Conference Session

Computers in Education Division Technical Session 1: Topics Related to Engineering - Part 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Conrad Tucker, Carnegie Mellon University; Kathy Schmidt Jackson, Pennsylvania State University, University Park; John Jongho Park, Penn State University

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Diversity

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Computers in Education

can vary by regions because of their proximity togeographic locations close to AI sectors (e.g. Pittsburgh or Silicon Valley) that have a highimpact on the communities/culture. Therefore, there is a necessity to expand this study with alarger population of participants from various ethnic backgrounds, professions and regions.AcknowledgmentThis research is funded by the National Science Foundation NSF DUE #1941782. Any opinions,findings, or conclusions found in this paper are those of the authors and do not necessarily reflectthe views of the sponsor.References(1) Nadelson, L. S.; Seifert, A. L. Integrated STEM Defined: Contexts, Challenges, and the Future; Taylor & Francis, 2017.(2) Boston, M. D.; Smith, M. S. A ‘Task-Centric

Conference Session

Web-Based Education

Collection

2008 Annual Conference & Exposition

Authors

Ece Yaprak, Wayne State University; Karen Tonso, Wayne State University

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Computers in Education

ICD2 AND previous laboratory exercise. Students are MPLAB ICD2 In- PICDEM 2 PLUS — asked to modify the program(s) so that they can Circuit Debugger Scrolling LCD write the words they wish to scroll on the LCD. and Demo Board4. INTRODUCTION TO This laboratory exercise allows students to • DV164006 2-weeks THE PICDEM NET2 develop Internet connectivity applications over MPLAB ICD2 In- DEVELOPMENT an Ethernet connection using embedded Circuit Debugger ENVIRONMENT_1 Microchip controllers over Ethernet and the and Demo Board Internet. Students will get familiar with the • DM163024

Conference Session

Computer Hardware and Simulation

Collection

2013 ASEE Annual Conference & Exposition

Authors

Michael G. Morrow, University of Wisconsin-Madison; Cameron H. G. Wright P.E., University of Wyoming; Thad B. Welch, Boise State University

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Computers in Education

, “Teaching DSP: Bridging the gap from theory to real-time hardware,” ASEE Comput. Educ. J., pp. 14–26, July–September 2003. [2] C. H. G. Wright, M. G. Morrow, M. C. Allie, and T. B. Welch, “Using real-time DSP to enhance student retention and engineering outreach efforts,” ASEE Comput. Educ. J., pp. 64–73, October–December 2008. Page 23.172.8 [3] C. S. Burrus, “Teaching filter design using M ATLAB,” in Proceedings of the IEEE International Con- ference on Acoustics, Speech, and Signal Processing, pp. 20–30, Apr. 1993. [4] R. F. Kubichek, “Using M ATLAB in a speech and signal processing class,” in Proceedings of the 1994 ASEE

Conference Session

Social Media and In-class Technology: Creating Active Learning Environments

Collection

2012 ASEE Annual Conference & Exposition

Authors

John Patrick Hogan, Missouri University of Science & Technology; Dan Cernusca, Missouri University of Science & Technology

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Computers in Education

petroleum engineering in the United States.At Missouri University of Science and Technology (Missouri S&T), Structural Geology is arequired course for all undergraduate of these undergraduate degree programs and commonlyseveral civil engineers elect to take the course as well. That is, scientists(geologists /geophysicists) and the engineers enroll in the same course as early exposure to collaborationamong the different disciplines will better prepare them to participate in multidisciplinary teams– now commonplace in the work force (e.g., energy and materials sectors).The course is typically taken in the first semester of the junior year, but many sophomores andseniors commonly enroll in the course as well. Students are expected to have already

Conference Session

Computers in Education Poster Session

Collection

2010 Annual Conference & Exposition

Authors

J. Wey Chen, Southern Taiwan University

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Computers in Education

suggested system by incorporating other programming languages suchas C++ and MS Visual Basic.AcknowledgementThis work is funded by the National Science Council in Taiwan, under the “Science Education”Program, Project No. NSC 97-2511-S-218-005-MY2.Bibliography1. Allen Tucker. (2003). A Model Curriculum for K-12 Computer Science. Final Report of the ACM K-12 Education Task Force Curriculum Committee. ACM.2. Bransford, J.D., Brown, A.L., and Cocking, R.R.(2000). How People Learn: Brain, Mind, Experience, and School. Washington, D.C.:National Academy Press.3. Resnick, M. (1995). New paradigms for computing, new paradigms for thinking. In A. diSessa, Hoyles, C., & Noss, R. (Eds.), Computers and Exploratory Learning (pp. 31-43). New York

