Conference Session

ENT Division Technical Session: Assessment Tools and Practices

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Cheryl A. Bodnar, Rowan University; Siddharthsinh Jadeja, Rowan University; Elise Barrella P.E., Wake Forest University

Tagged Divisions

Entrepreneurship & Engineering Innovation

students’ weaknesses and strengths in domain knowledge [16].Instructors can assess students at earlier time points in a course, to identify potential areas ofweakness that can be addressed throughout the remainder of the instruction. In order toassess student learning, either formatively or summatively, an instructor needs to select anappropriate scoring method(s) for the concept maps. Several quantitative and qualitativescoring methods have been developed and applied to engineering students’ concept maps,with each taking a different approach to capturing a map’s complexity. Concept map scoringmethods typically include measures of conceptual depth, breadth, and connectedness [19].A concept map can be used before the start of a course to assist

Conference Session

First-Year Programs: Metacognition, Self-Efficacy, and Motivation #2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Peter M. Ostafichuk, University of British Columbia, Vancouver; Susan Nesbit, University of British Columbia, Vancouver; Naoko Ellis P.Eng., University of British Columbia, Vancouver; Gerald Tembrevilla, University of British Columbia, Vancouver

Tagged Divisions

First-Year Programs

average score earned). All statistical analyses were conducted usingIBM SPSS 25.The inter-rater reliability between the coders measured using Cohen’s kappa and is shown inTable 3. The two values in each cell of the table represent the reliability for the pre-interviews(left) and post-interviews (right). Agreement between Coders 1, 2, and 4 ranges from roughly“moderate” to “strong,” while agreement with Coder 3 is “minimal” to “weak” [32]. However,unless otherwise noted, Coder 3’s ratings are included in the aggregate results that follow as theeffect of removing Coder 3 is inconsequential, as will be shown.Table 3. Inter-rater reliability: Cohen's kappa for the four coders for pre / post interviews Coder 2

Conference Session

Student Approaches to Problem Solving

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Vanessa Svihla, University of New Mexico; Amber Gallup, University of New Mexico; Sung "Pil" Kang, University of New Mexico

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

mechanicalengineers. Future research will expand this to other engineering disciplines.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant No.EEC 1751369. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References[1] J. F. Hair, W. C. Black, B. J. Babin, R. E. Anderson, and R. L. Tatham, Multivariate data analysis. Upper Saddle River, NJ: Pearson Prentice Hall, 2006.[2] Z. S. Roth, H. Zhuang, V. Ungvichian, and A. Zilouchian, "Integrating Design into the Entire Electrical Engineering Four Year Experience."[3] B. I. Hyman, "From capstone to cornerstone

Conference Session

NSF Grantees: Diversity 3

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Doris J. Espiritu, Wilbur Wright College; Ruzica Todorovic, Wilbur Wright College

Tagged Topics

Diversity, NSF Grantees Poster Session

placement scores of Group 1 unexpectedly decreased, which pose a new and interesting research question on the value of motivation that will be further studied and discussed separately. Group 1 and 3 are excluded from the analysis of the Engineering Summer Bridge results. ALEKS Math Semester(s) of No. of Students GPA Math SAT Fall 2019 Placement recommended Placement Pre- Pre- Post

Conference Session

Faculty and Student Perspective on Instructional Strategies

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Roxana Maria Carbonell, University of Texas at Austin; Audrey Boklage, University of Texas at Austin; Patricia Clayton, University of Texas at Austin; Maura J. Borrego, University of Texas at Austin

