Conference Session

Computed Simulation and Animation

Collection

2007 Annual Conference & Exposition

Authors

Tarek El Doker, Embry-Riddle Aeronautical University; David Lanning, Embry-Riddle Aeronautical University; Justin Gigliotti, Embry-Riddle Aeronautical University

Tagged Divisions

Computers in Education

classroom environment, which allows for learning of concepts not easilygrasped in a traditional lecture setting.AcknowledgementsThe authors would like to acknowledge the support of the Arizona Space Grant for the fundingof student work on the project.Bibliography1. Gere, J. and Timoshenko, S. Mechanics of Materials, Second Edition. Boston, MA: PWS Publishers, 1984.2. Gere, J. Mechanics of Materials, Sixth Edition. Belmont, CA: Thomson, 2004.3. Mosterman, P.J., Dorlandt, M., Campbell, J.O., Burow, C., Bouw, R., Brodersen, A.J., and Bourne, J.R. “VirtualEngineering Laboratories: Design and Experiments,” Journal of Engineering Education, July 1994, pp. 279-285.4. Feisel, L.D. and Rosa, A.J. “The Role of the Laboratory in Undergraduate Engineering

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

, Evgenia, ”Multiple-queue Backfilling Scheduling with Priorities and Reservations for Parallel Systems” Department of Computer Science, College of William and Mary Williamsburg, VA 23187-8795, USA5. Srinivasan, S., Kettimuthu, R., Subramani, V., and Sadayappan, P., “Characterization of backfilling strategies for parallel job scheduling”. IEEE International Conference on Parallel Processing Workshops, pages 514– 519, August 2002.6. Bode, Brett, Halstead, David M., Kendall, Ricky and Lei, Zhou “The Portable Batch Scheduler and the Maui Scheduler on Linux Clusters”. In Annual Technical Conference, USENIX, June 1999.7. Alagusundaram, Kavitha “A Comparison of Common Processor Scheduling Algorithms for Distributed- Memory

Conference Session

Instrumentation and Laboratory Systems

Collection

2006 Annual Conference & Exposition

Authors

Benjamin Anderson, Iowa State University; Thomas Daniels, Iowa State University

Tagged Divisions

Computers in Education

Results Number of Scripts Running Mean Time to Standard Concurrently Complete Scripts (s) Deviation 1 116.95 4.45 2 119.34 16.51 3 119.06 14.66 4 132.74 37.51 5 128.04 26.18 6 124.73 24.52 7 130.43 27.78 8 128.55 23.72 9 126.70 19.22 10 130.75

Conference Session

Computers and Learning

Collection

2013 ASEE Annual Conference & Exposition

Authors

Hoda Baytiyeh, American University of Beirut

Tagged Divisions

Computers in Education

Gratifications in the College Residence." Internet and higher Education, Vol. 6, pp. 125-44.6. Jones, S.(2002) "The Internet Goes to College: How Students Are Living in the Future with Today’s Technology." In Pew Internet & American Life Project. Washington, DC: Pew Research Center, 2002.7. Johnson, G.M. (2008). "Verbal and Visual Reasoning in Relation to Patterns of Internet Use." Internet Research, Vol. 18, pp. 382-92.8. Coombs, P. (1985). The World Crisis in Education. New York: Oxford University Press.9. Merriam, S. B., RS Caffarella, and LM Baumgartner. (2007). Learning in Adulthood. A Comprehensive Guide: Jossey-Bass Higher & Adult Education

Conference Session

Best of Computer in Education Division

Collection

2013 ASEE Annual Conference & Exposition

Authors

Smitesh Bakrania, Rowan University; Sean Banger

Tagged Divisions

Computers in Education

that the user cansimply grade the student as he/she presents.For testing purposes, evaluA+ was used to grade multiple written assignments with a class sizeof over 20 students. The app performed satisfactorily even under the current developmental Page 23.99.8stages. Even though several minor adjustments were identified, evaluA+’s overall functionalityproved highly effective for grading written assignments.Future DevelopmentsWhile the critical components of evaluA+ have been integrated, there are a number of usefulfeatures that will augment the future functionality of the app. These features leverage the touch-based interface and provide a more

