to Increase Engagement in the Classroom: science. Communications of the ACM (Jun. 2001), 44(6), A Case Study in Science and Engineering; Proceedings of pp.27-30. DOI= http://doi.acm.org/10.1145/376134.376145 the American Society for Engineering Education ASEE;[10] Roberts, E.S., Kassianidou, M. and Irani, L., 2002. Columbus, OH; June 2017 Encouraging women in computer science. ACM SIGCSE [24] Khan, A. Egbue, O, Palkie, B. (2016); Active learning: Bulletin – Women and Computing (Jun. 2002), 34(2), 84-88. Engaging students to maximize learning in an online course; DOI= http://doi.acm.org/10.1145/543812.543837 EJEL- Electronic Journal of e
at the University of Western Ontario. I earned my PhD, MS, and BS in Electrical & Computer Engineering from Michigan State University in East Lansing. Before completing my PhD, I joined Intel Incorporation to work on the P6 line of processors and chipsets. While pursuing my PhD, I developed a financial web application that helped colleges at Michigan State University to streamline their finances.Matthew Schweinefuss c American Society for Engineering Education, 2019 Data-Driven Investigation of Curiosity in Student Text Responses1. IntroductionLearning how to learn and apply new knowledge is a vital skill students need to develop. Astudent’s
be directly measured. Except for Q2, the treatmentgroup took slightly longer than the control group. T-test results show that the difference between (a) Number of Submissions (b) Time (in minutes) between a student’s First and Last Attempt Figure 2: Submission Details per Questionthe groups was statistically significant for Q2(p=0.019), Q4(p=0.003), Q7(p=0.004) andQ8(p=0.04). So the treatment group had more submissions on the Apply and Analyze-typequestions and also took longer to complete.Code Quality (RQ2)We also inspected the quality of the students solutions. The solutions for Analyze and Apply typeexercises results in very similar solutions
. This first year will serve as a pilot to gain insight and feedback into the survey andassignment.Below is the table containing KEEN framework category [3], KEEN related course outcomes[4], and the artifact(s) that will be used to assess each outcome. Appendix B provides theInstructor/Peer Video Rubric and Self-Reflection Rubric and appendix C contains the surveysgiven to the students. Category of KEEN KEEN Related Course Assessment Plan Related Course Outcome [4] Outcome [3] Related to Curiosity Take ownership of, and express Grade on Video interest in topic/expertise/project. Communication Present technical information Grade from rubric on these portions
was subsequently excluded from any application or acceptance calculation, but was included in new enrollments, declared majors, and graduations. b Net Increase Percent: 100 percent equals no change, above 100% indicates a net increase; for example, 122% represents a 22% increase above the pre-program year. Values ≥ 200% represent a doubling (or more) of raw numbers for the category and group represented in the row.More salient to this study, substantial growth was also observed in the number of women’sapplications, acceptances, new enrollments, and declared majors across the seven schools.Comparing the pre-program year (AY 2011-2012) with the post-program year (AY 2014-2015),both the number of women who applied
about their research and use of HPC: (a) Gender distribution (b) Race/ethnicity (c) Class standingFig. 1: Demographics of the 53 applicants received by the Clarkson University HPC REU Sitein 2019.Point 1: Both the faculty researchers and their graduate students are short on professionaltraining regarding the use and development of HPC techniques. Therefore, it is often difficultfor them to develop full-fledged HPC applications by adopting and customizing state-of-the-artopen source HPC tools (e.g., OpenFOAM [12], Geant4 [13]) or by developing their ownin-house simulators to address their HPC needs. This is because the engineering researchersand students are unfamiliar with the specific parallel and distributed
Internet of Things (IoT),” in 2018 2ndopportunities for the general user to start diving into International Conference on Inventive Systemsand discovering how these IoT devices interact. These and control (ICISC), 2018, pp. 1156–1161.tools can be integrated into the educational [5] A. Cooper et al., “Privacy considerations forenvironment fostering learning and offer keen insights internet protocols,” Internet Archit. Board, 2013.otherwise hidden. Teachers would have the [6] C. Srinivasan, B. Rajesh, P. Saikalyan, K.opportunity to guide students through tasks that reveal Premsagar, and E. S. Yadav, “A review on thethe protocols used by various devices and further