Tagged Divisions

Educational Research and Methods

. Retrieved from Washington, DC:Brubaker, E. R., Kohn, M., & Sheppard, S. (2019). Comparing outcomes of introductory makerspaces courses: The role of reflection and multi-age communities of practice. Paper presented at the International Symposium on Academic Makerspaces, New Haven, CT.Carbonell, R. M., & Andrews, M. E., & Boklage, A., & Borrego, M. J. (2019, June), Innovation, Design, and Self-Efficacy: The Impact of Makerspaces Paper presented at 2019 ASEE Annual Conference & Exposition, Tampa, Florida. https://peer.asee.org/32965Charmaz, K. (2006). Constructing grounded theory: A practical guide through qualitative analysis. Thousand Oaks, CA: Pine Forge Press.Fasso, W., & Knight, B. A. (2019

Conference Session

A Focus on Sustainability

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Inez Hua, Purdue University, West Lafayette; Monica E. Cardella, Purdue University, West Lafayette

Tagged Divisions

Environmental Engineering

Recovery Dismantle & Remanufactur OEM e Reuse Retail/Service Provider Maintain/ Prolong User s Collection End of Life Landfill Incineration (with or without energy recovery)Figure 1

Conference Session

Understanding Student Behavior and Experiences

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Jack Elliott, Utah State University; Angela Minichiello P.E., Utah State University; Joel Ellsworth, Utah State University

Tagged Divisions

Educational Research and Methods

identify motivations for and barriers to changes in resource use, Survey 3 also askedparticipants, “Have you changed the amount of times you used any of the following courseresources during the past three weeks? For the course resources that have changed, state thereason for the change.” Participants were provided a text box to type a written description oftheir reason(s) for changing resource(s) use.Exam Scores. Participant performance was measured using exam scores provided by theinstructor at the end of the course. Two midterm exams and one final exam were administered inclass by the primary instructor during the 15-week semester (Figure 1). Week 2: Week 4: Week 5: Week 7: Week 8: Survey 1

Conference Session

Chemical Engineering in the Junior and Senior Year

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Jeffrey Stransky, Rowan University; Landon Bassett, University of Connecticut; Daniel D. Anastasio, Rose-Hulman Institute of Technology; Matthew Cooper, North Carolina State University; Daniel D. Burkey, University of Connecticut; Cheryl A Bodnar, Rowan University

Tagged Divisions

Chemical Engineering

apair of dilemmas include Dilemma 2 does the pair have a highly significant relationship; anyother compared pairs were found to be not significant. This result shows that there weresignificantly more Can’t Decide responses to Dilemma 2 as opposed to Option A or B responseswhen compared to other dilemmas in the EPSRI. When seeking to explain why this takes place,we can look at a summary of Dilemma 2’s prompt for insight: The second dilemma in the EPSRI places the students into the position of a plant engineer at a chemical company in the suburbs of a major city. There’s a severe hurricane heading towards the plant, and if the plant floods, there is the possibility of extreme hazardous events such as an explosion. It is

Conference Session

Women in Engineering Division Technical Session 4

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Lisa R. Volpatti, Department of Chemical Engineering, Massachusetts Institute of Technology; Kara Rodby, Department of Chemical Engineering, Massachusetts Institute of Technology; Gurleen Kaur Singh, Massachusetts Institute of Technology; Bianca Kaushal, Massachusetts Institute of Technology ; Kelley Marie Adams, Massachusetts Institute of Technology; Paula T. Hammond, Department of Chemical Engineering, Massachusetts Institute of Technology; Sarah Rankin

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

Colleges, 1982.[7] I.H. Settles, L.M. Cortina, J. Malley, A.J. Stewart, “The climate for women in academic science: The good, the bad, and the changeable,” Psychology of Women Quarterly, 30(1), 2006, 47-58.[8] C.L. Maranto, A.E. Griffin, “The antecedents of a ‘chilly climate’ for women faculty in higher education,” Human Relations, 64(2), 2011, 139-159.[9] L. Howe-Walsh, S. Turnbull, “Barriers to women leaders in academia: Tales from science and technology,” Studies in Higher Education, 41(3), 2016, 415-428.[10] K.N. Miner, S.C. January, K.K. Dray, A.R. Carter-Sowell, “Is it always this cold? Chilly interpersonal climates as a barrier to the well-being of early-career women faculty in STEM,” Equality

