Asee peer logo
Displaying all 5 results
Collection
2024 South East Section Meeting
Authors
Jennifer S. Brown, Clemson University; Marshal Fasika Rice, Clemson University; Karen A High, Clemson University
Tagged Topics
Diversity
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
Collection
2024 South East Section Meeting
Authors
Mourya Teja Kunuku, Kennesaw state university; Nasrin Dehbozorgi, Kennesaw State University
Tagged Topics
Diversity
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
Collection
2024 South East Section Meeting
Authors
Showkat J. Chowdhury, Alabama A&M University; Xiang Zhao, Alabama A&M University; Tamara Chowdhury, Alabama A&M University
Tagged Topics
Diversity
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
Collection
2024 South East Section Meeting
Authors
Matthew J. Traum, University of Florida; Amit Shashikant Jariwala, Georgia Institute of Technology; Christopher Aliperti, United States Military Academy; Randall A. Emert; Arwen H. DeCostanza
Tagged Topics
Diversity
Collection
2024 South East Section Meeting
Authors
Tim Ransom, Clemson University; Randi Sims, Clemson University; Jessica Allison Manning, Clemson University
Tagged Topics
Diversity