Conference Session

Computers in Education Division Technical Session 10: STEM Outreach

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Mahmoud K. Quweider, University of Texas Rio Grande Valley; Fitratullah Khan, University of Texas Rio Grande Valley; Liyu Zhang, University of Texas Rio Grande Valley; Yessica Rodriguez, University of Texas, Rio Grande Valley; Yessenia Rodriguez, University of Texas, Rio Grande Valley

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

Paper ID #29458Cybersecurity, Digital Forensics, and Mobile Computing: Building thePipeline of Next-generation University Graduates through Focused HighSchool Summer CampsDr. Mahmoud K. Quweider, University of Texas Rio Grande Valley M K Quweider is a Professor of Computer & Information Sciences at the U. of Texas at UTRGV. He re- ceived his Ph.D. in Engineering Science (Multimedia and Imaging Specialty) and B.S. In Electrical Engi- neering, M.S. in Applied Mathematics, M.S. in Engineering Science, and M.S. in Biomedical Engineering all from the University of Toledo, Ohio. He also holds a Bachelor of English and a Masters of

Conference Session

Technical Session 10: Simulation and Modeling

Collection

2019 ASEE Annual Conference & Exposition

Authors

Stephen W. Crown, University of Texas, Rio Grande Valley; Constantine Tarawneh, University of Texas Rio Grande Valley

Tagged Divisions

Computers in Education

assigned platform (Excel, Web page, MatLab, SciLab, LabView, Simulink) that makes is easy to solve a converging/diverging supersonic nozzle with a normal shock in the diverging section. The program must be able to simply solve problems such as HW9-1, HW9-2, related example problems in the book, and former exam questions on nozzles. In addition to posting the program, you must also supply a one-page manual that explains how to use the program effectively. Your group will be graded on the items given below. The project is worth 7% of your final grade. Graded Items (10 points each) A) ____ Accuracy of calculations upstream of shock B) ____ Accuracy of calculations across of shock C) ____ Accuracy of calculations downstream of shock D

Conference Session

Computers in Education Poster Session

Collection

2011 ASEE Annual Conference & Exposition

Authors

Chris Smaill, University of Auckland; Colin Coghill, University of Auckland

Tagged Divisions

Computers in Education

are confronted witha non-identical, but similar, circuit. For multiple-choice questions, while the answers may notchange, the order can, so that the letter answers (A, B, C, D, or E) may also change from oneattempt to the next. Figure 1 shows a typical numerical question for year-13 physics.Figure 1: OASIS question for Year-13 Physics.The answers for all variations of each question are already stored in the question database.Consequently, marking generally involves comparison rather than calculation and poses onlya minimal load on the computer. Even though some multi-part questions are markedconsequentially, involving a somewhat greater load, a few thousand concurrent users couldbe comfortably handled by any current mid-range home-office

Conference Session

Embedded Computing

Collection

2008 Annual Conference & Exposition

Authors

Christopher Carroll, University of Minnesota-Duluth

Tagged Divisions

Computers in Education

or words entered as sequencesof key presses, and these additional subroutines aid in developing larger programs.The overall framework of the lab station system software consists of a command loop thatcollects single character commands from the user. There are four commands implemented.Typing “B” invokes the Byte command, that allows the user to examine and change bytes in Page 13.749.7memory. Typing “O” invokes the Online command so that the user can communicate over theterminal line to the multiuser LINUX system for file editing and assembling. Typing “L”invokes the command that downloads an object file from the host computer into the

Conference Session

Technical Session 8: Virtual Reality

Collection

2019 ASEE Annual Conference & Exposition

Authors

Maryam Mirabolghasemi, Mississippi State University; Michael Andre Hamilton; Parker Jones, Mississippi State University; David Cole, Mississippi State University; Emily S. Wall , Mississippi State University; Raed Jaradat, Mississippi State University