Conference Session

Laboratory Courses and Programming in the Aerospace Curriculum

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Waterloo Tsutsui, Purdue University at West Lafayette; Ruben D. Lopez-Parra, Purdue University at West Lafayette (COE); Genisson Silva Coutinho, Instituto Federal de Educação, Ciência e Tecnologia da Bahia; Alberto W. Mello, Embry-Riddle Aeronautical University; Michael David Sangid, Purdue University; Tamara J. Moore, Purdue University at West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Aerospace

theoretical data.In addition to enduring outcomes (Table 2) and the important-to-know topics (Table 3), the labactivities also promote “good-to-be-familiar with” topics as follows: Students are expected tolearn and demonstrate the following topics throughout all six labs: Teamwork, report writing,and communication. If we, for instance, take modeling as an example, being able to modelconstitutes an important and direct predictor of conceptual understanding of often-complicatedengineering topics, such as heat transfer [42]. To sum up on these “good-to-be-familiar with”topics, they are covered in all labs (Labs #1–#6) and will become a part of necessary skills as apracticing engineer in the future no matter what field of engineering s/he choose to

Conference Session

Assessment Strategies in Mechanics

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Keith D. Hjelmstad, Arizona State University; Amie Baisley, University of Florida

Tagged Divisions

Mechanics

0 0 0 0 0 4 4 0 0 0 0 0 4 4 Final 2 4 4 0 4 4 4 0 0 0 0 0 4 0 0 0 Final 3 2 4 4 4 4 4 0 0 0 0 0 4 0 0 4 Final 4 0 4 2 0 0 0 2 2 3 4 4 0 4 0 4 Total 32 32 18 28 24 25 23 15 14 20 21 36 16 12 41 C. Free-body Diagrams. Construct accurate and complete Free-Body Diagram(s) (FBD). Treat distributed forces (e.g., pressure and weight) and point

Conference Session

Approaches to Encouraging Student Engagement

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Panagiotis Apostolellis, University of Virginia; Sitong Wang, University of Cincinnati

Tagged Divisions

Educational Research and Methods

design.AcknowledgementsThe authors would like to thank Rex Hartson and Doug Bowman for their influence in theoriginal course design and guidance throughout. We also express our appreciation to thestudents who contributed to the development of this research study. Finally, many thanks toLindsay Wheeler for her guidance and reviewing of this work.References[1] J. Pirker, M. Riffnaller-Schiefer, and C. Gütl, “Motivational active learning - Engaging university students in computer science education,” in ITICSE 2014 - Proceedings of the 2014 Innovation and Technology in Computer Science Education Conference, 2014, pp. 297–302.[2] B. Simon, S. Esper, L. Porter, and Q. Cutts, “Student experience in a student-centered peer instruction

Conference Session

NSF Grantees: Student Learning 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Kelsey Joy Rodgers, Embry-Riddle Aeronautical University - Daytona Beach; Matthew A. Verleger Ph.D. (He/His/Him), Embry-Riddle Aeronautical University - Daytona Beach; Farshid Marbouti, San Jose State University

Tagged Topics

Diversity, NSF Grantees Poster Session

-91, 2014.[2] A. McKenna, R. Linsenmeier, and M. Glucksberg, "Characterizing computational adaptive expertise," in 2008 ASEE Annual Conference and Exposition, 2008.[3] J. S. Zawojewski, H. A. Diefes-Dux, and K. J. Bowman, Models and modeling in engineering education: Designing experiences for all students. Sense Publishers, 2008.[4] J. M. Wing, "Computationalthinking," in Communications of the ACM, vol. 49, no. 3, p. 33-35. 2006.[5] U. Ilic, H. I. Haseski, and U. Tugtekin, "Publications trends over 10 years of computational thinking research," in Contemporary Education Technology, vol. 9, no. 2, p. 131-153, 2018.[6] R. Lesh and H. M. Doerr (Eds.). Beyond constructivism: Models and modeling

