Conference Session

Computers and Learning

Collection

2013 ASEE Annual Conference & Exposition

Authors

Pramod Rajan, Laboratory for Innovative Technology & Engineering Education (LITEE); P.K. Raju, Auburn University; Chetan S Sankar, Auburn University College of Engineering

Tagged Divisions

Computers in Education

at the National Aeronautical Laboratory, and the Bharat Earth Movers Ltd. Bangalore, India and the National Institutes of Technol- ogy, Trichy and Calicut. He has held Invited Professorships at the Universit´e Bordeaux I, Talence, and Universit´e Du Havre, Le Harve, France. He has been an invited/ keynote speaker at several national and international conferences. He is a fellow of the American Society for Engineering Education, a fellow of the American Society of Mechanical Engineers, a fellow of the Institution of Engineers (India), and a fellow of the Acoustical Society of India. He is the editor-in-chief of the Journal of STEM Education: Innovations and Research.Dr. Chetan S Sankar, Auburn University College of

Conference Session

Development of Computational Tools

Collection

2013 ASEE Annual Conference & Exposition

Authors

Yizhe Chang, Stevens Institute of Technology; El-Sayed S. Aziz, Stevens Institute of Technology (SES); Sven K. Esche, Stevens Institute of Technology; Constantin Chassapis, Stevens Institute of Technology (SES)

Tagged Divisions

Computers in Education

Paper ID #6500A Framework for Developing Collaborative Training Environments for As-semblingYizhe Chang, Stevens Institute of Technology Yizhe Chang is currently a Ph.D. student in Mechanical Engineering Department, Stevens Institute of Technology. He received his B.Eng. from Tianjin University, Tianjin, China. His current research topics include virtual environment for assembly simulation and collaborative system for engineering education.Dr. El-Sayed S. Aziz, Stevens Institute of Technology (SES) Dr. El-Sayed Aziz holds a faculty position as associate professor in the Production Engineering and Mechanical Design

Conference Session

Computer Hardware and Simulation

Collection

2013 ASEE Annual Conference & Exposition

Authors

Biswanath Samanta, Georgia Southern University; Jonathan Gregory Turner, Georgia Southern University

Tagged Divisions

Computers in Education

x2 State 20 Cart Position (mm) 15 Cart Position 10 5 0 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 Time (s)Figure 2: Cart position vs. time data from bump testEquation 2 was used to calculate the value of k from the collected data, where xss represents thesteady state position of the cart and Vin is the voltage applied

Conference Session

Computers in Education (CoED) Engineering Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Johne' M Parker, University of Kentucky; Stephen L. Canfield, Tennessee Technological University; Sheikh Khaled Ghafoor, Tennesse Technological University; Kassy Moy Lum

Tagged Divisions

Computers in Education

laws to obtain the system model(i.e., ordinary differential equation) for one and two degree of freedom systems (this activity isidentical to initial HW assignments in previous offerings) and manually solve the system ofequations to determine the time response using Laplace transforms and partial fraction expansion(or the equivalent), for overdamped and underdamped cases/scenarios.  Activity 2: Time Response/Experimental determination of transfer function/Model Verification(Chapter 4)  Students will investigate the transient and equilibrium responses of the systems investigatedin Activity 1 using the final value theorem and system time constant(s) or damping ratio andnatural frequency values, similar to activities conducted in prior course

Conference Session

Computers in Education (CoED) Engineering Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Bill M. Diong, Southern Polytechnic State University

Tagged Divisions

Computers in Education

-level class, with twenty-eight survey responses, highlights of the surveyinclude the following: Constrained-response: the questions asked in this category are shown in Table 1. A quarter of the students who responded indicated they did not watch any of the recorded videos at all, leading to an average of only 2.74 videos (out of the thirty available videos) watched by each student. One reason for their failure to do so could be that the instructor stopped sending out weekly reminders that the videos were available for them to watch after the third week of instruction. For those who did watch, about 55% of the students watched the lecture videos in their entirety, while the rest watched only part(s) of the videos. None

Conference Session

Computers in Education Division - General Technical Session 1

Collection

2013 ASEE Annual Conference & Exposition

Authors

Jacob P. Moore, Virginia Tech; Michel Paul Pascale; Christopher B. Williams, Virginia Tech; Chris North, Virginia Tech

