energy Conversion and Conservation

their efforts, which can be difficult both for tenure-track faculty who are evaluated based onresearch publications as well as non-tenure-track faculty with high teaching loads.In reflection of these lessons learned, we plan to continue to implement these projects in classeswherever relevant, including both design- and energy-focused courses, in addition toindependent study and research projects. Continuous project refinement is needed to ensure thatprojects are well-defined and tractable for students. All projects will require regular feedback andinteraction with facilities staff to ensure both project relevance and implementation of projectresults. Finally, the continued pursuit of institutional-level resources will be needed to providethe

Conference Session

Engineering Design Graphics Division Technical Session 1 - Current Issues

Collection

2019 ASEE Annual Conference & Exposition

Authors

Yi-hsiang Isaac Chang, Illinois State University; Kevin L. Devine, Illinois State University

Tagged Divisions

Engineering Design Graphics

provides the essential immersive experiencehas become more affordable [11]. Nevertheless, a review of literature revealed only a few casesof VR-based STEM learning being reported [12]. Different from the game-based learningstrategy [13], [14], learning in immersive VR environments must properly reflect the physicallaws or spatial constraints governing our surrounding in order to imitate the real worldexperience. A typical example is the building activity in the video game Fortnite [15]. While theplayer has to collect material before actual construction can happen, the structures created wereso simplified that they could not exist in the physical world. Video games such as Fortnite do notrequire an immersive environment, as the focus of the games

Conference Session

Active & Cooperative Learning in ECE

Collection

2019 ASEE Annual Conference & Exposition

Authors

Stewart Thomas, Bucknell University

Tagged Divisions

Electrical and Computer

learner was greatlyincreased while also increasing the amount of time for in-class problem solving. However in thisstudy it is difficult to isolate the effect of the daily quizzes from the change in number of weeklymeetings or increase of time for in-class problem solving. Further the course evaluation dataremains difficult to interpret. In the 2016, only 51% of students enrolled in the course participatedin the final course evaluations and in 2017, only 35% of students completed the evaluations.Because of these low response rates, it is possible that the reported data in this study does notaccurately reflect general student perceptions of the course. More work is need to isolate theeffects of the daily quiz and to study the effect of the various

Conference Session

Environmental Division Technical Session 4

Collection

2019 ASEE Annual Conference & Exposition

Authors

Natasha Andrade, University of Maryland, College Park

Tagged Divisions

Environmental Engineering

Dyrenfurth [3]provide a very good review of the terms that are used in scientific literature, which include,among others, nonscientific beliefs, alternative frameworks, p-prims. Though vocabulary maychange, misconceptions (term chosen for this paper) are how people make sense of the worldeven though it does not reflect established scientific knowledge held by experts. Misconceptionsmay also be incorrect categorizations, particularly if one understands concepts as organizingknowledge in categories [7]. In general, misconceptions may arise due to incorrect instruction,but they may also be constructed by everyday interactions and language barriers. It is importantto note here that there is a line of research that understands misconceptions as novice

Conference Session

First-Year Programs: Professional Skill Development

Collection

2019 ASEE Annual Conference & Exposition

Authors

Kathleen A. Harper, Ohio State University; Richard J. Freuler, Ohio State University

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

rationale for each form. At the end of the semester, students wereasked to reflect on the strengths and weaknesses of whatever grouping technique was used intheir section. A qualitative analysis of all of these data has led to a description of the experiencefrom the perspective of the students. Further, the trends that emerged from these engineeringstudent descriptions were compared to and contrasted with the benefits described (largely byinstructors) in implementations in mathematics courses elsewhere.Course Background, Description, and SettingThe work described was situated in the first-year engineering honors program [17]. Thisprogram, which has enjoyed a rich history, typically serves between 350 and 450 students peracademic year. Almost all of

Conference Session

ERM Technical Session 1: Methods Refresh: Approaches to Data Analysis in Engineering Education Research

Collection

2019 ASEE Annual Conference & Exposition

Authors

Manoj Malviya, Pennsylvania State University; Catherine G.P. Berdanier, Pennsylvania State University; Natascha Trellinger Buswell, University of California, Irvine

Tagged Divisions

Educational Research and Methods

GeneralizedObservation and Reflection Platform (GORP), hosted by UC Davis(https://cee.ucdavis.edu/GORP). While there are limitations to the GORP tool, the advantage ofbeing free, intuitive, and able to be run on a touch screen laptop far outweigh limitations. The dataare captured in real time and outputs as a spreadsheet file, which reads the categories as a functionof time points. The resulting data file can be manipulated in MATLAB or other programs. Table 2: Codebook and Numerical Values Assigned for Data Processing Numerical Level Definition of Level

