Paper ID #22172The Research Experience for Undergraduates (REU) Principal Investigators(PI) Guide: Development of a Best Practices WebsiteMs. Mariangely Iglesias Pena, Iowa State University Mariangely Iglesias Pena is an MS student in Human Computer Interaction at Iowa State University’s Virtual Reality Applications Center. Her background is in industrial design, which drives her interest in interactive and web design.Prof. Stephen B. Gilbert, Iowa State University Stephen B. Gilbert received a BSE from Princeton in 1992 and PhD from MIT in 1997. He has worked in commercial software development and run his own company. He
, Discuss the pros and cons of alternative technical solutions, and Debate possible evolutionary paths for the standard being analyzed.We propose six learning stages with specific learning objective in each stage. These aredescribed in continuation.3.1 ContextThe student needs to get familiar with the standard and the standardization mechanics. Theinstructor thus provides a) A high-level description of the standard with certain details, describing theoretical concepts and employed technologies, identifying relevant working parameters and expected system behaviors, b) The standard specifications and the relationships among the main and auxiliary documents, and c) The introduction to the software framework to be used
, "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
Paper ID #34578Curricular Improvement Through Course Mapping: An Application of theNICE FrameworkDr. Ida B. Ngambeki, Purdue University, West Lafayette Dr. Ida Ngambeki is an Assistant Professor of Computer and Information Technology at Purdue Univer- sity. Dr. Ngambeki graduated from Smith College with a B.S. in Engineering and from Purdue University with a PhD in Engineering Education. Dr. Ngambeki’s research is focused on the intersection of human behavior and computing, specifically how educational and policy interventions can be used to improve human interactions with technology. Dr. Ngambeki’s key areas of research
& Beilock, 2012). There is a lotof evidence that math anxiety robs individual’s working memory (Beilock & Willingham, 2014).The working memory's "space" or capacity is some fixed amount that varies from person toperson. It is used to solve problems and reason. If part of the working memory is occupied byanxiety, it is taking away from the fixed capacity that can be used to come up with a solution(Beilock, 2008). There is also neurological data that supports these findings (Young, Wu, &Menon, 2012).Attribution: How students attribute their failures and successes is also tightly linked to howstudents perform. A study looked at twelve factors to which most influenced success in acomputer programming course (B. C. Wilson & Shrock
MB LPDDR2 (shared with video) 1, 2, or 4 MB LPDDR3 (shared with video) Ethernet Ports 10/100 fast ethernet 10/100/100 gigabit ethernet Wireless 2.4 GHz 802.11n, Bluetooth 4.0 n/a USB Ports 4 USB 2.0, 1 USB micro B (for power) 2 USB 2.0 A, 1 USB 3.0 Storage MicroSD (though can boot from USB MicroSD, eMMC Medium flash drive or external hard drive with a change in boot configuration) Power Supply 5V, 2.5 A max (micro USB B) 5V, 3A max (3.5 mm Barrel Connector)Software and
). The resized image is either saved for database, or processed by a real timeface recognition system, which will be discussed in the following sections. The basics of facedetection using Haar Cascades can be found at [8]. Fig.2 shows the web camera screen with adetected face frame and saved face image (96x96 pixels). (a) (b) Fig.2 Fact detection: (a) video screen with a green rectangle identifying a detected face; (b) cropped face image for database or face recognition.2.3 Face Recognition After the face detection, we can assume that the images either for database or for recognitionare face-concentrated and resized to 96x96 pixels (e.g. Fig.2
'15 Proceedings of the 46th ACM Technical Symposium on Computer ScienceEducation, Kansas City, 2015.[9] Sahin A., Cavlazoglu, B., & Zeytuncu, Y. E. (2015). Flipping a College Calculus Course: ACase Study. Educational Technology & Society, 18 (3), 142–152.[10] Khribi, M. K., Jemni, M., & Nasraoui, O. (2008, July). Automatic recommendations for e-learning personalization based on web usage mining techniques and information retrieval. InAdvanced Learning Technologies, 2008. ICALT'08. Eighth IEEE International Conference on(pp. 241-245). IEEE.[11] Khribi, M. K., Jemni, M., & Nasraoui, O. (2015). Recommendation systems forpersonalized technology-enhanced learning. In Ubiquitous learning environments andtechnologies (pp. 159-180
