content and enhancing the learning experience forfuture cohorts.Qualitative surveys were conducted before (Spring 2022) and after the project'simplementation to supplement the quantitative analysis. These surveys, aimed at capturingstudents’ perceptions and satisfaction levels, were administered anonymously using GoogleForms. Students were asked to rate their agreement with various statements on a scale from1 (strongly disagree) to 5 (strongly agree), covering aspects such as their preparedness byprevious courses, the clarity and usability of the lab manual, and the adequacy of lab time,as enumerated below: ● Q.1 - Logic Circuit Design (ENGR 2332) prepared me for the concepts and work in the Digital Design Lab (ENGR 2323). ● Q.2 - The
why they were made. • Considering Risks – For the vapor power cycle installation, discuss any risks or strengths for each of the following: o Public health, safety, and welfare o Global factors o Cultural factors o Social factors o Environmental factors o Economic factorsProject OverviewThe assignments of the project spanned across the latter half of the Fall 2023 semester. Theproject included multiple deliverables with submission deadlines spread across the two months.Whether the specific assignment was completed individually or as a group is indicated inparentheses. • Power Plant Visit (individual grade, class went together) • Power Plant Visit Q&A assignment
feasible, bring industry folks to your classroom to present and do Q & A; always leave time for Q & A. Ensure the industry person describes their path to where they are.”The leadership mindset carries to a classroom and reflects one’s ability to inspire the nextgeneration of leaders. A good academic leader should set high values and standards for studentsto aspire to. One leader argued: “Leadership mindset in a group-based task; Excellence, wisdom and inclusiveness.”Lastly, a fundamental quality of a leader is the willingness to listen. This quality translates wellto a classroom. Listening and responding to student questions can open the room up for morediscussions and flow of ideas
midterm assessments have been conducted to monitor the students’ progress andperformance, followed by an immediate adjustment of the instructor’s intervention as needed.For example, from the tests, class discussion, and midterm exam, students in CS405demonstrated weaker understanding on some concepts and skills such as using arithmeticexpressions and selection statements in shell scripts and vi editor in supercomputer environment.The instructor added in-class lab times to reinforce the related concepts and office hours afterclass for Q&A. In addition, the data on student project completion rate, exit survey and finalexam were collected to evaluate and assess the outcomes of the adopted pedagogies. The pilotstudy results are presented in the
instruction?,” PLoS One, vol. 10, no. 9, pp. 1–19, 2015, doi: 10.1371/journal.pone.0137446.[45] O. Popescu, L. C. Chezan, V. M. Jovanovic, and O. M. Ayala, “The use of polleverywhere in engineering technology classes to student stimulate critical thinking and motivation,” ASEE Annu. Conf. Expo. Conf. Proc., vol. 122nd ASEE, no. 122nd ASEE Annual Conference and Exposition: Making Value for Society, 2015.[46] F. V. Kowalski, S. E. Kowalski, and T. Q. Gardner, “Using mixed mobile computing devices for real-time formative assessment,” ASEE Annu. Conf. Expo. Conf. Proc., 2013, doi: 10.18260/1-2-- 22713.[47] L. D. Nguyen, R. O’Neill, and S. J. Komisar, “Using poll app to improve active learning in an
Annual Conference & Exposition Proceedings, Honolulu, Hawaii: ASEE Conferences, Jun. 2007, p. 12.430.1-12.430.19. doi: 10.18260/1-2--2302.[3] A. Haverkamp, M. Bothwell, D. Montfort, and Q.-L. Driskill, “Calling for a paradigm shift in the study of gender in engineering education,” Stud. Eng. Educ., vol. 1, no. 2, pp. 55–70, Feb. 2021, doi: 10.21061/see.34.[4] S. A. Male, A. Gardner, E. Figueroa, and D. Bennett, “Investigation of students’ experiences of gendered cultures in engineering workplaces,” Eur. J. Eng. Educ., vol. 43, no. 3, pp. 360–377, May 2018, doi: 10.1080/03043797.2017.1397604.[5] U. Nguyen, T. Russo‐Tait, C. Riegle‐Crumb, and K. Doerr, “Changing the gendered status quo in engineering? The encouraging and
and Audio Signal Processing. Wiley, 2000.[5] E. Petajan, “Automatic lipreading to enhance speech recognition,” in IEEE Conference on Communications, 1984.[6] J. Smith and M. Johnson, “Visual speech recognition in education: Opportunities and challenges,” Journal of Educational Technology & Society, vol. 13, no. 3, pp. 45–59, 2010.[7] G. Hinton et al., “Deep neural networks for acoustic modeling in speech recognition,” IEEE Signal Processing Magazine, vol. 29, no. 6, pp. 82–97, 2012.[8] W. Chan, N. Jaitly, Q. Le, and O. Vinyals, “Listen, attend and spell: A neural network for large vocabulary conversational speech recognition,” in Proceedings of the IEEE Conference on Acoustic Speech and Signal Processing, 2016.[9] J. S
students is only 32%.The program tried to contact the students after graduation and 38 students responded. Out ofthese 38 scholarship recipient students graduated, all of them are Employed in their professionalfield or entered Graduate school upon graduation, 100% success.3.4. Analysis of Student SurveyThe students’ self-evaluation or assessment can be taken as another instrument to measure theeffect of the scholarships and academic supports provided through this NSF grant on the studentsuccess, retention, and graduation. For this reason, a student survey was conducted among 33NSF scholarship recipient students, and a partial list of survey questions are shown in Table 3.Table 3. Partial list of Questionnaire from Student Survey. Q# Student
. 2019 March;(150).[10] Open Source Ecology, Real Life Bioreactor. Retrieved from https://wiki.opensourceecology.org/wiki/File:Real_life_bioreactor.png[11] Zhang, W. Et al, 2000, Modeling Pichia pastoris Growth on Methanol and Optimizing the Production of a Recombinant Protein, the Heavy- Chain Fragment C of Botulinum Neurotoxin, Sterotype A. Biotechnol Bioeng. Vol. 70, 1-8.[12] Kupcsulik, B. et al, 2005, Optimization of specific product formation rate by statistical and formal kinetic model descriptions of an HSA producing Pichia pastoris Muts strain, Chem Biochem Eng Q., Vol.19, 99-108.[13] Doran, P.M. (1995) Bioprocess Engineering Principles. Elsevier Science & Technology Books. P. 205-208[14] Nagy, Z.K. (2007) Model