Conference Session

Pre-college Engineering Education Division Technical Session 4

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Katherine Dornian, University of Calgary; Mohammad Moshirpour, University of Calgary; Laleh Behjat P.Eng., University of Calgary

Tagged Divisions

Pre-College Engineering Education

project-based learning, the authors note that the K-12 programsoften fail to deliver comprehensive skills training and practical experiences, which supports ourhypothesis that teaching often focuses on technical expertise. Most courses integrate the teachingof programming with software engineering practices and found that students performed well ingaining conceptual understanding. They made note of an issue that most publications lackedinformation about the objectives, instructional strategy, and methodology for designing thecourse material. The systematic literature review we present here moves beyond the specificcourse design covered by da Cruz Pinheiro et al.’s research and focuses on the intersection ofdigital and engineering skills.Heintz

Conference Session

Faculty Development Medley!

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Jennifer Karlin, Minnesota State University, Mankato; Allison Godwin, Purdue University at West Lafayette (COE)

Tagged Divisions

Faculty Development Division

faculty member’s sphere of influenceand avoid potential pitfalls has proven useful in discussions of the CAREER program broadly. Italso generalizes the main components of successful CAREER proposals rather than focusing onthe particular research and education aspects of a project.Moving Toward “CAREER Ready”While the previous two sections provide useful advice for positioning one’s CAREER proposal,they do not include sign-posts indicating what an individual should be doing or looking for to beready to write a competitive CAREER proposal and, if successful, thrive while completing thepromised work. Recognizing this gap, we developed and honed the 5 “I”s of CAREER readiness.The Five I’s are: Ideas, Integration, Impact, Identity, and Infrastructure

Conference Session

NSF Grantees: Student Learning 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

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

Tagged Topics

NSF Grantees Poster Session

metacognitive skills may help engineeringprograms improve instruction in this area which, in turn, could help students transition moreeffectively into professional practice. 1 D. J. Hacker, Metacognition: Definitions and empirical foundations, in D. J. Hacker, J. Dunlosky and A. C. Graesser (eds), Metacognition in Educational Theory and Practice, Lawrence Erlbaum Associates, New Jersey, pp. 1-23, 1998. 2 A. L. Brown and J. S. DeLoache, Skills, plans, and self-regulation, in R. S. Siegel (ed), Children’s thinking: What develops? Erlbaum, Hillsdale, N.J., pp. 3-35, 1987. 3 J. H. Flavell, Metacognition and cognitive monitoring: A new area of cognitive- developmental inquiry, American Psychologist, 34, pp

Conference Session

Promoting Technical Communication Skills

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Michael Alley, Pennsylvania State University; Joanna K. Garner, Old Dominion University; Kaitlyn Pigeon, Pennsylvania State University

Tagged Divisions

Liberal Education/Engineering & Society

%Purpose of title in a technical document is to describe the document's scope  26  20% Strategy of writing the summary last 22 17%Importance of understanding audience(s) in a technical document 19 15% The same students enrolled in the third-year engineering writing course were surveyed inthe same fashion for the films about writing emails. As shown in Table 2, the top responses forwhat in the films surprised the students the most were as follows: how the first paragraph shouldstate the purpose of the email, expectations for an effective subject line (which parallels theresponse for titles in reports), how to

Conference Session

Assessment of Learning in ECE Courses

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Caroline Crockett, University of Michigan; Cynthia J. Finelli, University of Michigan; Harry Courtney Powell, University of Virginia

Tagged Divisions

Electrical and Computer

5 0.20* Number of hours spent on SS homework in an average week 7.40 -0.28** Instructional quantity Self-reported attendance 63.8% -0.02 Home env. Highest educational status of parent(s)/gaurdian(s) Bachelors 0.21* Classroom env. 5-point scale on if the learning environment was comfortable 4 0.09 Peer group 5-point scale on if peers helped with their understanding 3 and 4 -0.12*significant at p< 0.10, **significant at p< 0.01,Table 2: Correlation between factors in the MoEP [15] and the SSCI post-test score

