Conference Session

Instrumentation Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Peter Mark Jansson, Bucknell University; Peter Sawirs Kaladius, Bucknell University

Tagged Topics

Diversity

Tagged Divisions

Instrumentation

Undergraduate Engineering Students Enhance Novel Instrumentation to Detect the Mach Effect Peter Mark Jansson PE PhD and Peter S. Kaladius Bucknell UniversityAbstract – Undergraduate electrical engineers performing summer research have enhanced thereal-time data collection system of one of their professor’s novel detectors to uncover someremarkable results. Over the past two summers at Bucknell University students in engineeringhave been working on an innovative detector that has repeatedly produced results indicative of areal Machian like reaction force to inertia. Each summer (2018 and 2019) multiple studentscontinued to make electrical enhancements and

Conference Session

Pre-college Engineering Education Division Technical Session 18

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Arif Sirinterlikci, Robert Morris University; John M. Mativo, University of Georgia; Johnny Thien Pham, Robert Morris University

Tagged Divisions

Pre-College Engineering Education

of GIS Virtual Learning Environments for Interactive Visualization Using Desktop Virtual Reality (VR) & iSpace”, in ASEE Annual Conference and Exhibition, New Orleans, LA, USA, June 25-29, 2016.[4] F. Castronovo, S. Yilmaz, A. Rao, W. Condori Jr, K. Monga, H. Gooranorimi, “Board 63: Development of a Virtual Reality Educational Game for Waste Management: Attack of the Recyclops’, in ASEE Annual Conference and Exhibition, Salt Lake City, UT, USA, June 23-27, 2018.[5] F. Castronovo, D. Nikolic, S. Mastrolembo, V. Hroff, A. Nguyen, H.P. Nguyen, S. Yilmaz, R. Akhavian, C. Gaedicke, “Design and Development of a Virtual Reality Educational Game for Architectural and Construction Reviews”, in ASEE Annual Conference and

Conference Session

First-Year Programs: Design in the First Year

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Djedjiga Belfadel, Fairfield University; Michael Zabinski, Fairfield University; Ryan Munden, Fairfield University

Tagged Divisions

First-Year Programs

, A.E. Geller, and N. Lerner, The Meaningful Writing Project. Logan, UT: UtahState Univ. Press, 2017. 8[10] J. Kellar, W. Hovey, M. Langerman, S. Howard, L. Simonson, L. Kjerengtroen, L. Sttler, H.Heilhecker, L. Ameson-Meyer, and S. Kellogg, “A problem-based learning approach forfreshman engineering,” in 30th Annual Frontiers in Education Conference (FIE), Feb. 2000.[11] H. Lei, F. Ganjeizadeh, D. Nordmeyer, and J. Phung, “Student learning trends in afreshman-level introductory engineering course,” in 2017 IEEE Global Engineering EducationConference (EDUCON), April 2017, pp. 152–156.[12] L. A. Meadows, R. Fowler, and E. S. Hildinger, “Empowering students with choice in thefirst year,” in 2012

Conference Session

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

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Woo J. Kim, Miami University; Brielle Nikole Johnson, Miami University; Jennifer Blue, Miami University; Amy Summerville, Miami University; Brian P. Kirkmeyer, Miami University

Tagged Divisions

First-Year Programs

] J.J. Kosovich, J.K. Flake, and C.S. Hulleman, “Short-term motivation trajectories: A parallel process model of expectancy-value,” Contemporary Educational Psychology, vol. 49, pp. 130-139, 2017. [2] E. Seymour and N.M. Hewitt, Talking about leaving: Why undergraduates leave the sciences. Boulder, CO: Westview Press, 1997. [3] S. Beecham, N. Baddoo, T. Hall, H. Robinson, and H. Sharp, “Motivation in Software Engineering: A systematic literature review,” Information and Software Technology, vol. 50, nos. 9-10, pp. 860-878, 2008. [4] E.S. Elliott and C.S. Dweck, “Goals: An approach to motivation and achievement,” Journal of Personality and Social Psychology, vol. 54, no. 1, pp. 5-12, 1988. [5] R.J. Vallerand, L.G. Pelletier

