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

Computers in Education Poster Session

Collection

2010 Annual Conference & Exposition

Authors

Hamed Farahani Manesh, Eastern Mediterranean University; Dirk Schaefer, Georgia Institute of Technology

Tagged Divisions

Computers in Education

Production Economics, vol 62, pp. 87-105, 1999. 2. S. C. Park, A methodology for creating a virtual model for a flexible manufacturing system, Computers in Industry, vol. 56, pp. 734–746, 2005. 3. D. Kotak, S.Wu, M. Fleetwood, H. Tamoto, Agent-based holonic design and operations environment for distributed manufacturing. Computers in Industry, vol. 52, pp. 95-108, 2003. 4. M. Bal, M. Hashemipour, Virtual factory approach for implementation of holonic control in industrial applications: A case study in die-casting industry. Robotics and Computer-Integrated Manufacturing, Vol. 25(3), pp. 570– 580, 2009. 5. S. Cavalieri, M. Macchi , P. Valckenaers, Benchmarking the performance of manufacturing control

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

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

Tagged Divisions

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

Signal Processing Education

Collection

2009 Annual Conference & Exposition

Authors

Thad Welch, Boise State University; Cameron Wright, University of Wyoming; Michael Morrow, University of Wisconsin, Madison; Travis Kent, Boise State University

Tagged Divisions

Computers in Education

, full control of the SDR-14’s digital downconverter’s decimation and filtering processes is possible (as shown in Figure 3), in order to createthe required I and Q data. Page 14.1162.4 Figure 4: AR 5000A communications receiver.3 Commercial FMAnother common signal is the commercial frequency modulation (FM) radio station signal. An FMsignal (88–108 MHz, in the United States) would be a challenge for the SDR-14 to capture withoutadditional analog RF signal conditioning circuitry. An alternative to designing and implementingthis analog RF signal conditioning circuitry is the use of a radio receiver that has its

Conference Session

General Technical Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

John P. Mullen, New Mexico State University

Tagged Divisions

Computers in Education

with the first answer, the first answer isnot correct. In cases 2 and 4, the instructor gives feedback on why the answer to the follow-up isnot consistent. Here are some examples: Q1’s answers are correct, o but the answer to the follow-up is, “Only A or B can drive. o Instructor’s response: Why didn’t you select the third option, (A, B, C, C)? Selected (B, C, A, D), but not (A, B, D, C). o Follow-up answer was, “Because all the other answers except the answer I choose they put B in the back and B is the driver who should be in the front (sic).” o Instructor’s response was, “You explained correctly what you did, but you got part of Q1 wrong. Please read the question more carefully next time. Q1’s answer is

Conference Session

General Technical Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Jeremy Wayne Gilreath, Guilford College; Chafic Bou-Saba, Guilford College

Tagged Divisions

Computers in Education

. The Model B Raspberry Pi has twicethe SDRAM, an additional USB 2.0 port (both of which are moved to an integrated 3-port USBhub,) and a 10/100 MBit/s Ethernet USB adapter which takes up one of these ports on the hub;the tradeoff is that the Model B takes 3.5W of power as opposed to the 1.5W required by theModel A. Both Models run on a variety of Linux distributions such as Raspbian (a DebianWheezy port) and Pidora (a Fedora port), in addition to other OS such as OpenElec and RISCOS. The official distributions are optimized for the CPU's ARMv6 instruction set and are freelyavailable for download, yet many more are available for download. 5 Nearly all distributions areLinux-based, with the notable exception of Plan 9 developed by Bell Labs

Conference Session

Computers in Education Division Technical Session 7: Advanced CS courses

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Sabahattin Gokhan Ozden, Penn State Abington; Omar M. Ashour, Penn State Erie, the Behrend College; Ashkan Negahban, Pennsylvania State University, School of Graduate Professional Studies