University of California, San Diego sserslev@ucsd.edu Madison Edwards Chemistry and Biochemistry University of California, San Diego m4edward@ucsd.edu Abstract This study explores how industry internships, paired with scaffolded reflection, shape student attitudes and learning behaviors. Building upon the literature on student motivation, we seek to answer the following question: how do internships influence student attitudes towards their studies and their future approaches towards learning? Data at three critical points in a student
lowest enrollments andwould more naturally be in growth mode.Another common aspect is that both Departments include another degree program (ElectricalEngineering for Computer Engineering and Software Engineering for Computer Science) whilethe other two Departments in the School offer a single undergraduate program (Biomedical,Mechanical Engineering).The origin of the 3.0 GPA requirement in the policy is that B level (3.0 GPA) coursework isrequired for students to join the Fast Track program, a program that allows undergraduates toenroll in graduate classes. As with Fast Track, it was felt that something higher than “goodstanding” (i.e. C-level work or 2.0 GPA) would be appropriate to avoid lowering the quality ofthe programs by flooding them
10 .920 4.26 (1.13) Preferred Learning Situationsc 11 .869 5.42 (1.56) Learning Strategies used in class (general)d 15 .890 5.35 (1.43) MSLQ- Motivation - Task Valuee 6 .909 5.71 (1.21) MSLQ – Critical Thinkinge 5 .888 5.05 (1.46) MSLQ – Self-Regulatione 11 .821 5.049 (1.45) MSLQ – Time and Student Environment Management e 8 .491 4.87 (1.61) a=5-point scale (1=Strongly Disagree…5=Strongly Agree) b=7-point scale (1=Not at all important …7=Extremely important
Hardware/Software, report presentation, Started the project Student A ECET purchasing, data Fall 2017 Sp, Su, Fa 2017 collection and analyzing Hardware, Worked on the Student B ECET purchasing, manual Summer 2017 project Sp, Su 2017 preparation
Long Island University, where she also serves as director of the Usability Lab. Dr. Zhang holds a Ph.D. and an M.S. in information and library studies from the University of Michigan, Ann Arbor, and an M.S. and a B.S. in cognitive psychology from Peking University in Beijing, China. Prior to joining Long Island University in 2006, she worked at Drexel University, IBM Waterson Research Center, and Institute of Psychology at Chinese Academy of Science. Dr. Zhang’s general research areas are human-computer interaction (HCI), knowledge management (KM), social informatics and distance learning. Her primary interests lie in the areas of computer-supported cooperative work (CSCW) and computer-mediated communication
Paper ID #27134Wireless Sensor Networks in Smart and Secure HomesDr. Afsaneh Minaie, Utah Valley University Afsaneh Minaie is a Professor and Chair of Engineering Department at Utah Valley University. She re- ceived her B.S., M.S., and Ph.D. all in Electrical Engineering from University of Oklahoma. Her research interests include gender issues in the academic sciences and engineering fields, Embedded Systems De- sign, Mobile Computing, Wireless Sensor Networks, Nanotechnology, Data Mining and Databases.Dr. Reza Sanati-Mehrizy, Utah Valley University Reza Sanati-Mehrizy is a professor of Computer Science Department at Utah
Paper ID #34155Haptics in AviationDr. Afsaneh Minaie, Utah Valley University Afsaneh Minaie is a Professor and Chair of Engineering Department at Utah Valley University. She re- ceived her B.S., M.S., and Ph.D. all in Electrical Engineering from University of Oklahoma. Her research interests include gender issues in the academic sciences and engineering fields, Embedded Systems De- sign, Mobile Computing, Wireless Sensor Networks, Nanotechnology, Data Mining and Databases.Mr. Joshua D. Neeley, Utah Valley University Joshua Neeley is an Electronics Engineer working for the United States Air Force. He received his B.S. in
Paper ID #21251Teaching Directory Services: Topics, Challenges, and ExperiencesDr. Yu Cai, Michigan Technological University Dr. Yu Cai is an associate professor and program chair in the Computer Network and System Adminis- tration (CNSA) program at the School of Technology, Michigan Technological University. His current research interests include cyber security and medical informatics. He is particularly interested in applying his research and techniques to real-life applications. He has been a consultant to many companies includ- ing IBM and Ford. Dr. Cai serves in editorial boards of several international journals. He