number of images increased rapidly. (a) An image example of the first problem (b) A puzzle example for the second problemFigure 1. Problem examples. The second problem contains two bridge-puzzles, one easy and the other of mediumdifficulty; please see Figure 1 (b) for example. The puzzle rules are (a) to connect each island,which is represented as a circle, with the number of bridges shown inside the circle; (b) there canonly be two bridges connecting two islands; (c) a bridge must not overlap with other bridges orislands; and (d) there must be continuous link between all islands, which means there cannot beisolated island. Figure 1 (b) presents a solution that satisfies the puzzle’s rules. When solving the second problem, the
Cognitive Psychology, vol. 19, no. 4-5, pp. 494–513, 2007. [5] S. Freeman, E. O’Connor, J. W. Parks, M. Cunningham, D. Hurley, D. Haak, C. Dirks, and M. P. Wenderoth, “Prescribed active learning increases performance in introductory biology,” CBE-Life Sciences Education, vol. 6, no. 2, pp. 132–139, 2007. [6] S. Freeman, D. Haak, and M. P. Wenderoth, “Increased course structure improves performance in introductory biology,” CBE-Life Sciences Education, vol. 10, no. 2, pp. 175–186, 2011. [7] R. Heradio, L. de la Torre, D. Galan, F. J. Cabrerizo, E. Herrera-Viedma, and S. Dormido, “Virtual and remote labs in education: A bibliometric analysis,” Computers & Education, vol. 98, pp. 14–38, 2016. [8] M. Ergezer, B. Kucharski, and A
,” Journal of EngineeringEducation, vol. 100, no. 1, January 2011.[3] K. Beddoes and M. Borrego, “Feminist Theory in Three Engineering Education Journals:1995-2008,” Journal of Engineering Education, vol. 100, no. 2, April 2011.[4] L. R. Lattuca, D. B. Knight, H. Kyoung Ro, B. Novoselich. “Supporting the Development ofEngineers’ Interdisciplinary Competence.” Journal of Engineering Education, vol. 106, no. 1,January 2017.[5] M.A. Boden, M. A. Mind as machine: A history of cognitive science. Oxford University Press,2006.[6] M. Moack, “Difference Engine Leaves Computer History Museum,” Mountain View Voice,January 28, 2016[7] J. J. O’Connor, E. F. Robertson, "Luigi Federico Menabrea," MacTutor History ofMathematics archive, University of St Andrews
included (seeAppendix B) though the presentation is part of one overall grade. Students must complete theoral presentation in order to receive credit for the written report.The objectives of the report assignment and module are four-fold. Upon completion of thisreport and module, students should be able to: I. Increase their understanding of cross-cultural values related to rhetorical and design decisions as they pertain to UI design and human behavior as well as their respect for diversity, equity, and inclusion (DEI) in communication, design, and the engineering workplace. II. Gain an understanding of how to apply a modified content analysis to analyze website UIs and formulate results. III. Explain research
Council for 2018.Dr. Naupaka B. Zimmerman, University of San FranciscoMr. Jonah M. Duckles, Software Carpentry Jonah Duckles works to accelerate data-driven inquiry by catalyzing digital skills and building organiza- tional capacity. As a part of the leadership team, he helped to grow Software and Data Carpentry into a financially sustainable non-profit with a robust organization membership in 10 countries. In his career he has helped to address challenging research problems in long-term technology strategy, GIS & remote sensing data analysis, modeling global agricultural production systems and global digital research skills development.Tracy K. Teal, The Carpentries c American Society for
, latency, packet ACL Storage Security Queues congestion control loss monitoring Science DMZ sFlow / Netflow capability Friction-free path L1 L2/L3 L4 L5 Security Non friction-free path (a) (b)Fig. 3. (a) A Science DMZ co-located to the regular enterprise network. Notice the absence
Paper ID #32281Self-assessment of Knowledge Levels in the Subjects of Cyber Attacks andDefense in a Cybersecurity Awareness Education WorkshopDr. Te-Shun Chou, East Carolina University Dr. Te-Shun Chou is a Professor in the Department of Technology Systems (TSYS) at East Carolina University (ECU). He received his Bachelor degree in Electronics Engineering at Feng Chia University and both Master’s degree and Doctoral degree in Electrical Engineering at Florida International Univer- sity. He serves as the program coordinator of the Master program in Network Technology for TSYS and the lead faculty of Digital Communication
