felt they had gained new knowledge and skills, thatmade them, if not expert, then competent practitioners.Future work may include investigation of any connections between the self-directed learnercharacteristics of these groups and the use of educational technology or increased competency inthe data science technologies that are the focus of the research experience. Future work will alsoinclude quantitative evaluation of lesson plans and classroom implementation for evidence ofincreased practice in computational thinking and more student-centered, inquiry-based lessonplans.References[1] S. Chen, H. Xu, D. Liu, B. Hu, & H. Wang, “A vision of IoT: Applications, challenges, andopportunities with China perspective,” IEEE Internet of Things
, VA: National Science Foundation; 2015 https://www.nsf.gov/statistics/2016/nsf16300/[2] Sowell R, Allum J, Okahana H. Doctoral initiative on minority attrition and completion. Washington, D.C. 2015 http://cgsnet.org/ckfinder/userfiles/files/DIMAC_2015_final_report_PR.pdf[3] Sowell, R. S., Zhang, T., Bell, N., & Redd, K. (2008b). Ph.D. completion and attrition: Analysis of baseline demographic data from the Ph.D. Completion Project. Washington, DC: Council of Graduate Schools.[4] A. Kezar and P. Eckel, “Examining the institutional transformation process: The importance of sensemaking, interrelated strategies, and balance,” Research in Higher Education, vol. 43, no.3, pp 295-328, June
collection.We would also like to thank the students, instructors, and teaching assistants of the course fortheir participation in the study.References:[1] Mennin, S. (2007). Small-group problem based learning as a complex adaptive system. Teaching and TeacherEducation, 23, 303-313.[2] Johnson, D. W., & Johnson, F. P. (1991). Joining together: Group theory and group skills. Prentice-Hall, Inc.[3] Bhavnani, S. H., & Aldridge, M. D. (2000). Teamwork across disciplinary borders: A bridge between collegeand the work place. Journal of Engineering Education, 89(1), 13-16.[4] Bahner, B. (1996). Report: curricula need product realization. Mechanical Engineering-CIME, 118(3), S1-S1.[5] Ford, M., & Morice, J. (2003). Using micro management techniques
law enforcementprofessionals. Teams had to craft an eighteen-minute presentation describing the who, what,where, when, why, how(s) of the crime as well as discussing privacy or moral issues. Judges wereable to then ask the teams questions for two minutes.For the 2017 competition, each of the sixteen teams were given a vehicle to search and seizephysical items and digital devices. A laptop was placed in an obvious location, as well as otherdigital devices such as an external hard drive, Ring doorbell, and Amazon Echo device. Otherdigital devices, such as an SD card, were placed in much more difficult places to find, but oftenwere hinted at by the digital evidence trail, such as Windows device connection logs. Digitalevidence was often
5 10 15 20 25 0 50 100 150 Time(s) Time(s) Figure 7. Time history of (a) Northridge earthquake and (b) Chi-Chi earthquake The parameter sets are applied to the one-bay-one-frame model to perform the dynamicanalysis, and the maximum story drift are recorded. Figure below shows the histogram of 10000dynamic analysis results. From Figure 8, it can be observed that the uncertainty of maximumstory drift ratio can be evaluated. (a
assessmentof different course designs. During the fall 2019 we would again ask students to assess differentcourse designs as well as compare resulting grades from two session of the same class.AcknowledgementsWe would like to thank Kimberly Gottula for her help in developing this paper. Her class projecton LMS course design and additional directed research, including suggestions for navigationdesigns, were invaluable in writing this paper.References[1] J. Dahlstrom, E., Brooks, D. C., & Bichsel, “The current ecosystem of learning management systems in higher education: Student, faculty, and IT perspectives,” Louisville, CO, 2014.[2] P. S. Muljana and G. Placencia, “Learning Analytics: Translating Data into ‘Just-in-Time’ Interventions
. Department of Education. Washington, DC. [3] Suárez-Orozco, C., Suárez-Orozco, M., Todorova, I., (2009). "Learning a New Land." Belknap Press of Harvard University Press. [4] Torche, F. (2011). "Is a college degree still the great equalizer? Intergenerational mobility across levels of schooling in the United States." American Journal of Sociology 117(3). P. 763-807. [5] Wine J, Janson N, Wheeless S., (2011). "2004/09 Beginning Postsecondary Students Longitudinal Study (BPS:04/09) Full-scale Methodology Report on grad rates (NCES 2012-246) " National Center for Education Statistics, Institute of Education Sciences. U.S. Department of Education; Washington, DC: 2011. Retrieved from http://nces.ed.gov