Tagged Divisions

Computers in Education

, and experience with computer simulation and video games in general. The survey was collected before the assignment at the start of the semester. 2. Reduced Instructional Materials Motivation Scale (RIMMS): This instrument is a 12-item questionnaire to assess the level of student motivation. Motivation is measured by four factors: attention (A), relevance (R), confidence (C), and satisfaction (S). Each factor has 3 items in the questionnaire [30]. This questionnaire was collected immediately after finishing Figure 2: A logic of the simulation model of the park with food stand the assignment. The assignment was completed in eleven days. Both groups complete the RIMMS questionnaire. 3. Knowledge test

Conference Session

Online Learning

Collection

2012 ASEE Annual Conference & Exposition

Authors

Susan L. Miertschin, University of Houston (CoT); Carole E. Goodson, University of Houston; Barbara L. Stewart, University of Houston

Tagged Divisions

Computers in Education

elements or structures are valuable to students in enhancingtheir time management for the enrolled course. A limitation of the reported results is that actualimprovement in time management skill was not measured; rather, the students’ perception ofimprovement was measured. Further study with measures of actual time management skills iswarranted. Further, longitudinal study regarding the persistence of time management skillacquired could elucidate important relationships about transfer of this necessary life skill to othercontexts. Page 25.911.12References1. C.E. Goodson, Miertschin S., Stewart B. “On-line Delivery of Courses: What Components

Conference Session

Applications of Online Computing

Collection

2014 ASEE Annual Conference & Exposition

Authors

Jacques C. Richard, Texas A&M University; Logan N. Collins; Kristi J. Shryock, Texas A&M University; John D. Whitcomb, Texas A&M University; John Edward Angarita, Columbia University

Tagged Divisions

Computers in Education

Paper ID #10282Feasibility of interactive eTextbooks with computationally intense contentDr. Jacques C. Richard, Texas A&M University Dr. Richard got his Ph. D. at Rensselaer Polytechnic Institute, 1989 & a B. S. at Boston University, 1984. He was at NASA Glenn, 1989-1995, taught at Northwestern for Fall 1995, worked at Argonne National Lab, 1996-1997, Chicago State, 1997-2002. Dr. Richard is a Sr. Lecturer & Research Associate in Aerospace Engineering @ Texas A&M since 1/03. His research is focused on computational plasma modeling using spectral and lattice Boltzmann methods for studying plasma turbulence

Conference Session

Computers in Education General Technical Session 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

Yi Gu, Michigan Technological University; Nilufer Onder, Michigan Technological University; Ching-Kuang Shene, Michigan Technological University; Chaoli Wang, Michigan Technological University

Tagged Divisions

Computers in Education

sum of all values𝑐=0 // A variable to store the lost low-order bitsfor 𝑖 = 0 to num −1 do 𝑦 = 𝑎𝑟𝑟𝑎𝑦[𝑖] − 𝑐 𝑡 =𝑆+𝑦 // If S is big and y is small, low-order digits of y are lost 𝑐 = (𝑡 − 𝑆) − 𝑦 // c recovers the low-order digits of y 𝑆=𝑡end for Page 24.627.53. FPAvisual SoftwareFPAvisual was developed to provide engaging visualizations that show the inaccuracies causedby FPA, their significant influence on programs, and the techniques to increase the accuracy. Ithas Windows and Linux versions. FPAvisual consists of four components: Roots, Pentagon

Conference Session

Computers in Education Division Poster Session

Collection

2012 ASEE Annual Conference & Exposition

Authors

Cindy Stowell Ph.D., Sapling Learning

Tagged Divisions

Computers in Education

-levelengineering courses?This paper examines the need and effectiveness of online homework for upper-level engineeringcourses as well as the difficulties in creating such a product. The experiences and outcomes of ane-learning company, Sapling Learning, that developed commercial online homework for thesecond year chemical engineering course, Material and Energy Balances are presented.Because online homework in the engineering fields is a rarity, some background is required tounderstand how Sapling Learning began developing online chemical engineering homework. In2008, Sapling Learning began developing textbook-independent homework and sold the productdirectly to instructors and universities to be paired with any textbook. “Technology T.A.’s” atSapling

