funding, so it reduced the number of students that had to seek employmentoutside of FAMU. Moreover, by 2020, a federal NSF S-STEM grant was acquired in addition toother industry partnerships that provided additional funding and the ability to ensure no studentshad to work outside of FAMU, which reduced students' financial needs and heavily increasedretention and average GPAs.E. ConclusionThe EESI program has varied over the years with the change of funding offered, which led to theability to meet goal (1) of the program. However, the core concept of incorporating experientiallearning with academic support has been the same to ensure that the seven (7) program goals aremet. The quantitative results in this study show that the EESI students are
a mathematicalpuzzle in which a player must move the bunny to a target location(s) marked by food(s) or key(s).The bunny is located at the origin of the Cartesian coordinate system and the food location ismarked as goal position in terms of its < x, y > coordinates. Figure 2a shows the level 1 of thegame where the food position is < 2, −9 >. To solve the puzzle, a player needs to drag and drop (a) Level 1 (b) Level 3 (c) Level 4 (d) Level 5 Figure 2: Various levels in Vector Unknown 2D (Bunny Game)two vectors into appropriate slots and then adjust the vector’s factors (scalars) to create a
, theMathWorks website includes significant content explaining the functionality and implementationof live scripts 5. Furthermore, the MATLAB Central File Exchange 6 is a valuable resource fordiscovering live scripts that other users have created that can be readily adapted.References[1] M. Prince, "Does active learning work? A review of the research.," Journal of engineering education, vol. 93, no. 3, pp. 223-231, 2004.[2] 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.[3] P. C. Wankat and F. S. Oreovicz, Teaching
improvement groups.Figure 1 also shows the needs improvement group (n = 45)’s average scores in the nine outcomesand a grand average of 1.52. None of the outcomes reached 2 or a satisfactory score. The highestthree scored outcomes included outcomes 8 (an average of 1.76), 2 (an average of 1.67), and 9(an average of 1.66). The scores from the needs improvement group in demonstrating lab reportgenre convention, writing experimental processes, and providing an error-free document werebetter than those in other writing outcomes. The worst three scored outcomes included outcomes5 (an average of 1.34), 6 (an average of 1.42), and 7 (an average of 1.49). This group of studentsstruggled to interpret lab data, provide a productive conclusion, and develop
, "Active learning in engineering education: A review of the literature,"Journal of Engineering Education, vol. 93, pp. 223-231 (2004).[9] A. Khamparia and S. Rawat, “A comparison of lab-based and lecture-based teaching in acomputer network course. International Journal of Information and Education Technology”, vol.6, pp. 443-448 (2016).[10] “National Solar Jobs Census 2020” by the Solar Energy Industries Association (SEIA),2021. Available online at: https://www.seia.org/solar-jobs-census[11] C. Li and M. Behnia, "Hands-on laboratory sessions vs. traditional lecture-based learning:who has better learning outcomes and why?", International Journal of Mechanical EngineeringEducation, vol. 45, pp. 222-235 (2017).[12] J. K. Vijayakumar and S. P. Deepika
curated thelesson plan content to directly relate to their specific context, in collaboration with each other and ourresearch team.We built the curriculum leveraging students’ existing conceptions and misconceptions about AI from priorwork while testing the feasibility of addressing AI learning objectives, as well the AI4K12’s Five Big Ideas,in the broader context of middle school science, technology, engineering, mathematics, and computing(STEM+C) education. Our lessons were scaffolded using the iterative machine learning developmentprocess: 1) data collection and preparation; 2) selecting and training the model; 3) evaluating the models’accuracy; 4) tuning model parameters to improve performance. Each stage of the development processconstituted