Universal DesignLearning principles. Our findings, and the systems we deployed, are examples of how newtechnologies can reshape engineering education for all, enable digital accessibility and provide aplatform for evidence-based research of engineering education.AcknowledgementsDevelopment of ClassTranscribe is supported in part by a Microsoft research gift to theUniversity of Illinois. We wish to acknowledge UIUC IT staff, the College of Engineeringcurrent and former undergraduate and graduate students, and Prof. Hasegawa-Johnson, who havecontributed to the development, support and direction of the ClassTranscribe project.References[1] R. S. Moog and J. N. Spencer, “POGIL: An overview,” Process Oriented Guided Inquiry Learning (POGIL), vol
not have been possible without the financial support. Furthermore, we would liketo acknowledge the technical contributions of the following SIUE students: Nicholas Coglianese,Hunter Meadows, Zachary Hauck, Pratik Lamsal, and Tyler Austin, who helped at differentstages of the experimental platforms’ development.References [1] I. Nourbakhsh, K. Crowley, A. Bhave, E. Hamner, T. Hsiu, A. S. Perez-Bergquist, S. Richards, and K. Wilkinson, “The robotic autonomy mobile robotics course: Robot design, curriculum design and educational assessment,” Autonomous Robots, vol. 18, no. 1, pp. 103–127, 2005. [2] A. Soto, P. Espinace, and R. Mitnik, “A mobile robotics course for undergraduate students in computer science,” in 2006 IEEE 3rd Latin
and professional identity development for engineering undergraduates,” Journal of Engineering Education, vol. 100(4), pp. 630-654, 2011.[5] S. Allen & K. Peterman, “Evaluating informal STEM education: Issues and challenges in context,” Evaluation of Informal Science, Technology, Engineering and Mathematics Education, vol 2009(161), pp. 17-33.[6] National Research Council, How People Learn: Brain, Mind, Experience, and School: Expanded Edition. Washington, DC: The National Academies Press, 2000. https://doi.org/10.17226/9853[7] K. Krippendorff, Content analysis: An introduction to its methodology, 3rd edition. Sage: Los Angeles, CA, 2012.
providing scholarship for student to work on the research.We would also like to thank NASA West Virginia Space Grant Consortium for providingundergraduate research fellowship to student to work on the research.REFERENCES 1. Macal, C. M., and North, M. J. Agent-based modeling and simulation. In Winter Simulation Conference, Winter Simulation Conference (2009), 86-98.2. Wilensky, U. (1999). NetLogo. http://ccl.northwestern.edu/netlogo/. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL.3. A. Kashif, X. H. B. Le, J. Dugdale, and S. Ploix, “Agent based Framework to Simulate Inhabitants' Behaviour in Domestic Settings for Energy Management” in ICAART (2), pp. 190-199, 2011.4. X. Pan, C. S. Han
Education Annual Conference & Exposition, Seattle, WA, 2015.[9] H. Zhu, “A Flipped Solid Mechanics Course Designed Based on the Interactive, Constructive, Active, and Passive (ICAP) Framework”, Proceedings of the American Society of Engineering Education Annual Conference & Exposition, New Orleans, LA, 2016.[10] S. Gross and D. Dinehart, "Pre- and Post-Class Student Viewing Behaviors for Recorded Videos in an Inverted Sophomore Mechanics Course Paper," in Proceedings of the ASEE Annual Conference, New Orleans, Louisiana, 2016. 10.18260/p.25924.[11] S. Gross and E. Musselman, "Observations from Three Years of Implementing of an Inverted (Flipped) Classroom Approach in Structural Design Courses," in Proceedings of
use.References.N. A. S. K. J. H. V. D. S. P. Aleksandr Sergeyev1, "Development of the Open-Source“RobotRun” Robotic Simulation Software," American Society for Engineering Education, 2017.S. Y. Parmar, "Research and Development of Industrial," Open Access Master's Report,Michigan Technological University, 2017.Global Manufacruting Scorecard," 10 July 2018. [Online]. Available:https://www.brookings.edu/research/global-manufacturing-scorecard-how-the-us-compares-to-18-other-nations/
documentation. Thestudents’ feedback and their final project presentation indicate that they have pride in theirproject accomplishments and have gained confidence in their engineering abilities.References 1. Akyildiz, Ian and Mehmet Can Vuran, “Wireless Sensor Networks”, Wiley, 2010. 2. Li, Yingshu, My Thai, and Weili Wu, “Wireless Sensor Networks and Applications”, Springer, 2008. 3. Dargie, Waltenegus, and Christian Poellabauer, “Fundamentals of Wireless Sensor Networks: Theory and Practice”, Wiley, 2010. 4. Minaie, Afsaneh, et al., “Integration of Wireless Sensor Networks in the Computer Science and Engineering Curricula”, Proceedings of the ASEE Annual Conference, June 2012. 5. M. Assaf, R. Mootoo, S. Das, E. Petriu, V