work at a college student conference.5. References[1] C. Herreid, "Case Studies in Science: A Novel Method of Science Education.," Journal of Research in Science Teaching, pp. 221-229, 1994.[2] V. Lee, "What is inquiry-guided learning?," New Directions for Teaching and Learning, 2012.[3] J. L. David, "What Research Says About Project-Based Learning," Educational Leadership, pp. 80-82, 2008.[4] R. D. De Veaux, M. Agarwal, M. Averett, B. S. Baumer, A. Bray, T. C. Bressoud, L. Bryant, L. Z. Cheng, A. Francis, R. Gould, A. Y. Kim, M. Kretchmar, Q. Lu, A. Moskol, D. Nolan, R. Pelayo, S. Raleigh , R. Sethi, M. Sondjaja, N. Tiruviluamala, P. X. Uhlig, T. M. Washington, C. L. Wesley, D. White and P. Ye, "Curriculum Guidelines for
. & Dorward, (2018, June), “Factors Influencing the Interest Level of Secondary Students going into STEM fields and their parents’ perceived interest in STEM “ in 2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah. 10.18260/1-2--30507[4] P. Sexton, M. Wade, & B. Watford, “ Engineering Summer Camps: Do They Increase Engineering Enrollments?” in 2003 ASEE Annual Conference, Nashville, Tennessee. 10.18260/1-2--12574[5] A. Genau, “Initiation of Summer Camp Program as Outreach and Recruiting Tool” in 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. 10.18260/1-2--20646[6] M. Schilling, & M. Pinnell, M. “The Effectiveness of Engineering Camps as Pre-college
Paper ID #26915Gender Equality in the Information Systems and Technology Fields: A Com-prehensive Diagnosis at the School of Engineering of the University of MinhoProf. Rosa Maria Castro Fernandes Vasconcelos, University of Minho Rosa Maria de Castro Fernandes Vasconcelos is a Associate Professor at the Department of Textile Engi- neering since 2005. Degree in Textile Engineering by the University of Minho. Professor at the University of Minho since 1984. PhD in Engineering –Technology and Textile Chemistry by the University of Minho in 1993. Rieter Award, 1993. Responsible for several curricular units in the integrated
Paper ID #22838A Flipped Active-learning Class to Support Diverse Students in a Large In-troduction to Programming ClassProf. Laura Kay Dillon, Michigan State University Laura Dillon is a professor and past Chair of Computer Science at Michigan State University (MSU); before joining MSU, she was a professor at the University of California, Santa Barbara. Her research centers on formal methods in software engineering, specification, and analysis of concurrent software systems. An ACM Distinguished Scientist, Laura has served on numerous editorial boards, program committees, funding panels, and advisory committees—most
frequently mentioned difficulties with procrastination and timemanagement (Figure 1.b). (a) (b)Figure 1 - Word cloud representation of responses regarding (a) strengths and (b) weaknesses as students.Students were also asked to describe the most interesting fact or concept learned in a class insideand outside of their major, respectively. Figure 2.a represents a word cloud representation ofanswers pertaining to concepts learned inside their major. Interestingly, human-related topicswere by far the most common answer provided, a pattern that is likely quite different than thatobserved in students taking standard programming or engineering courses. With respect toconcepts
), ar33. https://doi.org/10.1187/cbe.14-11-0206Wylie, C. D., Neeley, K. A., & Helmke, B. P. (2020). WIP: Undergraduate research experiences survey (URES) and engineering identity. ASEE Annual Conference and Exposition, Conference Proceedings, 2020-June. https://www.asee.org/public/conferences/172/papers/30991/viewAppendix – Survey Responses
Paper ID #25423Work in Progress: A Web-Based Tool to Assess Computational ThinkingProf. Alka R. Harriger, Purdue University Alka Harriger joined the faculty of the Computer and Information Technology Department (CIT) in 1982 and is currently a Professor of CIT. For the majority of that time, she taught software development courses. From 2008-2014, she led the NSF-ITEST funded SPIRIT (Surprising Possibilities Imagined and Real- ized through Information Technology) project. From 2013-2018, she co-led with Prof. Brad Harriger the NSF-ITEST funded TECHFIT (Teaching Engineering Concepts to Harness Future Innovators and
Paper ID #30661Cybersecurity Awareness and Training Through a Multidisciplinary OSINTCourse ProjectAlyssa Mendlein, Temple University Alyssa is a PhD student in the Department of Criminal Justice at Temple University. She earned a Bachelor of Arts in Psychology from Boston University and a Master of Philosophy in Criminological Research from the University of Cambridge. She is now working on an NSF CAREER grant for Dr. Aunshul Rege, exploring adversarial decision-making and cybersecurity education innovation.Ms. Thuy-Trinh Nguyen, Temple University Trinh is a PhD student in the Department of Criminal Justice at Temple
