Paper ID #22640Work in Progress: Integrating Computational Thinking in STEM Educationthrough a Project-based Learning ApproachDr. Dazhi Yang, Boise State University Dazhi Yang is an Associate Professor at Boise State University. Her research lies at the intersection of STEM education and technology-supported learning. Her current research focuses on integrating compu- tational thinking in STEM education, instructional strategies and online course design for STEM; instruc- tional strategies for teaching difficult and complex science and engineering concepts.Steve R SwasnonProf. Bhaskar B. C. Chittoori, Boise State University
for students to conduct physical experiments.Each system consists of three major electrical components (power supply box, manual switchbox, and electrical relay switch box) and nine major pneumatic components (air source, single-acting cylinder, double-acting cylinder, air divider, 3/2 pneumatic valve, 3/2 directional controlvalve, 3/2 solenoid (one sided) control valve, 5/2 solenoid (one sided) control solenoid valve,and 5/2 solenoid control valve. Figure 2(a) shows one manual switch box and two electricalrelay switches, and Figure 2(b) shows a power supply. (a) (b) Figure 2. Components of Programmable Logic Controller Wiring Lab. (a) From left to right: onemanual switch box and
Ellbogen Meritorious Classroom Teaching Award (2012), the Tau Beta Pi WY-A Undergraduate Teaching Award (2011), the IEEE UW Student Branch’s Outstanding Professor of the Year (2005 and 2008), the UW Mortar Board ”Top Prof” award (2005, 2007, and 2015), the Outstanding Teaching Award from the ASEE Rocky Mountain Section (2007), the John A. Curtis Lecture Award from the Computers in Education Division of ASEE (1998, 2005, and 2010), and the Brigadier General Roland E. Thomas Award for outstanding contribution to cadet education (both 1992 and 1993) at the U.S. Air Force Academy. He is an active ABET evaluator and an NCEES PE exam committee member.Dr. Thad B. Welch, Boise State University Thad B. Welch, Ph.D., P.E
“conveyor” frame in the SimulationTree), while Figure 6 shows an example of the Routes Simulation window. As shown, routes canquickly become complex when programming more complicated scenes and actions. In such cases,textual programming becomes a better programming choice. a b Figure 5. Screenshot of (a) Simulation Tree Window and (b) Property Bar Window Figure 6. Screenshot Example of the Routes Simulation WindowTextual programming is supported via the Script node that uses JavaScript, Jscript, or VBScript.Figure 7 shows a screenshot of the Script Editor where JavaScript is used. Figure 7. Screenshot of the Script EditorStudents
2016 2015 0.2 Normalized Frequency 0.15 0.1 0.05 0 0% 6% 11% 17% 22% 28% 33% 39% 44% 50% 56% 61% 67% 72% 78% 83% 89% 94% 100%Figure 4. Histogram of homework grades for two cohorts of students, normalized to sample size.Scores in the B and D range dropped, with a concomitant rise in A level work.Again, the data shown in Figure 5 are the individual scores on each examination for the entirecohort of students. 50 2015 2016 40 30 20 10 0 0% 10% 20% 30% 40
. Englewood Cliffs, N.J.: Prentice-Hall, 1984.2. "EPICS", EPICS - Purdue University, 2018. [Online]. Available: https://engineering.purdue.edu/EPICS. [Accessed: 25 Jan. 2018].3. W. C. Oakes, E. J. Coyle, and L. H. Jamieson, "EPICS: A Model Of Service Learning In An Engineering Curriculum," in Proceedings of the 2000 ASEE Annual Conference & Exposition, 18-21 June 2000, St. Louis, MO [Online]. Available: ASEE Conferences, https://peer.asee.org/8361. [Accessed: 25 Jan. 2018].4. "Home - Engineers Without Borders USA," Engineers Without Borders USA, 2018. [Online]. Available: https://www.ewb-usa.org/. [Accessed: 25 Jan. 2018].5. B. Jaeger and E. LaRochelle, "EWB (2)-Engineers Without Borders: Educationally, a
robotics learning environment: what Mindstorms and DARPA urban challenge have in common.", ASEE Computers in Education Journal 1.3 (2010): 32-39.[12] Weinberg, Jerry B., et al. "A multidisciplinary model for using robotics in engineering education." Proceedings of the 2001 American Society of Engineering Education Annual Conference and Exposition, Albuquerque, New Mexico, June 24-27, 2001.[13] Weinberg, Jerry B., and Xudong Yu. "Robotics in education: Low-cost platforms for teaching integrated systems." IEEE Robotics & Automation Magazine 10.2 (2003): 4-6.[14] White, W., et al. "Assessing an interdisciplinary robotics course." Proceedings of the 2005 American Society of Engineering Education Annual Conference and
Paper ID #21923Coding the Coders: A Qualitative Investigation of Students’ CommentingPatternsDr. Mahnas Jean Mohammadi-Aragh, Mississippi State University Dr. Jean Mohammadi-Aragh is an assistant professor in the Department of Electrical and Computer En- gineering at Mississippi State University. Dr. Mohammadi-Aragh investigates the formation of engineers during their undergraduate degree program, and the use of computing to measure and support that forma- tion. She earned her Ph.D. in Engineering Education from Virginia Tech. In 2013, Dr. Mohammadi-Aragh was honored as a promising new engineering education researcher when