Conference Session

NSF Grantees: Workforce Development

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Valerie A. Carr, San Jose State University; Morris E. Jones Jr., San Jose State University; Belle Wei, San Jose State University

Tagged Topics

Diversity, NSF Grantees Poster Session

. Sethupathy, “The Age of Analytics: Competing in a Data-Driven World,” McKinsey Global Institute, New York, NY, 2016.[5] S. Olsen and D. G. Riordan, “Engage to excel: Producing one million additional college graduates with degrees in science, technology, engineering, and mathematics,” Executive Office of the President, Washington, DC, 2012.[6] US Bureau of Labor Statistics, “Projections of occupational employment, 2014-24,” Career Outlook, Washington, DC, 2015.[7] Burning Glass Technologies, “The art of employment: How liberal arts graduates can improve their labor market practices,” Boston, MA, 2013.[8] J. Rothwell, “The hidden STEM economy,” Brookings Institute, Washington, DC, 2013.[9

Conference Session

Industrial Engineering Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

James Burns, Western Michigan University; Enas Aref, Western Michigan University; Mohammad Majd, Western Michigan University

Tagged Divisions

Industrial Engineering

some are entirely out of our control from an instructional effectivenessstandpoint. Factors considered to be under our control are semester (SEM), lecture (LEC), andsession (SESSION), as these factors relate to the overall performance of the instructor(s) as awhole (assuming the nature of students in the course is consistent from year to year). Factorsthat are partially under our control are TA, experience (TAEXP), and degree (TADEG). While itis not always possible for the faculty to select each TA, some control is possible, and it is alsoattainable to improve the training and mentoring of TAs. Factors considered to be outside ourcontrol include major (MAJ) and lab attendance (LABATT), average lab score (LABSCORE),and homework score (HWSCORE

Conference Session

NSF Grantees: Workforce Development

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Marcia A. Mardis, Florida State University; Faye R. Jones, Florida State University

Tagged Topics

Diversity, NSF Grantees Poster Session

: 1) Development of a solution based on a well-specified theory of action appropriateto a well-defined end user; 2) Creation of measures to assess the implementation of thesolution(s); 3) Collection of data on the feasibility of implementing the solution(s) in typicaldelivery settings by intended users; and 4) Conducting a pilot study to examine the promise ofgenerating the intended outcomes [22].Theory of ActionHuman capital theory is a theory of investment in human capital, or the abilities and skills,acquired through investment in education and training, of any individual, that enhance potentialincome earning [23]. Human capital models examine how students make cost–benefit analysesand subsequent decisions on whether to attend and persist

Conference Session

ECCD - Technical Session 6 - Energy & Thermodynamics

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Abhijit Nagchaudhuri, University of Maryland, Eastern Shore

Tagged Divisions

Energy Conversion and Conservation

efficiency possible from the powercycle? 1 4 3 2 Figure 3a: T-S diagram for Rankine Cycle Figure 3b: Devices in Rankine Power CycleThe temperature entropy (T-S) diagram and the states at the inlet and outlet of the devices areshown in Figures 3a and 3b. For maximum efficiency it can be surmised the power plant willoperate under a Rankine cycle with an isentropic turbine and pump. Ignoring the kinetic and Figure 4a: State Panel (Given P = 2MPa and T=400oC determines all other properties)potential energy effects, the efficiency can be determined using Equation (1) with the enthalpiesat all the states: (ℎ1−ℎ2)−(ℎ4−ℎ3) 𝑛

Conference Session

Research! Research! Research! in Faculty Development

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Nicole McIntyre, University of California, Berkeley; Catherine T. Amelink, Virginia Polytechnic Institute and State University; Jeffrey Bokor, University of California

