Conference Session

Teaching and Advising Tools Using Computers and Smart Devices

Collection

2016 ASEE Annual Conference & Exposition

Authors

Emil H Salib, James Madison University; Ian Healey, ASIS International; Alexander Ryan Chamberlain, Cisco Systems ; Livia S Griffith

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Computers in Education

Paper ID #17164Integrated (Private) Cloud Computing Environment for Access to SpecializedCampus-bound Software Applications - Pilot StudyDr. Emil H Salib, James Madison University Professor in the Integrated Science & Technology Department at James Madison University. Current Teaching - Networking & Security and Cyber Intelligence Security. Current Research - Private Cloud Computing, Internet of Things (IoT), Mobile IPv6 and Design for Motivation CurriculumIan Healey, ASIS InternationalMr. Alexander Ryan ChamberlainMrs. Livia S Griffith c American Society for Engineering Education, 2016

Conference Session

Online, Hybrid, and other Virtual Learning Environments

Collection

2016 ASEE Annual Conference & Exposition

Authors

Zhou Zhang, Stevens Institute of Technology (School of Engineering and Science); Mingshao Zhang, Stevens Institute of Technology (School of Engineering and Science); 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)

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Computers in Education

Education, 2016 123rd ASEE Annual Conference and Exposition New Orleans, LA, USA, June 26-29, 2016 Zhang, Z., Zhang, M., Chang, Y., Esche, S. K. & Chassapis, C. A Virtual Laboratory System with Biometric Authentication and Remote Proctoring Based on Facial Recognition Zhang, Z., Zhang, M., Chang, Y., Esche, S. K. & Chassapis, C.AbstractVirtual laboratories are used in online education, corporate training and professional skilldevelopment. There are several aspects that determine the value and effectiveness of virtuallaboratories, namely (i) the cost of development which includes the cost of

Conference Session

Teaching and Advising Tools Using Computers and Smart Devices

Collection

2016 ASEE Annual Conference & Exposition

Authors

Burchan Aydin, Texas A&M University - Commerce; Muge Mukaddes Darwish, Texas Tech University; Emre Selvi, Jacksonville University

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Computers in Education

14 N 14 u S 12 m t 10 b u 8 7 e d 6 4 3 r i 2 2 e 2 0 o s 1995-1999 2000-2004 2005-2009 2010-2014 2015-Present f Timeline Figure 1: Trends for Primary Framework Development.The histogram indicates that more than 80% of primary framework development has beenperformed before 2010. There is a very limited primary framework development effort in

Conference Session

Modeling and Simulation

Collection

2016 ASEE Annual Conference & Exposition

Authors

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

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Computers in Education

“engineering intuition.”References1 Raskin, P. Decision-Making by Intuition--Part 1: Why You Should Trust Your Intuition. Chemical Engineering 95, 100 (1988).2 Gigerenzer, G. Short cuts to better decision making. (Penguin, 2007).3 Kahneman, D. Thinking, fast and slow. (Farrar, Strauss, and Giroux, 2011).4 Elms, D. G. & Brown, C. B. Intuitive decisions and heuristics–an alternative rationality. Civil Engineering and Environmental Systems 30, 274-284 (2013).5 Dreyfus, S. E. & Dreyfus, H. L. A Five-Stage Model of the Mental Activities Involved in Directed Skill Acquisition (A155480). (1980).6 Chen, J. C., Whittinghill, D. C. & Kadlowec, J. A. Classes that click: Fast, rich feedback to enhance

Conference Session

Software and Programming

Collection

2016 ASEE Annual Conference & Exposition

Authors

Suxia Cui, Prairie View A&M University; Yonghui Wang, Prairie View A&M University; Lin Li, Prairie View A&M University; Xiaobo Peng, Prairie View A&M University; Bugrahan Yalvac, Texas A&M University

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Response Mean 1 s 5 4 High Performance Computing1 and Big Data 15 8 5 1 3 1 33 2.27 Usage of HPC Integration in2 Real World Applications 13 8 6 2 2 2 33 2.45 Usage of Information to Impact K-16 Educator in3 Addressing/Supporting the 10 8 7 3 1 4 33 2.82 Computing Industry Workforce ShortageQuestion 14: What is your overall perception of the workshop

Conference Session

Effective Use of Technology in Education

Collection

2016 ASEE Annual Conference & Exposition

Authors

Frank Vahid, University of California - Riverside; Alex Daniel Edgcomb, Zybooks; Susan Lysecky, Zybooks; Roman Lysecky, University of Arizona