Tagged Divisions

Computers in Education

Foundation. The authors would also like to acknowledge Lauren Gibboney, JosephLuke, James McIntyre, John Nein, and Joshua Rush for their work developing the Adaptive Maptool.6. References[1] T. L. Russell, The No Significant Difference Phenomenon. North Carolina State University, 1999.[2] D. F. Dansereau, “Node-Link Mapping Principles for Visualizing Knowledge and Information,” in Knowledge and Information Visualization, vol. 3426, S.-O. Tergan and T. Keller, Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005, pp. 61–81.[3] G. W. Ellis, A. Rudnitsky, and B. Silverstein, “Using concept maps to enhance understanding in Engineering Education,” International Journal of Engineering Education, vol. 20, pp. 1012–1021, 2004.[4] M. W. A

Conference Session

Robots and K-12 Computer Applications

Collection

2013 ASEE Annual Conference & Exposition

Authors

Cheryl D. Seals, Auburn University; Earl B. Smith, Georgia Southern University

Tagged Divisions

Computers in Education

the influx and progression of K-12students through graduate school in programs that lead to computing careers. This material isbased in part upon work supported by the National Science Foundation under Grant NumberCNS-0540492. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.Bibliography1. Fiegerman, S. (2010). The Dumbest States in America. Jan 21, 2010. Retrieved from http://www.mainstreet.com/slideshow/lifestyle/smartest-dumbest-states.2. Shahami, M. (2008). Overview of the New Undergraduate Computer Science Curriculum. Stanford Research Institute, http://www.stanford.edu/class/cs298

Conference Session

Development of Computational Tools

Collection

2013 ASEE Annual Conference & Exposition

Authors

Biswanath Samanta, Georgia Southern University; Yong Zhu, Department of Mechanical Engineering, Georgia Southern University, Statesboro, GA 30458

Tagged Divisions

Computers in Education

education at NC State, ASEE Southeast Section Conference.3. Peercy, P. S. and Cramer, S. M. (2011). Redefining quality in engineering education through hybrid instruction, Journal of Engineering Education, 100(4), pp. 625–629.4. National Academy of Engineering (2012). Infusing real world experiences into engineering education, The National Academies Press, Washington, DC, www.nap.edu.5. ASEE (2012). Innovation with impact: creating a culture for scholarly and systematic innovation in engineering education, http://www.asee.org/about-us/the-organization/advisory-committees/Innovation-with-Impact.6. ASEE (2012), Going the distance: best practices and strategies for retaining engineering, engineering technology and

Conference Session

Best of Computer in Education Division

Collection

2013 ASEE Annual Conference & Exposition

Authors

Mahnas Jean Mohammadi-Aragh, Virginia Tech; Christopher B. Williams, Virginia Tech

Tagged Divisions

Computers in Education

and presentedin Figure 4 indicates that students have different modes of attention. As examples, considerparticipant O-01802, who remains on-task for a majority of lecture, but occasionally “checks out”of lecture. Compare participant O-01802’s behavior with O-11801 who is mostly off-task, butoccasionally “checks in” to lecture. We also observe various on-task and off-task durationperiods. For example, participants O-02802 and O-03803 have long on-task duration periodswhereas O-05801 and O-05802 have very short on-task periods. Participant O-07802 is off-taskfor nearly the entire lecture (on-task for only 4% of lecture), while participant O-06801 is on-taskfor the entire lecture. On-task duration period, amount of task switching, and overall

Conference Session

Computers in Education Division - General Technical Session 1

Collection

2013 ASEE Annual Conference & Exposition

Authors

Danielle Marie Dowling, Tufts Center for Engineering Education and Outreach; Morgan M Hynes, Arizona State University

Tagged Divisions

Computers in Education

need air to travel.” 5. Kraig: “Okay.” 6. S: “There’s no medium.” 7. Kraig: “There’s no medium. Good.”To get the students to engage with their classmates’ responses and thus spur conversation, whenthey had posted their answers to question six—“The commander could shine a flashlight at crewmembers and definitely get their attention. What does this tell you about the difference betweenlight waves and sound waves?”—Kraig asked them to pick an answer they agreed with or wassimilar to theirs and read it aloud. Unfortunately, little palpable discussion among the studentsresulted.Kraig attempted to enact the same lesson plan with his college-prep students, his third class thatday, but it, too, was interrupted, this time

Conference Session

Computers in Education Division - General Technical Session 2

Collection

2013 ASEE Annual Conference & Exposition

Authors

Charles H. Forsberg, Hofstra University

Tagged Divisions

Computers in Education

B are constantsFor our experimental run, the cold water temperature T∞ was 57 F. The response of the cylinderwas as follows: Time t (s) Temperature T (F) T - T∞ (F) 0 92.8 35.8 5 82.8 25.8 10 80.0 23.0 15 75.2 18.2 20 70.8 13.8 25 67.0 10.0 30 65.5 8.5 The students plotted T - T∞ versus time on various types of graph axes and found that