Conference Session

Tablet and Portable PCs for Education

Collection

2010 Annual Conference & Exposition

Authors

Ramiro Bravo, University of Texas of the Permian Basin; Brett Batson, Trine University

Tagged Divisions

Computers in Education

Education. Physics Today,58(11), 2005.3 Hrepic, Z., Rebello, N. S., Zollman, D. A., Remedying Shortcomings of Lecture-Based Physics InstructionThrough Pen-Based, Wireless Computing And DyKnow Software,http://www.fhsu.edu/~zhrepic/Research/BookCh/2008%20Remedying%20shortcomings%20of%20lecture-based%20physics.pdf. Page 15.196.84 Cromack, J., Technology and Learning-Centered Education: Research-Based Support for how the Tablet PCEmbodies the Seven Principles of Good Practice in Undergraduate Education, 38th ASEE/IEEE Frontiers inEducation Conference, October 22–25, 2008, Saratoga Springs, NY.5 Chidanandan, A., Ferro, P., Frolik, J

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

typically have highunderlying ink density and students frequently cross-out strokes with a single straight line.Strokes are first processed by the cross-out recognizer. Strokes not positively identified as across-out are then classified using our extension of Peterson et al.’s method.3.3 Stroke GroupingWe have found that there are two types of errors that can be made in classifying strokes: actualerrors and contextual errors. Actual errors are straightforward, incorrect classifications, such aspart of a beam in a free body diagram that was mislabeled as an equation stroke. Contextualerrors are more subtle and depend on the situation in which a stroke appears. Consider the letter“F”, which appears frequently in both free body diagrams and equations

Conference Session

CoED General Technical Session I

Collection

2012 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education

, June 1997. Paper 1220-06. [3] J. H. McClellan, C. S. Burrus, A. V. Oppenheim, T. W. Parks, R. W. Schafer, and S. W. Schuessler, Computer-Based Exercises for Signal Processing Using M ATLAB 5. M ATLAB Curriculum Series, Prentice Hall, 1998. [4] G. W. P. York, C. H. G. Wright, M. G. Morrow, and T. B. Welch, “Teaching real-time sonar with the C6711 DSK and MATLAB,” ASEE Comput. Educ. J., pp. 79–87, July–September 2002. Page 25.1098.8 [5] T. B. Welch, C. H. G. Wright, and M. G. Morrow, “Experiences in offering a DSP-based communi- cation laboratory,” in Proceedings of the 11th IEEE Digital Signal Processing Workshop and the 3rd

Conference Session

CoED General Technical Session I

Collection

2012 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education

Conference and Exposition, Salt Lake City, UT, June 20-23, 2004. 3. Rawat, K. S.; Riddick, G. B.; Moore, L. J. Work in Progress – Integrating Mobile Tablet-PC Technology and Classroom Management Software in Undergraduate Electronic Engineering Technology Courses. 38th ASEE/IEEE Frontiers in Education Conference, 2008. 4. Enriquez, A. Developing an Interactive Learning Network Using Tablet PCs in Sophomore-Level Engineering Courses. Proceedings of the 114th American Society for Engineering Education (ASEE) Annual Conference and Exposition, Honolulu, HI, June 24-27, 2007. 5. Huettel, L. G.; Forbes, J.; Fanzoni, L.; Malkin, R.; Nadeau, J.; Ybarra, G. Using Tablet PCs to Enhance Engineering and Computer Science Education. In The Impact

