Conference Session

CoED: Computer Science Topics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Curtis Cohenour P.E., Ohio University; Audra Anjum, Ohio University

Tagged Divisions

Computers in Education

automated grader, managing the grading was challenging for ECCinstructors, as students were unable to receive quality feedback in a prompt manner. Because ofthe sheer volume of items to be graded, instructors were forced to find alternate methods to fullmanual grading. Methods tried for this course include: a) grading one submission at random perweek, b) using highly specific quizzes to elicit correct/incorrect values, c) using the BMpublisher’s assessment tool, SNAP, and d) relying on summative assessments only (no gradingof homework assignments).In the random selection method, a graduate student or teaching assistant reviewed a singledatabase submitted for each student per week. The submission was considered complete only ifall the components

Conference Session

Embedded Computing

Collection

2009 Annual Conference & Exposition

Authors

Steven Barrett, University of Wyoming; Jeffrey Anderson, University of Wyoming; Jerry Hamann, University of Wyoming; Robert Kubichek, University of Wyoming; Suresh Muknahallipatna, University of Wyoming; John Pierre, University of Wyoming; David Whitman, University of Wyoming; Cameron Wright, University of Wyoming

Tagged Divisions

Computers in Education

. Page 14.528.1Suresh Muknahallipatna, University of Wyoming Suresh Muknahallipatna received his B. E. degree in Electrical Engineering and Master’s of Engineering from the University of Bangalore, India, in 1988 and 1991, respectively. He© American Society for Engineering Education, 2009 completed his Ph.D. degree at the University of Wyoming in 1995, with an emphasis on Neural Networks. He is a currently Associate Professor in the Dept. of ECE at the University of Wyoming. His current areas of expertise are performance analysis, modeling and simulations of storage area networks, mobile ad-hoc networks, and nano-satellite network.John Pierre, University of Wyoming John W. Pierre

Conference Session

Computers in Education 9 - Technology 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

David Beevers, Pennsylvania State University; Qi Dunsworth, Pennsylvania State University

Tagged Divisions

Computers in Education

and pressure at the end must be known. For the exitsin a reservoir or a tank, the final elevation is considered to be on the surface of the fluid. B. Difficulty selection.Before a system could be generated, different difficulty levels needed to be identified to ensurethat a student new to the topic would receive a reasonable problem, and a more practiced studentcould be given a more challenging problem [6], [7]. There are several factors that affect thedifficulty of these problems. First, problems with either an unknown flow rate or an unknownpipe diameter are the most difficult since they require an iterative approach to finding the Darcyfriction factor, with having an unknown diameter being somewhat more difficult than anunknown flow rate

Conference Session

Computers in Education 3 - Modulus I

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Roxanne Moore, Georgia Institute of Technology; Sunni Haag Newton, Georgia Institute of Technology; Meltem Alemdar, Georgia Institute of Technology; Sabrina Grossman, Georgia Institute of Technology; Jason Freeman, Georgia Institute of Technology; Jason Brent Smith, Georgia Institute of Technology; Tom Berry, Amazon Future Engineer

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

stereotypes around computing and computer science, particularly when it comes to creatingcode [5].To counter these stereotypes and to increase interest and diversity in computing, new courses andopportunities that infuse computing with creative disciplines, such as the arts, have beendeveloped and made available to K-12 audiences [6-8]. In this paper, we describe a competitionpiloted in the 2019-20 school year using EarSketch [9, 10], a learn-to-code through musicremixing platform where high school students were invited to submit original remixes of songsby Grammy award-winning R&B artist Ciara. Students coded in Python or JavaScript andcreated entries that conformed to the competition rules. In this paper, we present the details ofthis pilot

Conference Session

Innovative Use of Technology I

Collection

2015 ASEE Annual Conference & Exposition

Authors

Zhou Zhang, Stevens Institute of Technology; Mingshao Zhang, Stevens Institute of Technology; Yizhe Chang, Stevens Institute of Technology, School of Engineering and Science; Sven K. Esche, Stevens Institute of Technology, School of Engineering and Science; Constantin Chassapis, Stevens Institute of Technology, School of Engineering and Science

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

. Therefore, after segmentation, these features were extracted by the featureextractor. Then, these features were input into the classifier. Basically, the classifier can recognizethese 3 objects with very high accuracy (89.1% for the digital scale, 91.3% for the pump and98.4% for the Xplorer GLX. The relatively low accuracy of the recognition is attributable to theKinect’s inability to cope with reflective surfaces which reduces the scanning accuracy. (a) (b) Figure 9: Step motor (a) photograph of physical step motor; (b) model in GBVL Page