, S. K.Sensor nodes sense the interested physical information based on the specific applications.Following that, the physical information is converted into a serial of raw data. Then, the raw data ispassed to the local intelligent electronics devices (IEDs) to process. After that, the processed datais sent to the sink node. The sink, in turn, passes the corresponding instructors to the sensor nodesaccording to the received information. The main characteristics of the WSNs can be generalizedas 4:a) Network topology is specified based on the users’ requirements;b) Applications are diverse based on the sensors varieties in sensor field;c) Traffic characteristics is relatively unique based on the protocols used in the whole network;d) Available
/embedded-systems-shape-world-utaustinx-ut-6-10x. [Accessed 5 February 2017].[8] Alex Fosdick, "Introduction to Embedded Systems Software and Development Environments," Coursera, [Online]. Available: https://www.coursera.org/learn/introduction-embedded-systems.[9] B. Miller, "Understanding Entrepreneurship -- Part II -- New Beginnings," [Online]. Available: http://reputablejournal.com/understanding-entrepreneurship-2018-2.html.[10] M. Guzdial, B. Ericson, B. Morrison and M. Parker, "CS Principles: Big Ideas in Programming," [Online]. Available: http://interactivepython.org/runestone/static/StudentCSP/index.html.[11] B. Miller, D. Ranum, J. Elkner, A. B. Downey and C. Meyers, "How to Think Like a Computer Scientist
. To furtherenhance the educational and behavioral impact of an educational video game, a researcher canleverage virtual reality. Virtual reality has illustrated its ability to stimulate strong emotionalresponses from users. Therefore, based on the provided background literature and research gap,the team has set the goal of evaluating the potential effect that a virtual reality educational gamehas on learning and behavior. It is the hope of the research team to provide evidence illustratingthe role that an educational virtual reality game has in supporting environmental education andbehavior.Bibliography[1] A. S. Goudie, The human impact on the natural environment: past, present, and future. John Wiley & Sons, 2013.[2] B. S. Halpern et
redesigned advising process based on such feedback; we focused on ourEngineering Leadership program. The criteria for this selection was: 1) the cohorts within theprogram were well identified and documented, 2) the program was smaller (80 students) and newermaking it more flexible to adapt 3) the advisor(s)/faculty wanted to move to a three-pillar modelwhich focused on a) advising, b) mentoring, and c) professional development.A team involving four students from varying classifications, along with a student from a differentdepartment/college, was brought in to conduct focus groups around the challenges of the currentadvising process. Based on such, the team was re-aligned with the goal of conducting addition focusgroups of students about what type
in the data, x – a vector of inputs {x1, x2,x3, …, xn} and multiplies each input by a weight {w1, w2, w3, … wn}. The general body of theneuron then adds the weighted inputs and a bias. The scaler result is passed through an outputfunction called the “activation function”. The scaler output of a trained network can be used fordata classification or for propagation to an input of a larger network in a method called pooling[10]. A mathematical model of the perceptron is shown in Equation 1 [7]. 𝑎 = 𝑓(∑'()* 𝑥i∙ 𝑤 i + b) (1)The value of the synaptic weights prior to training is normally randomized and is unimportant asthe value of the weights and bias are gradually
onAlternatives to Lecture in the Computer Science Classroom, Vol. 13 Issue 3, Art. No. 12, 2013.[20] S. Leutenegger and J. Edgington, "A Games First Approach to Teaching IntroductoryProgramming," SIGCSE technical symposium on Computer science education, 2007.[21] H.N. Mok, "Teaching Tip: The Flipped Classroom," Journal of Information SystemsEducation, 25(1), 7-11, 2014.[22] V. Norman and J. Adams, "Improving Non-CS Major Performance in CS1," SIGCSETechnical Symposium on Computer Science Education, pp. 558-562, 2015.[23] Pearson: MyProgrammingLab.https://www.pearsonmylabandmastering.com/myprogramminglab/. August 2017.[24] L. Porter, D. Bouvier, Q. Cutts, S. Grissom, C. Lee, R. McCartney, D. Zingaro, B. Simon,"A Multi-institutional Study of Peer
diameter can be relatively small compared to the current apparatus.III. ASTM Standards: American Standard Test Method (ASTM) guidelines provided the baseline requirement to ensure the newly designed apparatus meets industry standards. These standards ensure the accuracy and the validity of the design. Engineer requirements for the sensor, electronics and material were based on ASTM standardsDesign GenerationA major part of the design generation was sensor selection. It was narrowed down to two sensortypes: (a) Hall Effect and (b) Infrared. The Hall Effect sensor involved a magnetic sphere as thedetector. An experimental test proved the design to be problematic. The magnetic field orientationof the north and south poles (of the