Conference Session

Multidisciplinary Learning Experiences

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Haolin Zhu, Arizona State University; Amy Trowbridge, Arizona State University; Jill L. Roter, Arizona State University

Tagged Topics

Diversity

Tagged Divisions

Multidisciplinary Engineering

initiative is the first, and currently the only one of its kind,which makes college credit available at scale, worldwide. It also provides a pathway toadmission to the university for students who may not otherwise qualify. The MOOC explores theNational Academy of Engineering (NAE)’s Grand Challenges for Engineering and related globalchallenges. This course, based on an on-ground counterpart offered at ASU, is designed to alsohelp students develop the necessary interdisciplinary systems perspective and entrepreneurialmindset to solve the complex global challenges presented. This course fuses engineering with thesocial sciences, asking students to explore the interactions between society and technology,including the influences of human behavior

Conference Session

Concept Inventories in Mechanics

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Carisa H. Ramming, Oklahoma State University; Christopher Papadopoulos, University of Puerto Rico, Mayaguez Campus; Eric Davishahl, Whatcom Community College; Brian P. Self, California Polytechnic State University, San Luis Obispo; Sinéad C. MacNamara, Syracuse University; Meredith Silberstein, Cornell University; Joan V. Dannenhoffer P.E., Syracuse University

Tagged Topics

Diversity

Tagged Divisions

Mechanics

surveyed on their perception of the effectiveness of the CW. Cohort 1was polled as the course was ending while Cohorts 2 and 3 were emailed a survey link at thebeginning of the following semester. Cohort 1 had a 100% response rate with all 14 studentswhile Cohorts 2 and 3 were emailed a survey link that yielded 116 responses, 34% of theenrollment. Cohort 1 responded to a prompt that included all teaching exercises utilized by theinstructor while Cohorts 2 and 3 responded to the following prompt which asks about the CWspecifically. Tables 2 and 3 chart the breakdown of the responses. Table 2 is a reflection ofCohort 1’s response to the CW, specifically with a rating of 4.1/5.0. Cohorts 2 and 3 were notpolled separately and are shown combined in

Conference Session

Technical Courses and Liberal Education

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Dianne Grayce Hendricks, University of Washington

Tagged Divisions

Liberal Education/Engineering & Society

Communication Program at the University ofWashington, including: Tina Loucks-Jaret, Lisa Owen, Kate Mobrand, Mary-Colleen Jenkins,Chris Wrenn, Tamara Neely, and Kevin Shi.References 1. Ambrose, S. A. (2013). Undergraduate engineering curriculum: The ultimate design challenge. The Bridge: Linking Engineering and Society, 43(2). 2. Ambrose, S. A., Bridges, M. W., DiPietro, M., Lovett, M. C., & Norman, M. K. (2010). How Learning Works. San Francisco, CA: Jossey-Bass. 3. Kaplan, M., Silver, N., LaVaque-Manty, D., & Meizlish, D. (Eds.). (2013). Using Metacognition and Reflection to Improve Student Learning. Sterling, VA: Stylus Publishing. 4. National Research Council (NRC). (2000). How People Learn: Brain, Mind

Conference Session

Preparation for Graduate Research

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Stephanie Cutler, Pennsylvania State University; Yu Xia, Pennsylvania State University; Cliff J. Lissenden, Pennsylvania State University; Francesco Costanzo, Pennsylvania State University; Bruce Gluckman, Pennsylvania State University; Thomas A. Litzinger, Pennsylvania State University

Tagged Divisions

Graduate Studies

transition to independent research, Studies in Higher Education, 30:2, 137-154.[4] Gardner, S. K. (2010). Contrasting the socialization experiences of doctoral students in high- and low-completing departments: A qualitative analysis of disciplinary contexts at one institution. The Journal of Higher Education, 81(1), 61-81.[5] Gardner, S. K. (2008). “What's too much and what's too little?”: The process of becoming an independent researcher in doctoral education. The Journal of Higher Education, 79(3), 326-350.[6] Lovitts, B. E. (2008). The transition to independent research: Who makes it, who doesn't, and why. The journal of higher education, 79(3), 296-325.[7] A document preparation system. (n.d.). Retrieved