Conference Session

First Year Computing Topics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Nebojsa I Jaksic P.E., Colorado State University, Pueblo; Boyan Li; Benjamin Maestas; Katheryn Michelle Rothermal

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

robot’s chest,and a gyro sensor (one x-axis and one y-axis accelerometer) placed in the robot’s waist. Also,there is an IR sensor in the robot’s head used for communication with an included IR gamepad.The CM-530 controller based on ARM Cortex microcontroller (depicted in Figure 2) is capableof controlling 26 Dynamixel servomotors. The controller is shipped with the type A humanoidconfiguration preloaded. Even though the other two configurations, B and C, are described in theQuick Start manual their configurations must be downloaded. The controller includes the powerswitch, START, MODE, L, R, U, and D pushbuttons. By using the MODE pushbutton the usercan choose one of the three modes: manage, program, and play. CM-530 supports blue toothwireless

Conference Session

Issues in Computer Education

Collection

2006 Annual Conference & Exposition

Authors

Timothy Bower, Kansas State University-Salina

Tagged Divisions

Computers in Education

Page 11.1394.9students to understand the material covered in lectures. The student’s perception of the value ofkernel module projects was also high. A plan for a future semester is to combine the use ofLinux kernel module projects with simulation environment projects.Bibliography[1] Burian, Michael & Salzman, Peter Jay & Pomerantz, Ori. 2005, The Linux Kernel Module ProgrammingGuide. The Linux Documentation Project web site: http://www.tldp.org/LDP/lkmpg/[2] Bynum, B., & Camp, T. 1996, After You, Alfonse: A Mutual Exclusion Toolkit. Proceeding of the 27thSIGCSE Technical Symposium of Computer Science Education. 170-174.[3] Downey, Allen. 1999, Teaching Experimental Design in and Operating Systems Class. Proceedings of SIGCSE1999

Conference Session

Computers in Education Division Technical Session 4: Digital Learning Part II

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Ronald J. Hayne, The Citadel

Tagged Divisions

Computers in Education

Paper ID #28666Implementing Serial Communication for the Instructional ProcessorDr. Ronald J. Hayne, The Citadel Ronald J. Hayne is a Professor in the Department of Electrical and Computer Engineering at The Citadel. He received his B.S. in Computer Science from the United States Military Academy, his M.S. in Electrical Engineering from the University of Arizona, and his Ph.D. in Electrical Engineering from the University of Virginia. Dr. Hayne’s professional areas of interest include digital systems design and hardware de- scription languages. He is a retired Army Colonel with experience in academics and Defense

Conference Session

Computer Education Management Tools II

Collection

2008 Annual Conference & Exposition

Authors

Thomas Doyle, McMaster University; Adrian Ieta, Murray State University; Sheng Qian, McMaster University

Tagged Divisions

Computers in Education

– 99, 1989.8. Chen, X., Francia, B., Li, M., McKinnon, B., Seker, A., “Shared Information and Program Plagiarism Detection”, IEEE Transactions on Information Theory, v50-7, pp. 1545-1550, 2004.9. Schleimer, S., Wilkerson, D. S., Aiken, A., “Winnowing: Local Algorithms for Document Fingerprinting”, Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data, San Diego, California, USA, pp. 76 – 85, 2003.10. Shannon, C., Weaver, W., “The Mathematical Theory of Communication”, University of Illinois Press, 1949.11. Ieta, A., Doyle, T. E., Kucerovsky, Z., and Greason, W. D. "Challenges and Options Related to Scaling Raw Scores in Engineering Education," The International Network for Engineering

Conference Session

Instrumentation and Laboratory Systems

Collection

2007 Annual Conference & Exposition

Authors

Jon Sticklen, Michigan State University; Daina Briedis, Michigan State University; Mark Urban-Lurain, Michigan State University; Timothy Hinds, Michigan State University

Tagged Divisions

Computers in Education

Page 12.1587.3effective engineer: strong problem solving ability and joy in problem solving. Effective problemsolving is predicated on (a) thorough understanding of technical background material requiredfor the problem at hand or an ability to obtain that understanding, (b) ability to integratebackground material, (c) ability to sharpen a stated problem and produce a well-structuredproblem from an ill-structured problem, (d) ability to apply the background materialsystematically and effectively to the problem, (e) ability to critically interpret the results of theproblem solving, and (f) ability to communicate the results of the problem solving. Underlyingand pervasive through the preceding enumeration is the ability to work as part of a team