Paper ID #22084Enabling Advanced Topics in Computing and Engineering Through Authen-tic Inquiry: A Cybersecurity Case StudyDr. Mike Borowczak, University of Wyoming Dr. Mike Borowczak is the Director of the Cybersecurity Education and Research center (CEDAR) and a faculty member of the Computer Science department at the University of Wyoming. He earned his Ph.D. in Computer Science and Engineering (2013) as well as his BS in Computer Engineering (2007) from the University of Cincinnati. His research focused on detection and prevention of information leakage from hardware side channels. Mike’s current research interests
compatible – we need to expand this app on other mobile platforms (iOS, WindowsMobile) to cater iPhone and Windows phone users , (ii) conducting a survey to evaluate theusability of this mobile app (planned for Spring 2018), and lastly (iii) comparing the study resultsfrom mobile app with the results from other VR platforms that we have studied such as theCAVE and the 3D TV.8 References[1] T. Abdel-Salam, P. J. Kauffman, and G. Crossman, "Does the lack of hands-on experience in a remotely delivered laboratory course affect student learning?," European Journal of Engineering Education, vol. 31, no. 6, pp. 747-756, 2006/12/01 2006.[2] B. Jackson. (2015). What is Virtual Reality? Definition and Examples. Available: http
: the clock and four push buttons. The four buttons representthe four actions the user can take. Fig. 3 flow chart of the tetris game3. Tetris Game Lab Exercise B: Method of Displaying Blocks (VGA module in Fig. 2b)The VGA module in the tetris game provides the coordinates and pixel locations for the settledand active blocks, then sends the information into the VGA control signal, resulting in thecorrect display of the image on a LCD monitor. “HSynch” and “VSync” signals are pulses usedfor the start of the horizonal scan line and vertical scan line of the monitor.In our tetris game, the game display area consists of 640 by 480-pixel grid locations. The internalstate is represented by a 200-bit value representing
(those that best minimize the Within Sum of Square value, 𝑊𝑊, for the applied science course’s pre-surveys (N = 1,865). A total of 31 criteria (of 1000) provide adequate group separation (that is, having 𝑊𝑊 < 0.36 according to [5]).It is interesting to note the different response patterns of the students in different groups and tocompare them with those of the entire applied science class. First, Figure 3(b) (the middle column of6Figure 3) shows the mean values for the 15-dimensional feature vector for all students in Course 1.We will be comparing the groups identified by 𝑛𝑛-TARP with this “baseline profile” (Figure 3(b)).Figure 3 also shows the response statistics for the first two criteria shown in Figure 2 (i.e., Group 1and
University Central Student Technology Committeefor providing startup funds to launch this effort. We also thank UW Libraries Dean Ivan Gaetzfor providing 2500 square feet of COE Library space. References1. Kurti, R. S., Kurti, D., & Fleming, L. (2014). The philosophy of educational makerspaces: Part 1 of making an educational makerspace. Teacher Librarian, 41(5), 8–11.2. T. A. Dousay, “An evolving makerspace for teacher education,” Int. J. Des. Learn., vol. 8, no. 1, pp. 69–81, 2017.3. T. W. Barrett, M. C. Pizzico, B. Levy, and R. L. Nagel, “A review of university maker spaces,” 122nd ASEE Annu. Conf. Expo., pp. 1–16, 2015.4. M. J. Dondlinger, J. McLeod, and C. Bigenho, “Special
received the B.S. and M.S. degrees in electrical engineering from Tsinghua University, Bei- jing, China, in 1995 and 1997 respectively, and the Ph.D. degree in electrical engineering from the Uni- versity of Illinois at Urbana-Champaign in 2002. From 1997 to 2002, he was a research assistant at the Department of Electrical and Computer Engineering in the University of Illinois at Urbana-Champaign. From 2002 to 2005, he was a postdoctoral research associate at the Electromagnetics Laboratory in the University of Illinois at Urbana-Champaign. He was an assistant professor with the Department of Elec- trical Engineering, the University of Texas at Arlington from 2005 to 2012. He joined the Department of Electrical and
Paper ID #22046Developing Reviewer Profiles Using Analysis of Prior AuthorshipDr. Matthew A. Verleger, Embry-Riddle Aeronautical University Matthew Verleger is an Associate Professor of Engineering Fundamentals at Embry-Riddle Aeronauti- cal University in Daytona Beach, Florida. His research interests are focused on using action research methodologies to develop immediate, measurable improvements in classroom instruction and the use of Model-Eliciting Activities (MEAs) in teaching students about engineering problem solving. Dr. Verleger is an active member of ASEE. He also serves as the developer and site manager for the Model