Conference Session

Computational Tools

Collection

2011 ASEE Annual Conference & Exposition

Authors

Abhijit Nagchaudhuri, University of Maryland, Eastern Shore

Tagged Divisions

Computers in Education

. & Fig. 4. (i) Fuzzy Inference System and (ii) Output P Z NS NM Membership functions.Table 1 provides the fuzzy tuning rules for the Mamdani type direct fuzzy controller used for thespeed control of the DC servo-motor.Figures [3] and [4] give a schematic overview of the Mamdani type fuzzy controller5,6 developedusing MATLAB‟s Fuzzy Logic Toolbox(FLT) for the servo-motor speed control. The FLTprovides five graphical user interfaces (GUI) tools for building, editing, and observing fuzzyinference systems(FIS): (i)FIS editor (Fig 3),(ii) the Membership Function Editor that is used forboth the input space and output space ( Fig 4), (iii) the Rule Editor(Fig 5), (iv) the SurfaceViewer(Fig 6) and (vii) the

Conference Session

Computers in Education General Technical Session I

Collection

2011 ASEE Annual Conference & Exposition

Authors

Erik Cheever, Swarthmore College; Ames Bielenberg, Swarthmore College

Tagged Divisions

Computers in Education

start here); the “Laplace Transform background” topic has an occurrence which is a webpage describing background necessary to continue in the topic. Other topics are arranged aroundthe main topic. Page 22.1535.7If, for example, the student wants to learn about the Laplace transform table s/he can select thattopic and bring it to the center. Clicking on the encircled “4” reveals occurrences associatedwith the topic as shown in figure 6. In this case this is four links; one to a Laplace transformTable, another describing how the table is used, a third one with some examples, and a last onewith problems to be completed. Figure 6: Topic of

Conference Session

Computer Science Applications

Collection

2011 ASEE Annual Conference & Exposition

Authors

Dan Li, Northern Arizona University

Tagged Divisions

Computers in Education

professional way. We also plan to develop a detailed assessment rubric to evaluatethe effectiveness of course delivery systematically.References[1] S. Chakrabarti, M. Ester, U. Fayyad, J. Gehrke, J. Han, S. Morishita, G. Piatetsky-Shapiro, W. Wang,“Data Minig Curriculum: A Proposal (Version 1.0)”. Intensive Working Group of ACM SIGKDDCurriculum Committee, April 30, 2006. [Online] http://www.sigkdd.org/curriculum/CURMay06.pdf.[Accessed: 10-Jan-11].[2] M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I. H. Witten, “The weka data miningsoftware: An update,” SIGKDD Explorations, vol. 11, no. 1, 2009.[3] J. Han and M. Kamber, “Data Mining Concepts and Techniques”. Morgan Kaufmann, 2006.[4] R. Ihaka and R. Gentleman, "R: A language for data

Conference Session

Computer Education Innovations I

Collection

2010 Annual Conference & Exposition

Authors

Alisa Gilmore, University of Nebraska, Lincoln; Herbert Detloff, University of Nebraska, Lincoln at Omaha

Tagged Divisions

Computers in Education

-circuit programmer, and a CEENBoT™ operation manual containing schematics andexample C code. The lab assignments were completed as individual student assignments duringthe last 6 weeks of the 15 week semester course.The labs began with an introduction to controlling the CEENBoT™‘s stepper motors to achievebasic movement, and built upon this by integrating and controlling active sensors. The labobjectives required using bit-level C programming techniques and communication betweenmicrocontrollers to achieve robot control objectives using the integrated sensors. The labsculminated with an assignment that required students to apply the skills and sensors controlled inprevious labs to achieve autonomous wall following with feedback control. The four

Conference Session

Online and Web-based Education

Collection

2010 Annual Conference & Exposition

Authors

Charles Lesko, East Carolina University; John Pickard, East Carolina University

Tagged Divisions

Computers in Education

tremendous growth to a pointwhere the World Wide Web (WWW) currently supports nearly 600 million virtual world usersworldwide with nearly half of those falling into the up and coming 10-15 year old age group.3Current reports also indicate that nearly 150 virtual world environments in existence today withthat number expected to grow to 900 or more within the next three years.4 The past two decadesthe Web has witnessed a 1990’s era, often referred to as Web 1.0, that focused mostly on read-only content and static HTML-based websites with early websites that were generally notinteractive and Web technologies concentrating mostly on linking documents between the ever-increasing numbers of Web servers.Over the past ten years Web users have shifted gears