weapons on campus and even if weapons areallowed for research purposes such as this project, safekeeping the weapon would be a logisticalchallenge. 3D printing is employed to create mockups of M16A4. One faculty advisorsupervises a student on 3D modeling and 3D printing, while the other faculty advisor directs thesecond student on AR software development.3.1 3D Modeling and PrintingA digital 3D model of M16A4 is shown in Figure 2(a) and Forms 2 3D printer (Figure 2(b)) isutilized in this project to print the M16A4 mockup. (a) (b)Figure 2. M16A4 Mockup 3D printing. (a) Digital model of M16A4. (b) Form 2 3D printer manufacturedby Formlabs.The M16A4’s length exceeds Form 2’s
: JosseyBass Higher and Adult Education. CookSather, A., Matthews, K. E., Ntem, A., & Leathwick, S. (2018). What we talk about when we talk about Students as Partners. International Journal for Students As Partners , 2 (2), 19. https://doi.org/10.15173/ijsap.v2i2.3790 Healey, M., Flint, A., & Harrington, K. (2014, July). Engagement Through Partnership: Students as Partners in Learning and Teaching in Higher Education. The Higher Education Academy . MercerMapstone, L., Dvorakova, S., Matthews, K., Abbot, S., Cheng, B., Felton, P., & Knorr, K. (2017, May). A Systematic Literature Review of Students as Partners in Higher Education. International Journal for Students as Partners , 1 (1). (n.d.). In
Pedagogy AbstractThe purpose of this work-in-progress (WIP) paper is to report on an ongoing study that used Chiand Wylie (2014)’s Interactive, Constructive, Active, and Passive (ICAP) framework (I > C > A> P) to survey the degree to which LC-DLMs foster cognitive engagement as students learn abouta venturi meter in a fluid mechanics and heat transfer course. Fredricks, Blumenfeld, and Paris(2004) define cognitive engagement as the effort students invest in understanding what they arelearning. Indeed, cognitive engagement is critical for effective teaching and learning inengineering. Although there is research evidence showing that students learn better with hands-onapproaches than traditional
curriculum mapping: supporting competency-based dental education”, Journal of Canadian Dental Association, 74(10) pp.886-889, 2008[7.] Felder, R.M. and Brent, R. “Active Learning: Models from the Analytical Sciences,” ACS Symposium Series 970, Washington DC: American Chemical Society, 2007[8.] Ansari, W.E., Stock, C., Snelgrove, S., Hu X., Parke, S., Davies, S., John, J., Adetunji H., Stoate, M., Deeny P., Philips, C. and Mabhala, A., “Feeling healthy? A survey of physical and psychological wellbeing of students from seven universities in the UK”, International Journal of Environmental Research and Public Health, 8(5) pp. 1308- 1323, 2011[9.] Shallcross, D.C., “Career preferences for undergraduate
think up as many possible ways tohandle it as I can until I can’t come up with any more ideas” to what is shown in Table 1. Table 1 – Questions of the EM-PSI Item Engineering Modified PSI (EM-PSI) Subscale 1 When I face a complex problem, I first define exactly what the problem goal(s) is. AAS 2 When a solution method to a problem was unsuccessful, I do not examine why it did not work. AAS 3 If my first effort to solve a problem was unsuccessful, I become unsure about my ability to PC
consequences of the scenario to a broader scope than thespecific situation. They look at how situations like this affect not only the people at that specifictime, but also after the fact and how it affects the community as a whole.C. Compartmentalizing (5): S ubjects agree that there is an issue related to diversity/inclusion,but it is irrelevant to the decision at hand. Often saying things like “In general, this isinappropriate. In this situation…”E. Equivocating (1): Subject is focused on having a back-and-forth with themselves, oftenbouncing between two (or more) alternate perspectives. Usually in a “can’t decide” scenario, butcan become prevalent through the questioning process.S. Solution-Focused (2): Students tend to craft their own
available resources.References[1] Foor, C., Trytten, D., McClure, L., Waldren, S. and T. Combrink. (2006) “I wishSomeone Would’ve Told Me: Undergraduate Engineering Students offer Advice to IncomingStudents.” Proceeding of the 2002 American Society for Engineering Education AnnualConference, Chicago, IL, July. Paper ID: 1381[2] Romkey, L. (2008) “The First Year Transition: Challenges and Solutions for Students,Instructors and administrators.” American Society for Engineering Education AnnualConference. June 22-25, 2008, Pittsburg, PA. Paper ID: 2127[3] Bradley, S and Bradley, W. (2006) “Increasing Retention by Incorporating TimeManagement and Study Skills into a Freshman Engineering Course.” Proceeding of the 2002American Society for Engineering