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 built around those features. The interactive material of course  covers   digital  design  topics  not  included  in  this  paper  for  space  reasons, such as creating sequential circuits to implement FSMs.   Having  its  roots  in  2014  rather  than   in  the   1980's  when  digital  design  dealt  with  much  smaller circuits,  the  material  also  strives  to  teach  a  modern  view  of  digital  design,  going  bottom  up  as   before, but being sure to reach register­transfer­level design as promptly as reasonable.  Boolean algebra Digital  design  is  based  on  the  mathematics  and  properties  of  Boolean  algebra

Conference Session

Software and Programming

Collection

2016 ASEE Annual Conference & Exposition

Authors

Frank Vahid, University of California - Riverside; Alex Daniel Edgcomb, Zybooks; Bailey Alan Miller, Zyante Inc.; Tony Givargis, University of California - Irvine

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Computers in Education

 Embedded  systems  have  changed  dramatically  in  recent  decades.  At  their  start in the 1970's and growth  in  the 1980's, embedded systems consisted of relatively simple microcontroller hardware, often  programmed  in  low­level  assembly  language,  to  configure  a  few  peripherals  and  interact with  a  few  input/output  pins.  Today,  improvements  in  speed,  memory  size,  and  power  have changed  the  emphasis  from   hardware  to  software,  with  microcontrollers  supporting  tens  of thousands  of  lines  of  code,  perhaps  programmed  in  C,  often  with  concurrent  tasks,  interacting with  dozens  of  peripherals  and  potentially  hundreds  of  input/output  pins  in  time­multiplexed manner,  and  dynamically  changing

Conference Session

Best of Computers in Education Division

Collection

2016 ASEE Annual Conference & Exposition

Authors

Petr Johanes, Stanford University; Larry Lagerstrom, Stanford Center for Professional Development

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Computers in Education

multimedia learning principles in production. 4. Choose the appropriate interactive activities for your video. 5. When determining an appropriate video length, somewhere in the range of 5-15 minutes is recommended. 6. Make educational video production a team effort rather than a solo activity. 7. Don’t rely just on online videos.Table 3. Re-statement of the seven research-based recommendations for producing onlineeducational videos.References1. Ambrose, S. A., Bridges, M. W., DiPietro, M., Lovett, M. C., & Norman, M. K. (2010). How learning works: seven research-based principles for smart teaching. John Wiley & Sons.2. Atkinson, R. K., Derry, S. J., Renkl, A., & Wortham, D. (2000). Learning from examples: instructional

Conference Session

Innovative Use of Technology in K-12 Outreach

Collection

2016 ASEE Annual Conference & Exposition

Authors

Steven F Barrett, University of Wyoming; Jeffrey R Anderson, University of Wyoming; Matthew Young Lionel Love, University of Wyoming

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Computers in Education

) Informingstudents of the excellent educational opportunities at the University of Wyoming have beenachieved.AcknowledgementsThis educational project was funded by the John P. Ellbogen Foundation via the College ofEngineering and Applied Science’s Engineering’s Next Generation Program. We especiallythank Mary Ellbogen Garland, President and Chair of the Foundation. References1. Summer High School Institute, www.uwyo.edu/hsi/2. S.F. Barrett, “Arduino Microcontroller – Processing for Everyone” Morgan-Claypool Publishers, 515 pages, third edition, 2013, ISBN: 978162705253.3. I. Verner, S. Waks, and E. Kolberg, “Upgrading Technology Towards the Status of a High School Matriculation Subject: A Case Study,” Journal of

Conference Session

Online, Hybrid, and other Virtual Learning Environments

Collection

2016 ASEE Annual Conference & Exposition

Authors

Kerrie A Douglas, Purdue University, West Lafayette; Brittany Paige Mihalec-Adkins, Purdue University; Nathan M. Hicks, Purdue University, West Lafayette; Heidi A. Diefes-Dux, Purdue University, West Lafayette; Peter Bermel, Purdue University; Krishna Madhavan, Purdue University, West Lafayette

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Computers in Education

in this survey were collected and are currentlybeing analyzed in accordance with the findings presented here in hopes of further developingour understanding of these learners.AcknowledgementThis work was made possible by grants from the National Science Foundation (PRIME #1544259 and EEC #1227110). Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the authors and do not necessarily reflect the views of theNational Science Foundation.Bibliography1. Zutshi, S., O'Hare, S., & Rodafinos, A. (2013). Experiences in MOOCs: The perspective of students. American Journal of Distance Education, 27(4), 218–227. doi:10.1080/08923647.2013.8380672. Liyanagunawardena, T. R., Adams, A. A., &

