of the 49th ACM Technical Symposium on Computer Science Education (SIGCSE ’18). ACM, New York, NY, USA, 876–881. https://doi.org/10.1145/3159450.3159508 [2] C.T. Amelink, K. Davis, B.G. Ryder, and M.O. Ellis. 2018. Exploring Factors Influencing the Continued Interest in a Computer Science Major. In 2018 ASEE Annual Conference & Exposition. ASEE, Washington,D.C., 16. [3] Auth0. 2019. DB Browser for SQLite. https://sqlitebrowser.org/. [4] balsamiq. 2019. balsamiq. https://balsamiq.com/learn/. [5] Thomas C. Bressoud and Gavin Thomas. 2019. A Novel Course in Data Systems with Minimal Prerequisites. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE ’19). ACM, New York, NY, USA, 15
$400K to ransomware hackers, 2019. Retrieved from: https://statescoop.com/georgia-county-paid-400k-to-ransomware-hackers/3. D. Kobialka, Regis University Cyberattack: What You Need to Know, 2019. Retrieved from: https://www.msspalert.com/cybersecurity-breaches-and-attacks/regis-university-cyberattack-what-you-need-to- know/4. Symantec, 10 cybersecurity facts and statistics for 2018, 2018. Retrieved from: https://us.norton.com/internetsecurity-emerging-threats-10-facts-about-todays-cybersecurity-landscape-that- you-should-know.html5. T. S. Chou, “Multi-Learning Techniques for Enhancing Student Engagement in Cyber Security Education,” American Society for Engineering Education (ASEE) Annual Conference and
. This exposed our students tocollaborators among different fields, with their own terminology, goals, work methods andpractical approaches. Our paper reports on the initial experiment during the Fall 2019 term,involving two sections of an Artificial Intelligence class and one section of a Deep Learningclass. We are planning to continue this collaboration in the future.Keywords: Collaborative Learning, Interdisciplinary, Inter-Class teamwork 1. IntroductionStudents at California Polytechnic State University, San Luis Obispo (Cal Poly) are exposed topractical, hands-on educational activities throughout their course of studies, reflected by theuniversity’s “Learn by Doing” motto. In the Computer Science, Software Engineering andComputer
Ph.D.in Educational Research and Policy Analysis from NC State University in 1996. She also has an MBA from Indiana University (Bloomington) and a bachelor’s degree from Duke University. She specializes in eval- uation and research in engineering education, computer science education, and technology education. Dr. Brawner is a founding member and former treasurer of Research Triangle Park Evaluators, an Ameri- can Evaluation Association affiliate organization and is a member of the American Educational Research Association and American Evaluation Association, in addition to ASEE. Dr. Brawner is also an Exten- sion Services Consultant for the National Center for Women in Information Technology (NCWIT) and, in that
Recruitment Tools” in 2019 CoNECD - The Collaborative Network for Engineering and Computing Diversity , Crystal City, Virginia. https://peer.asee.org/31798[7] V. White, S. Lee, L. Lineberry, J. Ivy, C. Grimes, “Illuminating the Computing Pathway for Women in Mississippi”, in 2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah. 10.18260/1-2--30596[8] K. Davis, S. Hardin, “Making STEM Fun: How to Organize a STEM Camp”, Teaching Exceptional Children, Vol. 45, No. 4, pp. 60-76, 2013.[9] http://www.alice.org/[10] https://cyber.org/[11] National Association of Colleges and Employers; “Career Readiness Defined”, https://www.naceweb.org/career-readiness/competencies/career-readiness-defined/[12] http
was conducted to identify the best search strings and databases for our goal[38]. After refining the list, the final search was conducted in March and April of 2020. Allqueries were conducted using the Google Scholar database, the Institute of Electrical andElectronics Engineers (IEEE) Xplore Digital Library, the Association for Computing Machinery(ACM) Digital Library, and conference proceedings from the American Society for EngineeringEducation (ASEE). We used the following search strings: computing interview, computing hiring,computing occupations, computing jobs, technical interviews, technical hiring, technicaloccupations, technical jobs, software engineer* interviews, software engineer* hiring, softwareengineer* occupations, software
Dakota State University and PhD from the University of Missouri-Columbia, all in electrical engineering. Dur- ing 2001-2016 he was the Dean of the College of Engineering and Computer Science at California State University, Fullerton. Prior to that he was the Head of the Electrical Engineering Department at RIT in Rochester, NY. Fullerton Chamber of Commerce recognized him in 2015 as the ”Educator of the Year.” In 2016 he received ASEE’s ”Distinguished Educator Award” from the ECE Division. Dr. Unnikrishnan was a member of the Accreditation Committee for American Society of Engineering Education (ASEE). He was a Commissioner of the Engineering Accreditation Commission of ABET during 2008-13 and chaired the