Conference Session

Tablet PC use in Education

Collection

2011 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education

. Vanides (Eds.) International Society for Technology and Education. Washington DC (2011, in press).4. L. Gazca, E. Palou, A. López-Malo, and J. M. Garibay. Capturing Differences of Engineering Design Learning Environments by Means of VaNTH Observation System. Proceedings of the ASEE Annual Conference. Austin, TX (2009).5. F. Kowalski, S. Kowalski, and E. Hoover. Using InkSurvey: A Free Web-Based Tool for Open-Ended Questioning to Promote Active Learning and Real-Time Formative Assessment of Tablet PC-Equipped Engineering Students. Proceedings of the ASEE Annual Conference. Honolulu, HI (2007).6. R. Anderson, R. Anderson, L. McDowell, and B. Simon. Use of Classroom Presenter in Engineering Courses. Proceedings of the 35th ASEE

Conference Session

Computer Education Management Tools II

Collection

2008 Annual Conference & Exposition

Authors

Roger Hadgraft, The University of Melbourne

Tagged Divisions

Computers in Education

Profession Formerly Known as Engineering. Chronicle of Higher Education 2003.8 Armstrong RC. A Vision of the Chemical Engineering Curriculum of the Future. MIT, 2005.9 King CJ. Engineers Should Have a College Education. CSHE-8-06 edn: Center for Studies in Higher Education, 2006.10 Atherton JS. Doceo: Competence, Proficiency and beyond. 2003.11 Boyd D. Friends, Friendsters, and MySpace Top 8: Writing Community Into Being on Social Network Sites. First Monday 2006 Dec 2006; 11.12 Shuell TJ. Cognitive Conceptions of Learning. Review of Educational Research 1986; 56: 411-436.13 Koen B. Discussion of the Method: Oxford University Press, 2003.14 Engineers Australia. Guide to Assessment of Eligibility for Membership (Stage 1 Competency). 2004.15

Conference Session

CoED General Technical Session I

Collection

2012 ASEE Annual Conference & Exposition

Authors

Dirk Schaefer, Georgia Institute of Technology; J. Lane Thames, Georgia Institute of Technology; Robert Donald Wellman Jr., Georgia Institute of Technology; Dazhong Wu, Georgia Institute of Technology; Sungshik Yim, Georgia Institute of Technology; David W. Rosen, Georgia Institute of Technology

Tagged Divisions

Computers in Education

service managers. Further, aparticular user can simultaneously be a service consumer, producer, and/or manager, dependingon the user’s role with respect to the system as a whole. For example, consider the user Alice.Alice can be a student participating in project A, a producer for project B, and a manager ofproject C.The communication assets of DICIS are comprised of four primary components: (1)communication network, (2) network security, (3) human asset service communication interface(SCI), and (4) manufacturing process asset service communication interface. We assume that thecommunication network is based on the Internet Protocol (IP) such that standardized, ubiquitous,Internet-based communications take place. The network security component

Conference Session

Issues in Computer Education-HDL

Collection

2007 Annual Conference & Exposition

Authors

Jonathan Hill, University of Hartford

Tagged Divisions

Computers in Education

statusinformation in the form of the values in the C and IR registers. A C S X AX ADDRESS PC BUS MUX ND DX DATA IR MUX MUX BUS D B

Conference Session

Tablets, Mobile and Technology

Collection

2013 ASEE Annual Conference & Exposition

Authors

Frank V Kowalski, Colorado School of Mines; Susan E. Kowalski, Colorado School of Mines; Tracy Q Gardner, Colorado School of Mines

Tagged Divisions

Computers in Education

withInkSurvey, one can see how student thinking changes over time. The example comes fromapplication of the standard deviation of the mean, all done in one class period in an engineeringphysics course. The students were given the problem that Jack was caught with 100 beans in hispocket in a small town. There is only one store that sells beans and we know the massdistribution of those beans. Questions A and B deal with this application of the distribution ofmean values.Question A: How would you know if Jack stole those beans from the town store? The particularstudent we are following submitted this response:In this response, the student does not utilize the mass distribution of the means for groups of 100beans, but rather uses the distribution of

