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Conference Session
Faculty Development Division Poster Session
Collection
2022 ASEE Annual Conference & Exposition
Authors
Secil Akinci-Ceylan, Iowa State University of Science and Technology; Rocio Chavela Guerra, Rowan University; Stephanie Farrell, Rowan University
+ courses in the analysis and broaden our study toother platforms beyond Coursera, as well as examining webinars and workshops on related topics.AcknowledgementsThis material is based upon Non-Academic Research Internship supported by the National ScienceFoundation under Grant No. 1712195/2013144 and work supported by the National ScienceFoundation under Grant No. EEC-1748499. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.References[1] Dyer, J., Townsend, A., Kanani, S., Matthews, P., Palermo, A., Farley, S., & Thorley, C. (2019). Exploring the workplace for LGBT+ Physical Scientists.[2] Cech, E. A
Conference Session
NSF Grantees Poster Session
Collection
2022 ASEE Annual Conference & Exposition
Authors
Farzad Ferdowsi, University of Louisiana at Lafayette; Heather Stone, University of Louisiana at Lafayette; G. H. Massiha, University of Louisiana at Lafayette; Terrence Chambers, University of Louisiana at Lafayette; Mehdi Mokhtari, University of Louisiana at Lafayette; Afef Fekih, University of Louisiana at Lafayette
an Evidence-based Practice. The research describes the current status of theaffirmative sustainable support for scholars in energy technologies (ASSSET) program andexplores its potential impact on the graduate and retention of engineering students. This NSF S-STEM funded project provides scholarships and educational support to low-income,academically talented students entering and pursuing engineering studies at the University ofLouisiana at Lafayette. Its main objective is to increase the retention and graduation in fieldsrelated to energy technology. It supports students in the chemical, civil, electrical, mechanical,industrial technology and petroleum engineering. The ASSSET program was developed with theplan of incorporating evidenced
Conference Session
NSF Grantees Poster Session
Collection
2022 ASEE Annual Conference & Exposition
Authors
H. Ronald Clements III, Purdue University at West Lafayette (COE); Brianna McIntyre, Purdue University at West Lafayette (PPI); Jacqueline Rohde, Purdue University at West Lafayette (COE); Heather Perkins, Purdue University at West Lafayette (PPI); Sherry Chen; Andrea Castillo, University of California, Irvine; Joana Marques Melo, Purdue University at West Lafayette (COE); Allison Godwin, Purdue University at West Lafayette (COE)
’ narratives toprovide resources for both students and faculty (https://engineering.purdue.edu/STORIES/).AcknowledgmentsThis work was supported through funding by the National Science Foundation CAREER GrantNo. 1554057. Any opinions, findings, conclusions, or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. The authors wish to thank Dina Verdín and the members of the STRIDEteam for all the current and previous work they have done to make this paper a possibility. Theauthors would also like to thank John and the other interview participants for sharing their storieswith us over the previous 4 years.References[1] N. M. Carter and H. M. Wagner, “The bottom
Conference Session
PCEE Session 4: Resource / Curriculum Exchange
Collection
2022 ASEE Annual Conference & Exposition
Authors
Vicki May, Dartmouth College; Samuel Streeter, Dartmouth College; Sara Vannah, Dartmouth College