their availability to prepare, including non-computing related jobs, caring for a familymember, or ongoing health issues. While we do consider the support mechanisms students mayleverage to overcome obstacles, in general, these results emphasize the larger issues in existinghiring structures, and demonstrate the importance of not treating students as a monolith. Thefindings from this work are intended to inform educators about how to better prepare students tosucceed on technical interviews, and to encourage industry to reform the process to make it moreequitable.1 IntroductionBetween 2019 and 2029, demand for workers in computing occupations are expected to surge28.8% [1]. For specific positions the projected rate is even higher, with 35.0
and industry-sponsored competitions.Georgia Institute of Technology pairs this continuous learning with a formalized capstone designcourse to further promote experiential opportunities for its students. The student-run Design &Innovation development team embodies extracurricular experiential learning by designing anddeveloping bespoke software solutions to support Georgia Tech’s Interdisciplinary CapstoneDesign (IDCD) program. In 2013, the original team designed these solutions using Django, aPython-based web framework, and Ruby-on-Rails, a web framework written in Ruby. Atransition to the Infinite Blue Platform, a low-code application development platform, was madein 2019 to ensure application sustainability. This transition highlights
-achieving underserved computing students on the basis of gender, field, and year in school,” in 2018 CoNECD - The Collaborative Network for Engineering and Computing Diversity Conference. Crystal City, Virginia: ASEE Conferences, April 2018, https://peer.asee.org/29535.[16] “NSF scholarships in science, technology, engineering, and mathematics program (S-STEM),” https://www.nsf.gov/funding/pgm summ.jsp?pims id=5257, accessed: 2020-11-16.[17] K. Spiel, O. L. Haimson, and D. Lottridge, “How to do better with gender on surveys: A guide for HCI researchers,” Interactions, vol. 26, no. 4, p. 62–65, Jun. 2019. [Online]. Available: https://doi.org/10.1145/3338283[18] J. Mahadeo, Z. Hazari, and G. Potvin, “Developing a computing
Science Course. Paper presented at the ASEE IL-IN Section Conference, Evansville, IN. https://docs.lib.purdue.edu/aseeil- insectionconference/2019/curriculum/4/Steele, C. M. (2011). Whistling Vivaldi: How stereotypes affect us and what we can do: WW Norton & Company.Tobias, S. (1993). Overcoming math anxiety: WW Norton & Company.Van Overwalle, F. (1989). Structure of freshmen's causal attributions for exam performance. Journal of Educational Psychology, 81(3), 400.Walton, G. M., & Brady, S. T. (2017). The Many Questions of Belonging. Handbook of Competence and Motivation: Theory and Application, 272.Walton, G. M., & Cohen, G. L. (2011). A brief social-belonging intervention improves academic and
Technical Information Graphically for Improving Learning Competencies Paper presented at 2019 ASEE Annual Conference & Exposition, Tampa, Florida. https://peer.asee.org/32310[6] Jurowski, K., Jurowska, A., & Krzeczkowska, M. (2015). Comprehensive review of mnemonic devices and their applications: State of the art. International E-Journal of Science, Medicine & Education, 9(3), 4–9.[7] Berg, T., & Pooley, R. (2013). Contemporary Iconography for Rich Picture Construction. Systems Research & Behavioral Science, 30(1), 31–42. doi:10.1002/sres.2121.[8] Diehl, E. J. (2018, June), Using Cartoons to Enhance Engineering Course Concepts Paper presented at 2018 ASEE Annual Conference & Exposition
, this is the first study thatscales exercise set difficulty from the lower levels to the higher levels of Bloom’s Taxonomywithin AGTs. We study the effects on student learning efficiency, code quality of solutions, andstudent perceptions of their learning experience.MethodsWe ran a field experiment in a CS1 introductory course for non-majors at a large public universityin the Spring of 2019 with 264 enrolled students. This course is primarily taken by undergraduateengineering students, and it is required for their degrees. The course covers typical CS1 topicssuch as variables, plotting data, conditionals, loops, functions, string manipulation, arrays, fileI/O, etc. and the programming language is MATLAB. Students’ learning is assessed via