Conference Session

Technical Session 4: Modulus Topics 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Afrin Naz, West Virginia University Institute of Technology; Jordan Nicole Bowen; Mardigon Max Toler, West Virginia University Institute of Technology; Mingyu Lu, West Virginia University Institute of Technology

Tagged Divisions

Computers in Education

used to supplement instructions, students are inspired to pursueSTEM careers [4]. In 2012, the Office of Research of West Virginia Department of Educationconducted a research on the effect of project-based learning; its report shows that, teachers whoreceived extensive training on project-based learning were capable of teaching the 21st CenturyStandards more effectively compared with teachers without experience on project-based learning[5]. (a) Teachers conducting mechanical engineering projects (b) Teachers conducting electrical engineering projects Figure 1: Two photos of our workshop in Project Based Learning.We have organized three workshops with project-based learning as the theme to high school

Conference Session

Computing Technology Session 2

Collection

2017 ASEE Annual Conference & Exposition

Authors

Elif Miskioglu, Bucknell University; Kaela M Martin, Embry-Riddle Aeronautical University, Prescott

Tagged Divisions

Computers in Education

use that information to develop and testinterventions that may accelerate student development of engineering intuition.References1 Raskin, P. Decision-Making by Intuition--Part 1: Why You Should Trust Your Intuition. Chemical Engineering, 100 (1988).2 Gigerenzer, G. Short cuts to better decision making. (Penguin, 2007).3 Kahneman, D. Thinking, Fast and Slow. New York, NY: Farrar, Straus, and Giroux. (Macmillan, 2011).4 Elms, D. G. & Brown, C. B. Intuitive decisions and heuristics–an alternative rationality. Civil Engineering and Environmental Systems, 274-284 (2013).5 Dreyfus, S. E. & Dreyfus, H. L. A Five-Stage Model of the Mental Activities Involved in Directed Skill Acquisition (1980

Conference Session

The Best of Computers in Education

Collection

2018 ASEE Annual Conference & Exposition

Authors

Alex Daniel Edgcomb, Zybooks; Nikitha Sambamurthy, Zybooks; Dasharath Gulvady P.E., MathWorks; Santosh Kasula, MathWorks

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

Conference, 2017.[2] Farook, O., J. Agrawal, A. Kulatunga, A. Ahmed, W. Yu, Y. Lee, and H. Alibrahim. FreshmanExperience Course in Electrical and Computer Engineering Technology Emphasizing Computation,Simulation, Mathematical Modeling, and Measurements. Proceedings of ASEE Annual Conference, 2017.[3] Polasik, A. Successes and Lessons Learned in an Undergraduate Computational Lab Sequence forMaterials Science and Engineering. Proceedings of ASEE Annual Conference, 2017.[4] Rihana-Abdallah, A. and J. Lynch. Using Matlab-generated Numerical Solutions in an EnvironmentalEngineering Class to Predict the Fate and Transport of Contaminants. Proceedings of ASEE AnnualConference, 2017.[5] Wheatley, B., T. Donahue, and K. Catton. An Active Learning

Conference Session

CoED General Technical Session I

Collection

2012 ASEE Annual Conference & Exposition

Authors

Han-lung Lin, University of California, Riverside; Thomas Stahovich, University of California, Riverside; James Herold, University of California, Riverside

Tagged Divisions

Computers in Education

-517 2005 [3] Eric Peterson, Thomas Stahovich, Eric Doi, Christine Alvarado, Grouping Strokes into Shapes in Hand-Drawn Diagrams Proc. of the 24th AAAI Conference on Artificial Intelligence (AAAI-10), 2010, pp. 974-979 [4] Patel, R.; Plimmer, B.; Grundy, J.; and Ihaka, R. 2007. Ink features for diagram recognition. In Proc. of SBIM. [5] Bhat, A., and Hammond, T. 2009. Using entropy to identify shape and text in hand-drawn diagrams. In IJCAI. Page 25.243.10 [6] Bishop, C. M.; Svensen, M.; and Hinton, G. E. 2004. Distinguishing text from graphics in on-line handwritten ink. In Proc. of the Int. Workshop on FHR, 142

Conference Session

CoED: Computer Science Topics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Afrin Naz, West Virginia University Institute of Technology; Mingyu Lu, West Virginia University Institute of Technology; Cody Ryan Zackoski, West Virginia University Institute of Technology; Caleb R Dingus, West Virginia University Institute of Technology

