+ 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
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
’ 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
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
. (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
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
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
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
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
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
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
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
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.
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
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
-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 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
/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
• 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
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
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
-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
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
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
, 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
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
,” 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
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
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