Conference Session

Online Learning

Collection

2013 ASEE Annual Conference & Exposition

Authors

Emily A Hildebrand, Arizona State University ; Jennifer M Bekki, Arizona State University; Bianca L. Bernstein, Arizona State University; Caroline J Harrison, Arizona State University

Tagged Divisions

Computers in Education

experience (Doctoral dissertation, Drexel University).3. Minocha, S., & Sharp, H. (2004). Learner-Centered and Evaluation of Web-Based E-Learning Environments. The 7th HCI Educators Workshop: Effective Teaching and Training in HCI. Preston, United Kingdom.4. Ssemugabi, S., de Villiers, M.R. (2010). Effectiveness of heuristic evaluation in usability evaluation of e- learning applications in higher education. South African Computer Journal, 45, 26-39.5. Cook, D.A., & Dupras, D.M. (2004). A practical guide to developing effective web-based learning. JGIM, 19, 698-707.6. Hoyle, S., Bruton, K., Peres, S.C., & Gutierrez, T. (2012). Usability of an Interactive Educational Website for Statistics. Proceddings of the Human Factors and

Conference Session

Best of Computer in Education Division

Collection

2013 ASEE Annual Conference & Exposition

Authors

Hatem M Wasfy, Advanced Science and Automation Corp.; Tamer M. Wasfy, Indiana University Purdue University, Indianapolis; Riham M Mahfouz, Thomas Nelson Community College; Jeanne Peters, Advanced Science and Automation Corp.

Tagged Divisions

Computers in Education

topicabout internal combustion engine dynamics, the system can take the student to prerequisite topicsfrom courses in algebra and physics. In this case the curriculum is not delivered as successivecourses; rather topics from different courses can be seamlessly woven together during curriculumdelivery. This ensures the shortest time span between the time at which the student takes a giventopic and the time at which he/she covers its prerequisite topic(s). Figure 5. Knowledge object from an online centrifugal pump maintenance course. Thehierarchical list on the left has the headings of other knowledge objects that constitute the course.3) Setting Learning GoalsA common problem with traditional learning is that it tends to teach all students the

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

Tagged Divisions

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

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

2013 ASEE Annual Conference & Exposition

Authors

Michelle E Jarvie Eggart PE, University of Maryland, University College

Tagged Divisions

Computers in Education

Course Using a Synchronous and Hybrid E-Learning Approach.”ASEE Annual Conference 2009. AC 2009-2216.3. Ozelkan, E. and A Galambosi. “Assessing Engineering Management Students’ Perception of On-line Learning.”ASEE Annual Conference 2009. AC 2009-1142.4. Crofton, J., Rogers, J., Pugh, C., and K. Evans. “The Use of Elluminate Distance-Learning Software inEngineering Education.” ASEE Annual Conference 2007. AC 2007-350.5. Shea, P., Li, C. S., and A. Pickett. “A Study of the Teaching Presence and Student Sense of Learning Communityin Fully Online and Web-enhanced College Courses.” Internet and Higher Education. Volume 6, 2003, 109-124.6. Ozan, E., Tabrizi, M., Wuensch, K., Aziz, S., and M. Kishore. “Learning Effectiveness as a Function of

Conference Session

Computers in Education (CoED) Engineering Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Alexander Hans Nagl, Penn State Berks; Rungun Nathan, Penn State Berks

Tagged Divisions

Computers in Education

-0.4integrate it with a simulation to -0.6provide the student. All this -0.8makes the smart phone a very 0 1 2 3 4 Figure 6. Matlab processed 5 6 7 8 Time (s)data showing Accn and 9powerful tool in the classroom. velocity (obtained from Accn)Below is a list of some of the examples that are in

Conference Session

Computer Based Grading and Learning Styles

Collection

2013 ASEE Annual Conference & Exposition

Authors

Keith Alan Hekman, California Baptist University; Mark T Gordon, California Baptist University