Tagged Divisions

Computers in Education

First, the students were given a survey that asked the following two questions: (Q1)“Which fault(s) intersect(s) with the wellbore?” (Q2) “Was identifying if the drill trajectoryintersects the faults easy?” Question 1 was a multiple-choice question with the followingoptions: (A) Green Fault (B) Red Fault (C) Neither (D) Both. The correct answer for thisquestion was A. The plot in Figure 7 shows the results for both Q1 and Q2. Figure 7: Part 3: Q1 & Q2 survey results The results show that 50% of the students answered the question correctly using Exceland 100% of the students answered correctly using the virtual teaching aid. The students’perceived level of ease in identifying the fault using the virtual

Conference Session

Technical Session 9:Topics related to STEM

Collection

2019 ASEE Annual Conference & Exposition

Authors

Ronald F. DeMara P.E., University of Central Florida; Tian Tian, University of Central Florida; Shadi Sheikhfaal, University of Central Florida; Wendy Howard, University of Central Florida

Tagged Divisions

Computers in Education

: Heat Transfer I courses. These surveys provide detailedinformation regarding student’s view towards STEM-BDP. Throughout these semesters usingSTEM-BDP, we have updated several aspects of the initial version of this method.For instance, survey questions asked at the end of EEL-3801 in Fall 2018 semester are shown inFigure 7.1. It shows the results for the 99 respondents out of the 126 students who were enrolled.According to these results, the majority of the students have a positive outlook towards differentphases of STEM-BDP. As shown in Figure 7.1 (b), 72% of the students wished that moreFigure 7.1: Survey Results for EEL3801 using STEM-BDP techniques during Fall 2018 semester: (a) "Screencast” format video of professor explaining one-on

Conference Session

Computer Education Management Tools I

Collection

2008 Annual Conference & Exposition

Authors

Carole Goodson, University of Houston; Barbara Stewart, University of Houston; Susan Miertschin, University of Houston; Luces Faulkenberry, University of Houston

Tagged Divisions

Computers in Education

constitute cheating. NASPA Journal, 40(1), 39-52. Retrieved September 10, 2007 from WilsonWeb database. 10. Holt, M. E. (1998, Summer). Ethical considerations in Internet-based adult education. New Directions for Adult and Continuing Education, (78), 63-9. Retrieved September 10, Page 13.1109.9 2007 from WilsonWeb database.11. Hricko, M. (1998). Internet plagiarism: Strategies to deter academic misconduct. Retrieved September 6, 2007 from http://www.mtsu.edu/~itconf/proceed98/mhricko.htm.12. Jordan, W., & Elmore, B. (2006). Engineering ethics and moral theories: A student perspective. ASEE Conference Proceedings 2007

Conference Session

Computers in Education Division Poster Session

Collection

2016 ASEE Annual Conference & Exposition

Authors

Rachael Alexandra Mansbach, University of Illinois, Urbana-Champaign; Geoffrey L. Herman, University of Illinois, Urbana-Champaign; Matthew West, University of Illinois, Urbana-Champaign; Dallas R. Trinkle , University of Illinois, Urbana-Champaign; Andrew Ferguson, University of Illinois, Urbana-Champaign; Andre Schleife, University of Illinois, Urbana-Champaign

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

longitudinal integration of computational modules across the sophomore andjunior years was intended to reinforce student awareness of computation, build confidence inusing computational tools, and cement the idea of computation as the third pillar of sciencealongside experiment and theory. Accordingly, we expected that this integration would (a) makeabstract theoretical concepts more accessible, (b) promote active learning and hands-onengagement, and (c) develop student competency in computational materials science softwaretools.The second aim of this effort was to develop a new senior-year computational materials scienceelective MSE 498AF. The course has been dramatically reconceived to serve as an integratedcomputational materials science and

Conference Session

Embedded Computing

Collection

2007 Annual Conference & Exposition

Authors

Michael Holden, San Francisco State University; Juan Carlos Miranda, San Francisco State University; Jose Coto, San Francisco State University