Tagged Topics

Diversity

Tagged Divisions

Faculty Development Division

theirintern(s). For example, they had to actively encourage confused interns to ask questions.Similarly, the mentors learned that the interns were not always willing to admit when they didnot understand new material. I learned that I should encourage students I am working with to ask more questions earlier on and that I should be more active in confirming that my explanations are adequate. I can do this by asking the student to write in words what I have asked them to do or to show me after they do the first step. I learned that even when a student says they understand and gives a one sentence summary it does not necessarily mean that they understand. I have learned to think from the student side and make

Conference Session

Curriculum Development in Technological Literacy

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

R. Alan Cheville, Bucknell University; John Heywood, Trinity College Dublin

Tagged Topics

Diversity

Tagged Divisions

Technological and Engineering Literacy/Philosophy of Engineering

viewof ethics, where the engineer is strongly coupled to the system they affect through their work,provides the opportunity for more meaningful feedback through narrative construction [39]; atopic that will be addressed in future work.Bibliography[1] W. R. Bowen, Engineering Ethics: Outline of an Aspirational Approach. London: Springer-Verlag, 2009.[2] K. Rayne, T. Martin, S. Brophy, N. Kemp, J. D. Hart, and K. R. Diller, “The Development of adaptive expertise in biomedical engineering ethics,” J. Eng. Educ., vol. 95, pp. 165–174, 2006.[3] W. Carpenter, “Teaching Ethics To Engineers,” in American Society for Engineering Education Annual Conference, 2004, p. 13862.[4] M. A. Selby, “Assessing Engineering Ethics Training

Conference Session

Capstone, Undergraduate Research, and Projects in ECE

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Joel C. Adams, Calvin University; Noah Pirrotta, Medallion Instrumentation Systems; Mark Michmerhuizen, Calvin University; Philip M. Holmes, Mayo Clinic Graduate School of Biomedical Sciences; Peter Oostema, Carnegie Mellon University; Benjamin Kastner, Churchill Navigation

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer

, Power system Author 6 Mechanical Engr. student Liquid cooling systemTable 3: Team CrayowulfFor SBCs, the team chose the Nvidia Jetson TX-2 because each board has a six-core 2-GHzARMv8 64-bit CPU complex, a 1.3-GHz 256-core GPU, and 8 GB of memory. The TX-2’s GPUprovides vector-like SIMD processing, and the vast majority of the current top ten supercomputersin the world are powered by GPUs [20].In October, the team got to work, with Author 6 researching liquid cooling systems and how onemight be designed for the Nvidia Jetson TX-2 SBCs, Author 5 researching post-quantumencryption algorithms and how they might be implemented on a cluster, Author 3 researching thehardware to be purchased, as well as Beowulf cluster system

Conference Session

First-year Programs: Student Perceptions and Perspectives

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Ordel Brown, Northwestern University; Susanna C. Calkins, Northwestern University; Lisa M. Davidson, Northwestern University

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

practice. Then, transfer that knowledge and experience to the final steps in theprocess, when they are fully immersed abroad.The guided CIAs are individual writing, out-of-class assignments that are followed by in-classdiscussions on the significance of the analyses. The papers are structured around the threequestions [24] given below for CIA #1:1. What? – A brief description of: o the most salient emotion(s) experienced so far in your attempt to contextualize and define the design problem o the incident, encounter or activity that evoked the emotion(s)2. So What? o How has the experience impacted your assumptions, expectations and perspectives of the co-learners or design process?3. Now What? o What specific

Conference Session

Collaboration and Communication in Problem-based Learning

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Xiang Zhao, Alabama A&M University; Showkat Chowdhury, Alabama A&M University; Tamara Chowdhury, Alabama A&M University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