Paper ID #36826Feast or Famine Terrarium Project (Resource Exchange)Vicki V. May (Professor) Professor of Engineering at Dartmouth.Samuel S Streeter (Graduate Student)Sara Vannah © American Society for Engineering Education, 2022 Powered by www.slayte.com Feast or Famine Terrarium Project (Resource Exchange) Overview Learning Objectives Vicki May1, PhD, Roger Sloboda2,Program Description: Through a project PhD, Michele
Conference Session
Engineering Libraries Division Technical Session 7: Library Collaboration
Collection
2022 ASEE Annual Conference & Exposition
Authors
Chris Wiley, University of Illinois at Urbana - Champaign
. (i.e., see Table 1 and Table 2).Table 1: Faculty and Researcher DemographicFaculty affiliated with MSU range from Assistant, Associate and Full Professor. Otherrepresents a respondent who identified themselves with their administrative title and note(assistant, associate, or full professor). F a cu l t y/ R es e a r ch er s 9 8 7 6 5 4 3 2 1 0 Assistant Professor Associate Professor Professor Other Table 2: Department Representation Survey Responses MSU faculty rated their skills at finding information as effective. Faculty also indicated the library has been effective in meeting their research, teaching, and learning needs. Respondents were also asked about additional services
Conference Session
Mechanical Engineering: Poster Session
Collection
2022 ASEE Annual Conference & Exposition
Authors
Krishna Pakala, Boise State University; Diana Bairaktarova, Virginia Polytechnic Institute and State University; Maeve Bakic, Boise State University; Devshikha Bose, Boise State University
measures the degreeto which a lesson integrates technology and helps students reach the learning goal(s). Theframework is based on three main components: (1) Engagement in learning goals (2)Enhancement of learning goals, and (3) Extension of learning goals. The key concept of thisframework which is relevant to this study is its emphasis on the importance of the instructionalstrategy, which goes hand-in-hand with the use of any technology for learning.In this project, the Triple E Evaluation framework will be utilized as a lens to assess whether thetechnology choices made for teaching and learning leads to student engagement in learninggoals, enhancement of learning goals, and whether technology use helps the learners extend theiracademic learning
Conference Session
Educational Research and Methods (ERM) Division Poster Session
Collection
2022 ASEE Annual Conference & Exposition
Authors
Yanfen Li, University of Massachusetts Lowell; Adam St. Jean, University of Massachusetts Lowell; Chiara Ghezzi; Laura Punnett, University of Massachusetts Lowell
stakeholder representatives. Thesequestions are not those included in the questionnaires but are rather the guiding questions for thebackwards design process.Table 1 SET Content Areas Content Area Essential Questions Stakeholders To what extent did the students learn the content contained in the A Faculty, Student learning objectives? B To what extent did the course meet ABET student outcomes? Faculty, Administrator Was the way(s) the course was taught effective at helping students C Faculty, Administrator, Student learn the
Conference Session
Pre-College Engineering Education Division Poster Session
Collection
2022 ASEE Annual Conference & Exposition
Authors
Adam Maltese, Indiana University-Bloomington; Barbara Yarza; Kelli Paul, Indiana University-Bloomington; David Oyler
Attendees Challenge n (approximate s ) completed Introduction: Scavenger 12 9 Algorithms and Deaf Deaf in hunt 1 people in STEM STEM Blocks: Inputs, LEDs, Icons, String, Pause, Show Engineering Icon design, 12 8 Blocks, Loops and Design Handwashing2
Conference Session
Multidisciplinary Engineering Division Technical Session - Best Paper
Collection
2022 ASEE Annual Conference & Exposition
Authors