Tagged Divisions

Computers in Education

greatlyreduced. Future improvements to the program could increase clarity of the feedback to thestudents and simplify administration of the grading.1 E. K. Hammond, (2013, Jan. 7) “Ekho's Quizzes, Tests And Exams,” [online]. Available: http://www.ekhovideos.com/EKHOSQUIZZTITLES.html,2 R. F. Hamade, M. Y. Jaber, and S. Sikström, “Analyzing CAD competence with univariate and multivariate learning curve models,” Comput. in Ind. Eng., vol. 56, pp. 1510–1518, 2009.3 R. K. Jadhav, “AutoCAD Grading Software Application GUI,” M.S. thesis, Dept. Comput. Sci., San Diego State University, San Diego, CA, 2010.4 G. B. Deo, “AutoCAD grading application: back end,” M.S. thesis, Dept. Comput. Sci. San Diego State University, San Diego, CA

Conference Session

Computers and Learning

Collection

2013 ASEE Annual Conference & Exposition

Authors

Mishael A. Clark, Indiana University Purdue University, Indianapolis; Eugenia Fernandez, Indiana University Purdue University, Indianapolis

Tagged Divisions

Computers in Education

., Drogan, O., & Davis, S. F. (2002). Student use of introductory texts: Comparative survey findings from two universities. Teaching of Psychology, 29, 312-313.2. Abdous, M., Facer, B. R., & Yen, C. J. (2012). Academic effectiveness of podcasting: A comparative study of integrated versus supplemental use of podcasting in second language classes. Computers & Education, 58, 43- 52. doi:10.1016/j.compedu.2011.08.0213. Evans, C. (2008). The effectiveness of m-learning in the form of podcast revision lectures in higher education. Computers & Education, 50, 491-498. doi:10.1016/j.compedu.2007.09.0164. Fernandez, V., Simo, P., & Salan, J. M. (2009). Podcasting: A new technological tool to facilitate good practice

Conference Session

Computers in Education Division - General Technical Session 2

Collection

2013 ASEE Annual Conference & Exposition

Authors

Raghu Echempati, Kettering University; Theodore Paul Dani; Ankita Sahu; Nathan Marshall LeBlanc

Tagged Divisions

Computers in Education

output slider link 6. As shown in Figures 5 through7, the results across all three are the same. Output Slider Velocity Versus Time 300 200 100 0 -1000.000 0.150 0.300 0.450 0.600 v6 (mm/s) -200 -300 -400 -500 -600 -700 time (sec) Figure 5. Excel Result for Output Slider Velocity versus Time Figure 6. Unigraphics NX7.5 Result for Output Slider Velocity versus Time

Conference Session

Computers in Education Division - General Technical Session 1

Collection

2013 ASEE Annual Conference & Exposition

Authors

Kellie Grasman, Missouri University of Science & Technology; Dan Cernusca, Missouri University of Science & Technology; Suzanna Long, Missouri University of Science & Technology

Tagged Divisions

Computers in Education

-enabled learning contexts, technology-mediated problem solving, applications of dynamic modeling for learning of complex topics, and the impact of epistemic beliefs on learning with technology.Dr. Suzanna Long, Missouri University of Science & Technology Dr. Suzanna Long is an Assistant Professor of Engineering Management and Systems Engineering (EMSE) at Missouri S&T and holds a Ph.D. and M.S. in engineering management, B.S. in physics and in history (University of Missouri-Rolla) and an M.A. in history (University of Missouri-St. Louis). Her research focuses on sustainable infrastructure systems, including sustainability in global supply chains and transportation systems. She is a recognized expert in

Conference Session

Computers in Education (CoED) Engineering Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Gregory Augustus Krudysz, Georgia Institute of Technology

Tagged Divisions

Computers in Education

withconcept mapping”, Science, Vol. 331, No. 6018 pp. 772-775 , Feb. 20113. D.R. Woods, “An evidence-based strategy for problem solving,” Journal of Engineering Education, Washington,vol. 89, no. 4, pp. 443–460, 2000.4. K. VanLehn, S. Siler, C. Murray, T. Yamauchi and W. B. Baggett, “Why Do Only Some Events Cause LearningDuring Human Tutoring?”, Cognition and Instruction, Vol. 21, No. 3, pp. 209-249, 20035. T. P. Novikoff, J. M. Kleinberg and S. H. Strogatz, “Education of a Model Student,” Proc. Natl. Acad. Science,23 Jan. 2012.6. F. N. Dempster, "Spacing Effects and Their Implications for Theory and Practice", Educational PsychologyReview, 1989 Vol 1, Issue 4, pg. 3097. Bloom, B. S. (1984), 'The 2 Sigma Problem: The Search for Methods of Group

Conference Session

Computers in Education (CoED) Engineering Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Neelam Soundarajan, Ohio State University