Conference Session

Faculty Tools

Collection

2011 ASEE Annual Conference & Exposition

Authors

Charles J Lesko Jr., East Carolina University

Tagged Divisions

Computers in Education

taken advantage of thetechnology‟s capabilities including social presence, persistence and the visual presentation of thevirtual environment. Emphasis has focused on the visual presentation or building out theseenvironments for pedagogical deployment in an effort to develop virtual classroom and meetingspaces that not only replace the actual real world academic experiences, but also maximize theinherent unique functionalities that the new VW provides. Yet once the spaces are in place therecomes the need to communicate course content; there inlays the impetus behind a growinginterest in the use of VW environments as delivery media for presenting content bothsynchronously and asynchronously.This case covered the course delivery involving three

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

Embedded Computing

Collection

2009 Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education

, ROM, and I/O. The initial experiment has the students use theHC11’s Buffalo Bug software to manipulate port outputs. The traffic light LEDs are connectedto the output ports of the microprocessors. Thus, the students directly control the lights bymodifying the contents of the memory locations associated with the output ports. This helps thestudents see the connection between software and what happens in hardware. Then the lectureexplains how programs can be written for the microprocessor and stored in on-chip RAM. Theidea of a simple flow chart is introduced to alternate green and red lights between N/S and E/W.The second experiment has the students implement the flowchart in C code, compile the code,and download it to the microprocessor. The

Conference Session

Technical Session 9:Topics related to STEM

Collection

2019 ASEE Annual Conference & Exposition

Authors

Ronald F. DeMara P.E., University of Central Florida; Tian Tian, University of Central Florida; Shadi Sheikhfaal, University of Central Florida; Wendy Howard, University of Central Florida

Tagged Divisions

Computers in Education

faculty. Theseare being addressed as on-going and future work.References[1] H. M. Vo, C. Zhu, and N. A. Diep, "The effect of blended learning on student performance at course-level in higher education: A meta-analysis," Studies in Educational Evaluation, vol. 53, pp. 17-28, June 2017.[2] C. D. Dziuban, J. L. Hartman, and P. D. Moskal, "Blended learning," Educause, Centre for Applied Research Bulletin. Vol. 2004, Issue 7, July 2004.[3] C. Dziuban, C. R. Graham, P. D. Moskal, A. Norberg, and N. Sicilia, "Blended learning: the new normal and emerging technologies," International Journal of Educational Technology in Higher Education, vol. 15, no. 3, December 2018.[4] R. F. DeMara, N. Khoshavi, S. Pyle, J. Edison, R

Conference Session

Computers in Education 9 - Technology 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

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

Tagged Divisions

Computers in Education

1 1 Pipe Diameter Flow Rate 5 2-3 2–4 Pipe Diameter C. Problem generation.With these parameters identified, the problem generation algorithms can proceed. The problemgeneration process begins by selecting the fluid, entrance type, and pipe material. The entrancelocation is considered to be the reference location for the system elevation, and the materiallimits the pipe sizes that can reasonably be considered.Next, the pipe diameter(s) are randomly selected. The diameters are generated such that

Conference Session

Computers in Education 1 - Programming 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Pat Ko, Mississippi State University; Mahnas Jean Mohammadi-Aragh, Mississippi State University; Jonathan G. Harris, Northern Gulf Institute; Jamie Lee Dyer, Mississippi State University; Yan Sun, Mississippi State University

Tagged Divisions

Computers in Education

in the meteorology community. Initially released in 2002, it isdeveloped by the Unidata Program Center (UPC)(Unidata | IDV FAQs, n.d.), which is a group ofinstitutions that develops and shares tools and data with the Earth Science research and educationcommunity. Unidata is primarily funded by the National Science Foundation and is part of the UniversityCorporation for Atmospheric Research (UCAR) (Unidata Tour, 2021). Figure 2 is a typical IDVvisualization included with the curriculum. Figure 2. An IDV visualization showing a constant pressure (a.k.a., isobaric) surface colored by windspeed along with surfaces of constant wind (a.k.a., isotach) at a value of 50 m/s. Note the orientationdirected from southeast to northwest across the Earth