Paper ID #29938I-Tracker: Warranty TrackingDr. Mudasser Fraz Wyne, National University I have a Ph.D. in Computer Science, M.Sc. in Engineering, and B.Sc. in Electrical Engineering. Currently I serve as Professor of Computer Science at School of Engineering and Computing, National University. I am also the Program Lead for MS in Computer Science and have also served recently as the lead for BSc in Information Systems, the co-Lead for MSc Computer Science and Program Lead for MSc in Database Administration programs. My association with ABET (Accreditation Board of Engineering and Technology) US dates back to 2001, as a
Paper ID #24002Teaching Theoretical Computer Science and Mathematical Techniques to Di-verse Undergraduate Student PopulationsDr. Predrag T. Tosic, University of Idaho Predrag Tosic is an early mid-career researcher with a unique mix of academic research, industrial and DOE lab R&D experiences. His research interests include AI, data science, machine learning, intelli- gent agents and multi-agent systems, cyber-physical/cyber-secure systems, distributed coordination and control, large-scale complex networks, internet-of-things/agents, and mathematical and computational models and algorithms for ”smart” transportation
Paper ID #25774Board 26: Automatic Creation of Fine-Grained Vulnerable Windows Systemfor Penetration Testing EducationMiss Arati Banerjee, University of Central Florida Undergraduate Researcher in a National Science Foundation supported research experience at the Univer- sity of Central Florida.Dr. Damla Turgut, University of Central Florida Damla Turgut is an Associate Professor at the Department of Computer Science at University of Cen- tral Florida. She received her BS, MS, and PhD degrees from the Computer Science and Engineering Department of University of Texas at Arlington. Her research interests include wireless ad
of UCLA Extension’s Entertainment Studies & Performing Arts department, helping coordinate academic projects and special events, and later as a program representative, managing domestic and international custom-designed sem- inar programs. For several years during his tenure at UCLA Extension, Mark also served as a co-instructor for the capstone online class ”The Business of Hollywood,” which employed a unique role-playing ele- ment to explore strategies of film financing and negotiation. Before joining UCLA Extension, Mark was a development executive at an independent feature film production company, Echo Lake Productions. He has also worked as a freelance script analyst for Silver Pictures. Mark holds a BA
Paper ID #23139Magnitude Museum: Game-based Learning for Nanosizes, Dimensions, andNanotechnology TerminologyDr. Reza Kamali-Sarvestani, Utah Valley UniversityBrian Durney, Utah Valley University Brian Durney teaches computer science at Utah Valley University. His research interests are educational games and game AI. c American Society for Engineering Education, 2018 Magnitude Museum: Game-Based Learning for Nanosizes, Dimensions, and Nanotechnology TerminologyAbstractMagnitude Museum is an educational game that helps students develop a sense of scale andunderstand the
technical articles in international conferences and journals. Dr. Seliya is proactive in scholastic work and computing sciences pedagogy, including grants, undergraduate research, and curriculum development. His prior professional endeavors include: Assistant (& Associate) Professor of Computer and Information Science at the University of Michigan-Dearborn; Adjunct Instruc- tor of Computer Science and Technology at the State University of New York, Orange; and, President and Senior Software Engineer at Health Safety Technologies, LLC.Mr. Collin Lee Kemner, Ohio Northern University Mr. Collin Lee Kemner is a current student at Ohio Northern University. He is set to graduate with a B.S. in Computer Science in May 2019
/creative and communication skills. c American Society for Engineering Education, 2020Drawn together: Integrating words with visuals while annotating textbooks and articles for strengthening competencies in computer networking technologyAbstractComputer electronics and networking technology textbooks and technical documentation aboundwith jargon, specialized symbols, complicated procedures, mathematical maneuvers, along withnumerically dense charts and tables. These can make the text difficult for a student to navigateeffectively, often making it a task reserved during the exams if that. Annotating documents canbe instrumental in providing students with both a broader and more in-depth grasp of the content.It