Conference Session

Best of Computers in Education Division

Collection

2012 ASEE Annual Conference & Exposition

Authors

Barry E. Mullins P.E., Air Force Institute of Technology

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Computers in Education

. McAfee, Operation Aurora, http://www.mcafee.com/us/threat_center/operation_aurora.html, last accessed 6 January 2011.3. Bill to require private sector reporting of cyber attacks, http://www.federalnewsradio.com/index.php?nid=150&sid=2123868, last accessed 6 January 2011.4. BBC News, Cyber attacks and terrorism head threats facing UK, BBC News, http://www.bbc.co.uk/news/uk- 11562969, last accessed 6 January 2011.5. J. Bliss, U.S. Nuclear Plants Vulnerable to Cyber Attacks, Analysts Say, http://www.bloomberg.com/news/2010-11-17/u-s-nuclear-plants-vulnerable-to-cyber-attacks-analysts- say.html, last accessed 6 January 2011.6. S. Gorman and S. Fidler, Cyber Attacks Test Pentagon, Allies and Foes, http

Conference Session

Tablet PC use in Education

Collection

2011 ASEE Annual Conference & Exposition

Authors

James E. Lewis, University of Louisville; Jeffrey Lloyd Hieb, University of Louisville

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Computers in Education

. Section 3 presents the development of the seminar and theworkshop (Tablet Faculty Learning Community). The seminar was presented in April of 2010and the workshop/faculty learning community was conducted over a 10 week period during thesummer semester of 2010. Section 4 discusses the authors’ experiences presenting the seminarand leading the workshop. Some conclusions and future direction are discussed in section 5.2. Background InformationA tablet PC is a laptop or notebook that has a screen capable of pen based input. Interest in thepotential use of tablet PCs as an educational tool began in earnest in the early 2000’s. Aspointed out by Joel Backon, “Tablet PCs merge the productivity improvement afforded by PCtechnology with the fundamental

Conference Session

Signal Processing Education

Collection

2010 Annual Conference & Exposition

Authors

Robert Santucci, Arizona State University; Tushar Gupta, Arizona State University; Mohit Shah, Arizona State University; Andreas Spanias, Arizona State University

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Computers in Education

-DSPTonalityDue to the presence of a large amount of noise in the signal, the original tone of the signal mightget masked. Tonality is a measure of the signal‟s tone-like or noise-like characteristic. TheSpectral Flatness Measure (SFM), defined as the ratio of the geometric mean to the arithmeticmean of the power spectrum, is used to compute the tonality for each frame 4. P(k )  Re2[ X (k )]  Im2[ X (k )] (2) GM {P(k)} (3) SFM (dB)  10 log10 AM {P(k)} SFMdB

Conference Session

Computers in Education 2 - Programming 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Xueyi Bao, Notre Dame University; Jun Han, University of Notre Dame; Chaoli Wang, University of Notre Dame

Tagged Divisions

Computers in Education

that need to be cast through, the texture coordinate, and the depth of the entry point. Theray direction is given by the vector from the entry and exit points in the texture space. Each sample’s position alongthe ray direction is computed via linear interpolation. In terms of how many samples we should take, we set the stepsize as half of a voxel. Users can adjust the Sampling Rate parameter to change the number of samples taken alongeach ray. Note that the assigned opacity also depends on the sampling rate. For example, when using fewer slices, theopacity has to be scaled up, so that the overall intensity of the rendering results remains the same. We use Equation 1to correct the opacity whenever users change the sampling rate s from the

Conference Session

Computers in Education 4 - Online and Distributed Learning 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Juliana Lynn Fuqua, California State Polytechnic University, Pomona; Faye Linda Wachs, California State Polytechnic University, Pomona; Paul Morrow Nissenson, California State Polytechnic University, Pomona; Deanna Miranda Barrios; Cecilia Nguyen, California State Polytechnic University, Pomona

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Diversity

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Computers in Education

Accessibility Initiative, “Making Audio and Video Media Accessible,” Accessed November 2020.Available at [11] Bureau of Internet Accessibility, “Checklist for Creating Accessible Videos,” Accessed November 2020.Available at [12] G. Morin, J. Rubin, and R. Leisinger, “508 Accessible Videos – Why (and How) to Make Them,” Available at[13] Directory of Coursera University Partners. Accessed November 2020. Available at[14] Directory of edX University Partners. Accessed November 2020. Available at[15] Cal Poly Pomona Mechanical Engineering Department YouTube account. Available at[16] Cal Poly Pomona Mechanical Engineering Department video content website, ME Online. Available at[17] S. Tosun, The Effects of Blended Learning on EFL Students’ Vocabulary