Mayank Kejriwal, University of Southern California
the local context, onewill likely be able to use data, at least in aggregate, such as students’ course and instructorevaluations for such understanding.References[1] S. Chandrasekaran, A. Stojcevski, G. Littlefair, and M. Joordens, “Learning through projects in engineering education,” in SEFI 2012: engineering education 2020: meet the future: proceedings of the 40th SEFI annual conference 2012. European Society for Engineering Education (SEFI), 2012.[2] C. S. Johnson and S. Delawsky, “Project-based learning and student engagement,” Academic research international, vol. 4, no. 4, p. 560, 2013.[3] C. Duhigg, “What google learned from its quest to build the perfect team,” The New York Times Magazine, vol. 26, no. 2016, p. 2016, 2016
Conference Session
NSF Grantees Poster Session
Collection
2022 ASEE Annual Conference & Exposition
Authors
Cheryl Bodnar, Rowan University; Jeffrey Stransky, Rowan University; Cayla Ritz, Rowan University; Emily Dringenberg, The Ohio State University; Elif Miskioglu, Bucknell University
Safety and Hazard Investigation Board, “Non-Condensable Gas System Explosion at PCA DeRidder Paper Mill,” Washington, DC, 2018.[5] United States Chemical Safety and Hazard Investigation Board, “Key Lessons from the ExxonMobil Baton Rouge Refinery Isobutane Release and Fire,” Washington, DC, 2017.[6] P. R. Amyotte, S. Berger, D. Edwards, J. P. Gupta, D. C. Hendershot, F. I. Khan, M. S. Mannan, and R. J. Willey, “Why major accidents are still occurring,” Current Opinion in Chemical Engineering, vol. 14, pp. 1–8, 2016, doi: 10.1016/j.coche.2016.07.003.[7] T. M. Osberg and J. S. Shrauger, “Self-Prediction: Exploring the Parameters of Accuracy,” J. Pers. Soc. Psychol., vol. 51, no. 5, pp. 1044–1057, 1986.[8
Collection
2005 GSW
Authors
Thomas J. Krueger; Ronald E. Barr
2005, American Society for Engineering Education References1. Boronkay, T. G., and Janak, D. “Introduction of Finite Element Methods in the Lower Division Mechanical Engineering Technology Curriculum.” Proceedings of the ASEE Annual Conference, Milwaukee, WI, 1997. Session 2238.2. Cole, W.: “Graphical Applications: Analysis and Manufacturing”. Engineering Design Graphics Journal, Spring, 1999, pp 43-49.3. Howell, S.: “Finite Element Analysis in a Freshman Graphics Course?” Engineering Design Graphics Journal, Winter, 1993, pp 29-32.4. Juricic, D., Howell, S., Jenison, R., and Barr, R. “Extending Engineering Design Graphics Laboratories to have a CAD/CAM Component – Part II
Collection
2022 Spring ASEE Middle Atlantic Section Conference
Authors
Heydi L Dominguez, New Jersey Institute of Technology; Prateek Shekhar, New Jersey Institute of Technology
Technological Student’s self perception of their REFERENCES Self-efficacy2 capabilities to utilize technology (tools 1. McGee, J. E., Peterson, M., Mueller, S. L., & Sequeira, J. M. (2009
Conference Session
Technical Session 9 - Paper 1: The New Normal: Student Perspectives on Supportive University Policies during COVID and Beyond
Collection
2022 CoNECD (Collaborative Network for Engineering & Computing Diversity)
Authors
Maimuna Begum Kali, Florida International University; Stephen Secules, Florida International University
Tagged Topics
CoNECD Paper Sessions, Diversity
Conference Session
Technical Session S2B
Collection
2022 First-Year Engineering Experience
Authors
Stephany Coffman-Wolph, Ohio Northern University; John K. Estell, Ohio Northern University
Tagged Topics
Workshops
Clue.References[1] S. Coffman-Wolph and K. Gray, “Computer coding scavenger hunt using quick response codes (resource exchange),” in 2020 ASEE Virtual Annual Conference Content Access Proceedings, 2020.