Tagged Divisions

Computers in Education

of more standardprogramming languages. It is possible to teach the most basic of computer science concepts—simple sequential instructions—up to Boolean logic, iteration, and even recursion by usingScratch. (a) A recursive Fibonacci Algorithm in Scratch. (b) An interactive animal cell in Scratch . Figure 1: Photos of Math and Science Scratch sample projects. .However if Scratch were only a useful pedagogical tool for introducing older students to theconcepts of computer programming, its utility would be limited. Scratch is not limited in itsusefulness as a tool that can be used only for this purpose. Students are learning with Scratch

Conference Session

Computers in Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Wen Huang, Arizona State University, Polytechnic campus

Tagged Divisions

Computers in Education

al., “A Conditional Reasoning Measure for aggression,” Organ. Res. Methods, vol. 8, no. 1, pp. 69–99, 2005.[17] E. G. Cohen, “Restructuring the Classroom : Conditions for Productive Small Groups,” Rev. Educ. Res., vol. 64, no. 1, pp. 1–35, 1994.[18] J. S. Bunderson and R. E. Reagans, “Power , Status , and Learning in Organizations,” Organ. Sci., vol. 22, no. 5, pp. 1182–1194, 2011.[19] E. G. Cohen, R. A. Lotan, B. A. Scarloss, and A. R. Arellano, “Complex instruction: Equity in cooperative learning classrooms,” J. Soc. Psychol., vol. 38, no. 2, pp. 80–86, 1999.[20] K. Ehrlenspiel, A. Giapoulis, and J. Günther, “Teamwork and design methodology— Observations about teamwork in design education,” Res. Eng. Des., vol. 9

Conference Session

Computer Education Innovations I

Collection

2010 Annual Conference & Exposition

Authors

Marcial Lapp, University of Michigan; Jeffrey Ringenberg, University of Michigan; T. Jeff Fleszar, University of Michigan

Tagged Divisions

Computers in Education

Science Class.Proceedings of the 17th SIGCSE symposium on Computer science education, 138-143.[2] Bergin, S. & Reilly, R. (2005). Programming: factors that influence success. ACM SIGCSEBulletin, Volume 37 – Issue 1, 411-415.[3] Bateman, C.R. (1973) Predicting performance in a basic computer course. Proceedings of theFifth Annual Meeting of American Institute for Decision Sciences, Boston, MA. 130-133.[4] Butcher, D.F., & Muth, W.A. (1985). Predicting performance in an introductory computer sciencecourse. Communications of the ACM, 28, 263-268.[5] Campbell P. F., & McCabe, G. P. (1984). Predicting the success of freshmen in a computerscience major. Commun. ACM, 27(11):1108–1113.[6] B. Cantwell-Wilson & Shrock, S

Conference Session

Computers in Education Division Technical Session 5: Online Teaching and Learning

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Kenneth Reid, Virginia Tech; Max Mikel-Stites, Virginia Tech

Tagged Divisions

Computers in Education

result of this course a student will be able to: 1. Demonstrate the ability to use various engineering tools in solving design problems, including MATLAB, Inventor, and physical prototyping 2. Demonstrate proficiency with implementing an engineering design process, a. Collect, analyze, represent, and interpret data a. Use systematic methods to develop solutions for problems b. Identify all relevant stakeholders, constraints, and needs 3. Communicate engineering decisions to technical managers, 4. Contribute effectively to an engineering team. 5. Evaluate ethical implications of engineering solutionsBoth courses were offered in sections of no more than 32 students. In the 2018-2019 academic year

Conference Session

Computational Tools and Simulation II

Collection

2009 Annual Conference & Exposition

Authors

Radian Belu, Drexel University; Alexandru Belu, Case Western Reserve University

Tagged Divisions

Computers in Education

the merits of using algebrasystems, visualization and simulation tools in teaching undergraduate courses inengineering electromagnetics. A complex computer-assisted problem-based learningsystem is proposed and is underway to be developed to assist and enhance teaching andlearning of electromagnetics through the use of symbolic computation, multimedia, andvisualization. Electromagnetics forms the basis of all electrical engineering fromelectrostatics, electric machines, power electronics, microwave engineering to radiopropagation and antenna theory. Electromagnetics has long been considered to be one ofthe most difficult subjects by students, primarily for the following reasons: a)electromagnetic concepts are perceived to be abstract, b) the