Tagged Divisions

Computers in Education

plant model is assumed (see Equation 1) for the transferfunction from applied voltage (Va) to motor speed (y), and data from a step response is used toselect the poles and system gain. As only 3 parameters must be estimated (2 poles and a DCgain), students generally find the poles through trial and error after calculating the gain fromsteady-state values. y K ? 1 Va s - as - b 2Gathering the open-loop response data is a good exercise as the motor system’s control law mustbe modified to create the step input in voltage—the open-loop control law is that the

Conference Session

Topics in Computer Science and Programming

Collection

2012 ASEE Annual Conference & Exposition

Authors

Te-shun Chou, East Carolina University

Tagged Divisions

Computers in Education

. Page 25.1253.1 c American Society for Engineering Education, 2012 Teaching Network Security Through Signature Analysis of Computer Network AttacksAbstractThis paper presents an investigation of four categories of network attacks used in an intrusiondetection and incident response graduate course; they are denial of service (DoS) attacks, probeattacks, user to root (U2R) attacks, and remote to local (R2L) attacks. In order to build anexperimental network environment, virtualization technology is used. Two virtual machines areconfigured, one of which is used to launch attacks and the other acts as a victim host. A varietyof network tools are installed for generation, collection and

Conference Session

Software and Hardware for Educators II

Collection

2009 Annual Conference & Exposition

Authors

Patrick Cunningham, Rose-Hulman Institute of Technology; Shannon Sexton, Rose-Hulman Institute of Technology; Julia Williams, Rose-Hulman Institute of Technology

Tagged Divisions

Computers in Education

4 30 3 20 2 10 1 0 0 0 10 20 30 40 50 60 Student RankFigure 3 - Student Grades and Class Absences (Grading scale: 100-88% A, 88-85% B+, 85- 80% B, 80-75% C+, 75-70% C, 70-65% D+, 65-60% D, <60% F)In Figure 3, the students are sorted in rank of overall grade, so the grade plot is monotonicallydecreasing

Conference Session

Issues in Computer Education

Collection

2006 Annual Conference & Exposition

Authors

Hasasn Rajaei, Bowling Green State University; Mohammad Dadfar, Bowling Green State University

Tagged Divisions

Computers in Education

Multiple-Queue Look-ahead Figure 3: The class hierarchy of the simulators4.1 Methods of Multiple QueuesOur implementation uses two methods for multiple queues: schedule and run. a. schedule() This method schedules the incoming jobs arriving at different times. Depending on the estimated execution time, the schedule method sends the jobs into queue P1, P2, P3 or P4 as described in Section 2. These are the waiting queues of the multiprocessor system, where the jobs are awaiting for the execution. b. run() When the scheduler determines that resources are available for the first job in a ready queue, it moves the job to the Execute Queue. The method run executes all the incoming jobs in

Conference Session

Online and Web-based Education

Collection

2010 Annual Conference & Exposition

Authors

Bridget Smyser, Northeastern University; David DiBiasio, Worcester Polytechnic Institute

Tagged Divisions

Computers in Education

discussion board questions) and answering any questions the classhad.” Students did provide the required discussion responses, but the discussions did not includea lot of interplay between the students. This aspect of the course should be reevaluated in futureofferings.Learning outcomes compared to traditional courseThe instructor for this course has taught similar Materials Science courses at other universities inthe past. The new format would be unacceptable if learning outcomes were vastly differentbetween traditional lecture courses and the blended distance learning course. Table 1 belowshows a comparison of the average final grade for a number of offerings of this course. In allcases the grading was done on an absolute scale (A >90%, B >

Conference Session

Mobile Devices and Apps

Collection

2015 ASEE Annual Conference & Exposition

Authors

Mohammadjafar Esmaeili, University of Dayton; Ali Eydgahi, Eastern Michigan University; Ilkhomjon Amanov, Eastern Michigan University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