Conference Session

Ocean and Marine Division Technical Session 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Lihwa Lin, U.S. Army Corps of Engineers

Tagged Divisions

Ocean and Marine

sheltered by the island.NUMERICAL MODELS The USACE Coastal Modeling System (CMS) numerical models (Demirbilek andRosati, 2011) were implemented in the present modeling study. The CMS is a suite ofnumerical wave, current, salinity, and sediment transport models consisting of CMS-Wave and CMS-Flow. CMS-Wave is a finite-difference, two-dimensional steady-statewave spectral transformation model that calculates wave propagation, generation,refraction, diffraction, reflection, transmission, run-up, and wave-current interaction (Linet al. 2008, 2011). CMS-Flow is a finite-difference, time-dependent three-dimensionalcirculation model which also calculates sediment transport, morphology change, salinity,and temperature fields (Buttolph et al. 2006

Conference Session

Technology and Manufacturing

Collection

2019 ASEE Annual Conference & Exposition

Authors

Gary J. Mullett, Springfield Technical Community College

Tagged Divisions

Two-Year College

– Proposed New Courses/Modules for Certificates/AS DegreeIs This Approach a Possible Solution?Shown below in Figure 4. are the basic enabling technologies of IoT applications that exist acrossvarious fields of technology including non-electronics based fields (e.g. smart agriculture, civilengineering, etc.). This figure shows that at the very center of these technologies is a complex,networked, electronic systems. The application itself is reflective of the specific discipline that theIoT application is designed for. An e-healthcare application might be to gather an individual’s vitalsigns in their place of residence and wirelessly transmit them to a central location where they canbe monitored. A smart home might be gathering data about solar panel

Conference Session

Engineering Ethics Division Technical Session - Ethics Decision-Making

Collection

2019 ASEE Annual Conference & Exposition

Authors

Jonathan Beever, University of Central Florida; Laurie A. Pinkert, University of Central Florida

Tagged Divisions

Engineering Ethics

moraldevelopment that privileges reason (see discussions in Davis and Feinerman [2]; Holsapple et al.[3]; Clarkeburn [4]; Bebeau and Thoma [5]). Moral foundations are described as value-drivenaffects that influence our decisions even before conscious reflection and reasoned decision-making enters the stage. Identifying the roles that such pre-rational individual values play withindisciplinary enculturation is especially crucial to increasing and retaining diverse perspectiveswithin STEM fields, contributing specific insight into why some individuals may not “seethemselves” in the values of their selected disciplines [6], [7]. This institution-specific analysisprovides proof of concept through preliminary data in support of a larger multi

Conference Session

T1C: Developing Foundations in Mathematics

Collection

2019 FYEE Conference

Authors

Jacquelyn Huff, Pennsylvania State University, University Park; Kristi J. Shryock, Texas A&M University; Andrea M. Ogilvie P.E., Texas A&M University; Danisha Stern, Texas A&M University; Sonia Garcia, Texas A&M University; Shawna Fletcher, Texas A&M University

Tagged Topics

FYEE Conference - Paper Submission

works? The hope wasto nudge students towards an understanding of math that is not based on rules and rotememorization but instead is based on understanding the big concepts and knowing how thoseconcepts contribute to the myriad of tools used as part of the mathematician’s toolbox to solveapplication problems.To help along this journey, the instructors designed a few specific activities designed to generatediscussions about math, what it means to understand math, and even what it means to be good atmath. To start the course, students were asked to read, reflect on, and write a response to thewell-known essay, The Mathematicians Lament, by Paul Lockhart. This was followed up withan in-class discussion in which students were asked which part of

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Sarah Jane Bork, University of Michigan; Candace Rose Wiwel, University of Michigan; Max William Blackburn, University of Michigan; Aaron W. Johnson, University of Michigan; Cynthia J. Finelli, University of Michigan

Tagged Topics

NSF Grantees Poster Session

-1711533. 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.References[1] Paulson, D. R., & Faust, J. L. (1988). Active and Cooperative Learning. Los Angeles: California State University, Los Angeles. Retrieved from http://www.calstatela.edu/dept/chem/chem2/Active/index.htm[2] Prince, M. (2004). Does active learning work? A review of the research. Journal of Engineering Education, 93(3), 223-231.[3] Freeman, 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