Conference Session

Computational Tools and Simulation II

Collection

2010 Annual Conference & Exposition

Authors

Jonathan Hill, University of Hartford

Tagged Divisions

Computers in Education

for the senior project and on some design for my employer. ≠ KiCad was a powerful tool but required a lot of self learning. A class would have been nice to have… ≠ It was an easy program to use, but seemed to have problems with floating and open points when doing schematics.In question A5 students are asking for more support; in particular, they would like moreappropriate tutorial material and that KiCad be introduced earlier in the curriculum. ≠ It would be nice if there was a tutoring lab for Engineering S/W. ≠ The tutorial on the board layouts and creating the footprints should be improved. ≠ …more components for KiCad and an earlier encounter with it would be helpful.A second survey provides additional

Conference Session

Computers in Education Division - General Technical Session 2

Collection

2013 ASEE Annual Conference & Exposition

Authors

Steven F Barrett, University of Wyoming; Ivo Wambeke

Tagged Divisions

Computers in Education

/graduate-level Industrial Control course. The motivationwas to provide students additional real world design experience, team-based project experienceand serve the educational community. The Industrial Controls course was developed andimproved in response to an alumni request. We reported on this course in an earlier ASEEpaper. A brief summary of the course is provided here from the earlier paper.“The Electrical and Computer Engineering Department at the University of Wyoming wascontacted by one of our alumnus in the Spring of 2008 concerning development of an industrialcontrols course. The alumni had graduated in the early 1980’s developed a highly successfulindustrial control company that provided service to the chemical, mining, oil

Conference Session

Computers in Education 6: Best of CoED

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Molly Rebecca Domino, Virginia Polytechnic Institute and State University; Margaret O'Neil Ellis; Dennis Kafura

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

. Egyptian Informatics Journal, 20(3):193 – 204, 2019. ISSN 1110-8665. doi: https://doi.org/10.1016/j.eij.2019.05.001. URL http://www.sciencedirect.com/science/article/pii/S1110866518302603. [9] Visualize code execution learn python, java, c, c , javascript, and ruby. URL http://www.pythontutor.com/.[10] Raghvinder S. Sangwan, James F. Korsh, and Paul S. Lafollette. A system for program visualization in the classroom. ACM SIGCSE Bulletin, 30(1):272–276, 1998. doi: 10.1145/274790.274311.[11] Nouf M. Al-Barakati and Arwa Y. Al-Aama. The effect of visualizing roles of variables on student performance in an introductory programming course. ACM SIGCSE Bulletin, 41(3):228, 2009. doi: 10.1145/1595496.1562949.[12] Zhang Jinghua

Conference Session

Virtual Instruction and Collaboration

Collection

2015 ASEE Annual Conference & Exposition

Authors

Thalia Anagnos, San Jose State University; Alicia L. Lyman-Holt, Oregon State University; Sean P. Brophy, Purdue University, West Lafayette

Tagged Divisions

Computers in Education

Conference Session

Tablet PC use in Education

Collection

2011 ASEE Annual Conference & Exposition

Authors

Chia-Keng Lee, University of California, Riverside; Thomas Stahovich, University of California, Riverside; Robert C. Calfee, University of California, Riverside

Tagged Divisions

Computers in Education

pen-input of equations is substantiallymore efficient than keyboard entry, and is greatly preferred by users. Page 22.82.4Classroom Presenter15 is perhaps one of the most widely used pen-based instructionaltools. This lecturing system allows students and instructors to communicate duringlectures using tablet computers. However, this system does not interpret what is written,and is not intended to provide tutoring capabilities.Newton’s Pen16 is a Statics tutoring system implemented on LeapFrog Inc.’s FLYT Mpentop computer. The FLYT M , which employs Anoto technology,13 is a ballpoint pen withan embedded computer processor and an integrated digitizer