Conference Session

Online and Web-based Education

Collection

2010 Annual Conference & Exposition

Authors

HsinPiao Hsu, Kainan University; Hui-Ying Wu, Ching Yun University

Tagged Divisions

Computers in Education

requirements, (b) planningsite design and page layout, (c) understanding Adobe Dreamweaver interface, (d)adding content, (e) organizing content, and (f) evaluating and maintaining a site.The results indicated that there were significant differences between students ofthe Information Communications Department and those of other departments inthe domain of web communication. Four competency indicators of planning sitedesign and page layout, understanding Adobe Dreamweaver interface, addingcontent, and organizing content were detected, and the findings were that the ICDepartment students outperformed the others. The students’ background variableson the influence of web communication competency were analyzed and resultsindicated that background variables

Conference Session

Programming for Engineering Students

Collection

2007 Annual Conference & Exposition

Authors

Christian Hipp, University of South Carolina; Veronica Addison, University of South Carolina

Tagged Divisions

Computers in Education

. TABLE 2: COMPUTER USE2. Prior to college, how often did you utilize a ALWAYS OFTEN SELDOM NEVERpersonal computer at the following places: a. At Home? 61% 34% 5% 0% b. At School? 9% 38% 52% 1% c. At Library? 5% 23% 48% 23% d. At internet café? 1% 0% 5% 94% e. other: _______ 7% 0% 0% 93% (only one other category added – “Work”)3. Since college, how often do you utilize apersonal computer at the following places: a. At home? 41% 32% 21% 6

Conference Session

Software Engineering Concepts

Collection

2017 ASEE Annual Conference & Exposition

Authors

Sushil Acharya, Robert Morris University; Priya Manohar, Robert Morris University; Peter Y Wu, Robert Morris University; Bruce R Maxim, University of Michigan, Dearborn

Tagged Divisions

Computers in Education

a complete description of the active learning tool. This file consists of the following sections b) Instructional Slide: This is a MS Power Point file that provides instructional support to the instructor. This file is available for most of the tools. Instructors are advised to use this as it is or customize it to suit their needs. c) Student Handout: This is a MS Word file that can be customized and handed out to students during class. Students either return the completed version of this file or develop new documents that are then submitted for assessment. d) Assessment Instrument: This is a MS Word file that is used for assessing student learning (Figure 1). The survey has 10 questions and the

Conference Session

Hardware Descriptive Language Education

Collection

2008 Annual Conference & Exposition

Authors

Jonathan Hill, University of Hartford

Tagged Divisions

Computers in Education

to (14) and solving forW (s ) leads to (15). Page 13.335.13 Va (t ) − Vm (t ) I a (t ) = (12) Ra Kt Va (t ) = dtd ω (t ) + K x ω (t ) (13) Ra J m b K K 1 where K x = m + t m = + K y J m

Conference Session

Mobile Robotics in Education

Collection

2006 Annual Conference & Exposition

Authors

Michael Parten, Texas Tech University

Tagged Divisions

Computers in Education

done through software.The motor drivers on the new system are TI TPIC0107-B Intelligent H-Bridges. Theseparts have a number of built-in safety features including current limiting cut-offs. Theyrequire direction logic in addition to the PWM signal for speed. The MSP 430 mustconvert the standard servo drive signal to the appropriate direction and power drive forthe motors. [12] Receiver 7.2 V Battery (CV1) (B1) Legend PWM Signal

Conference Session

Online and Web-based Education

Collection

2010 Annual Conference & Exposition

Authors

Susan Miertschin, University of Houston; Carole Goodson, University of Houston; Susan Schroeder, University of Houston

Tagged Divisions

Computers in Education

a specific time increases their commitment to attend. ≠ Develop an online sign in process to better monitor program utilization. ≠ Develop a privacy policy so users are aware of session recording options.Bibliography1. Avison, D., Baskerville, R., & Myers, M. (2001). Controlling Action Research Projects. Information Technology & People, 14(1), 28-45.2. Bloom, B. S. (1984). The search for methods of group instruction as effective as one-to-one tutoring. Educational Leadership, 41(8), 4.3. Bork, A. (2000). Learning technology. Educause Review, 35(1), 74-81.4. Chang, S. L. (2004). The roles of mentors in electronic learning environments. AACE Journal, 12(3), 331-342.5. Elden, M., & Chisholm, R. F. (1993