Conference Session

Effective Use of Technology in Education

Collection

2016 ASEE Annual Conference & Exposition

Authors

Nina Magpili, Engineering Management & Systems Engineering (EMSE), Old Dominion University; Pilar Pazos, Old Dominion University; Preetham Sathish Ullal, Old Dominion University

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Computers in Education

others,10,37 so that they can learn beyond lectures and homework assignments.38 It isonly paramount that we investigate what we can do to improve these web-based scaffolds sostudents would be able to maximize collective outcomes while promoting individual learning.References1. Weber, M. S., & Kim, H. (2015). Virtuality, technology use, and engagement within organizations. Journal of Applied Communication Research, 43(4), 385-407. doi:10.1080/00909882.2015.10836042. Passow, H.J. (2012). Which ABET competencies do engineering graduates find most important in their work? Journal of Engineering Education, 101(1), 95-118.3. Prados, J.W., G.D. Peterson, And L.R. Lattuca. (2005). Quality assurance of engineering education through

Conference Session

Computers in Education 2 - Programming 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Safia Malallah, Kansas State University; Khaled Nasser Alsalmi, The Public Authority for Applied Education and Training; Joshua Levi Weese, Kansas State University

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Diversity

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Computers in Education

[1] D. Barr, J. Harrison, and L. Conery, "Computational thinking: A digital age skill for everyone," Learning & Leading with Technology, vol. 38, no. 6, pp. 20-23, 2011.[2] C. ISTE. "Computational Thinking Leadership Toolkit - ISTE." https://cdn.iste.org/www-root/ct-documents/ct-leadershipt-toolkit.pdf?sfvrsn=4 (accessed 2021).[3] I. Corradini, M. Lodi, and E. Nardelli, "Computational Thinking in Italian Schools: Quantitative Data and Teachers' Sentiment Analysis after Two Years of" Programma il Futuro"," in Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education, 2017, pp. 224-229.[4] S. F. Sidek, C. S. Said, and M. H. M. Yatim, "Characterizing

Conference Session

Computers in Education 4 - Online and Distributed Learning 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Sunay Palsole, Texas A&M University; Jeff Chernosky, Texas A&M University; Randy McDonald, Texas A&M University Engineering

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Diversity

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Computers in Education

] M. Simmons, G. Parchoma, M. Jacobsen, D. Nelson, and S. Bhola, “Designing for studentengagement in an online doctoral research methods course. Proceedings of the IDEAS:Designing for Innovation. pp. 81–91, 2016.[3] P. Nuangchalerm, T. Polyiem, and P. Wongchantra, “Learning achievement, science processskills, and moral reasoning of ninth grade students learned by 7E learning cycle andsocioscientific issue-based learning. Australian Journal of Basic and Applied Sciences, vol. 5,no. 10, pp. 257-564, 2011.[4] S.J. Baldwin and J.H. Trespalacios, “Evaluation instruments and good practices in onlineeducation,” Online Learning, vol. 21, no. 2. pp. 1-18. doi:10.24059/olj.v21i2.913, 2017.[5] P. K. Gibson and T. Kinsey, “Need we train online

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

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Computers in Education

Paper ID #19852Improving the Requirements Inspection Abilities of Computer Science Stu-dents through Analysis of their Reading and Learning StylesMr. Anurag Goswami, North Dakota State University Anurag Goswami is a Ph. D. Candidate in the department of Computer Science at North Dakota State University. His main research interests include empirical software engineering, human factors in software engineering, and software quality. He is a member of the IEEE Computer Society.Dr. Gursimran Singh Walia, North Dakota State University Gursimran S. Walia is an associate professor of Computer Science at North Dakota State University

Conference Session

COED: Gamification and Introducing Students to Programming

Collection

2018 ASEE Annual Conference & Exposition

Authors

Farzana Rahman, Florida International University

Tagged Divisions

Computers in Education

process. In future, we plan to offer these as regularcourses in affiliation with local schools where a K-12 teacher can take the role of the instructor.Finally, one week for each course did not seem to be sufficient to expose participants to manyimportant concepts of either AI2 or OOP. Hence, running the two course over an entire semesteror two consecutive semesters might allow instructors to cover more programming concepts whichare required to solve problems in the real world.8. REFERENCES[1]. S. Kurkovsky, “Making computing attractive for non-majors: a course design,” Journal of Computer.Science Coll. Vol.22, No. 3, pp. 90-97, Jan 2007.[2]. A. Forte and M. Guzdial, M”otivation and nonmajors in computer science: identifying discreteaudiences for