Conference Session

Computers in Education 9 - Technology 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Efthymia Kazakou, zyBooks, A Wiley Brand; Alex Daniel Edgcomb, zyBooks, A Wiley Brand; Yamuna Rajasekhar, zyBooks, A Wiley Brand; Roman Lysecky, University of Arizona; zyBooks, A Wiley Brand; Frank Vahid, University of California, Riverside

Tagged Divisions

Computers in Education

reducing and expanding aproposition (and sometimes a combination of both as Figure 12 shows).Figure 12: Propositional logic question wherein a student applies 1 law at a time to transform aninitial proposition into a goal proposition.3.3.2 Set theoryA second style of question comes from set theory, specifically the assessment of set operationsand notation, as shown in Figure 13. A student is asked to select the region(s) of a Venn diagramfor a randomly-generated combination of set operations. Each level has specific combinations ofoperations that are assessed. The student selects the regions then clicks Check. If correct, thenthe student is told so. Otherwise, another Venn diagram with the correct answer is shown to theright of the student's Venn

Conference Session

Computers in Education 1 - Programming 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Ben Tribelhorn, University of Portland; Heather Dillon, University of Washington Tacoma; Andrew M. Nuxoll, University of Portland; Nicole C. Ralston, University of Portland

Tagged Divisions

Computers in Education

]. Available: http://dx.doi.org/10.1016/j.jbusvent.2008.10.001[11] L. Bosman and S. Fernhaber, Teaching the entrepreneurial mindset to engineers. Springer International Publishing, aug 2017.[12] A. Antonaci, F. M. Dagnino, M. Ott, F. Bellotti, R. Berta, A. De Gloria, E. Lavagnino, M. Romero, M. Usart, and I. Mayer, “A gamified collaborative course in entrepreneurship: Focus on objectives and tools,” Computers in Human Behavior, vol. 51, pp. 1276–1283, oct 2015.[13] R. S. Harichandran, N. O. Erdil, M.-I. Carnasciali, J. Nocito-Gobel, and C. Li, “Developing an Entrepreneurial Mindset in Engineering Students Using Integrated E-Learning Modules.” Advances in Engineering Education, vol. 7, no. 1, 2018.[14] S. Bowers and K. Yerion

Conference Session

Computing Technology Session 1

Collection

2017 ASEE Annual Conference & Exposition

Authors

Pedro Arturo Espinoza, University of Texas, El Paso; Mike Thomas Pitcher, University of Texas, El Paso; Oscar Antonio Perez, University of Texas, El Paso; Hugo Gomez, University of Texas, El Paso; Randy Hazael Anaya, University of Texas, El Paso; Hector Erick Lugo Nevarez, University of Texas, El Paso; Herminia Hemmitt, University of Texas, El Paso; Peter Golding P.E., University of Texas, El Paso

Tagged Divisions

Computers in Education

these in-person sessions was no more than 16 hours or two work days. This is a verysmall amount of time for a project with a huge impact for everyone on campus.Participants were given only four guiding questions to start the conversations. 1. What does the classroom of the future look like? 2. What technologies must it have? 3. What teaching strategies are technology dependent? 4. Which room(s) on campus should we upgrade first?All participants were given free range to elaborate on these questions or make other commentsand suggestions they felt were essential to the conversation.In the fall of 2016, the prototype classroom of the future had been designed based on thisfeedback and was made available for scheduling university courses