Conference Session

Technology-Related Educational Research

Collection

2016 ASEE Annual Conference & Exposition

Authors

Ting-Ting Wu, Graduate School of Technological and Vocational Education, National Yunlin University of Science and Technology; Yueh-Min (Ray) Huang, Cheng-Kung University; Rustam Shadiev, Department of Engineering Science, National Cheng Kung University

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according to theteaching procedure. The system interface is shown in Figure 2. The basic functions in mostlearning platforms were also included in the system, such as: schedule reminder, discussionforums (asynchronous), video conferencing (synchronous), assignment submission, feedbackevaluation and so on. Particularly, the project based learning which consists of five stageswas implemented in the learning system: Preparation (P) - Implementation (I) - Presentation(P) - Evaluation (E) - Revision (R), and SCAMPER teaching strategy which includes seventhinking-based dimensions: Substitute (S), Combine (C), Adapt (A), Modify (M), Put to otheruses (P), Eliminate (E) and Rearrange (R). At each stage, students were able to use theactivity module provided

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

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

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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

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

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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

Software and Programming

Collection

2016 ASEE Annual Conference & Exposition

Authors

Anurag Goswami, North Dakota State University; Gursimran Singh Walia, North Dakota State University

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Paper ID #16783Teaching Software Requirements Inspections to Software Engineering Stu-dents through Practical Training and ReflectionMr. 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.Dr. Gursimran Singh Walia, North Dakota State University Gursimran S. Walia is an associate professor of Computer Science at North Dakota State University. His main research interests include empirical software

Conference Session

Innovative Teaching

Collection

2016 ASEE Annual Conference & Exposition

Authors

Lawrence O Kehinde P.E., Obafemi Awolowo University, Ile-Ife, Osun State, Nigeria; Obasegun Tekena Ayodele, IEEE Educational Activities; Olubiyi Olaoluwa Akintade, Department of Electronic & Electrical Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria.; KAZEEM Olaide Olawale, Obafemi Awolowo University, Ile-Ife, Nigeria

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Switching over Internet 3. Monitoring Temperature and Humidity over Internet 4. D/C Motor Control over Internet Figure 5: List of Experiments for the Basic IoT Training Module Figure 6: Mobile App Table 3: Function of each component ID S/No Component ID Component Functions 1. Relay C Relay Control for turning on/off the A/C or LED bulb. 2. Motion C

Conference Session

Effective Use of Technology in Education

Collection

2016 ASEE Annual Conference & Exposition

Authors

Myrtede Christie Alfred, Clemson University; Morris Branchell Lee III; David M. Neyens, Clemson University; Anand K. Gramopadhye, Clemson University

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Computers in Education

moving from the simulations and virtual environments to the real-worldenvironment. Future work should examine the affect of students learning a skill in a computerenvironment and how their emotions evolve as they attempt to transfer skills learned in computerenvironments to real world applications. Future research should also examine whether thefindings from this study are consistent across different tasks and different 2D and 3Dimplementations.AcknowledgementsThis work was supported by the National Science Foundation under Grant No. DUE-1104181. Anyopinions, findings, and conclusions or recommendations expressed in this material are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation. This work was

Conference Session

Technology-Related Educational Research

Collection

2016 ASEE Annual Conference & Exposition

Authors

Swaroop Joshi, Ohio State University; Neelam Soundarajan, Ohio State University

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Computers in Education

original ideas, including those on cognitive conflict triggering learning in children werefurther elaborated and expanded by various learning scientists and applied to K–12 as well as col-lege education. For instance, Doise and Mugny 4 conducted various studies about how cognitiveconflict impacts learning. Their work showed that the other learner(s) who held the conflictingviews did not need to be physically present, as long as the learners in question saw the conflictingviews as being those of peers. While triggering cognitive conflict is possible even without en-gaging with peers (e.g., via refutation text 5 instead), combining it with peer-interaction has majoradvantages. First, interaction with peers encourages the student to verbalize the