Paper ID #22817Evaluating Learning Engagement Strategies in a Cyber Learning Environ-ment during Introductory Computer Programming Courses – an EmpiricalInvestigationMrs. Mourya Reddy Narasareddygari I am Ph.D student at North Dakota State University. My research work is to see how different Learning strategies affect the student learning.Dr. Gursimran Singh Walia Gursimran S. Walia is an associate professor of Computer Science at North Dakota State University. His main research interests include empirical software engineering, software engineering education, human factors in software engineering, and software quality. He is a
Paper ID #22258Work in Progress: Constructing a Prediction Model of Creativity and Cogni-tive Concept Connections Based on Learning PortfolioProf. Ting-Ting Wu, Graduate School of Technological and Vocational Education, National Yunlin Universityof Science and Technology Ting-Ting Wu is currently an Associate Professor in the Graduate School of Technological and Vocational Education at National Yunlin University of Science and Technology, Taiwan. She received her Ph.D. de- gree from the Department of Engineering Science at National Cheng Kung University. She received the MS degree in Information and Learning Technology from
world for a clock (Figure 1(b)).In educational games, especially those involving complex mathematics, it can be difficult toconvincingly place questions or problems in the real world. In that case, non-diegetic elementsmight be combined with diegetic elements to minimize the disruption to game play. Figure 2(b)shows an example of this where the player manipulates coefficients in a mathematical expressionusing a multimeter. (a) (b) (c)Figure 1. An example showing (a) non-diegetic, (b) moderately diegetic, and (c) completelydiegetic ways to convey the current time to the player. (a) (b) (c)Figure 2. An example showing (a
rough proof of concept has been demonstrated, refining this to a more finished product is ongoing.Additional work is also going into incorporating augmented reality as well. Using augmentedreality tools such as Apple’s ARKit and Google’s ARCore are being looked to increase the otherplayers engagement with the system. Augmented reality allows for the continued use of bothphysical objects such as the props described in this paper and further bring the student into theexperience and engagement with the learning process.References [1] M. F. Cox, C. Osman, B. Ahn, and J. Zhu, “Engineeirng professionals’ expectations of undergraduate engineering students,” Leadership and Management in Engineering, vol. 12, no. 2, pp. 60–70, 2012. [2] L. J. Shuman
understanding of the inner workings of equipment can be seenin [22], [23]. VR labs, as used here, require the use of specialized hardware. The examples shown herehave been developed for the HTC Vive, but can also be used with the Oculus Rift or other VRhardware. The HTC Vive and Oculus Rift are two competing commercial VR systems that werereleased in March and April of 2016 respectively. The Oculus Rift consists of a head-mounteddisplay, shown in Figure 1a, with screens having 1080x1200 resolution per eye and incorporatesheadphones, gyroscopes, accelerometers, and a USB based stationary infrared sensor that tracksIR LEDs attached to the head mounted display [24], [25].Figure 1. a - Oculus Rift Head mounted display, b - Oculus touch controller, c
File Systems” representsomewhat limited knowledge bases. Linux configuration files, automatic program startup, and Linuxscripting are contextually in proximity to one another. Each speaks to the "unobserved" way in which aLinux Developer gets useful work done. The number of configuration files discussed in this work issmall.In Table 3, two "knowledge-based" skills necessary for project completion are not class contentmaterial. Hidden from the student is specialized preparation work on the master eMMC memorymodules (Figure 1 shows an eMMC module plugged into the Odroid). The module preparation is: a) Install the Linux distribution. It is an “inflate and install” process. b) Add specialized software applications needed
videos? (choose up to 3 A) Homework Help options) B) Prepare for Lecture A) Homework Help C) Videos Shown in Class B) Prepare for Lecture D) Lecture Capture C) Videos Shown in Class E) Test Prep (FE Exam, midterms, D) Lecture Capture finals, etc.) E) Test Prep (FE Exam, midterms, F) Supplement Course Content finals, etc.) G) Other F) Supplement Course Content G) Other Q3: What qualities or
column represents the number of daysduring which the feature was available for the feature selection process, aside hundreds of others. Number of times Availability (out Feature selected (out of 7) of 7)(a) Number of compiler errors encountered in 6 7 assignment X(b) Error Quotient of the student 5 7(c) Binary variable - 1 if the student solved 4 7 assignment Y, else 0(d) Amount of time spent on assignment X