) Career_choice Demographi Gender Firstgen_Student (Industry Vs. Multiple_AP_course c Attributes (Male/Female) (Yes/No) Academia) s (Yes/No) Freshmen D1 Fail to reject H0 Fail to reject H0 Fail to reject H0 Fail to reject H0 D2 Fail to reject H0 Fail to reject H0 Fail to reject H0 Fail to reject H0 D3 Fail to reject H0 Fail to reject H0 Fail to reject H0 Fail to reject H0 Seniors D4 Fail to reject H0 Fail to reject H0 Fail to reject H0 Fail to reject H0 D5 Fail to reject H0 Yes>No Fail to reject H0 Fail to reject H0 D6 Fail to reject H0 Fail to reject H0
. 10.18260/p.25933[2] National Science Foundation. Veterans’ education for engineering and science. Report of the NSF Workshop on Enhancing the Post-9/11 Veterans Educational Benefit. McLean, VA, April 13, 2009.[3] F. M. Connelly and D. J. Clandinin, “Stories of experience and narrative inquiry,” Educ. Res., vol. 19, no. 5, pp. 2–14, Jun. 1990.[4] M. Q. Patton, Qualitative Research & Evaluation Methods, 3rd ed. Thousand Oaks, CA: SAGE, 2002.[5] G. A. Phillips and Y. S. Lincoln, “Introducing veteran critical theory,” Int. J. Qual. Stud. Educ., vol. 30, no. 7, pp. 656–668, 2017.[6] T. J. Yosso, “Whose culture has capital? A critical race theory discussion of community cultural wealth,” Race Ethn. Educ., vol. 8, no. 1, pp. 69–91
ofremote/isolated learning cannot be absorbed by their families due to economic pressures andfamily obligations. HBCUs need to move from Covid-19 crisis answers and learn how torecover and make sure that money and arrangements for learning recovery set the foundationsfor more efficient, unbiassed, and strong education systems. References[1]S. BARKER, "CISION PRWEB," Gartner Magic Quadrant for Data Science and MachineLearning (DSML) Platforms, 1 March 2021. [Online]. Available:https://www.prweb.com/releases/rapidminer_named_a_visionary_in_gartner_magic_quadrant_for_data_science_and_machine_learning_platforms/prweb17780545.htm.[2] P. H. England, "Disparities in the risk and outcomes of Covid-19," PHE
future careers thus contributing to building sustainable and resilientdevelopments. The results of this research will be useful for developing SI and advancing therequired professional competencies of the future AEC workforce.References[1] B. Trigunarsyah and M. Skitmore, “The Key to Successful Implementation: Project Management of Sustainable Infrastructure Provision,” in Sustainable Urban and Regional Infrastructure Development: Technologies, Applications and Management, 2010.[2] E. Cooke and A. Bernheim, “Beyond zero: Activating triple zero airports,” J. Airpt. Manag., vol. 16, no. 2, pp. 173–183, 2022.[3] A. M. Raouf and S. G. Al-Ghamdi, “Effectiveness of Project Delivery Systems in Executing Green Buildings,” J
here are approved by the University of Illinois Urbana-ChampaignInstitutional Review Board under NHSR designation 23380. Capstone Innovations at Carle IllinoisCollege of Medicine are supported by The Henry Dale and Betty Smith Family.References[1] DianeR. Bridges, R. A. Davidson, P. Soule Odegard, I. V. Maki, and J. Tomkowiak, “Interprofessional collaboration: three best practice models of interprofessional education,” Medical Education Online, vol. 16, no. 1, p. 6035, Jan. 2011, doi: 10.3402/meo.v16i0.6035.[2] S. Chien, R. Bashir, R. M. Nerem, and R. Pettigrew, “Engineering as a new frontier for translational medicine,” Sci. Transl. Med., vol. 7, no. 281, Apr. 2015, doi: 10.1126/scitranslmed.aaa4325.[3] K. Alder, Engineering the
–855, Jan. 2018, doi: 10.1245/s10434-017-6320-6.[3] S. Chien, R. Bashir, R. M. Nerem, and R. Pettigrew. “Engineering as a new frontier fortranslational medicine,” Science Translational Medicine, vol. 7, no. 281, Apr. 2015, doi:10.1126/scitranslmed.aaa4325.[4] H. Zijlstra, and R. McCullough. “CiteScore: a new metric to help you track journalperformance and make decisions.” Eslevier.com. https://www.elsevier.com/connect/editors-update/citescore-a-new-metric-to-help-you-choose-the-right-journal (accessed Jan. 10, 2023).[5] Elsevier. “Topic prominence in science.” Eslevier.com.https://www.elsevier.com/solutions/scival/features/topic-prominence-in-science (accessed Jan.11, 2023).[6] N. Donthu, S. Kumar, D. Mukherjee, N. Pandey, and W. M. Lim. “How