Paper ID #29158Incorporating Practical Computing Skills into a Supplemental CS2Problem Solving CourseProf. Margaret Ellis, Virginia Tech Assistant Professor of Practice, Computer Science Department, Virginia Tech My research interests include examining ways to improve engineering educational environments to facil- itate student success, especially among underrepresented groups.Dr. Catherine T. Amelink, Virginia Tech Dr. Amelink is Acting Vice Provost for Learning Systems Innovation and Effectiveness, Virginia Tech. She is also an affiliate faculty member in the Departments of Engineering Education and Educational
Foundation [CollaborativeResearch: Florida IT Pathways to Success (Flit-Path) NSF# 1643965, 1643931, 1643835]. Anyfindings, conclusions, and recommendations expressed in this work do not necessarily reflect theviews of the National Science Foundation.References[1] A. Hogan and B. Roberts, “Occupational employment projections to 2024,” Mon. Labor Rev., 2017.[2] “Bureau of Labor Statistics, U.S. Department of Labor, Occupational Outlook Handbook, Computer Programmers, on the Internet at https://www.bls.gov/ooh/computer-and- information-technology/computer-programmers.htm (visited January 29, 2019).” .[3] X. Chen, Stem Attrition: College Students & apos Paths into and Out of StemFields. Statistical Analysis Report
) to “Extremely Supportive” (4), as shown in Figure 6B. Mostoften, students reported that their home environment was extremely supportive (61.2%).Figure 6: Number of friends students reported having in computing (A.), and how supportive theirhome environment is towards computing (B.)5.2.2 Variations in Cultural Experiences by Gender, Race, and EthnicityAlthough we did examine the prevalence of cultural experiences across all students, suchmeasures fail to account for the nuances that may exist between students of different genders,races, and ethnicities. Scholars have previously discussed the importance of applying critical racetheory when conducting quantitative research to create a more accurate picture of individualexperiences [46
Paper ID #26401How an NSF S-STEM LEAP Scholarship Program Can Inform a New Engi-neering ProgramDr. 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
Course Truck (1/16th scale) was used in this build 1. A Raspberry Pi 3B+ 2. A PCA9685 PWM controller. 3. A microSD card, at least 8GB in capacity. 4. SanDisk Extreme 32GB microSDHC card 5. An external battery to power Raspberry Pi. 6. A Pi Camera with ribbon cable. 7. An external battery to power Raspberry Pi. a. Mobile device power banks typically come with a USB A to Micro USB cable, which will fit the micro USB port on the Raspberry Pi. b. An Anker Astro E1 power bank was used in this build. 8. Dupont female to female jumper cables. a. This is to connect the Pi to PWM controller board. 9. A Pi Camera with ribbon cable. a. A fisheye lens is recommended, for a wider
and LED gun. The gun consisted of a smallprotoboard Velcroed to a toy gun. The gun was comprised of a switch button, the CMOS buffergate and the infrared LED. Figure 2: System level view of the infrared laser tag systemThis project was programmed in C using the Keil µVision 4.0 IDE. The code was compiled inµVision using GNU Compiler Collection (GCC). The build was sent to the board using theboard’s built-in micro USB cable.Sending the SignalMain on the board initializes ports F, B, and C; the SysTick timer; and port C edge-triggeredinterrupts. After initialization, main sets the health bar color to green and uses the PortF_Outputfunction to output the code for the color green to DATA in the port F data register, which
preparation for the oral proficiency exams. The negative skew in the Figure1(b) histogram and the mean quantified value of 2.86 support a moderate increase in studentreported motivation for independence in their work in preparation for the oral proficiency exams.Furthermore, student responses to these two questions are moderately correlated, with a highlysignificant (p-value of 1.91 ´ 10-36) correlation coefficient of 0.635. Thus, students who report anincrease in motivation to achieve a deeper understanding of the material due to the codinginterview intervention are also more likely to report approaching their work with higher levels ofindependence as a result of the oral proficiency exams. The coding interviews