?, 40th Annual Hawaii International Conference on System Sciences, Waikoloa, HI, 2007.[8] Jacob, S. M., & Issac, B.; The mobile devices and its mobile learning usage analysis, Proceedings of the International MultiConference of Engineers and Computer Scientists, Vol. I, 19-21 March, Hong Kong, 2008.[9] Giurgiu, L., & Barsan, G.; The Impact of iPhone in education; BulletinScientific, 13(2), 2008.[10] Caverly, D., Ward, A., & Caverly, M.; Techtalk: mobile learning and access. Journal of Developmental Education, 33 (1), pp. 38-39, 2009.[11] Yu, F., & Conway, A. R.; Mobile/Smartphone use in higher education. Proceedings of the 2012 Southwest Decision Sciences Institute, pp. 831-839, 2012

Conference Session

Technical Session 3: The Best of Computers in Education

Collection

2019 ASEE Annual Conference & Exposition

Authors

Alexander James Tuttle, University of Georgia; Siddharth Savadatti, University of Georgia; Kyle Johnsen, University of Georgia

Tagged Divisions

Computers in Education

drawing capabilities in immersive virtual reality (b) Virtual Environment for Collaborative Engineering Problem Solving An immersive virtual reality environment containing multiple whiteboards, a 3D angle and length measurement tool, and two typical engineering statics analysis problemsThe research objective of this work was to determine if and how students engaged with andsolved 3D engineering statics analysis problems presented through the graphics-tablet-enhancedimmersive virtual reality platform. A pilot study involving 19 students from a local engineeringstatics course evaluated two key affordances of the system 1) taking measurements of importantvalues in the problem, rather than having them provided, and 2

Conference Session

Course Development / Curriculum Development

Collection

2015 ASEE Annual Conference & Exposition

Authors

Mihaela Vorvoreanu, Purdue University, West Lafayette; Patrick E. Connolly, Purdue University, West Lafayette

Tagged Divisions

Computers in Education

26.1656.10References1. Ritter FE, Baxter GD, Churchill EF. Foundations for Designing User-Centered Systems. London: Springer-Verlag; 2014.2. Baldwin H. Tech hotshots: The rise of the UX expert. CIO Magazine. 2013. Available at: http://www.cio.com/article/2389056/careers-staffing/tech-hotshots-- the-rise-of-the-ux-expert.html. Accessed February 2, 2015.3. Kowitz B. Hiring a designer: Hunting the unicorn. Google Ventures. Available at: http://www.gv.com/lib/hiring-a-designer-hunting-the-unicorn. Accessed February 2, 2015.4. Dinham P. Market may struggle to meet demand for IT specialist skills. itwirecom. 2014. Available at: http://www.itwire.com/it-people-news/enterprise-staff/66495- market-may-struggle-to-meet

Conference Session

Tablet and Portable PCs for Education

Collection

2009 Annual Conference & Exposition

Authors

David Bowman, Clemson University; Lisa Benson, Clemson University

Tagged Divisions

Computers in Education

Practice, Donovan, S. M., J. D. Bransford, and J. W. Pellegrino, editors. Committee on Learning Research and Educational Practice Commission on Behavioral and Social Sciences and Education National Research Council, 2000.2 Robins, A., Haden, P., and Garner, S. Problem Distributions in a CS1 course, Proceedings of the 8th Australian Conference on Computing Education, 2003.3 McDowell, C., Werner, L., Bullock, H. E., and Fernald, J, Pair Programming Improves Student Retention, Confidence, and Program Quality. Communications of ACM, 49(8):90-95, 2006.4 Hanks, B., Problems Encountered by Novice Pair Programmers, ACM Journal on Educational Resources in Computing, 7(4):Article 2, 2008.5 Bandura, A. Social Foundations of Thought and

Conference Session

Software Engineering Concepts

Collection

2017 ASEE Annual Conference & Exposition

Authors

Anurag Goswami, North Dakota State University; Gursimran Singh Walia, North Dakota State University; Ganesh Padmanabhan, North Dakota State University; Mark E McCourt, Department of Psychology, North Dakota State University