Conference Session
Mechanical Engineering: Design and Labs
Collection
2022 ASEE Annual Conference & Exposition
Authors
Karen Perez, Boise State University; Donald Plumlee, Boise State University
designed by Michigan Tech created awareness amongmechanical engineering students. However, experts from Michigan Tech suggested that toincrease engagement in sustainability, the curricula should provide students with more real-worldlearning experiences [9].Similarly, BSU introduced sustainability in the civil engineering curriculum by adding a coursespecifically dedicated to sustainability; this solved the lack of S&R coverage and modified theexisting traditional teaching method [10]. Interviews were conducted with senior civilengineering students to understand attitudes toward S&R concepts better. The interviewquestions were based on students' knowledge by describing their understanding of S&R conceptsfrom the civil engineering
Conference Session
LEES Session 8: Care and Commitments
Collection
2022 ASEE Annual Conference & Exposition
Authors
Michelle Ausman; Dean Nieusma, Colorado School of Mines; Qin Zhu, Colorado School of Mines; Stephen Rea; Kylee Shiekh, Colorado School of Mines; Beck Corby, Rensselaer Polytechnic Institute
or lack of consideration for thesocial aspect alongside the technical. And third, tacit knowledge focuses on the stance that ethicscannot be taught through formal education but through implicit means such as extracurriculars,values, and beliefs. However, students develop this tacit knowledge in understanding engineeringethics both in and out of the classroom.SafetyBefore we dive into two examples of undone ethics, we want to provide an undeniable standardof engineering ethics – safety. Safety as a public and social value goes back to Cicero’s Creed“[s]alus populi suprema est lex,” or “the health and safety of the people shall be the supreme law[13].” Ever since, safety has been considered paramount for ethical considerations inengineering
Conference Session
Computers in Education 3 - Modulus I
Collection
2022 ASEE Annual Conference & Exposition
Authors
Andrew Deorio, University of Michigan; Christina Keefer, University of Michigan
-intuitive side effect when the feedback isopaque, resulting in a surge of demand for peer teaching office hours.7.1 Corroborating Prior WorkOur results corroborate the findings of Smith et al. [9]. Both examined computer science coursesat large research universities and use similar web-based office hours queues. Our data set contains105941 records collected from 17 unique courses over more than 3 years at one university, whileSmith et al. collected approximately 3720 records from 3 unique courses during 2 semesters at 3universities. As seen in Figure 2a, our results corroborate the finding that a small percentage ofstudents occupy 50% of all available office hours. Furthermore, Figure 2b shows that our waittime results mirror Smith et al.’s in
Conference Session
Engineering Libraries Technical Session 2: Instruction
Collection
2022 ASEE Annual Conference & Exposition
Authors
Jodi Bolognese, Northeastern University; Bridget Smyser, Northeastern University
, Conference Proceedings, 2010, doi: 10.18260/1-2--16508.[6] E. Gadd, A. Baldwin, and M. Norris, “The citation behaviour of Civil Engineering students,” Journal of Information Literacy, vol. 4, no. 2, 2010, doi: 10.11645/4.2.1483.[7] L. R. Hanlan and E. M. Riley, “Information use by undergraduate STEM teams engaged in global project-based learning,” ASEE Annual Conference and Exposition, Conference Proceedings, vol. 122nd ASEE, no. 122nd ASEE Annual Conference and Exposition: Making Value for Society, 2015, doi: 10.18260/p.24300.[8] R. E. H. Wertz, M. C. Ross, M. Fosmire, M. E. Cardella, and S. Purzer, “Do students gather information to inform design decisions? Assessment with an authentic design task
Conference Session
Social Justice and the Curriculum: Equity, Culture & Social Justice in Education Division Technical Session 3
Collection
2022 ASEE Annual Conference & Exposition
Authors
Kathryn O'Harra, The University of Alabama