Conference Session

Computing and Information Technology Division Technical Session 4

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Lina Battestilli, North Carolina State University; Sarah Korkes, North Carolina State University

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology

examine these changes on student performance as well, and a morein-depth analysis with an automated tool needs to be conducted on how student code quality isimpacted. Also, future studies could look at developing methods to better enforce code qualityand good style practices in short exercises. In addition, future studies should confirm the Bloom’sTaxonomy level of CS exercises before their use, and perhaps they should even aim to work withother instructors to create a bank of CS exercises and come to a consensus on how to map CStopics to BT.References [1] S. Zweben and B. Bizot. The taulbee survey. Computing Research Association, 2018. URL https://cra.org/resources/taulbee-survey/. [2] Vincenzo Del Fatto, Gabriella Dodero, Rosella Gennari

Conference Session

Assessment Strategies in Mechanics

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Geoffrey Recktenwald, Michigan State University; Tamara Bush, Michigan State University; Ron Averill, Michigan State University

Tagged Divisions

Mechanics

easy to follow solution process, Meets including required diagrams and figures Minimum Competency Incorrect answer due to one or two minor II 80% errors but supported by a correct solution process as described in Level I Does Not Meet Minimum III 0% Incorrect answer due to conceptual error(s) CompetencyBecause no points are awarded for answers that are “conceptually wrong”, students do notreceive credit for memorizing and writing out the solution to a similar problem they have solved.Points are only given for correct answers with correct support

Conference Session

Experimentation and Laboratory-oriented Studies Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Ahmet Can Sabuncu, Worcester Polytechnic Institute; John M. Sullivan Jr., Worcester Polytechnic Institute

Tagged Divisions

Experimentation and Laboratory-Oriented Studies

disciplinesincluding everyday life, not just mechanical engineering. Several temperature measurementsensors are introduced including, resistance temperature detectors (RTDs), thermistors, infraredtemperature sensors, thermocouples, and silicon bandgap sensors. Their application ranges,costs, accuracies and durability are discussed. This affords the students the opportunity todevelop a trade space analysis to select the appropriate sensor(s) for the experiments presented.Understanding trade space analyses generalize to other sensors and more globally for the studentto product design in real-world situations. The students select a minimum of two experimentspresented, each with a different sensor for the measurement of temperature.The learning objectives of this

Conference Session

NSF Grantees: Learning Tools (Virtual)

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Ying Tang, Rowan University; Ryan Hare, Rowan University

Tagged Topics

Diversity, NSF Grantees Poster Session

, which constantly collect data s thestudent plays the game. At several points within the game, the system adjusts the content to fit thestudent’s areas of difficulty. The game also offers support or prompts to encourage progresswithin the game. While the overarching problem is the same for every student, the path they taketo reach the solution will vary drastically.The proposed PING system combines techniques of statistical inference, cognitive psychology,education research, sensor informatics, and machine learning techniques to provide students apersonalized education process. The contextual problem-solving situation engages students,giving them incentives to succeed in their learning process while allowing them to both beentertained and move

Conference Session

Capstone, Undergraduate Research, and Projects in ECE

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Ying Lin, Western Washington University; Steve Sandelin

Tagged Divisions

Electrical and Computer

MATH 204 (Elementary Linear Algebra) EE111 (Circuit Analysis I) Textbook “Electric Circuits”, Nilsson J.W., Riedel S., Prentice Hall # of Credits 4 Schedules 10 weeks with 3 hours of lecture and 2 hours of lab per weekTable 3: Course Information of EE210 Circuit Analysis II Desire Learning Outcomes of EE210 Circuit Analysis II 1. Analyze RL, RC, and RLC switching circuits with DC sources 2. Understand and competent in analyzing simple AC circuits using complex numbers, reactance, impedance, and phasors. 3. Understand the concepts involved with power in AC circuits. 4. Be able to design and analyze AC RLC circuits. 5. Understand the concepts of frequency response