Tagged Divisions

Computers in Education

StylesLSs was first introduced by Kolb [18]. Since then, multiple versions of LS models [19] weredeveloped by the psychologists and validated its use in academic environment [10]. This studyutilized Felder Silverman Learning Style model [20] and an instrument known as Index ofLearning Styles (ILS) that is used to measure LS of individuals [21]. The ILS is an onlinequestionnaire (empirically validated for its reliability and construct validity [22]) that consists of44 questions where each dimension has 11 questions. A brief description of four LS dimensionsis described in Figure 1(a). The LS score of an individual across four dimensions is denoted by‘X’ on the top of a category as shown in Figure 1(b). A score between 5-7 and 9-11 states that

Conference Session

Pedagogical Issues in Computing

Collection

2011 ASEE Annual Conference & Exposition

Authors

Chitra Bharathi Ganapathy, University Of Southern California; Erin Shaw, University of Southern California; Jihie Kim, University of Southern California

Tagged Divisions

Computers in Education

of an Intelligent Discovery World: Smithtown. Interactive Learning Environments, 1(1), 51-77.Soller, A., & Lesgold, A. (2003). A Computational Approach to Analyzing Online Knowledge Sharing. Interaction. Proceedings of Artificial Intelligence in Education.Wang, H.-C., Lu, C.H., Yang, J.-Y., Hu, H.-W., Chious, G.-F., Chiang, Y.-T. & Hsu, W.L. (2005) An Empirical Exploration of Using Wiki in an English as a Second Language Course, In Proceedings of the Fifth IEEE International Conference on Advanced Learing Technologies (ICALT’05). Online at http://ieeexplore.ieee.org/iel5/10084/32317/01508634.pdf.White, B., Shimoda, T., & Frederiksen, J. Enabling Students to Construct Theories of Collaborative Inquiry and Reflective Learning

Conference Session

The Best of the Computers in Education

Collection

2017 ASEE Annual Conference & Exposition

Authors

Robert L. Avanzato, Pennsylvania State University, Abington

Tagged Divisions

Computers in Education

., & Thornton, M. A. (2012, June), Faculty and Student Perceptions of OnlineLearning in Engineering Education Paper presented at 2012 ASEE Annual Conference & Exposition, SanAntonio, Texas. https://peer.asee.org/21387Owalabi, O. (2016, Oct-Dec), Effective Learning Activities and Tools Adopted in an Online EngineeringClass, Transactions on Techniques in Stem Education, vol. 2, no. 1, pp. 97-106.Sarder, M. B. (2014, June), Improving Student Engagement in Online Courses Paper presented at 2014ASEE Annual Conference & Exposition, Indianapolis, Indiana. https://peer.asee.org/20611iImmersive Terf® is the 3D platform created by 3D ICC. Terf® is an immersive 3D avatar-based online environmentthat requires a subscription. For more information

Conference Session

Computational Tools and Simulation II

Collection

2010 Annual Conference & Exposition

Authors

Alejandra J. Magana, Purdue University, West Lafayette; Edwin Garcia, Purdue University

Tagged Divisions

Computers in Education

example applications to expose students to advantagesand disadvantages of a) phase field, sharp, and level set microstructural evolution methods and b)numerical techniques such as finite differences, finite elements, and finite volumes.To attain the goals of the course, two computational tools, OOF and FiPy, have beenincorporated into the class. OOF (Reid et al., 2009) 3 is a tool designed to calculate the spatial Page 15.584.2distribution of physical fields and the macroscopic properties from images of real or simulatedmicrostructures (see Figure 1). The code provides an intuitive Graphical User Interface to enablethe user to perform Finite

Conference Session

Computers in Education Poster Session

Collection

2006 Annual Conference & Exposition

Authors

Lisa Jones, Southwest Tennessee Community College; James M. Northern, Southwest Tennessee Community College