/01/ 1991, doi: https://doi.org/10.1016/0362-3319(91)90040-B.[2] S. Matthew and R. Yasha, "Development of a Social-justice Mindset Through Discovery Learning from the Conflict Between Safety and Welfare in Engineering Ethics," Virtual Conference, 2021/07/26. [Online]. Available: https://peer.asee.org/36962.[3] S. Stephen, "Putting Diversity in Perspective: A Critical Cultural Historical Context for Representation in Engineering," Columbus, Ohio, 2017/06/24. [Online]. Available: https://peer.asee.org/28776.[4] D. Kirsten Heikkinen, D. Courtney, D. Hannah, C. Makenzie, S. Natalie, and B. Elizabeth, "Studying the Impact of Humanitarian Engineering Projects on Student Professional Formation and
Conference Session
NSF Grantees Poster Session
Collection
2022 ASEE Annual Conference & Exposition
Authors
Kenneth Connor, Rensselaer Polytechnic Institute; Craig Scott, Morgan State University; Mohamed Chouikha, Prairie View A&M University; Pamela Leigh-Mack, Virginia State University; Barry Sullivan; John Kelly, North Carolina Agricultural and Technical State University (CoE); Stephen Goodnick, Arizona State University; Mark Smith, University of Texas at Austin; Michelle Klein, Electrical and Computer Engineering Dept. Heads Assoc. (ECEDHA); Shiny Abraham, Seattle University; Ben Oni, Tuskegee University; Esther Ososanya, University of the District of Columbia; Abdelnasser Eldek, Jackson State University; Shujun Yang; Hector Erives, University of Texas at El Paso; Cole Joslyn, University of Texas at El Paso; Ivonne Santiago, University of Texas at El Paso; Peter Romine, Navajo Technical University; Shayla Sawyer; Rodrigo Romero, University of Texas at El Paso; Yuanrui Sang; Hassan Salmani; Delia Saenz, Arizona State University; Miguel Velez-Reyes, University of Texas at El Paso
• Social Aspects of a Group • Structure and Clarity Around Tasks & Personal EngagementGoals: • Build a Community of Practice. What exists now and what needs to be added? • Identify short and long-term opportunities for collaboration in education and researchGroup Topic: Semiconductors, Applied AI, 5G, Cybersecurity & Cloud Computing, GreenEnergyList Facilitator, Scribe, Presenter, Participants.Discussion Notes, Plans for future meetings, Report out bullets.Collaboration Template (Guidance developed at previous workshops): 1) Identify area(s) ofcollaboration (sample areas: learning modules, senior design, joint speaker series,student/faculty/staff exchanges, research, joint advising, industry internship, DEI training
Conference Session
Graduate Studies Division Technical Session 3
Collection
2022 ASEE Annual Conference & Exposition
Authors
Ha Pho, University of Massachusetts Lowell; Hsien-yuan Hsu, University of Massachusetts Lowell; Yanfen Li, University of Massachusetts Lowell; Shanna Thompson, University of Massachusetts Lowell
mentoringrelationship. This innovative training model can well be a useful component of any mentoringprogram that nurtures generations of researchers in academia.Reference[1] B. Anderson, M. Cutright, and S. Anderson, "Academic involvement in doctoral education: Predictive value of faculty mentorship and intellectual community on doctoral education outcomes," International Journal of Doctoral Studies, vol. 8, no. 8, pp. 195- 201, 2013.[2] J. L. Brill, K. K. Balcanoff, D. Land, M. Gogarty, and F. Turner, "Best Practices in Doctoral Retention: Mentoring," Higher Learning Research Communications, vol. 4, no. 2, pp. 26-37, 2014.[3] B. E. Lovitts, "The transition to independent research: Who makes it, who doesn't, and
Conference Session
ERM: Let's Talk about Tests! (Tests Part 1)
Collection
2022 ASEE Annual Conference & Exposition
Authors
Nelson Granja, Universidad San Francisco de Quito; Miguel Andrés Guerra, Universidad San Francisco de Quito; Vanessa Guerra, University of Virginia
and self esteem in university students,” Educ. Psychol., vol. 14, no. 3, pp. 323–330, 1994.[10] K. E. Dugan, E. A. Mosyjowski, S. R. Daly, and L. R. Lattuca, “Systems Thinking Assessments: Approaches That Examine Engagement in Systems Thinking,” presented at the 2021 ASEE Virtual Annual Conference Content Access, Jul. 2021. Accessed: Feb. 04, 2022. [Online]. Available: https://peer.asee.org/systems- thinking-assessments-approaches-that-examine-engagement-in-systems-thinking[11] M. Guerra and T. Shealy, “Teaching User-Centered Design for More Sustainable Infrastructure through Role-Play and Experiential Learning,” J. Prof. Issues Eng. Educ. Pract., vol. 144, no. 4, p. 05018016, Oct. 2018, doi