Conference Session

Pre-College Engineering Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Alissa Ruth, Arizona State University; Tameka Spence, Arizona State University; Joseph V. Hackman, Arizona State University; Jennifer Velez M.Ed., Arizona State University; Hope Parker, Arizona State University; Tirupalavanam G. Ganesh, Arizona State University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

engineering, theimportance of feedback and the importance of multiple perspectives than males. This puzzlingfinding is a result of small differences between males and females at both baseline and post.Females had slightly lower scores at baseline and slightly higher scores at post than males (SeeTable 1). While neither of these were statistically significant, they reflect that females hadgreater overall gains in scores than males. Assessing the change in scores within gender showedthat, at post, females saw significant improvements in attitudes towards engineering, importanceof feedback, growth mindset, and the importance of multiple perspectives when compared totheir pretest scores. At baseline, we observed no significant differences by

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Tristan Ventura, Rutgers University; Abdallah Khreishah, New Jersey Institute of Technology; John D. Carpinelli, New Jersey Institute of Technology; Durga Misra, New Jersey Institute of Technology

Tagged Topics

Diversity, NSF Grantees Poster Session

conclusions or recommendationsexpressed in this paper are those of the authors and do not necessarily reflect the views of theNational Science Foundation.References[1] Geometric Optics, PhET, Available at: https://phet.colorado.edu/en/simulation/geometric-optics [Accessed 5 Aug. 2017].[2] B. Alberts, “Prioritizing science education,” Science, vol. 328, pp.249-249, Apr. 2010.[3] I. E. Allen and J. Seaman, Class Difference$: Online Education in the United States. Babson Survey Research Group, 2010. Available: https://files.eric.ed.gov/fulltext/ED529952.pdf. [Accessed December 29, 2017][4] T. de Jong, M. Linn, and Z. Zachariam “Physical and virtual laboratories in science and engineering Education,” Science, vol. 340

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Kathleen Alfano, College of the Canyons

Tagged Topics

NSF Grantees Poster Session

, Oxnard College, Santa Barbara City College, and both the ComputerScience and Information Technology departments of CSUCI. One of the first areasdiscussed was that the curricula at the community colleges and the BSIT program havediverged. Reflective of this is the incoming students surprise at how few of theircommunity college courses are transferring as disciplinary credit. The primaryrecommendation from this review of the data is the recommendation that the feedercommunity colleges and CSUCI faculty assess curriculum realignment.All parties are enthusiastic and future meetings are planned to reassess the curriculaalignment in order to assist student progress in transfer and completion. It is noteworthyto look at why this is important and what

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Susan L. Burkett, University of Alabama; Sally Gerster, University of Colorado; Todd Freeborn, University of Alabama; Debra Moehle McCallum, University of Alabama; Rachel M. Frazier, University of Alabama; Eric R. Giannini, RJ Lee Group

Tagged Topics

NSF Grantees Poster Session

renewable resources, theprimary topic area of the REU. Data for the first two years of the program (10 students in 2016 and 9 in2017) are included in the analysis. In addition to the quantitative results from close-ended surveyquestions, the comments made by the students in response to open-ended questions, both in the focusgroup and on their surveys, provide additional insight into their reflections on the impact of the REU andtheir interest in the research topic and research in general.SatisfactionOverall, the students have been happy with the REU experience, and good post-site ratings for the firstyear became even better in the second year. These ratings are presented in Table 1. Students who gaverelatively lower ratings tended to be those who

Conference Session

Civil Engineering Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Meg E. West, Ohio State University

Tagged Divisions

Civil Engineering

education. In the hopes of filling the void, Gavin [11]suggests that “problem based learning should be used as a partial solution to developprofessional problem-solving skills through the application rather than the acquisition ofknowledge” and as such uses project-based learning in his capstone design course. Gavin’s [11]review of project-based learning was in context of a capstone design course that is focused onstructures engineering; however, the pedagogies described can be easily transferred totransportation engineering design. In the course, learning is directed by the problem itself andstudents are required to guide themselves toward a solution. Self-reflection through questionssuch as ‘What did I learn?’ and ‘What further knowledge do I

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Debapriyo Paul, Texas A&M University; Bimal P. Nepal, Texas A&M University; Michael Johnson, Texas A&M University