Conference Session

Computing Technology Session 1

Collection

2017 ASEE Annual Conference & Exposition

Authors

Oscar Antonio Perez, University of Texas, El Paso; Mike Thomas Pitcher, University of Texas, El Paso; Herminia Hemmitt, University of Texas, El Paso; Hugo Gomez, University of Texas, El Paso; Pedro Arturo Espinoza, University of Texas, El Paso; Randy Hazael Anaya, University of Texas, El Paso; Hector Erick Lugo Nevarez, University of Texas, El Paso

Tagged Divisions

Computers in Education

in higher education," 1998 World Conference on Educational Multimedia and Hypermedia & World Conference on Educational Telecommunications.2. Gibbons, M. T., “The Year in Numbers,” 2007 Profiles of Engineering and Engineering Technology Colleges, Washington, DC: The American Society for Engineering Education, 2008.3. Brown C., Johnson M., Lax J., “Educational Classroom Technology: What Works Best in the Engineering Context”, 2007, 37th ASEE/IEEE Frontiers in Education Conference, Session S4J.4. Grady, H., and Codone, S., " From chalkboard to PowerPoint to the web: A continuum of technology," 2004 International Professional Communication Conference, pp. 217-222.5. Colegrove, Patrick. "Making It

Conference Session

Web-Based Education

Collection

2007 Annual Conference & Exposition

Authors

Andre Encarnacao, University of California, Los Angeles; Paul Espinosa, University of California, Los Angeles; Lawrence Au, University of California, Los Angeles; Lianna Johnson, University of California, Los Angeles; Gregory Chung, University of California-Los Angeles; William Kaiser, University of California-Los Angeles

Tagged Divisions

Computers in Education

with solving problemsPerceived Engagement…the section was engaging…I got to practice solving problems…I was focused on solving problems Page 12.884.16…I solved problems instead of being shown or told the answerPerceived Learning…I learned to solve different types of problems…I learned the material thoroughly…I learned useful techniques for solving problems…I was able to see where I went wrong with my problem solving procedures…the discussion helped uncover what I didn’t knowBibliography1. C.P. Fulford and S. Zhang, “Perceptions of interaction: The critical predictor in distance education”, American Journal of Distance Education

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

, engineering undergraduate studentsfeel uncomfortable with EM and shy away from it. The omnipresence of desktopcomputers gives students the feeling that a course which is not oriented towards computeruse is an obsolete one. Observing these difficulties, more and more teachers aim to usecomputers to assist teaching of electromagnetics. This trend started in the early 80's,when development and use of educational software running on PC's began in severalareas of electric and computer engineering curricula, including electromagnetics [1-3, 6,9-11, 16]. Several papers were published in the literature on how to present and introduceelectromagnetics to students and how to use computers in that process. A reference paperabout the use of computers in teaching

Conference Session

Computing Technology Session 1

Collection

2017 ASEE Annual Conference & Exposition

Authors

Jingwen(Jess) Li, PSU; EUNSIK KIM, Pennsylvania State University; Alec M Schultis, Harold and Inge Marcus Department of Industrial and Manufacturing Engineering; Andrew Joseph Kapfer, The Pennsylvania State University ; Jimmy Lin, Pennsylvania State University, University Park; Peter A Yake; Domenic M Erjavec; Benjamin Dabat; Ling Rothrock, Pennsylvania State University, University Park

Tagged Divisions

Computers in Education

I found the various functions in this system were well integrated. I thought there was too much inconsistency in this system. I would imagine that most people would learn to use this system very quickly. I found the system very cumbersome to use. I felt very confident using the system. I needed to learn a lot of things before I could get going with the system. Please add suggestion(s) to the box below about the game design and game elements. Your feedback is Open Overall greatly appreciated