Conference Session

High-impact Learning Practices

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Aaron T. Hill Jr., United States Military Academy; Kevin P. Arnett P.E., United States Military Academy; Cosme Alejandro Lopez Jr.; James Anthony Baglino, United States Military Academy ; Nicholas Perovich, United States Military Academy; Adriel Evan Moran, United States Military Academy; Adam Thomas Hebert, United States Military Academy; Anthony Bradley, United States Military Academy

Tagged Topics

Diversity

Tagged Divisions

Civil Engineering

Paper ID #29558Analyzing the Effectiveness of Competition and Interdisciplinary Teamsin Student LearningCol. Aaron T. Hill Jr., United States Military Academy Colonel Aaron Hill is an Assistant Professor and Design Group Director in the Department of Civil & Mechanical Engineering at the United States Military Academy, West Point, New York. He holds a Bachelor of Science degree from West Point, a Master of Science degree in Engineering Management from Missouri S&T, a Master of Science degree in Civil Engineering from Virginia Tech, and a PhD in Civil Engineering from The University of Texas at Austin. Aaron has

Conference Session

Women in Engineering Division Technical Session 7

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Cynthia Lester, Georgia State University; Sahithya Reddivari, Georgia State University; Forough Ansari, Georgia State University

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

=growth+mindset&ccag=growth+mindset&cckw=%2Bgrowth%20%2Bmindset&cccv=content+ad&gclid=Cj0KEQiAnvfDBRCXrabLl6-6t-0BEiQAW4SRUM7nekFnoTxc675qBMSJycFgwERohguZWVmNDcSUg5gaAk3I8P8HAQ [Access January 15, 2020].[3] USG Facts. https://www.usg.edu/news/usgfacts [Accessed January 15, 2020].[4] What is a Momentum Year? https://completega.org/sites/default/files/resources/Momentum_Year_Overview_2019.pdf [Accessed January 26, 2020].[5] B. L. Yoder, “Engineering by the Numbers” https://www.asee.org/papers-and-publications/publications/college-profiles/15EngineeringbytheNumbersPart1.pdf. [AccessedJanuary 15, 2020].[6] P. Meiksins, P. Layne, K. Beddoes, B. Acton, M. Lewis, M, A. S. Masters, and M.Roediger, “Women in Engineering: A Review of the

Conference Session

Pre-college Engineering Education Division Technical Session 19

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Abhidipta Mallik, New York University Tandon School of Engineering; Pooneh Sabouri, New York University Tandon School of Engineering; Shramana Ghosh, New York University Tandon School of Engineering; Vikram Kapila, New York University Tandon School of Engineering

Tagged Divisions

Pre-College Engineering Education

of wheels, and 3D printing [26] Entrepreneurship: business planning, business model canvas [27], product development process, market analysis, product market matrix [28], Porter’s 5 forces [29], technology S- curve [30], venture capital, crowd funding, grants, social entrepreneurship, and managing intellectual propertyCorresponding to each lesson on fundamental concepts, participants worked on hands-on learningtasks in teams. VEX Robotics Clawbot kit [31] and Arduino UNO microcontroller [32] were usedfor building the chassis of the robot and the microcontroller circuitry of the robot, respectively.The research team introduced participants to operating principles, electrical schematic, coding, andmicrocontroller interfacing of

Conference Session

Mathematics Division Technical Session 4: Assessing Success in Mathematics Education

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Danielle Marie Fredette, Cedarville University

Tagged Topics

Diversity

Tagged Divisions

Mathematics

statistic values calculated using the formula x¯ − µ0 s= √ , σ/ nwhere x¯ is the sample mean for the group, µ0 is the population mean, σ is the population standarddeviation, and n is the number of samples in the group. So, for example, in the case of thecalculus readiness test scores of incoming engineering students, √ s = (17.14 − 17.44)/(4.63/ 278) = −1.07 > −1.96,therefore the hypothesis is accepted. By similar analysis, in each case (save one) ofhomeschooled students’ test scores (both for incoming and graduated students), the

Conference Session

Improving and Understanding Engineering Collections and Publication

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Angela Henshilwood, University of Toronto; Cristina Sewerin, University of Toronto; Michelle Spence, University of Toronto; Mindy Thuna, University of Toronto; Tracy Zahradnik, University of Toronto