Tagged Topics

Diversity, NSF Grantees Poster Session

differentiating factors like race, ethnicity and age can be thought of asthe future scope of this particular study.AcknowledgementThis material is supported by the National Science Foundation under DUE Grant Numbers1501952 and 1501938. Any opinions, findings, conclusions, or recommendations presented arethose of the authors and do not necessarily reflect the views of the National Science Foundation.References[1] Langdon, D., Mckittrick, G., Beede, D., Khan, B. & Doms, M., (2011). Stem: Good jobs now and for the future. Esa issue brief# 03-11. US Department of Commerce.[2] Carnevale, A.P., Smith, N. & Melton, M., (2011). Stem: Science technology engineering mathematics. Georgetown University Center on Education and the Workforce.[3

Conference Session

Computers in Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Wen Huang, Arizona State University, Polytechnic campus

Tagged Divisions

Computers in Education

supplementary open questions related to participants’ experience in thecollaborative virtual assembly task, their reflections, and feedbacks. The development of these two questionnaires will follow the instrument developmentprocess in the affective domain introduced by McCoach, Gable, & Madura [35]. Specifically, foursteps will be completed in sequence: (1) literature reading and existing similar instruments search;(2) item writing or revision; (3) content validity assessment; (4) face validity assessment. Two orthree researchers in the engineering education and the automotive fields will be invited to assessthe validity of generated items and 3–5 undergraduate students to evaluate whether the instrumentscan be understood for the face

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Derrick James Satterfield, University of Nevada, Reno; Jacqueline Ann Rohde, Purdue University; Miguel Rodriguez, Florida International University; Beverly Ma, University of Nevada, Reno; Jacqueline Doyle; Allison Godwin, Purdue University, West Lafayette (College of Engineering); Geoff Potvin, Florida International University; Lisa Benson, Clemson University; Adam Kirn, University of Nevada, Reno

Tagged Topics

Diversity, NSF Grantees Poster Session

Qualitative Researchers, 2nd ed. Thousand Oaks: SAGE , 2012.[17] J. Walther, N. W. Sochacka, and N. Kellam, “Quality in Interpretive Engineering Education Research: Reflections on an Example Study,” J. Eng. Educ., vol. 102, no. 4, 2013.[18] L. K. Su, “Quantification of diversity in engineering higher education in the United States,” J. Women Minor. Sci. Eng., vol. 16, no. 2, 2010.[19] E. D. Tate and M. C. Linn, “How does identity shape the experiences of women of color engineering students?,” J. Sci. Educ. Technol., vol. 14, no. 5–6, pp. 483–493, 2005.[20] C. Hill, C. Corbett, and A. St Rose, Why So Few ? Women in science, technology, engineering and mathematics. Washington, DC: American Association of University Women

Conference Session

First-year Programs Division Technical Session 5: Using Video, Games, and More in the First Year

Collection

2015 ASEE Annual Conference & Exposition

Authors

Gregory Warren Bucks, University of Cincinnati; Kathleen A. Ossman, University of Cincinnati

Tagged Divisions

First-Year Programs

Mean Change Z SignificantProblem Deviation Deviation 2013 2014 In Mean Value α = 0.01 2013 2014 P3 8.90 2.37 9.32 2.18 +0.42 4.06 YES P6 10.09 2.64 10.75 2.08 +0.66 5.77 YES P7 9.89 3.04 10.76 2.20 +0.87 6.56 YES P8 7.17 3.13 8.27 2.75 +1.1 8.09 YESTable 4 lists the topics covered in each exam problem and reflects the increased emphasis anarrays and loops

Conference Session

Civic Engagement and Volunteerism in Engineering

Collection

2015 ASEE Annual Conference & Exposition

Authors

Nathan E. Canney P.E., Seattle University; Angela R. Bielefeldt, University of Colorado, Boulder

Tagged Topics

Diversity

Tagged Divisions

Community Engagement Division

could examine other ways to view studentvolunteerism and the potential effects that those experiences have on the attitudes of personaland professional social responsibility in engineering students.AcknowledgementsThis material is based on work supported by the National Science Foundation under Grant#1158863. 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 A. W. Astin, L. J. Vogelgesang, E. K. Ikeda and J. A. Yee, How Service Learning Affects Students, Los Angeles: Higher Education Research Institute, 2000.2 J. S. Eyler, D. E. Giles, C. M. Stenson and C. J. Gray, "At a Glace: What We

Conference Session

First-year Programs Division Technical Session 9: Focus on Student Learning, Lifelong Learning, and the Whole Student

Collection

2015 ASEE Annual Conference & Exposition

Authors

Krista M. Kecskemety, Ohio State University; Jacob T Allenstein, Ohio State University; Robert B. Rhoads, Ohio State University; Clifford A Whitfield, Ohio State University