Conference Session

The Best of Computers in Education

Collection

2018 ASEE Annual Conference & Exposition

Authors

Zhen Wei; Carlotta A. Berry, Rose-Hulman Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

basic operations, programming,charging, and debugging. The robot has differential drive with 2 wheel encoders, light sensors, 8bump sensors, 3-axis gyro, and 3-axis accelerometer. There is also infrared infrared inter-robotcommunication. This sensor measures bearing and orientation of the neighboring robots and has a2-Mb/s radio for centralized command and control. There are also cameras and interfaces withGumStix Linux computing module. The robot can be programmed in C/C++ or embedded Pythonwith embedded debugging through a JTAG programmer. In advanced courses the robot is used toteach topics such as sensing, localization, mapping, motion planning, and state estimation. In the course described by Meuth et al., students constructed and

Conference Session

Online, Hybrid, and other Virtual Learning Environments

Collection

2016 ASEE Annual Conference & Exposition

Authors

Magesh Chandramouli, Purdue University, Calumet (College of Technology); Tsu-Chiang Lei P.E., Department of Urban Planning and Spatial Information, Feng Chia University; Tien-Yin Chou, GIS Research Center, Feng Chia University, Taiwan; Yi-Min Huang, GIS Reserach Center, Feng Chia University; Srinivasa Raju Kolanuvada, Anna University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

facilitate studying the aesthetic quality in geospatial applications involving urban planning and landscape aesthetics.ReferencesArnab, S., Berta, R., Earp, J., Freitas, S., Popescu, M., Romero, M., Stanescu, I. and Usart, M., Framing the Adoption of Serious Games in Formal Education Electronic Journal of e- Learning Volume 10 Issue 2, pp. 159-171, 2012Baker, T. R., and S. W. Bednarz, “Lessons learned from reviewing research in GIS education”, Journal of Geography, 102 (6):231–233, 2003.Chandramouli, M. B. Huang, and L. Xue, (2009) “Spatial Change Optimization”, Photogrammetric Engineering & Remote Sensing, 75(8), 1015-1022, 2009Donaldson, D. P., “With a little help from our friends: implementing geographic

Conference Session

Data Analysis and Assessment

Collection

2015 ASEE Annual Conference & Exposition

Authors

Elaheh Molla Allameh, Purdue University; Mihaela Vorvoreanu, Purdue University, West Lafayette; Seungwon Yang, George Mason University; Aditya Johri, George Mason University; Krishna Madhavan, Purdue University, West Lafayette

Tagged Divisions

Computers in Education

Arzberger, P. et al. Promoting access to public research data for scientific, economic, and social development. Data Science Journal 3, 135–152 (2004).2 Faniel, I. M. & Zimmerman, A. Beyond the data deluge: a research agenda for large-scale data sharing and reuse. International Journal of Digital Curation 6, 58–69 (2011).3 Herrnson, P. S. Replication, verification, secondary analysis, and data collection in political science. PS: Political Science & Politics 28, 452–455 (1995).4 UCI Machine Learning Repository UCI Machine Learning Repository. (2014).at 5 ICPSR ICPR, Resources for Instructors. (2014).at 6 Corti, L. Progress and problems of preserving and providing access to qualitative

Conference Session

Online Teaching

Collection

2015 ASEE Annual Conference & Exposition

Authors

Larry Lagerstrom, Stanford University; Petr Johanes, Stanford University; Umnouy Ponsukcharoen, Stanford University

Tagged Divisions

Computers in Education

, L., D.E. Pritchard, J. DeBoer, G.S. Stump, A.D. Ho, and D. T. Seaton. 2013. Studying learning in the Page 26.1558.16worldwide classroom: Research into edX’s first MOOC. Research & Practice in Assessment, 8(1), 13-25.2. Guo, P. J., J. Kim, and R. Rubin. 2014. How video production affects student engagement: An empirical study ofMOOC videos. Paper presented at L@S 2014, March 4–5, 2014, Atlanta, Georgia, USA.3. Kim, J., P.J. Guo, D.T. Seaton, P. Mitros, K.Z. Gajos, and R.C. Miller. 2014. Understanding in-video dropoutsand interaction peaks in online lecture videos. Paper presented at L@S 2014, March 4–5, 2014, Atlanta