Paper ID #32620Work in Progress: Developing Undergraduate Research Experiences inUnmanned Aircraft Systems (UAS) CybersecurityDr. Matthew A. Verleger (He/His/Him), Embry-Riddle Aeronautical University Matthew Verleger is an Associate Professor of Engineering Fundamentals at Embry-Riddle Aeronautical University in Daytona Beach, Florida. His research interests are focused on using action research method- ologies to develop immediate, measurable improvements in classroom instruction and on the development of software tools to enhance engineering education. Dr. Verleger is an active member of ASEE, having served as the
, "SimPlus: An Experimental Simulation Tool", in Proceedings of the 2004 American Society for Engineering Education Annual Conference (ASEE'04), June 2004, Salt Lake City, Utah. Session 2420.8. Rajaei, H. Eid E., Kannungo, D., Ringerberg, J., 2011, "JSimPlus: A Tool for Teaching Simulation Techniques", in the 14th Communications and Networking Simulation Symposium, CNS'11, sponsored by ACM/SCS, April 4-11, Boston.9. Law, A. 2007, “Simulation Modeling & Analysis”, 4th Ed, McGraw Hill10. Harrell C, Ghosh B, and Bowden R, 2012 “Simulation Using ProModel”, 3rd Ed, McGraw Hill11. Chamberlain T, 2013, “Learning OMNeT++, Packt Publisher12. Virdis A, 2019 “Recent Advances in Network Simulation, the OMNeT Environment and its
the Diploma in EE from the National Technical University in Athens, his MS degree and Ph.D. degree in EE from the University of Connecticut, Storrs, CT, in 1981, 1983 and 1986, respectively. He is currently a Professor in the Department of EECS at the University of Central Florida in Orlando, FL. From September 2011 to June 2012 he served as the Interim Assistant Vice President of Research at the Office of Research and Commercialization. Since July 2013 he is serving as the Dean of the College of Engineering and Computer Science. c American Society for Engineering Education, 2019 Paper ID #27760
Unleashed website:https://engineeringunleashed.com/card/2403 [6]. The card provided the instructional materialmentioned within the paper including the full assignment write ups, examples of student work,instructor notes, rubrics, and an hour-long video presentation of the materials. All of thesematerials can be freely downloaded, modified, and used.Resources[1] “KEEN - Home,” KEEN - Home. [Online]. Available: https://engineeringunleashed.com/.[Accessed: 06-Mar-2021].[2] KEEN - The Framework. [Online]. Available: https://engineeringunleashed.com/framework.[Accessed: 08-Mar-2021].[3] J. B. Hylton, D. Mikesell, J.-D. Yoder, and H. LeBlanc. (2019) “Working to Instill theEntrepreneurial Mindset Across the Curriculum,” Entrepreneurship Education and
. c American Society for Engineering Education, 2019 Wireless Sensor Networks in Smart and Secure HomesAbstractRecent advances in wireless networks and electronics have led to the emergence of WirelessSensor networks (WSNs). These networks consist of small battery–powered motors with limitedcomputation and radio communication capabilities. Each sensor in a sensor network consists ofthree subsystems: the sensor subsystem which senses the environment, the processing subsystemwhich performs local computations on the sensed data, and the communication subsystem whichis responsible for message exchanges with neighboring sensors. WSNs comprise tiny wirelesscomputers that sense, process, and communicate environmental stimuli, including
research activities, have been invited to number of international conferences as Invited Speaker, chaired panel discussions and numerous international conference sessions. He has served on more than 220 international conference program committees. Furthermore, he has published number of articles in peer- reviewed international journals and conferences. He is an active member of ACM, ASEE, ASEE/PSW and CSAB.Dr. Shakil Akhtar, Clayton State University Dr. Shakil Akhtar is currently Professor of IT and Computer Science at Clayton State University. Be- fore this he was the IT Department head from July 2007 to December 2008. He was a Professor in the College of Information Technology at UAE University from 2002 to 2007
-WIE. She is also on the leadership team of the Kentucky Girls STEM collaborative network. c American Society for Engineering Education, 2019 USING A DATA SCIENCE PIPELINE FOR COURSE DATA: A CASE STUDY ANALYZING HETEROGENEOUS STUDENT DATA IN TWO FLIPPED CLASSESAbstractThis study presents a data science methodology to integrate and explore disparate student datafrom an engineering-mathematics course. Our methodology is based on exploratory data miningand visualization for analyzing and visualizing raw student data from multiple data sources. Theexploratory analysis serves two purposes, 1) it supports the instructor's desire to gain insightsinto the implementation of a flipped