Tagged Divisions

Engineering Libraries

Competencies for Science and Technology Libraries,” Sci. Tech. Libr. vol. 28, no. 1-2, pp. 11-22, August 2008, doi: 10.1080/01942620802096788[8] D. L. Roberts, “Mentoring in the Academic Library,” Coll. Res. Libr. News, vol. 47, no. 2, February 1986. Retrieved from: https://crln.acrl.org/index.php/crlnews/article/view/21417/26685[9] M. F. Casserly and J. L. Hegg. “A study of collection development personnel training and evaluation in academic libraries,” Libr. Acquis. Pract. Th., vol. 17, no.3, pp.242-262, Autumn 1993, doi: 10.1016/0364-6408(93)90069-I[10] S. L. Fales, Ed., Guide for Training Collection Development Librarians, no. 8. Chicago: ALA, 1996.[11] E. Forte et al., "Developing a training program

Conference Session

Engineering Design Graphics Division Technical Session 4

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Eric Leonhardt, Western Washington University

Tagged Divisions

Engineering Design Graphics

Measurementtarget a 100 m/s flow rate at the valve seat opening. Asthe port transitions from a round opening to a rectangularopening at the end of the centerline arc, the port crosssection may grow to 115% of the valve seat opening area.At some point along the straight portion of the portcenterline, the port area decreases down to the 100% areavalue. At the port opening on the intake manifoldinterface, the port cross section area is dropped to 90% of Figure 16. Port Cross Sectionsthe valve seat opening area. The exact position of the Featuring Coupling Between115% area and 100% areas are to be confirmed by

Conference Session

Community Engagement Division Technical Session 4

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Maija A Benitz, Roger Williams University; Li-Ling Yang, Roger Williams University

Tagged Topics

Diversity

Tagged Divisions

Community Engagement Division

. Finally, we plan to incorporate more individual reflection activities before, during,and after the project to enhance students’ growth and self-evaluation.AcknowledgmentsThe authors would like to acknowledge their research assistants for their work on this project; TessAlexandre, Kristen Brien, Barry Dunn, Olivia Ryan, and Nathan Wilson. This work was supportedby grants from the Hassenfeld Community Projects fund and the RWU Foundation to PromoteScholarship & Teaching, as well as a gift from TPI Composites in Warren, RI.References1. B. Jacoby and Associates (1997) Service Learning in Higher Education. San Francisco, CA: Jossey-Bass, 1997.2. G. Bucks, W. Oakes, C. Zoltowski, F. Rego, and S. Mah. “Facilitating Multidisciplinary Teams in a

Conference Session

Computers in Education Division Technical Session 4: Digital Learning Part II

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Robert L. Avanzato, Pennsylvania State University, Abington

Tagged Divisions

Computers in Education

educators to developadditional resources for MATLAB and ROS programming of low-cost robot manipulators thatare effective in the classroom and laboratory. These results also have significance to theintroduction of modern robotics concepts, including industrial robots and intelligentmanufacturing, into lower division engineering courses, K-12 and STEM activities.7.0 References[1] https://www.ros.org/ [Accessed April 26, 2020][2] S. A. Wilkerson, J. Forsyth, C. Sperbeck, M. Jones, and P. D. Lynn, “A Student Project using RoboticOperating System (ROS) for Undergraduate Research,” 2017 ASEE Annual Conference & Exposition,Columbus, Ohio, June 2017. Available: https://peer.asee.org/27515 [Accessed April 26, 2020][3] A. Yousuf, W. Lehman, M. A. Mustafa

Conference Session

Computers in Education Division Technical Session 6: Computer Science Freshman Courses

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Tamaike Brown, State University of New York at Oswego; Gursimran Singh Walia, Georgia Southern University; Alex David Radermacher, North Dakota State University; Maninder Singh, St. Cloud State University; Mourya Reddy Narasareddygari, Rider University