Conference Session
Architectural Engineering Division Technical Session 3
Collection
2022 ASEE Annual Conference & Exposition
Authors
Ryan Solnosky, Pennsylvania State University; John Phillips, Oklahoma State University
-class and out-of-class correlate to programs that are largely studio settings witharchitectural components and the number of credit hours for the course(s) is greater. Two schoolsindicated that for the large ranges those were often in bursts for just a few weeks. If we break thisdown further and look explicitly at team-focused activities, the full team time for discussion,planning, and working collectively on the project varies substantially. For an individual to discussand plan, the statistics are a minimum of 1 hour and a maximum of 9 hours per week, with a meanof 3.17 hours and a mode of 3hrs. For full teams to collaboratively work on the project, the statisticsincrease by a minimum of 1 hour and a maximum of 3 hours per week, with a mean
Conference Session
ERM: Instruction and Engagement
Collection
2022 ASEE Annual Conference & Exposition
Authors
Yonghee Lee, Purdue University at West Lafayette (COE); David Evenhouse, Purdue Engineering Education; Edward Berger, Professor of Engineering Education and Mechanical Engineering; Jeffrey Rhoads, Purdue University at West Lafayette (COE); Jennifer Deboer, Purdue University at West Lafayette (COE); Anastasia Rynearson, Campbell University
originallydeveloped elsewhere to align with their institutional culture and approach, as well as studentexpectations. Because educational interventions may affect student learning, implementing aninnovative instruction should value individual instructors’ pedagogical decisions as experts intheir institutional context. This single-participant study reveals that this Freeformimplementation at an institution quite unlike the institution of Freeform’s origin is associatedwith significant adaptation to local institutional context. References[1] S. Freeman et al., “Active learning increases student performance in science, engineering,and mathematics.,” National Academy of Sciences, vol. 111, no. 23, pp. 8410–8415, 2014.[2
Conference Session
Multidisciplinary Engineering Division Technical Session - NAE Grand Challenges, Graduate Students, Sustainability, and Makerspaces
Collection
2022 ASEE Annual Conference & Exposition
Authors
Kavitha Chandra, University of Massachusetts Lowell; Trina Kershaw, University of Massachusetts Dartmouth; Susan Tripathy, University of Massachusetts Lowell; Max Denis, University of the District of Columbia; Jorge Allen, University of Massachusetts Lowell; Hong Liu, University of Massachusetts Dartmouth; Tzuyang Yu, University of Massachusetts Lowell; Charles Thompson, University of Massachusetts Lowell
Research in Science Teaching, vol. 31, no. 6, pp. 679-693, 1994.[16] S. Freeman, S. L. Eddy, M. McDonough, M. K. Smith, N. Okoroafor, H. Jordt and M. P. Wenderoth, "Active Learning Increases Student Performance in Science, Engineering, and Mathematics," Proceedings of the National Academy of Sciences, vol. 111, no. 23, pp. 8410-8415, 2014.[17] K. D. Könings, S. Mordang, F. Smeenk, L. Stassen and S. Ramani, "Learner Involvement in the Co-Creation of Teaching and Learning: AMEE Guide No. 138," Medical Teacher, vol. 43, no. 8, pp. 924-936, 2021.[18] C. T. Lystbæk, K. Harbo and C. H. Hansen, "Unboxing co-creation with students: Potentials and tensions for academic libraries," Nordic Journal of Information Literacy in Higher
Collection
2022 ASEE Gulf Southwest Annual Conference
Authors
TOYA ACHARYA, Prairie View A & M University; Cajetan M. Akujuobi P.E., Prairie View A&M University; Mohamed F. Chouikha, Prairie View A&M University; Annamalai Annamalai, Prairie View A&M University