Tagged Divisions

First-Year Programs

the characteristics thatlifelong learners would possess.Mourtos7 developed a different strategy for looking at the definition of lifelong learning and itsrelationship to the ABET student outcome. In his work, he divided the ABET outcome into thetwo parts of: • recognizing the need for lifelong learning and • the ability to engage in lifelong learning.Mourtos7 developed 14 attributes to measure lifelong learning in students in both of thesecategories. These measures were then used in course design to ensure that lifelong learning wasincluded and assessed in the curriculum. The methods of assessment included student work,student course reflections, and student surveys. Mourtos7 recognizes that the 14 attributes oflifelong learning

Conference Session

Division Experimentation & Lab-Oriented Studies: Pedagogy of Lab-Oriented Courses

Collection

2015 ASEE Annual Conference & Exposition

Authors

Nebojsa I Jaksic P.E., Colorado State University, Pueblo

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

learning objectives. Also, designemphasis (cognitive objective) and proficiency with 3D-printing processes (skill learningobjective) are reflected in ABET General Criterion 3, Student Outcomes23 (c) “an ability todesign a system, component, or process to meet desired needs within realistic constraints such aseconomic, environmental, social, political, ethical, health and safety, manufacturability, andsustainability” and (k) “an ability to use the techniques, skills, and modern engineering toolsnecessary for engineering practice.” In addition, physical models that provide tactile, visual, andmanipulative feedback to learners have been implemented successfully in general education for along time.The 3D-printing lab includes nine inexpensive 3D

Conference Session

Computers in Education Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Lee Kemp Rynearson, Purdue University, West Lafayette; David W Reazin, Purdue University

Tagged Divisions

Computers in Education

methods asan early version of the system was being prepared for use, and it was found that grading on thedigital rubrics was equivalent in speed or faster for all graders versus paper, but the specifictiming data was not retained once the decision to continue with development was made.Therefore, it is difficult to make quantitative statements about the improvements to efficiencyand reliability offered by the new computerized course tools. However, as the new systems offernew capabilities and eliminate certain classes of grading error entirely, some effects can bereported on qualitatively. In the cases, the effects and benefits reflect a consensus of the facultyand grading staff actively involved with the use of the computer tools.Computer Tool

Collection

2019 CIEC

Authors

Nicholas Hempenius; Te-Shun Chou; Lee Toderick

]. Patriciu and Furtuna, developed a guide for the designof cybersecurity exercises. The guide suggested seven sequential steps that should be followed todesign an effective cybersecurity exercise. The steps were as follows: Objectives, Approach,Topology, Scenario, Rules, Metrics, and Lessons learned. As a high-level guide, Patriciu andFurtuna, explained what each step was meant to achieve; an effective scoring engine istransparent to participants and accurately reflects rules regarding scoring. The scoring metricsare to be directly related to learning objectives [17]. For example, if the learning objective wasto secure a service using firewall technology, the corresponding metric should have measuredwhether that service was secured by the firewall’s

Collection

2018 Gulf Southwest Section Conference

Authors

John R. Clegg; Kenneth R. Diller

superior transfer and retention of the GIM framework forStudents’ performance on challenge-based assessments solving open-ended challenges (Figure 5). Illustratively, whenincreased linearly with respect to assessment number asked to reflect on the biotransport learning experience, one(r2=0.927) while having minimal correlation with routine student explained,knowledge performance (r2=0.338). (Figure 2). Performance “[Now] I don’t immediately jump to solving [a problem],on routine assessments had no correlation with time (r2=0.07, but think about how to approach it and often find severaldata not shown). Students’ familiarity and confidence toward ways to [solve] it. If one

Collection

2018 Gulf Southwest Section Conference

Authors

Julio Alonso; Jesus Vargas; Daniel Li; Abraham Elizarraras; Tony Hoang; Khanh Vu; J. Patterson; Mohammad Palwala; Marco Maldonado; Masaki Isago; Mark Aranda; Lan Trinh; Tu Huynh; Tie Nguyen; Bao Ly; Jiao Huang; Heidar Malki; Xiaojing Yuan

campus that we selected at the beginning. After collectingoptions, as reflected in survey responses described above, feedback, analyzing survey results, and scouting eachneed to be designed and implemented at both hardware and location several times through the day and the week, thesoftware level to meet the anticipated quality of service. final set of five BSS location recommendation are marked by red triangle outlined with black. The two green3.2 Factors and Process of BSS Station Location