Tagged Divisions

Computers in Education

Paper ID #30621Effectiveness of Using Guided Peer Code Review to Support Learning ofProgramming Concepts in CS2 Course: A Pilot StudyDr. Tamaike Brown, State University of New York at Oswego Assistant Professor of Computer Science, Department of Computer Science, State University of New York at OswegoDr. Gursimran Singh Walia, Georgia Southern University Gursimran S. Walia is Professor of Computer Science at Georgia Southern University. His main research interests include empirical software engineering, software engineering education, human factors in soft- ware engineering, and software quality. He is a member of the IEEE

Conference Session

Alternative Methods of Teaching and Learning Mechanics

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Jillian Schmidt, Missouri University of Science and Technology; Nicolas Ali Libre, Missouri University of Science and Technology

Tagged Divisions

Mechanics

, is an assistant teaching professor of Civil Engineering at Missouri University of Science and Technology. He received his BS (2001), MS (2003) and PhD (2009) in civil engineer- ing with emphasis in structural engineering, from University of Tehran, Iran. His research interests and experiences are in the field of computational mechanics, cement-based composite materials as well as in- novative teaching techniques. Dr. Libre is the manager of Materials Testing lab at Missouri S&T, teaches mechanics of materials and develops digital educational resources for the engineering students. He had the opportunity of leading several scientific and industrial research projects and mentoring graduate and undergraduate

Conference Session

New Engineering Educators 2: Success In and Out of the Classroom

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

David Gau, University of Pittsburgh; Deanna Christine Easley Sinex, University of Pittsburgh; Mary E. Besterfield-Sacre, University of Pittsburgh; Steven Abramowitch, University of Pittsburgh; Sylvanus N. Wosu, University of Pittsburgh

Tagged Topics

Diversity

Tagged Divisions

New Engineering Educators

Department tours and participant research presentations 3:30 - 4:30 pm Return to hotel 5:00 - 6:30 pm Networking dinner and distinguished speaker 6:30 - 7:30 pm Panel discussion with newly recruited faculty members Day 2 8:00 - 8:30 am Breakfast 8:30 - 9:30 am Interactive session with program host(s) 9:30 - 11:30 am Campus tour 11:30 am DepartureAssessment MethodsAt the completion of the program, attendees completed a post

Conference Session

Star Tech: Bringing Data Science and Technologies into the Classroom

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Mary Kay Camarillo P.E., University of the Pacific; Elizabeth Basha, University of the Pacific; Muhammad Saud Khan, University of the Pacific

Tagged Topics

Diversity

Tagged Divisions

Civil Engineering

. Sturgill, A. Kirk, and G. B. Dadi, "Estimating earthwork volumes through use of unmanned aerial systems," Transportation Research Record, pp. 1-8, 2017.[5] S. Siebert and J. Teizer, "Mobile 3D mapping for surveying earthwork projects using an Unmanned Aerial Vehicle (UAV) system," Automation in Construction, vol. 41, pp. 1- 14, May 2014.[6] R. E. Pereira, S. Zhou, and M. Gheisari, "Integrating the use of UAVs and photogrammetry into a construction management course: Lessons learned," presented at the 35th International Symposium on Automation and Robotics in Construction (ISARC 2018), 2018.[7] J. B. Sharma and D. Hulsey, "Integrating the UAS in Undergraduate Teaching and Research

Conference Session

Data-informed Approaches to Understanding Student Experiences and Outcomes

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

John Chen, California Polytechnic State University, San Luis Obispo; Jenna Michelle Landy, California Polytechnic State University, San Luis Obispo; Matthew Scheidt, Purdue University, West Lafayette; Justin Charles Major, Purdue University, West Lafayette; Julianna Ge, Purdue University, West Lafayette; Camaryn Elizabeth Chambers, California Polytechnic State University, San Luis Obispo; Christina Grigorian; Michelle Kerfs, California Polytechnic State University, San Luis Obispo; Edward J. Berger, Purdue University, West Lafayette; Allison Godwin, Purdue University, West Lafayette; Brian P. Self, California Polytechnic State University, San Luis Obispo; James M. Widmann, California Polytechnic State University, San Luis Obispo