Conference Session

Software and Programming

Collection

2015 ASEE Annual Conference & Exposition

Authors

Krista M. Hill, University of Hartford; Ying Yu, University of Hartford

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Diversity

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Computers in Education

CPLD Provides a Third Option in the Introductory Logic Circuits Course,” ASEE National Convention, 2012, session W516, AC 2012-53025 D. Hodges, H. Jackson, and R. Saleh, Analysis and Design of Digital Integrated Circuits in Deep Submicron Technology, third edition, copyright 2004 by McGraw-Hill.6 S. Kang and Y. Leblebici, CMOS Digital Integrated Circuits, third edition, copyright 2003 by McGraw-Hill.7 D. Kolb, “Chapter Two: The Process of Experiential Learning,” Experiential Learning, Experience as The Source Page 26.1252.15 of Learning and Development, copyright 1984 by Prentice-Hall.8 K. Nickels, “Pros and Cons of replacing

Conference Session

Software and Programming

Collection

2015 ASEE Annual Conference & Exposition

Authors

Debra J. Mascaro, University of Utah; Stephen Mascaro, University of Utah

Tagged Divisions

Computers in Education

S drivve the motorr back and foorth with theeirArduino RoMeos to make m sure itt works.PPP: Stuudents are asssigned textb book problem ms only, leavving time to study for mmidterm.Figure 8. 8 Linear Mo otion Stage (Lab 6) and d Reloader M Mechanism m (Lab 6b)Lab 6bProgrammming Objecttive: None (study for miidterm).Project Objective: O Assemble A and d test reloadiing mechanissm consistinng of Makebblock servom

Conference Session

Computers in Education Division Technical Session 1: Topics Related to Engineering - Part 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Burford J. Furman, San Jose State University; Salman Ahsan, San Jose State University; Eric Wertz, self/EduShields

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Diversity

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Computers in Education

/262274614_Simply_Python_for_CS0/links/54de78c40cf296663786a2a1/Simply-Python-for-CS0.pdfArora, S. A. S. (2018, September 5). Learn Python: Tutorials for Beginners, Intermediate, andAdvanced Programmers. Retrieved January 11, 2020, from https://stackify.com/learn-python-tutorials/.Ateeq, M., Habib, H., Umer, A., & Rehman, M. (2014). C++ or Python? Which One to Beginwith: A Learner's Perspective. In 2014 International Conference on Teaching and Learning inComputing and Engineering (pp. 64–69). (Available:https://www.researchgate.net/publication/271425337_C_or_Python_Which_One_to_Begin_with_A_Learner's_Perspective)Bell, C. (2017). MicroPython for the Internet of Things: A Beginner’s Guide to Programmingwith Python on Microcontrollers. Apress. https://link.springer.com

Conference Session

Computer Hardware and Simulation

Collection

2013 ASEE Annual Conference & Exposition

Authors

Man Wang, Michigan Technological University; Jun Tao, Michigan Technological University; Chaoli Wang, Michigan Technological University; Ching-Kuang Shene, Michigan Technological University; Seung Hyun Kim, Michigan Technological University

Tagged Divisions

Computers in Education

the user evaluation. We would like to thank Bill Kuo, WeiWang, Cindy Bruyere, Tim Scheitlin, and Don Middleton of the U.S. National Center forAtmospheric Research and the U.S. National Science Foundation for providing the WeatherResearch and Forecasting Model simulation data of Hurricane Isabel. This hurricane simulationdata set is made available through IEEE Visualization 2004 Contest. Page 23.609.17References[1] Z. Peng and R. S. Laramee. Higher Dimensional Vector Field Visualization: A Survey. Theory andPractice of Computer Graphics, pages 149-163, 2009.[2] R. S. Laramee, H. Hauser, H. Doleisch, B. Vrolijk, F. H. Post, and D. Weiskopf. The State of the Artin Flow Visualization: Dense and Texture-based

Conference Session

Online Learning

Collection

2012 ASEE Annual Conference & Exposition

Authors

Lance Kinney P.E., University of Texas, Austin; Min Liu, University of Texas, Austin; Mitchell A. Thornton Ph.D., P.E., Southern Methodist University