Tagged Divisions

Computers in Education

Conference Session

Development of Computational Tools

Collection

2013 ASEE Annual Conference & Exposition

Authors

Oyebisi Samuel Oyediran; Olawale Babatunde Akinwale, Dept of Electronic and Electrical Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria.; Kayode Peter Ayodele, Obafemi Awolowo University, Nigeria; Lawrence O Kehinde P.E., Obafemi Awolowo University, Ile-Ife, Osun State

Tagged Divisions

Computers in Education

iLab research and he currently designs remote and virtual experiments for remote experimentation. He is a chartered engineer, a fellow of both the Computer Association of Nigeria, and Computer Professionals of Nigeria and a member of IEEE and ASEE. He has over 75 publications in Journals and Proceedings. He also jointly has two British Patents in the past. Page 23.423.1 c American Society for Engineering Education, 2013 Development of an Operational Amplifier iLab using an Android-based Mobile Platform: Work in Progress S. O. Oyediran, K. P. Ayodele, O. B

Conference Session

Online Learning

Collection

2013 ASEE Annual Conference & Exposition

Authors

Petronella A James-Okeke, Morgan State University; Craig J. Scott, Morgan State University; Yacob Astatke, Morgan State University; Jumoke Oluwakemi Ladeji-Osias, Morgan State University; LaDawn E. Partlow M. Eng., Morgan State University; Kofi Nyarko, Morgan State University

Tagged Divisions

Computers in Education

biomedical engineering from Rutgers, The State University of New Jersey. She coordinates the departmental graduate program and teaches both undergraduate and graduate courses in computer engineering, primarily in designing digital systems for hardware. She is the PI for Scholars in Engineering (SiE), an NSF S-STEMS scholarship for undergraduate and Master’s students. She is a member of the Morgan team that is developing online laboratory courses for undergraduate students. Her research expertise is in algorithm optimization for FPGA implementation and her research group has developed a novel biologically inspired image fusion algorithm. She has over 35 journal and conference publications combined.Mrs. LaDawn E. Partlow M

Conference Session

Computers in Education (CoED) Engineering Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Priya T Goeser, Armstrong Atlantic State University; Wayne Johnson, Armstrong Atlantic State University; Shonda L Bernadin, Georgia Southern University; Delana A. Gajdosik-Nivens, Armstrong Atlantic State University

Tagged Divisions

Computers in Education

. Wickert, J. and Beuth, J., “Web-Based Computer-Aided Engineering Tutorials across the Mechanical Engineering Curriculum”, American Society for Engineering Education Annual Conference, Salt Lake City, UT, June 2004.4. Hsi, S. and Agogino, A.M., “The Impact and Instructional Benefit of Using Multimedia Case Studies to Teach Engineering Design”, Journal of Educational Multimedia and Hypermedia, 1994, 3(3/4): p. 351- 376.5. Regan, M. and Sheppard, S.D., "Interactive Multimedia Courseware and Hands-on Learning Experience: An Assessment Study", Journal of Engineering Education, 1996, 85(2): p. 123-130.6. Chen, X., Kehinde, L.O., Zhang, Y., Darayan, S., Olowokere, D.O. and Osakue, D., “Using Virtual and

Conference Session

Computers in Education (CoED) Engineering Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Fred W DePiero, California Polytechnic State University

Tagged Divisions

Computers in Education

ofthis paper for their helpful suggestions.Bibliography[1] Chickering, A., and Z. Gamson, “Seven Principles for Good Practice,” AAHE Bulletin, Vol. 39, ED282 491, March 1987.[2] DOE Report, Evaluation of Evidence-Based Practices in Online Learning: A Meta-Analysis andReview of Online Learning Studies, 2009.[3] Waldorf, D. J., and Schlemer, L. T., "The Inside-Out Classroom: A Win-Win-Win Strategy forTeaching with Technology", Computers in Education Journal, 3 (1) 2012. Page 23.1398.14[4] www.coursera.org[5] www.edx.org[6] www.udacity.org[7] Sheppard, S. D., et al., Educating Engineers: Designing for the Future of the Field, Carnegie/Jossey-Bass

Conference Session

Computer Based Grading and Learning Styles

Collection

2013 ASEE Annual Conference & Exposition

Authors

Walter W Schilling Jr., Milwaukee School of Engineering; John K. Estell, Ohio Northern University

Tagged Divisions

Computers in Education

generated during code compilation. Abrief review of the submitted reports was also provided. 12 students were enrolled in this course. Student submits assignment (code andStudent design). Su b m its As s ig nm en t Quantitatively Assesses Assignment Instructor

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