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The CAHSI INCLUDES Alliance: Realizing Collective Impact

Conference Session
Computing and Information Technology Division Technical Session 7
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Elsa Q. Villa, University of Texas at El Paso; Ann C. Gates, University of Texas at El Paso; Sanga Kim, University of Texas at El Paso ; David S. Knight, University of Washington
Tagged Topics
Diversity
Tagged Divisions
Computing and Information Technology
Paper ID #31526The CAHSI INCLUDES Alliance: Realizing Collective ImpactDr. Elsa Q. Villa, University of Texas at El Paso Elsa Q. Villa, Ph.D., is a research assistant professor at The University of Texas at El Paso (UTEP) in the College of Education, and is Director of the Center for Education Research and Policy Studies (CERPS). Dr. Villa received her doctoral degree in curriculum and instruction from New Mexico State University; she received a Master of Science degree in Computer Science and a Master of Arts in Education from UTEP. She has led and co-led numerous grants from corporate foundations and state and
Relevance Score: 1.0900496

Evaluating the Effectiveness of Lab Practice in the Context of Prior Programming Experience in an Introductory Programming Course

Conference Session
Computing and Information Technology Division Technical Session 3
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Caleb James O'Malley, University of Florida; Ashish Aggarwal, University of Florida
Tagged Topics
Diversity
Tagged Divisions
Computing and Information Technology
reduced, allowing for more detailed and interesting findings.3.2.5 Tests for AssumptionsIn order to understand the validity of our data set and the subsequent analysis, a few assumptionsmust first be tested which the factorial ANOVA takes into account. The assumption of normalitywas tested via examination of the residuals. Review of the Shapiro–Wilk (S-W) test fornormality and skewness and kurtosis statistics suggest whether or not normality was a reasonableassumption. The boxplot of the residuals is analyzed for a relatively normal distributional shape.The Q–Q plot and histogram are also examined for normality. The assumption of homogeneityof variance (homoscedasticity) is tested by conducting Levene’s test.Random assignment of individuals to
Relevance Score: 0.035305865

An Empirical Study for Multilevel Cache Associativity

Conference Session
Computing and Information Technology Division Technical Session 7
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Hassan Rajaei, Bowling Green State University
Tagged Divisions
Computing and Information Technology
. Hardy D, Puaut I. WCET Analysis of Multi-level Non-inclusive Set-Associative Instruction Caches. IEEE, December, 200810. Srikantaiah S, Kultursay E, Zhang T, Kandemir M, Irwin M.J, Xie Y. MorphCache: A Reconfigurable Adaptive Multi-level Cache hierarchy. IEEE, February, 201111. Kecheng Ji, Ling M, Wang Q, Shi L., Pan J., AFEC An Analytical Framework for Evaluating Cache performance in out of order processors. In 2017 Design, Automation & Test in Europe Conf. & Expo.12. Yavits L., Morad A., Ginosar, Cache Hierarchy Optimization. In IEEE COMPUTER ARCHITECTURE LETTERS, VOL.13, NO. 2, 2014.13. Waldspurger C, Saemundson T., Ahmad I. and Park N., Cache Modeling and Optimization using Miniature Simulations. In 2017 USENIX
Relevance Score: 0.024965018

Attitude Shifts and Transformation During Computer Science and Engineering Student Internships

Conference Session
Computing and Information Technology Division Technical Session 1
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Mia Minnes, University of California, San Diego; Sheena Ghanbari Serslev, University of California, San Diego ; Madison Edwards
Tagged Divisions
Computing and Information Technology
their internship. The majority of students’ plans centered around their behaviorback at school; we’ll mention one theme that emerged concerning their future job search plans. Many students spoke of how participating in their internships increased their awareness of specializedsub-disciplines within CSE. This new knowledge informed their elective course choices, with studentsmentioning interest in upper-division networking, artificial intelligence and machine learning, databases,web development, security, advanced math and statistics, and more. Some students also planned totake non-CSE classes to round out their education, for example in management, public speaking, or design. TABLE I Q
Relevance Score: 0.017832156

Internet of Things Forensics in Smart Homes: Design, Implementation, and Analysis of Smart Home Laboratory

Conference Session
Computing and Information Technology Division Technical Session 5
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Shinelle Hutchinson, Purdue University, West Lafayette; Yung Han Yoon, Purdue University, West Lafayette; Neesha Shantaram; Umit Karabiyik, Purdue University, West Lafayette
Tagged Topics
Diversity
Tagged Divisions
Computing and Information Technology
/BigDataSE), pp. 1446–1451, IEEE, 2018.[11] S. Sathwara, N. Dutta, and E. Pricop, “Iot forensic a digital investigation framework for iot systems,” in 2018 10th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), pp. 1–4, IEEE, 2018.[12] A. MacDermott, T. Baker, and Q. Shi, “Iot forensics: Challenges for the ioa era,” in 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS), pp. 1–5, IEEE, 2018.[13] G. Dorai, S. Houshmand, and I. Baggili, “I know what you did last summer: your smart home internet of things and your iphone forensically ratting you out,” in Proceedings of the 13th International Conference on Availability, Reliability and Security, pp. 1–10, 2018
Relevance Score: 0.015131086