Tagged Divisions

Computers in Education

Enhancing Thinking and Learning Skills.” Proceedings of the 6th conference on Information technology education. Association for Computing Machinery (ACM). SIGITE (2005). Available at http://portal.acm.org. Accessed January 7, 2006.[5] Willis, C. & Miertschin, S. “Tablet PC's as Instructional Tools or the Pen is Mightier than the 'Board!” Proceedings of the 5th conference on Information technology education. Association for Computing Machinery (ACM) (2004). Available at http://portal.acm.org. Accessed January 7, 2006.[6] Simon, B., Anderson, R., Hoyer, C., & Su, J. "Preliminary Experiences with a Tablet PC Based System to Support Active Learning in Computer Science Courses". Proceedings of the 9th annual SIGCSE conference on

Conference Session

Computing Technology Session 2

Collection

2017 ASEE Annual Conference & Exposition

Authors

Petr Johanes, Stanford University; Larry Lagerstrom, Stanford University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

provocative software make a difference in the classroom? EdSurge. Retrieved December 5, 2016 from https://www.edsurge.com/research/special-reports/adaptive-learning/13. Balakrishnan Chandrasekaran, Todd R. Johnson, and Jack W. Smith. 1992. Task-structure analysis for knowledge modeling. Communications of the ACM 35, 9: 124–137.14. Harry Collins. 2010. Tacit and explicit knowledge. University of Chicago Press.15. Albert T. Corbett and John R. Anderson. 1994. Knowledge tracing: Modeling the acquisition of procedural knowledge. User modeling and user-adapted interaction 4, 4: 253–278.16. Jennifer B. Daines, Tonya Troka, and John M. Santiago Jr. 2016. Improving Performance in Trigonometry and Pre-Calculus by Incorporating Adaptive Learning

Conference Session

Technical Session 12: Teaching and Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Keith Hekman, California Baptist University

Tagged Divisions

Computers in Education

. 100 90 80 70 Score 60 50 40 30 20 S14B#1 F14B#2 S15B#2 S15A#1 F15A#2 Year/Professor Figure 3,Boxplot of students’ test grades, middle quartiles with X as average. B is before automated grading, A is after Automated Grading. Divided by professors 1 and 2.Initially, students were assigned both on the tutorials in the textbook as well as additionalhomework problems at the end of the chapter that required skills from the tutorials. The facultyfound that some students were spending a significant amount of time trying to get the

Conference Session

Tablets Large and Small

Collection

2012 ASEE Annual Conference & Exposition

Authors

Ashley Robinson, Virginia Tech; Catherine T. Amelink, Virginia Tech; Holly M. Matusovich, Virginia Tech

Tagged Divisions

Computers in Education

. Page 25.1342.3 (a) (b) (c)Figure 1: (a) Rotated Fujitsu Lifebook T Series tablet PC; (b) Fujitsu Lifebook T Series in“tablet mode”; (c) iPadThe integration of slate enabled technology provides several benefits to learning. Due to the notesharing capabilities of the tablet PC, students reported that their confidence in understanding thecourse material increased 5. The tablet PC is often used as a replacement for a whiteboard oroverhead projector due to its natural handwriting and annotation capabilities using the stylus 6.The swivel mode and flat screen surface of slate enabled technologies give all students sharedaccess to the slate screen. This shared

Conference Session

Computer Education Management Tools I

Collection

2008 Annual Conference & Exposition

Authors

Sabina Jeschke, University of Stuttgart; Olivier Pfeiffer, Technische Universitaet Berlin; Thomas Richter, University of Stuttgart

Tagged Divisions

Computers in Education

estimated from the observed success ratio oflearners having chosen a similar learning path. For details, see [6]. Training Unit providing A Training Unit providing C requires: D requires: A requires: B Asset Asset Eval Eval Asset Asset Asset Asset credits=4 credits=1 credits=1 credits=2 Figure 2. Design of a Marvin course: Asset notes contain elementary assignments to thestudents. Evaluators assess student