Conference Session

Computer-Based Games and Animations in Education

Collection

2016 ASEE Annual Conference & Exposition

Authors

Shih-Liang Wang P.E., North Carolina A&T State University

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Computers in Education

students’ comprehension. All 3D models shown in this paper aremade with CAD Software SOLIDWORKS6 and the rest of sketches are made with MicrosoftWord’s built-in drawing tools.References1 R. Budynas and J. K. Nisbett, “Shigley's Mechanical Engineering Design”, 10th ed., McGraw-Hill, 2014.2 R. L. Mott, "Machine Elements in Mechanical Design", Prentice Hall; 5th ed., 2013.3 R. L. Norton, Machine Design: An Integrated Approach, 5 th ed, Prentice Hall, 2013.4 How to animate GIFs with Microsoft GIF Animator, http://gwanderson.server101.com/Computer101/gifAnimate.htm5 Wang, S-L., “Free Body Diagrams of Gear Trains,” in CD Proceedings of 2008 ASEE Zone 1 Conference, West Point, NY, March 28-29, 2008.6 SolidWorks, http

Conference Session

Online, Hybrid, and other Virtual Learning Environments

Collection

2016 ASEE Annual Conference & Exposition

Authors

Ernest M. Kim P.E., University of San Diego; Thomas F. Schubert Jr. P.E., University of San Diego; Cyd Burrows, University of San Diego; Shahra Meshkaty, University of San Diego

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Computers in Education

Should Know About Flipped Classrooms, " EDUCAUSE Learning Initiative, 2012. Web. 20 May 2013. [4] Bachnak, R., and Maldonado, S. A., “A Flipped Classroom Experience: Approach and Lessons Learned”, Proceedings of the 121st ASEE Annual Conference & Exposition, Indianapolis, June 2015.[5] Mason, G., Shuman, T. R., and Cook, K. E., “Inverting (Flipping) Classrooms – Advantages and Challenges”, Proceedings of the 120th ASEE Annual Conference & Exposition, Atlanta, June 2013.[6] Margulieux, L. E., Bujak, K. R., McCraken, W., M., and Majerich, D., “Hybrid, Blended, Flipped, and Inverted: Defining Terms in a Two Dimensional Taxonomy”, 12th Annual Hawaiian International Conference on Education, January 2014[7

Conference Session

Innovative Teaching

Collection

2016 ASEE Annual Conference & Exposition

Authors

Deng Cao, Central State University; Zhiqiang Wu, Wright State University; Bin Wang, Wright State University; Chi-Hao Cheng, Miami University

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Computers in Education

Altera Cyclone FPGA, 64 MS/s dual ADC, 128 MS/s dualDAC, and USB 2.0 connectivity. The USRP1 platform can support two complete RFdaughter boards and can operate from DC to 6 GHz. The daughter board we used on eachmotherboard is RFX400, which has 2 quadrature frontends for transmitting and receiving,and the bandwidth is 40MHz for both frontends (see Figure 1). Figure 1: A USRP1 Motherboard with RFX400 Daughter Board2.2. Software SetupIn order to improve undergraduate students' understanding and learning, the followingstep-by-step laboratory modules were developed:I) Ubuntu/Windows duel operating system installation. Many SDR development tools,including GNU Radio, only officially support Linux operating system. However

Conference Session

Computers in Education Division Poster Session

Collection

2016 ASEE Annual Conference & Exposition

Authors

Todd D. Morton, Western Washington University; Ying Lin, Western Washington University

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. It has 256kB of on-chip SRAM, which has been adequate for the largearray blocks required for sample buffering and DSP processing. It also includes DMA, I2S, andI2C, which are all used in this work. This microcontroller allows for both fixed-point and floatingpoint DSP.The board itself does not include audio resources and the K65’s DAC is only 12-bits. Becauseaudio is the primary application used in the DSP labs, another board (i.e., a CODEC board) isrequired to provide these features.In-House designed CODEC boardThe CODEC board is based on Texas Instrument’s TLV320AIC3007 Stereo Audio CODEC.This CODEC has many configuration options and requires a low chip count for basic audioinputs and outputs as can be seen in Figure 1. The block diagram

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

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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

Innovative Teaching

Collection

2016 ASEE Annual Conference & Exposition

Authors

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

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Computers in Education

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 Real: 3D Printing as a Library Service." Why IT Matters to Higher Education: EDUCASE Review. EDUCASE, 27 Oct. 2014. Web. 18 Mar. 2016. .6.   Johnson, L., Adams Becker, S., Cummins, M., Estrada, V., Freeman, A., and Ludgate, H. (2013). NMC Horizon Report: 2013 Higher