Conference Session

Computers in Education Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

German Carro Fernandez P.E., Spanish University for Distance Education (UNED); Manuel Castro, Spanish University for Distance Education (UNED) ; Elio Sancristobal, Spanish University for Distance Education (UNED); Francisco Mur Perez, Spanish University for Distance Education (UNED)

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

, D.; Martínez, M. A.; Pazos, J. y Riera, T.; “A system for knowledge discovery in e-learningenvironments within the European Higher Education Area – Application to student data from Open University ofMadrid, UDIMA”, Computers & Education, vol. 72, March 2014, pp. 23-36, ISSN 0360-1315,http://dx.doi.org/10.1016/j.compedu.2013.10.009[2] Balestrino, A.; Caiti, A. y Crisostomi, E.; "From Remote Experiments to Web-Based Learning Objects: AnAdvanced Telelaboratory for Robotics and Control Systems," Industrial Electronics, IEEE Transactions on, vol.56,num.12, pp.4817-4825, December 2009 doi:10.1109/TIE.2008.2006941[3] Jara, C. A.; Candelas, F. A.; Puente, S. T. y Torres, F. , "Hands-on experiences of undergraduate students inAutomatics and

Conference Session

Computer Tools for Education

Collection

2007 Annual Conference & Exposition

Authors

Jianyu Dong, California State University-Los Angeles; Nancy Warter-Perez, California State University-Los Angeles

Tagged Divisions

Computers in Education

, 2005 0.4 Fall, 2006 0.2 0 ho m e wo rk pro je c t pre s e nt a t io n o v e ra ll Figure 6. Student performance comparison in multiple course tasks in EE442.Nevertheless, we did face some challenges when implementing the CPBL model in the pilotcourses. As with any course re-design, it usually takes several iterations to “work out the kinks.”The biggest challenge is how to balance the instruction time and the time to do in-class projects.It is important that the in-class projects should not take too much instructional time. However

Conference Session

Web-Based Education

Collection

2008 Annual Conference & Exposition

Authors

Felipe Arango, Stevens Institute of Technology; Gonca Altuger, Stevens Institute of Technology; El-Sayed Aziz, Stevens Institute of Technology; Constantin Chassapis, Stevens Institute of Technology; Sven Esche, Stevens Institute of Technology

Tagged Divisions

Computers in Education

, SecondReiff Implementation: http://www.manuelglasl.de/index.php?article_id=1/.[8] Virtual Chemistry at the Brigham Young University: http://chemlab.byu.edu/Tour.php.[9] Freitas, S. D., (2006), “Learning in immersive worlds: a review of game-based learning”, Prepared for the JISC e-Learning Program.[10] Wang, G. G., “Bringing games into the classroom in teaching quality control”, Online document at: http://www.umanitoba.ca/faculties/engineering/mech_and_ind/prof/wang/index_files/Game-8-25-03.pdf.[11] “Source” game engine: http://www.valvesoftware.com/.[12] Arango, F., Chang, C., Esche, S. K. & Chassapis, C., (2007), “A scenario for collaborative learning in virtual engineering laboratories”, Proceedings of the 37th ASEE/IEEE

Conference Session

Computational Tools and Simulation II

Collection

2009 Annual Conference & Exposition

Authors

Trent McDonald, West Inc.; David Mukai, University of Wyoming

Tagged Divisions

Computers in Education

meanthat students are better equipped to solve statistical problems later in their careers.The benefits of NPCI are being investigated and results are presented elsewhere.This paper focuses on the concepts, methods, and applications of NPCI statistics.NPCI Concepts Page 14.912.2The theory behind many NPCI methods is not new. Many of the basic conceptshave been in the statistics literature since the 1940’s. However, NPCI methodsdid not see widespread application until the early 1980’s because the necessarycomputing power was not available. With the advent of cheap and easy-to-usecomputers, computer intensive methods for realistic data sets became possible.The