shifts in emphasis over the years, animportant one being the 1950’s government funding of fundamental, as opposed to “applied”research; with a subsequent (further) shift away from hands-on experiences and towardsengineering science as the curriculum core [1]. Heavy loading of first year programs with mathand science has implications for persistence and recruitment of global learners [2] and certainunderrepresented minorities such as females [3]. Felder and Brent [4] caution against a “trustme” approach to education in which students may have to persist for months or years before theysee why what they’ve been taught is important. The proposed case-studies move instructionfrom deductive to inductive [5], with the goal of deeper retention and
advancestudents’ understanding and mastery of the material.references:[1] Jensen, D., & Kellogg, S. (2010, June), Improving Conceptual Understanding In ProbabilityAnd Statistics Paper presented at 2010 Annual Conference & Exposition, Louisville, Kentuckyhttps://peer.asee.org/16816[2] Wilson, R (2002, July), What Does This Have to Do with Us? Teaching Statistics toEngineering Students Paper presented at ICOTS 2010 Annual Conference, Cape Town SouthAfrica. http://iase-web.org/documents/papers/icots6/5e1_wils.pdf[3] Reeves, K., & Blank, B., & Hernandez-Gantes, V., & Dickerson, M. (2010, June), UsingConstructivist Teaching Strategies In Probability And Statistics Paper presented at 2010 AnnualConference & Exposition, Louisville
Session ETD 475the attack and prevention were successful or not. Proper action should be immediately takenwhen the message shows an attack is happening. The student should implement the defensemechanism against that attack at once because s/he will keep losing points if other studentslaunch the same attacks. Figure 2. Score and Message Board3.3. Graphic user interface (GUI)A graphic user interface (GUI) application is designed for each student to log into his/herlearning environment. The main menu of the application includes a set of InfoSec activities andeach includes two labs: attack and defense. Each lab features a series of actions that requirestudents to complete their attack (defense) task. Each defense lab in
role model(s) who are scientists/engineers I want to earn more money I love creating/designing I am passionate about STEM Other Fig. 7: Interest in pursuing Engineering and/or Science careers, pre-camp survey Fig. 8: Student’s perception of learning outcomes post-camp survey assistants (TA’s), out of which three were instructors and had extensive
Using Vhdl,” ASEE Annual Conference & Exposition, Honolulu, Hawaii (June 2007).Fig. 6 Frequency distribution of lecture and laboratory contact [4] Loo, S. M., Planting, A., and Murdock, M., “Introducing hours for Digital Systems courses for different universities Field Programmable Gate Arrays Into Sophomore Digital Circuits Course,” ASEE Annual Conference &Figure 6 shows a distribution of the number of hours devoted Exposition, Chicago, Illinois. (June 2006).to lecture portion of the course and to the laboratory [5] Hasan, M., “Course Development In
Fun and Interactive Activities for an Introductory Computer Science Course of 200 Students Stephany Coffman-Wolph and Kimberlyn Gray The University of Texas at Austin 2317 Speedway, Austin, TX, 78712, USA E-mail: sscw@cs.utexas.edu West Virginia University Institute of Technology 512 S Kanawha St, Beckley, WV, 25801, USA E-mail: Kimberlyn.Gray@mail.wvu.edu Abstract Teaching lectures with hundreds of students
o o International Research Association (MMIRA) Research in Engineering o o o o Education Symposium (REES) Other: o o o o Other: o o o o Other: o o o oPlease provide the name(s) of any other(s) conference(s) that were not listed before and you have attended: ________________________________________________________________Please select what factors are
5 for Yes, Very Much Do the following see you as an engineer? 1 for No, Not at All • Yourself 2 for Seldom Recognition by Self • Engineering instructor(s) 3 for Sometimes 4 for Often 5 for Yes, Very Much In your opinion, to what extent are the following associated with the field of 1 for Not at All engineering? 2 for A little bit Caring
competitions. It hasreviewed relevant literature and discussed the work of several robotics teams at the North DakotaState University. Future work will involve conducting a more in-depth analysis of participationdata and collecting data from additional participants over time to assess the long-term benefits ofrobotic program participation.References[1] J. Dias, K. Althoefer, and P. U. Lima, “Robot Competitions: What Did We Learn?,” IEEE Robot. Autom. Mag., vol. 23, no. 1, pp. 16–18, 2016.[2] A.-B. Hunter, T. J. Weston, S. L. Laursen, and H. Thiry, “URSSA: Evaluating Student Gains from Undergraduate Research in the Sciences,” CUR Q., vol. 29, no. 3, pp. 15–19, 2009.[3] A. Zdešar, S. Blažic, and G. Klančar, “Engineering Education in Wheeled