Conference Session

Computers in Education Division Poster Session

Collection

2016 ASEE Annual Conference & Exposition

Authors

Daniel Brian Limbrick, North Carolina A&T State University

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Computers in Education

will be available to present at the conference. Additionally, the principal of the high school that is involved with this program has agreedto provide SAT/ACT scores and future graduation data (e.g., college major) of the participants aswell as of non-participant classes. This information will be used to measure the effectiveness ofthe program as well as the improvement year-to-year and the improvement cohort-to-cohort.References1 H. E. Dudeney and M. H. Dudeney, Puzzles and curious problems. T. Nelson and sons, ltd., 1932.2 A. B. Adcock, E. D. Demaine, M. L. Demaine, M. P. O’Brien, Reidl, F. S. Villaamil, and B. D. Sullivan, “Zig-Zag Numberlink is NP-Complete,” Journal of Information Processing, vol. 23, no. 3, pp. 239–245

Conference Session

Computers in Education Division Poster Session

Collection

2016 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

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Computers in Education

. 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 was essential to the conversation. Rather than concentrating on newcutting-edge technologies and modernistic concepts, participants overwhelming felt fixingsimple issues in currently existing classrooms would make a huge difference in their teachingand learning and was a crucial first step in the classroom of the future design moving forward.ResultsThere were a total of 51 participants, including instructors and students, that provided feedbackeither in person or via one of the online methods. All comments and suggestions were sorted andgrouped to a matching category, which

Conference Session

Best of Computers in Education Division

Collection

2016 ASEE Annual Conference & Exposition

Authors

Paul Morrow Nissenson, California State Polytechnic University - Pomona; Todd Dale Coburn P.E., California State Polytechnic University - Pomona

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Computers in Education

Administrative Support Coordinator) for recruiting high schoolstudents; the 15 student assistant volunteers for making the discussion boards manageable; JeffZampell for organizing the student assistants and helping create supplemental materials.8. References[1] Cormier, D. (2008). The CCK08 MOOC – Connectivism course, 1/4 way. Dave’s Educational Blog, October 2,2008. Retrieved fromhttp://davecormier.com/edblog/2008/10/02/the-cck08-mooc-connectivism-course-14-way/[2] Parr, C. (2013). MOOC creators criticise courses’ lack of creativity. Times Higher Education, October 17, 2013.Retrieved fromhttps://www.timeshighereducation.com/news/mooc-creators-criticise-courses-lack-of-creativity/2008180.article[3] Leckart, S. (2012). The Stanford Education Experiment

Conference Session

Effective Use of Technology in Education

Collection

2016 ASEE Annual Conference & Exposition

Authors

Judith Virginia Gutierrez, National Autonomous University of Mexico (UNAM); Frida Diaz Barriga, National Autonomous University of Mexico (UNAM); Nelly Ramirez-Corona, Universidad de las Americas Puebla; Aurelio Lopez-Malo, Universidad de las Americas Puebla; Enrique Palou, Universidad de las Americas Puebla

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Computers in Education

Conference Session

Teaching and Advising Tools Using Computers and Smart Devices

Collection

2016 ASEE Annual Conference & Exposition

Authors

Taekyoung Kwon, Seoul National University; Myungchul Kwak, Seoul National University; Junghwan Song, Seoul National University; Selin Chun, Seoul National University; Seokho Chi, Seoul National University

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5 5 0 2 8 12 14 18 22 24 28 0 -5 -5 0 2 4 6 8 10 12 14 18 22 24 -10 -15 -10 -20 -15 Time (s) Time (s) Figure 7. The difference

Conference Session

Technology-Related Educational Research

Collection

2016 ASEE Annual Conference & Exposition

Authors

Joshua Sai Yuen, University of California - Riverside; Alex Daniel Edgcomb, University of California - Riverside; Frank Vahid, University of California - Riverside

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Computers in Education

.    We  examined the large decline learning questions carefully and noticed that these questions were all  bad  questions.  For  example,  the   first  question   in  Figure  5  was  presented  as  one  of  the  large declines  in  earnestness.  We  identified  the  question  that  students  did  not  know  how  to  answer. Students  first  showed  the  answer  and  were  then  able  to  effectively  answer  the  subsequent question(s) without showing the answer. Questions where all three college classifications showed large declines were easily identified as bad questions.  Fig. 5. Example: Learning question 1 had a low earnestness, whereas question 2 had a high earnestness. Likely, students were unsure how to answer the question, indicating