Paper ID #27115Using An Engineering Analysis Tool for Department AdministrationDr. Hugh Jack P.E., Western Carolina University Dr. Jack is the Cass Ballenger Distinguished Professor of Engineering and Department Head of the School of Engineering and Technology within Western Carolina University. His interests include robotics, automation, and product design. c American Society for Engineering Education, 2019Using An Engineering Analysis Tool for Department AdministrationAbstractThe paper describes a basic application created using Matlab to assist in academic scheduling oftechnical programs. The work
Paper ID #34126Linear Transform SortMr. Soren Peter Henrichsen, Utah Valley University Soren Henrichsen is a student at Utah Valley University. His interests include artificial intelligence, algo- rithms, robotics, machine learning, and statistics.Dr. Reza Sanati-Mehrizy, Utah Valley University Reza Sanati-Mehrizy is a professor of the Computer Science Department at Utah Valley University, Orem, Utah. He received his M.S. and Ph.D. in Computer Science from the University of Oklahoma, Norman, Oklahoma. His research focuses on diverse areas such as Database Design, Data Structures, Artificial Intelligence, Robotics
Paper ID #29171Cyber-Physical Systems Security Introductory Course for STEM StudentsProf. Sin Ming Loo, Boise State University Sin Ming Loo is a professor at Boise State University with interests in sensor systems and cyber-physical systems security research and education. He is responsible for Hartman Systems Integration and Cyber Lab for Industrial Control Systems laboratories. He holds a joint appointment with Idaho National Lab. He is a member of IEEE/CS, ISSA, Tau Beta Pi, and amateur radio (KI4AKS). nLiljana Babinkostova c American Society for Engineering Education, 2020 Cyber-Physical
Paper ID #26473Enhancing Student Learning Experiences in Computer Programming Classesusing RoboticsDr. Masoud Naghedolfeizi, Fort Valley State University Dr.Masoud Naghedolfeizi is a senior professor in the Department of Mathematics and Computer Science at Fort Valley State University. His academic background includes a B.S. in Mechanical Engineering with minor in instrumentation and control, an M.S. in Metallurgical Engineering, and M.S. and Ph.D. in Nuclear Engineering. Dr. Naghedolfeizi’s research interests include instrumentation and measurement systems, applied articial intelligence, machine learning, and engineering
Paper ID #34347Computing Ethics for the Ethics of ComputingDr. Robin K. Hill, University of Wyoming Dr. Hill is an adjunct professor in both the Wyoming Institute for Humanities Research and the Phi- losophy Department of the University of Wyoming, and a Lecturer in Computer Science. She currently writes a blog on the philosophy of computer science for the online Communications of the ACM. Her teaching experience includes logic, computer science, and information systems courses for the University of Wyoming, University of Maryland University College (European Division), State University of New York at Binghamton
Paper ID #29525Predicting Retention Rates from students’ Behavior.Dr. Awatif Amin, Johnson C. Smith University Awatif Amin is a computer science Assistant professor at Johnson C. Smith University scince 2001. She primarily focuses on programming and data analytics. She completed her Doctorate of Management in organizational Leadership with specialization in Information System Technology (DM/IST), She earned her B.S. and M.S. in Computer Science. c American Society for Engineering Education, 2020 Predicting Retention Rates from students’ Behavior.AbstractMachine learning and Data mining
Paper ID #29618Final Report on LEAP at UVU: An NSF S-STEM ProjectDr. Afsaneh Minaie, Utah Valley University Afsaneh Minaie is a Professor of Electrical and Computer Engineering and Chair of Engineering De- partment at Utah Valley University. She received her B.S., M.S., and Ph.D. all in Electrical Engineering from University of Oklahoma. Her research interests include gender issues in the academic sciences and engineering fields, Embedded Systems Design, Mobile Computing, Wireless Sensor Networks, Nanotech- nology, Data Mining and Databases.Dr. Reza Sanati-Mehrizy, Utah Valley University Reza Sanati-Mehrizy is a
Internet and the usage of computer and mobileapplications, the need for cybersecurity professional and experts will continue to expand.Therefore, graduating students who have proper cybersecurity instruction becomes a necessity.This can be achieved by incorporating modern security analysis tools and engaging students inbuilding secure systems throughout the undergraduate curriculum. The primary goals are: 1) tohave more systems and products with fewer exploits and vulnerabilities, and 2) to increase thenumber of professional individuals who are interested in cybersecurity careers and have the propercybersecurity knowledge and training.One key challenge in implementing and designing cybersecurity exercises in classrooms is havingthe proper