Students Who Have Been There’ workshop. The team decided to utilizethe book The Secrets of College Success, Lynn F. Jacobs and Jeremy S. Hyman and providedspecific assigned and recommended readings.Program CohortsThe initial cohort in 2020 was recruited primarily from incoming first-year CoE students whosubmitted applications tothe traditional residential Table 1. The demographic composition of the BEE program and majorsSummer Scholars in the LSU College of Engineering. BEE BEE BEE All CoEprogram. The 2021 and Cohort 2020 2021 2022 (2021)2022 participants wererecruited from the Number 9
failure using the tensile testing machine. Figure 4. Some examples of the redesigned shapes created by students in week 3 and 3D printed before week 4's sessionDeliverables:Students complete and submit two short deliverables in the first four weeks, a full technical reportin week 10 and an oral presentation in week 13 of the semester. The short deliverables are designedto be included in the full technical report. The first short deliverable is a schematic to show themeasurements made for assessing dimensional accuracy as well as a photograph of the failed shapefor describing what failure looked like and how the location of failure was measured. The secondshort deliverable is a graphdemonstrating the
. Hess, J. Strobel, and R. (Celia) Pan, “Voices from the workplace: practitioners’ perspectives on the role of empathy and care within engineering,” Eng. Stud., vol. 8, no. 3, pp. 212–242, Sep. 2016, doi: 10.1080/19378629.2016.1241787.[2] J. Walther, S. Miller, and N. Kellam, “Exploring the role of empathy in engineering communication through a transdisciplinary dialogue,” in 2012 ASEE Annual Conference & Exposition Proceedings, San Antonio, Texas: ASEE Conferences, Jun. 2012, p. 25.622.1- 25.622.11. doi: 10.18260/1-2--21379.[3] D. Weichert, B. Rauhut, and R. Schmidt, “Educating the engineer for the 21st century: Proceedings of the 3rd workshop on global engineering education.” 2001.[4] H. Burns and K. Lesseig, “Infusing
presentations, and this was not due to differences in anxiety using thesedifferent modes. Student understanding and learning outcomes for both the presenters andthe audience members were significantly higher for in-person presentations. Although itwas not possible with the number of student responses in this course (one undergraduatestudent and eight graduate students), in the future it would be interesting to see if some ofthese results are driven by degree program level or experience with different presentationtypes, as only two students had previous experience with pre-recorded presentations.References[1] S. K. A. Soong, L. K. Chan, C. Cheers, and C. Hu, "Impact of video recorded lectures among students," Who’s learning, pp. 789-793, 2006
Student Experiences at a Minority Serving Institutuin (MSI)," in 2021 ASEE Annual Conference, Virtual conference, 2021.[2] D. R. Walker, Y. Maeda, M. Ohland and L. Tay , "The Impact of Department Diversity on Student Persistance and Success in Engineering," in 2021 ASEE Annual Conference, Virtual Conference, 2021.[3] R. Vivian, K. Falkner and C. Szabo, "Broadening Participation in Computer Science: Key Strategies from International Findings," in Preceedings of the 48th ACM Technical Symposium on Computer Science Education, Seattle, 2017.[4] R. Fall, S. Freeman, R. Greenberg, D. Kaiser and N. Sridhar, "Computer Science through Current Enrollment: A Strategy to Broaden Participation," in Proceeding of the 51st ACM Technical
even tried”). The rubric waspantomimed in class repeatedly for students.Since the project was due just before final exams and grades would need to be turned in shortlyafter, students were aware that detailed point allocation was unlikely but feedback would comein the form of comments about their professionalism and approach, with an overall impression ofwhether they were successful in accomplishing the task without regards to how close theymatched the drag coefficient(s). Within the written feedback to their assignments (via the LMS)comments on their approach and success reinforced the uncertainty inherent in simulations aswell as the uncertainty within published values.ResultsAs seen in Table 1, the majority of students selected SolidWorks