Conference Session

Computing Tools for Engineering Education

Collection

2006 Annual Conference & Exposition

Authors

Hassouneh Al-Matar, Oklahoma State University; Afshin Ghajar, Oklahoma State University; Ronald Delahoussaye, Oklahoma State University

Tagged Divisions

Computers in Education

Y m,n-1 X X Figure 1. An interior node at location (m,n) and its neighbors. Applying the heat balance equation around grid point (m,n) we get the followingapproximating algebraic equation, also known as the finite difference equation: ∂T q m−1,n + q m +1,n + q m,n −1 + q m,n +1 + S∆x∆y = ρc∆x∆y (1) ∂t Where

Conference Session

Issues in Digital Signal Processing

Collection

2006 Annual Conference & Exposition

Authors

Cameron Wright, University of Wyoming; David Mares, University of Wyoming; Steven Barrett, University of Wyoming; Thad Welch, U.S. Naval Academy

Tagged Divisions

Computers in Education

-mail.AcknowledgmentsThe authors would like to thank the National Instruments (NI) Corporation for their support of thisproject. In particular, Ravi Marawar, Ph.D., Academic Program Manager at NI, was most helpfulin making this project a reality. Page 11.485.11References [1] J. G. Webster, ed., Medical Instrumentation: Application and Design. John Wiley & Sons, 3rd ed., 1998. [2] L. Cromwell, F. J. Weibell, and E. A. Pfeiffer, Biomedical Instrumentation and Measurements. Prentice Hall, 2nd ed., 1980. [3] R. S. Mackay, Bio-Medical Telemetry. IEEE Press, 2nd ed., 1993. [4] R. M. Rangayyan, Biomedical Signal Analysis: A Case-Study Approach. John Wiley

Conference Session

Computing Tools for Engineering Education

Collection

2006 Annual Conference & Exposition

Authors

Asad Azemi, Pennsylvania State University; Laura L. Pauley

Tagged Divisions

Computers in Education

late1980’s and early 1990’s. Currently most universities require only one computer-programmingcourse for their engineering students (excluding computer engineering and computer science).This course is usually taught in C++ and in some cases in Java and FORTRAN. Until the fall2004 semester at Penn State, we offered two versions of this course (C++ and FORTRAN),where the C++ version was required by the majority of the departments. The course was Page 11.1231.2designed to cover fundamental concepts of programming (using C++ or FORTRAN), includingintroduction to computers and programming; data types, declaration and displays; assignmentand interactive

Conference Session

Embedded Computing

Collection

2006 Annual Conference & Exposition

Authors

Christopher Carroll, University of Minnesota-Duluth

Tagged Divisions

Computers in Education

Figure 2. Asynchronous templateFigure 3 below shows a classic SR latch, the most fundamental memory circuit studied inintroductory digital circuit courses. Figure 4 shows exactly the same circuit, but drawndifferently to emphasize the single feedback path, which holds the one state variable in thecircuit. The circuit remembers which of the two input variables, S or R, was most recently a 1,by recording on the output variable, Q, a 1 if it was S or a 0 if it was R. By realizing that this SRlatch, the most fundamental memory circuit in any static memory device, is actually anasynchronous finite state machine, one realizes the fundamental nature of this topic. S S

Conference Session

Technical Session 8: Virtual Reality

Collection

2019 ASEE Annual Conference & Exposition

Authors

Kenneth A. Ritter III, University of Louisiana, Lafayette; Terrence L. Chambers P.E., University of Louisiana, Lafayette