Conference Session

Computers in Education Division Poster Session

Collection

2012 ASEE Annual Conference & Exposition

Authors

JUDITH VIRGINIA GUTIERREZ; Aurelio Lopez-Malo, Universidad de las Americas, Puebla; Enrique Palou, Universidad de las Americas, Puebla

Tagged Divisions

Computers in Education

. Proceedings of the ASEE Annual Conference. Honolulu, HI (2007). Page 25.1490.165. R. Anderson, R. Anderson, L. McDowell, and B. Simon. Use of Classroom Presenter in Engineering Courses. Proceedings of the 35th ASEE/IEEE Frontiers in Education Conference. Indianapolis, IN (2005).6. E. Palou, L. Gazca, J. A. Díaz García, J. A. Rojas Lobato, L. G. Guerrero Ojeda, J. F. Tamborero Arnal, M T. Jiménez Munguía, A. López-Malo, and J. M. Garibay. High-Quality Learning Environments for Engineering Design: Using Tablet PCs and Guidelines from Research on How People Learn. International Journal of Food Studies, in press (2012).7

Conference Session

Computational Tools

Collection

2011 ASEE Annual Conference & Exposition

Authors

Abhijit Nagchaudhuri, University of Maryland, Eastern Shore

Tagged Divisions

Computers in Education

system in thelaboratory. The set-up is used for experiential learning and research efforts involving engineeringand computer science majors at the university, as well as for demonstration purposes for theintroductory Control Systems (ENGE 382) and Instrumentation (ENGE 380) courses offered bythe author for engineering majors.1.0 INTRODUCTIONMechatronics[1-3] embodies the synergy of mechanical design, electronics, control, soft-computing and information technology.In this paper various aspects of the field of “Mechatronics” is explored using simple laboratorydevices – (a) Direct Current (DC) servo-motor and, (b) Dual water tank system, with appropriateelectronic interfaces for sensing and control. Particular emphasis is paid towards (i

Conference Session

Computers in Education Division Technical Session 11

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

James C. Squire P.E., Virginia Military Institute; Gerald Sullivan P.E., Virginia Military Institute; Tom McCormick, Virginia Military Institute

Tagged Divisions

Computers in Education

time-domain sinusoid thatthe phasor represents in the window below. The right panel displays the discrete-time version inwhich the learner enters values for the phasor magnitude and angle. In this version, the phasor isnot changed until the user presses the “Update” button.The experiment was conducted in three stages. First, students were randomly selected to be inthe A or B teams by alphabetically ordering students in each class and assigning even numbers tocontinuous and odd numbers to discrete cohorts. Both groups were given ten minutes to readidentical tutorials, available at [10], that provide an introduction to the mathematics linkingphasors with their time-domain sinusoids. Students were next given instructions to download thephasor

Conference Session

Computers in Education Division - General Technical Session 1

Collection

2013 ASEE Annual Conference & Exposition

Authors

Glenn W Ellis, Smith College; Yanning Yu, Northwestern University

Tagged Divisions

Computers in Education

teaching and instruction. In P.A. Alexander and P.H.Winne (Eds.), Handbook of Educational Psychology, (2nd ed.). Mahwah, NJ: Lawrence Erlbaum Associates.9. Scardamalia, M. (2002). Collective cognitive responsibility for the advancement of knowledge. In B. Smith (Ed.), Liberal Education in a Knowledge Society. Chicago, IL: Open Court.10. Scardamalia, M. and Bereiter, C. (2003). Knowledge building. In Encyclopedia of Education, (2nd ed). New York, NY: Macmillan.11. Scardamalia, M. and Bereiter, C. (2006). Knowledge building: theory, pedagogy, and technology. In R. K. Sawyer (Ed.), The Cambridge Handbook of the Learning Sciences. New York, NY: Cambridge University Press.12. Egan, K. (1997). The Educated Mind