Tagged Divisions

Computers in Education

Instruction." Computers & Education 55(2): 733-741.8 Ariadurai, S. A. & Manohanthan, R. (2008). "Instructional Strategies in Teaching Engineering at a Distance: Faculty Perspective." International Review of Research in Open and Page 25.630.16 Distance Learning 9(2): 1-11 MURL: E-Journal Full Text.9 Davis, F. D. (1989). "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology." MIS Quarterly 13(3): 319-340.10 Mitra, A., Hazen, M.D., LaFrance, B., & Rogan, R.G. (1999). "Faculty Use and Non-Use of Electronic Mail: Attitudes, Expectations and

Conference Session

Software and Hardware for Educators II

Collection

2010 Annual Conference & Exposition

Authors

Daniel McCarthy, University of Wyoming; Cameron Wright, University of Wyoming; Steven Barrett, University of Wyoming; Jerry Hamann, University of Wyoming

Tagged Divisions

Computers in Education

thecourse professor.3 Description of New Lab Exercises3.1 Lab 1: Binary Arithmetic3.1.1 Key ConceptsThe key concepts addressed in this lab are: • converting between the binary, hexadecimal, and decimal number systems; • addition and subtraction of unsigned and signed 2’s complement numbers along with over- flow detection; • an introduction to the Xilinx and ModelSim software packages; and • the simulation of a design using Xilinx and ModelSim software.3.1.2 Pre-Lab Exercises Page 15.1115.5This pre-lab requires students to complete the addition and subtraction exercises shown in Table 1.Students must use the

Conference Session

Best of Computers in Education Division

Collection

2016 ASEE Annual Conference & Exposition

Authors

Osman Yasar, The College at Brockport - SUNY; Peter Veronesi, The College at Brockport - SUNY; Jose Maliekal, The College at Brockport, SUNY; Leigh J Little, The College at Brockport - SUNY; Sounthone E Vattana, The College at Brockport - SUNY; Ibrahim H. Yeter, Texas Tech University

Tagged Divisions

Computers in Education

simulations that provide quick feedbackto researchers in order to improve the initial model.45CMST’s role in scientific and industrial research wasproven beyond doubt when computational predictionsmatched behavior of physical models in high-stake cases(e.g., safety of cars and planes, emissions from engines, andapproaching storms). Its use was uniquely justified when astudy was impossible to do experimentally because of itssize (too big such as the universe or too small such assubatomic systems), environmental conditions (too hot ordangerous) or cost. CMST eventually demonstrated to be Basic concepts, details & factsgenerating innovation and insight, just like experimentaland theoretical research and this ultimately led to the S u b M o d e l

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

CoED Mechanical Engineering Topics

Collection

2017 ASEE Annual Conference & Exposition

Authors

James E. Lewis, University of Louisville; Thomas D. Rockaway, University of Louisville; Gerold Willing, University of Louisville

Tagged Divisions

Computers in Education

Publishing, Available at mylabsplus.com [Accessed February 2017]..2. MasteringEngineering by Pearson Publishing, Available at masteringengineering.com [Accessed February 2017]..3. Bonham, S., Beichner, R. & Deardorff, D., Online Homework: Does it Make a Difference? The Physics Teacher 39 (6), 293-296 (2001).4. Doorn, D., Janssen, S. & and O'Brien, M., Student Attitudes and Approaches to Online Homework. International Journal for the Scholarship of Teaching and Learning 4 (1) (2010).5. Dodson, J. R., The Impact of Online Homeowrk on Class Productivity. Science Education International 25 (4), 354-371 (2014).

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

Studies are explicit in this approach: each Case Study makes the point to consider issues inrealistic practices. Instructors can present the Case Study while guiding students into furtherstudy and discussion of the practical issues in SV&V. The Class Exercises are designed forinteraction in the classroom during group discussions. The instructor brings the question(s) andserves as a moderator to guide the discussion session. The instructor may also use the ClassExercise to lead students into subsequent group mini projects or individual mini projects. The“Instructor Notes” component of the Class Exercise discusses these possibilities. Students arelikely to find the Case Study Videos by their nature as multimedia, as highly engaging. Thesevideos

Conference Session

Computers in Education Division Poster Session

Collection

2016 ASEE Annual Conference & Exposition

Authors

Christian Kreiter MSc, Carinthia University of Applied Sciences; Danilo Garbi Zutin P.E., Carinthia University of Applied Sciences; Michael E. Auer, Carinthia University of Applied Sciences