Tagged Divisions

Computers in Education

Energy Center Case Studies,” Comput. Educ. J., vol. 9, no. 3, 2018.[6] S. Borsci, G. Lawson, and S. Broome, “Empirical evidence, evaluation criteria and challenges for the effectiveness of virtual and mixed reality tools for training operators of car service maintenance,” Comput. Ind., vol. 67, pp. 17–26, 2015.[7] A. Klippel et al., “Transforming Earth Science Education Through Immersive Experiences - Delivering on a Long Held Promise,” Br. J. Educ. Technol., pp. 1–14, 2018.[8] “Unity 3D.” [Online]. Available: https://unity3d.com/. [Accessed: 13-Feb-2019].[9] “Audacity.” [Online]. Available: https://www.audacityteam.org/. [Accessed: 13-Feb- 2019].[10] Dassault Systèmes SolidWorks Corporation, “Solidworks, 3D CAD

Conference Session

Technical Session 6: Modulus Topics Part 2

Collection

2019 ASEE Annual Conference & Exposition

Authors

Nicholas Hawkins, University of Louisville; James E. Lewis, University of Louisville; Brian Scott Robinson, University of Louisville; James Christopher Foreman, University of Louisville

Tagged Divisions

Computers in Education

. As an alternative and/or supplement, asynchronous labs have been developed [4] toallow for the hands-on experience while maintaining the flexibility and low-cost of doing soexternal to a traditional lab.However, instruction through longer-term projects, which span multiple lab sessions versusindividual labs, is quite advantageous because it is similar to how the engineering professionfunctions in industry [5]. Not only does it involve hands-on learning, it utilizes the advantage ofan instructor being present to assist the student(s) [6, 7].Course StructureThe course discussed in this paper is Engineering Methods, Tools, & Practice II (ENGR 111),the second component of a required first-year introductory sequence that typically enrolls

Conference Session

Mobile Devices and Apps

Collection

2015 ASEE Annual Conference & Exposition

Authors

Rachel M. White, Oregon State University; Bill Jay Brooks, Oregon State University; Milo Koretsky, Oregon State University

Tagged Divisions

Computers in Education

., “Formative Assessment in Higher Education: Moves towards Theory and the Enhancement of Pedagogic Practice”, Higher Education, 477-501, 2003. 6. Kowalski, S. E., Kowalski, F. V., Hoover, E., “Using InkSurvey: A Free Web-Based Tool for Open-Ended Questioning to Promote Active Learning and Real-Time Formative Assessment of Tablet PC-Equipped Engineering Students”, Proceedings of the 2007 ASEE Conference and Exposition, Honolulu, HI, June 2007. 7. Koretsky, M. D. and Brooks, B., “Student Attitudes in the Transition to an Active-Learning Technology”, Chemical Engineering Education, 41-49, 2012 8. Bakrania, S., “A rubric-based grading app for iPads”, Proceedings of the 2013 ASEE Conference and

Conference Session

COED: Gamification and Introducing Students to Programming

Collection

2018 ASEE Annual Conference & Exposition

Authors

Katherine Smith, Old Dominion University; Yuzhong Shen, Old Dominion University; Anthony W. Dean, Old Dominion University

Tagged Divisions

Computers in Education

diegesis.Acknowledgment. This work was supported by the Office of Naval Research STEM under ONRGRANT11899718.References[1] J. Schell, The art of game design : a book of lenses, 2nd ed. CRC Press, 2014.[2] T. Fullerton, Game Design Workshop. 2008.[3] J. Y. Douglas and A. Hargadon, “The pleasures of immersion and engagement : schemas , scripts and the fifth business,” Digit. Creat., 2001.[4] C. Murphy, “Why games work — the science of learning,” Modsim World 2011, 2011.[5] S. De Freitas and M. Oliver, “How can exploratory learning with games and simulations within the curriculum be most effectively evaluated?,” Comput. Educ., 2006.[6] N. R. Prestopnik and J. Tang, “Points, stories, worlds, and diegesis: Comparing player experiences in