, theirability to identify stakeholders involved in a project scenario and the value engineers can createfor them.While our findings show student ability to create value depends on how they are exposed to theconcept and practice it, we do not argue one method is “better” than the other. Rather, wehighlight the ways in which the structure of these courses and their semester-long design projectsaffects student ability to create value in different ways. Engineering educators can decide whichfacet(s) of creating value they would like to highlight with their students and have them practicemore. In addition, while we used the Creating Value Direct Assessment as a summativeassessment in this work, we anticipate it can be used as a formative assessment by
/?id=EJ854930[5] P. Marshall, “How much, how often?” College and Research Libraries, vol. 35, no. 6, pp. 453, 1974[6] C. M. Burchfield and T. Sappington, “Compliance with required reading assignments,” Teaching of Psychology, vol. 27, no. 1, pp. 58, 2000.[7] T. Berry, L. Cook, N. Hill, and K. Stevens, “An Exploratory Analysis of Textbook Usage and Study Habits: Misperceptions and Barriers to Success,” College Teaching, vol. 59, no. 1, pp. 31–39, Dec. 2010, doi: https://doi.org/10.1080/87567555.2010.509376.[8] A. Bovtruk, I. Slipukhina, S. Mieniailov, P. Chernega, and N. Kurylenko, "Development of an electronic multimedia interactive textbook for physics study at technical universities," 16th
/education-oer/ (accessed Feb. 09, 2023).[3] N. B. Colvard, C. E. Watson, and H. Park, “The Impact of Open Educational Resources on Various Student Success Metrics,” International Journal of Teaching and Learning in Higher Education, vol. 30, no. 2, pp. 262–276, 2018.[4] B. Khan, C. Robbins, and A. Okrent, “The State of U.S. Science and Engineering 2020 | National Science Foundation,” 2020. Accessed: Feb. 09, 2023. [Online]. Available: https://ncses.nsf.gov/pubs/nsb20201/u-s-s-e-workforce[5] E. Litzler and J. Young, “Understanding the Risk of Attrition in Undergraduate Engineering: Results from the Project to Assess Climate in Engineering,” Journal of Engineering Education, vol. 101, no. 2, pp. 319–345, 2012, doi: 10.1002/j.2168
correlated with curricular progressionthrough the major, and degree of exposure to military culture and/or service members.References[1] Syracuse University, D’Aniello Institute for Veterans & Military Families. [Accessed Feb 20, 2023.] [Online]. Available: https://ivmf.syracuse.edu/[2] Forbes: P. A. Dillon, “Memo To Employers: Veterans Aren't PTSD Basketcases; They're Disciplined And Committed,” Forbes, September 29, 2014; assessed online September 11, 2017 at https://www.forbes.com/sites/realspin/2014/09/29/memo-to-employers-veterans- arent-ptsdbasketcases-theyre-disciplined-and-committed/[3] S. E. Kerr (Ed.), Examining Gun Regulations, Warning Behaviors, and Policies to Prevent Mass Shootings. IGI Global, 2021.[4] A
requires anencrypted connection to the server.Apart from issues with defective components, some groups, initially, were provided withRaspberry Pi 3’s instead of Raspberry Pi 4’s which resulted in slow response and irregular drivingby the RC cars. Through testing, it was seen that there were significant differences in drivingperformance on Raspberry Pi 3’s because they had only 1GB RAM. As latency increases, the carcan oscillate more. At high speeds, this can cause the car to drive off the track. This is why it isrecommended that a Raspberry Pi 4 with at least 4GB of RAM be used. In addition to running thedriving code, the Raspberry Pi is responsible for sending the sensor data and camera feed to theserver and receiving driving requests from a