, dissemination of the resultsof this work is expected to provide a model for institutional implementation of evidence-basedpractices at colleges or universities of similar size and/or student body demographics as AAMU,a land-granted minority serving university.AcknowledgmentThis study has been supported by the S-STEM program of National Science Foundation (NSF)and MSEIP program of Department of Education (DOEd). The authors greatly appreciate thesupport and encouragement from the NSF and DOEd program officers and university colleagues.References 1. Chang, M. J., Cerna, O., Han, J., & Sáenz, V. The contradictory roles of institutional status in retaining underrepresented minorities in biomedical and behavioral science majors. The Review of

Conference Session

Instructional technologies - Simulations, VR, Remote Education

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Irina Nicoleta Ciobanescu Husanu, Drexel University; Kevin Frank, Drexel University; Ayanna Elise Gardner, Drexel University; Richard Chiou, Drexel University

Tagged Divisions

Manufacturing

immersive virtual reality to a science lab simulation causes more presence but less learning. Learning and Instruction, 2019. 60: p. 225-236.6. Huang, H.-M., U. Rauch, and S.-S. Liaw, Investigating learners’ attitudes toward virtual reality learning environments: Based on a constructivist approach. Computers & Education, 2010. 55(3): p. 1171-1182.7. Lee, E.A.-L. and K.W. Wong, Learning with desktop virtual reality: Low spatial ability learners are more positively affected. Computers & Education, 2014. 79: p. 49-58.8. Felder, R.M., and R. Brent,, Designing and Teaching Courses to Satisfy the ABET Engineering Criteria. Journal of Engineering Education, 2003. 92(1): p. 7-25.9

Conference Session

First-year Programs: Student Perceptions and Perspectives

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Matthew B. James, Virginia Tech; Homero Murzi, Virginia Tech; Jason Forsyth, James Madison University; Lilianny Virguez, University of Florida; Pamela L. Dickrell, University of Florida

Tagged Divisions

First-Year Programs

. Anderson, “On the development of a professional identity: Engineering persisters vs engineering switchers,” in 2009 39th IEEE Frontiers in Education Conference, 2009, pp. 1–6.[5] K. L. Meyers, M. W. Ohland, A. L. Pawley, S. E. Silliman, and K. A. Smith, “Factors relating to engineering identity,” Global Journal of Engineering Education, vol. 14, no. 1, pp. 119–131, 2012.[6] J. A. Rohde, L. Benson, G. Potvin, A. Kirn, and A. Godwin, “You Either Have It or You Don’t: First Year Engineering Students’ Experiences of Belongingness,” presented at the 2018 ASEE Annual Conference & Exposition, Jun. 2018, Accessed: Feb. 02, 2020. [Online]. Available: https://peer.asee.org/you-either-have-it-or-you-don-t-first-year-engineering

Conference Session

Biological and Agricultural Engineering Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Erin Ingram, University of Nebraska, Lincoln; Jennifer Keshwani, University of Nebraska, Lincoln; Tammera J. Mittelstet, University of Nebraska, Lincoln; Julie Thomas, University of Nebraska, Lincoln

Tagged Topics

Diversity

Tagged Divisions

Biological and Agricultural Engineering

generation science standards: For states, by states. National Academies Press, 2013.[4] “NGSS Hub.” [Online]. Available: https://ngss.nsta.org/About.aspx. [Accessed: 08-Oct-2019].[5] E. R. Banilower, P. S. Smith, K. A. Malzahn, C. L. Plumley, E. M. Gordon, and M. L. Hayes, “Report of the 2018 National Survey of Science and Mathematics Education,” Horizon Research, Inc., Chapel Hill, NC, Dec. 2018.[6] Afterschool Alliance, “The Growing Importance of Afterschool in Rural Communities,” Afterschool Alliance, Washington DC, USA, Mar. 2016.[7] E. R. Banilower, P. S. Smith, I. R. Weiss, K. A. Malzahn, K. M. Campbell, and A. M. Weis, “Report of the 2012 National Survey of Science And Mathematics Education,” p. 311, 2013.[8] R. Hammack