, F. u., Baig, S., & Junaid Mughal, M. (2012). Performance comparison of time-domain equalization (TEQ) techniques in a discrete wavelet multi-tone (DWMT) system for asymmetric digital subscriber line (ADSL). World Applied Sciences Journal, 20, 1008-1013. doi:10.5829/idosi.wasj.2012.20.07.2652 4. Ibraheem, O. W., & Khamiss, N. N. (2008). Design and Simulation of Asymmetric Digital Subscriber Line (ADSL) modem. 2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA. doi:10.1109/ICTTA.2008.4530251 5. Katiyar, R., & Padmaja, K. V. (2016). Performance analysis of time domain and frequency domain equalizer for ADSL
Conference Session
Technical Session 9 - Paper 2: Course Interventions to Promote Diversity, Equity, and Inclusion in Engineering Curricula
Collection
2022 CoNECD (Collaborative Network for Engineering & Computing Diversity)
Authors
Richard Blackmon, Elon University; Sirena C. Hargrove-Leak, Elon University
Tagged Topics
CoNECD Paper Sessions, Diversity
the programimproved from 2018-2020, several areas of improvement are still needed, such as more visibleand impactful resources for underrepresented students in engineering. Overall, we are excited tocontinue moving forward with improving and promoting DEI in engineering.References[1] National Academy of Engineering, "Introduction to the Grand Challenges for Engineering," [Online]. Available: http://www.engineeringchallenges.org/challenges/16091.aspx. [Accessed 7 October 2021].[2] L. Hong and S. E. Page, "Groups of diverse problem solvers can outperform groups of high-ability problem solvers," Proceedings of the National Academy of Sciences, vol. 101, no. 46, pp. 16385- 16389, 2004.[3] C. Diaz-Garcia, A. Gonzalez-Moreno and F. J
Collection
ASEE-NE 2022
Authors
Ning Fang, Utah State University
,” available: https://www.whitehouse.gov/briefing-room/presidential- actions/2021/06/25/executive-order-on-diversity-equity-inclusion-and-accessibility-in-the- federal-workforce/. [Accessed January 29, 2022].[3] U.S. Department of Education, “First-generation and continuing-generation college students: A comparison of high school and postsecondary experiences,” Statistical Analysis Report (NCES 2018-19) of the National Center for Education Statistics by J. Redford, K. M. Hoyer, and J. Ralph, Washington D.C., 2017.[4] J. Ives and M. Castillo-Montoya, “First-generation college students as academic learners: A systematic review,” Review of Educational Research, vol. 90, pp. 139-178, January 2020.[5] J. P. Martin, S. K
Conference Session
Technical Session S1C
Collection
2022 First-Year Engineering Experience
Authors
Peter J. Shull, Pennsylvania State University, Altoona Campus
Tagged Topics
Workshops
ideal for both 1) first year (success) classes and 2) facultyteaching any discipline related class.Faculty who desire to provide student with methods to improve performance in their class will findthese LC—HI methods both effective and efficient. From a faculty perspective they are intuitive,very easy to implement, require little time to introduce, create opportunity for studentaccountability, will not detract from time on topical material, and a high percentage of studentswill use them.References[1] W. C. Leuwerke, S. Robbins, R. Sawyer and M. Hovland, Predicting engineering major status from mathematics achievement and interest congruence, Journal of Career Assessment, 12, 2004, pp. 135–149.[2] B. F. French, J. C. Immekus and W
Conference Session
ECE Division Technical Session 2: Long-Term Institutional Outcome Evaluations and Capstone Innovations
Collection
2022 ASEE Annual Conference & Exposition
Authors
Sanjeevi Chitikeshi; Shirshak Dhali, Old Dominion University; Vukica Jovanovic, Old Dominion University
to add safety features. This is the firststep that diverges from the original control. This safety feature is designed to protect the robotfrom trying to drive into itself. Under the normal control scheme, the sensors were only used tohome the robot for point-based control. This change guarantees that if the sensor is tripped thecommand to that motor(s) will be inhibited in the unsafe direction. This has led to a newquestionable feature for the arm motor. Namely if the arm retracts back into its sensor, it willstop and then bounce off, which leads to sporadic motion. To get around this a denounce timerwas added just for the arm sensor to make the motion smoother when trying to home that motor.GRAPHICAL USER INTERFACE DEVELOPMENT: HMI WORKTo