of this study also taught the course understudy.Ethics approval: Research conducted retrospectively under IRB approval through Texas A&MUniversity.Consent to participate: Not applicable (exempted through IRB approval)Consent for publication: Publication was approved by IRB board.Availability of data and material: All student record data were de-identified and approved forFERPA compliance by Texas A&M University’s Office of the Registrar.References[1] M. Itani, S. Kaddoura, & F. al Husseiny. “The impact of the Covid-19 pandemic on on-line examination: challenges and opportunities,” Global Journal of Engineering Education, 24(2), 105–120, 2022.[2] B. Ives, & A.-M. Cazan. “Did the COVID-19 pandemic lead to an increase in
First-Year Class 0.9 high 0.8 medium low Errors per FBD 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 ed in s ht
the chatbot. The updated version will betested on a larger student base. More detailed responses and information will be added to cover awide variety of courses.References [1] G.-J. Hwang and C.-Y. Chang, "A review of opportunities and challenges of chatbots in education," Interactive Learning Environments, pp. 1–14,, July 2021.[2] S. Wollny, J. Schneider, D. Mitri, J. Weidlich, M. Rittberger and H. Drachsler, "Are We There Yet? - A Systematic Literature Review on Chatbots in Education," Front Artif Intell, vol. 4, July 2021.[3] S. Ondas, M. Pleva and D. Hladek, "How chatbots can be involved in the education process," in 2019 17th International Conference on Emerging eLearning Technologies and Applications (ICETA, 2019.[4] M. C
publication.6. References[1] A. Hamouda, "Entrepreneurship for all: an exploration of the impact of entrepreneurship education across disciplines," in International Conference on Innovation and Entrepreneurship, 2018: Academic Conferences International Limited, pp. 300-XV.[2] S. Mosey, "Encouraging Technology Entrepreneurship for All," in Engineering and Enterprise: Inspiring Innovation, 2016: Springer, pp. 115-127.[3] Bosman and Fernhaber, Teaching the entrepreneurial mindset to engineers. Switzerland: Springer International Publishing, 2018.[4] M. Ko, J. F. Mirabelli, A. J. Barlow, K. J. Jensen, and K. J. Cross, "Faculty motivations and barriers for engineering education research," in American Society
academic programs that focus on academic and community partnerships would appeal to a wider range of high school students, hence increasing interest in these degrees with higher retention and graduation rates.Integrating project-based service learning with courses can introduce challenges that would nottypically exist in regular traditional academic courses, some of these challenges are: • The community project purpose and timeline need to align with the course(s) learning outcomes and deliverables. Some organizations would have urgency to complete projects 5 within a certain time frame that will not fit with the progress of courses. For this reason, during the partnership
–13, 2022, doi: 10.1080/17441692.2022.2102202.[2] J. Evert, “Teaching Corner: Child Family Health International: The Ethics of Asset-Based Global Health Education Programs,” J Bioeth Inq, vol. 12, no. 1, pp. 63–67, 2015, doi: 10.1007/s11673- 014-9600-x.[3] Q. G. Eichbaum, L. v. Adams, J. Evert, M. J. Ho, I. A. Semali, and S. C. van Schalkwyk, “Decolonizing Global Health Education: Rethinking Institutional Partnerships and Approaches,” Academic Medicine, vol. 96, no. 3, pp. 329–335, 2021, doi: 10.1097/ACM.0000000000003473.[4] L. Hammersley, “Community-based service-learning: Partnerships of reciprocal exchange?,” Asia-Pacific Journal of Cooperative Education, vol. 14, no. 3, pp. 171–s4
. Communicating Across Cultural and Epistemological Boundaries [Conference session] 2018 ASEE Annual Conference & Exposition, Salt Lake City, UT, United States. https://peer.asee.org/30538[16] Rasoal, C., Danielsson, H., & Jungert, T. (2012). Empathy among students in engineering programmes. European Journal of Engineering Education, 37(5), 427–435. https://doi.org/10.1080/03043797.2012.708720[17] Jacobs, E. L., de Jongh Curry, A. L., Astorne-Figari, C., Deaton, R. J., Salem, W. M., Xu, Y. J., & Roberts, S. G. (2019, June 15). The Role of Empathy in Choosing Majors. Women in Engineering Division Technical Session 1 [Conference session] 2019 ASEE Annual Conference & Exposition Proceedings, Tampa