Tagged Divisions

Educational Research and Methods

declinein Cluster 3’s cumulative GPA (Fig. 2(b)).Research Question 3: Does retention vary across clusters? To test this research question, we examined three models for retention. Major retention, R1,is whether a student has switched their major since admission. This represents the university’sofficial recognition of a change of major. Engineering retention, R2, is whether a student hasswitched from their engineering major since admission but is still attending University A in anon-engineering major. Finally, university retention, R3, is whether a student is a current studentor not at the university as a whole. A chi-squared test for equal proportions was used to compareeach retention rate across clusters. We compare p-values of these tests to

Conference Session

Reimagining Engineering Ethics

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Yousef Jalali, Virginia Tech ; Scott A. Civjan, University of Massachusetts Amherst

Tagged Topics

Diversity

Tagged Divisions

Engineering Ethics

the importance of imaginal capacity in the understanding and transformation ofreality (Anzaldúa, 2015; Freire, 2005; Marcuse, 1969; Scarry, 1985). Similar to the qualityillustrated by Royce, imagination here is not a tool for creativity or fantasizing a situation orindividual(s). The reason we build on liberatory perspectives as complementary to whatdiscussed by Royce and Buber is that these frameworks urge attention to broad social andpolitical structures that may influence our ethical reasoning and decision-making, in explicit orimplicit manners. Such factors may play a significant role at the institutional level when we thinkabout the culture of engineering practice and its conventional norms and structures and in generalthe role each

Conference Session

Mechanical Engineering Technical Session: The Art of Education

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Nelson Fumo, University of Texas at Tyler

Tagged Divisions

Mechanical Engineering

of application of the approach. Semester Course Project Phase Fall Lab Course 1 Sensor(s) Spring Lab Course 2 Measurement system Fall/Spring Capstone 1 and 2 Prototype Fig. 1 Distribution of Intellectual Effort.It is important to point out that the Lab Course 1 is a prerequisite of the Lab Course 2, and theLab Course 2 is a prerequisite of the Capstone 1 course. Therefore, the sequence of coursesimposes a constrain to the approach for those students that miss one of the courses in thesequence for

Conference Session

Innovating Ethics Curriculum and Instruction

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Rob Sleezer, Minnesota State University, Mankato; Rebecca A. Bates, Minnesota State University, Mankato

Tagged Divisions

Engineering Ethics

context ofan integrated, project-based learning program for upper-division students. Using a commonscience fiction read as a case study for learning ethics in an engineering context has strongpedagogical value. The exercise is both morally sound and engaging. The student engineersparticipating in the experience effectively extracted, discussed, and reflected on ethical themesfrom the reading. Most importantly, they connected their ethical learning in this context to realworld applications.References[1] A. Segall, “Science fiction in engineering instruction: to boldly go where no educator has gone before,” in ASEE Annual Conference, Montreal, Quebec, Canada, 2002, pp. 7.993.1- 7.993.8.[2] L. Dubeck, M. Bruce, J. Schmucker, S. Moshier, and J

Conference Session

First-Year Programs: Metacognition, Self-Efficacy, and Motivation #1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Cara Mawson, Rowan University; Cheryl A. Bodnar, Rowan University; Scott Duplicate Streiner, Rowan University

Tagged Divisions

First-Year Programs

Improvement. Alexandria, VA. Assoc. for Supervision and Curriculum Dev., 2002.[8] B. S. Bloom, Human characteristics and school learning. New York, NY, US: McGraw-Hill,1976.[9] J. Moore, “Mastery grading of engineering homework assignments,” Proc. - Front. Educ.Conf. FIE, November, 2016.[10] Gutmann, G. Gladding, M. Lundsgaard, and T. Stelzer, “Mastery-style homework exercisesin introductory physics courses: Implementation matters,” Phys. Rev. Phys. Educ. Res., vol. 14,no. 1,, 2018.[11] S. M. Williams and B. P. Newberry, “First-year experiences implementing minimumself-paced mastery in a freshman engineering problem-solving course,” ASEE Annu. Conf.Proc., 1998.[12] S. Sangelkar, O. M. Ashour, R. L. Warley, and O. Onipede Jr., “Mastery learning