Tagged Divisions

Computers in Education

Austrian Federal Ministry of Science, Researchand Economy.References1. Kreiter, C.; Garbi Zutin, D.; Auer, M.E., "An HTML client for the Blackbody Radiation Lab," in RemoteEngineering and Virtual Instrumentation (REV), 2015 12th International Conference on , vol., no., pp.230-234,25-27 Feb. 20152. Mujkanovic, A.; Garbi Zutin, D.; Schellander, M.; Oberlercher, G.; Vormaier, M., "Impact of students'preferences on the design of online laboratories," in Global Engineering Education Conference (EDUCON),2015 IEEE , vol., no., pp.823-826, 18-20 March 20153. V. J. Harward, J. A. Del Alamo, S. R. Lerman, P. H. Bailey, J. Carpenter, K. DeLong, C. Felknor, J. Hardison,B. Harrison, I. Jabbour, P. D. Long, T. Mao, L. Naamani, J. Northridge, M. Schulz, D

Conference Session

Computing Tools for Engineering Education

Collection

2006 Annual Conference & Exposition

Authors

Matthew Roberts, University of Wisconsin-Platteville; Christina Curras, University of Wisconsin-Platteville; Philip Parker, University of Wisconsin-Platteville

Tagged Divisions

Computers in Education

, a “linking table” was used as illustrated in Figure 2. Another many-to-manyrelationship was required for the concept(s) covered by a problem. A homework problem willtypically have more than one concept (or lesson objective) that is covered. To accomplish this,another linking table was used similar to the one shown in Figure 2. Figure 2 - Creating assignments with problem records.Database ImplementationBecause many different instructors will be using the database, a user interface was created toallow fast access to reports and data-entry forms. The main interface for the database can beseen in Figure 3. Figure 3 – Main database user interface.A form was also created to facilitate the creation

Conference Session

Computer Tools for Education

Collection

2007 Annual Conference & Exposition

Authors

Jeff Frolik, University of Vermont

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Computers in Education

. Additional thanks to MicroStrain, Inc. of Williston, Vermont forgenerously supporting a wide range of wireless sensor related activities at UVM.Bibliography1 J. Frolik and J. Zurn, “Evaluation of Tablet PCs for engineering instruction and content development,” ASEEComputers in Education Journal, Vol. 15, No. 3, July-September 2005.2 J. Cimbala, R. Toto, M. Wharton and J. Wise, “One step beyond: lecturing with a Tablet PC,” 2006 ASEE AnnualConference, Chicago IL.3 S. Brophy and G. Walker, “Case study of the pedagogical impact of Tablet PCs as a presentation medium in large-scale engineering classrooms,” 2005 ASEE Annual Conference, Portland OR.4 J. Griffioen, W. Seales, J. Lumpp, “Teaching in realtime wireless classrooms,” Frontiers in Education

Conference Session

Web-Based Education

Collection

2006 Annual Conference & Exposition

Authors

William Ziegler, State University of New York-Binghamton University

Tagged Divisions

Computers in Education

at the receiver(s) and pressing the desired button. As shown in Figure 4, theacquisition software displays a box on the computer screen for each student's remote. Thisallows both the students and the instructor to verify that each response has been recorded. Thelocation of each box remains the same for the entire semester and the color of each box isdetermined by the last digit of the remote ID number. Figure 4: Students respond to questions2Responses TabulatedThe receiver(s) collect the student responses and sends them to the host computer (Windows,Macintosh, or Linux). The software associates student names with the remote ID numbers andgrades the responses instantly. The results are saved in a file and if desired, a

Conference Session

Computers in Education General Technical Session 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

Sushil Acharya, Robert Morris University; Priya Manohar, Robert Morris University; Walter W Schilling Jr., Milwaukee School of Engineering; Ali A. Ansari, Virginia State University; Peter Y Wu

Tagged Divisions

Computers in Education

Paper ID #9007Collaborative Education: Building a Skilled Software Verification and Vali-dation User CommunityDr. Sushil Acharya, Robert Morris University Acharya joined RMU in Spring 2005 after serving 15 years in the Software Industry. With US Airways, Acharya was responsible for creating a conceptual design for a Data Warehouse which would integrate the different data servers the company used. With i2 Technologies he led the work on i2’s Data Mining product ”Knowledge Discover Framework” and at CEERD (Thailand) he was the product manager of three energy software products (MEDEE-S/ENV, EFOM/ENV and DBA-VOID) which were