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 Division Poster Session

Collection

2012 ASEE Annual Conference & Exposition

Authors

Nader Rafla, Boise State University

Tagged Divisions

Computers in Education

develop and implement meaningful DSP systems. This course represents a goodexample for integrating the knowledge gained in two major areas of electrical engineering,digital signal processing and digital hardware design.References [1] S L Wood and S C Kemnitzer, “First Year DSP Education in the Context of ECE Curriculum Reform,” in Proc. IEEE 13th DSP and 5th SPE Workshop, Marco Island, FL, 4-7 Jan 2009, pp. 425 - 429. [2] “MATLAB/SIMULINK” version 7. (R2008b). Natick, Massachusetts, The MathWorks Inc., 2008. [3] “ISE Design Suite and System Generator,” Version 11.1, Xilinx Inc., 2009. [4] “QuestaSim Reference Manual,” Version 6.3C, Mentor Graphics Corporation, 2009. [5] Keshab K. Parhi, “VLSI Digital Signal Processing Systems

Conference Session

Computers in Education Division Poster Session

Collection

2012 ASEE Annual Conference & Exposition

Authors

Yogendra M. Panta, Youngstown State University; Hyun W. Kim, Youngstown State University; Param C Adhikari, Youngstown State University; Sanket Aryal, Youngstown State University

Tagged Divisions

Computers in Education

, (V)Action/Solution:Above equations (V) and (II) are used to calculate the outlet velocity and the volumetric flowrate. Following Table 2 shows the results and the comparative study of analytical vs. CFDsimulations for velocity and flow rate.Table 2 Comparative Results: Analytical vs. CFD for fluid flow in nozzle 2D Comparative results Simulation simulation Nozzle Dia. Volumetric Flow Outlet Velocity (m/s) % Error Model D = 75 mm (m3/s) d = 25 mm Pressure

Conference Session

Hardware Applications

Collection

2011 ASEE Annual Conference & Exposition

Authors

Ronald J. Hayne, The Citadel

Tagged Divisions

Computers in Education

’ Figure 5. Instruction Fetch Sequence. Step RTN Control Signals T3 R(D) ← R(S) REGS_Read1 <= ‘1’ ALU_OP <= Pass_A Load_STATUS <= ‘1’ REGS_Write <= ‘1’ Clear <= ‘1’ Figure 6. Instruction Execute for MOVE Rs,Rd.VHDL ModelThe VHDL model for the instructional processor is developed in phases, with new capabilitiesadded in each phase. Phase 1 includes the components of the data path, which have beendeveloped throughout the

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

Computers in Education 2 - Programming 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Nabeel Alzahrani, University of California, Riverside; Frank Vahid, University of California, Riverside

Tagged Divisions

Computers in Education

errors.Generic errors Specific errors• Conceptual errors • Action definition • Incorrect transfer of • Mixed up of constructs[Hall12 (58%)] wrong [Winikoff14] knowledge [Pillay06] (if and while)• Misunderstanding / • Action(s) of rule • Inefficient problem [Grandell05]misinterpretation wrong (but legal) solving approach • Natural-language[Spohrer86, Robins10] [Winikoff14] [Pillay06] problem [Robins10]• Problem solving • Additional (wrong) • Interpretation problem • Not supported[Bryce10, Pillay06] rule [Winikoff14] [Robins10] [Spohrer86] • Cognitive load • Lack of • Not

Conference Session

Embedded Computing

Collection

2007 Annual Conference & Exposition

Authors

Sang-Hoon Lee, Polytechnic University; Anshuman Panda, Polytechnic University; Vikram Kapila, Polytechnic University; Hong Wong, Polytechnic University

Tagged Divisions

Computers in Education

Figure 3: Template and model properties3.2. PIC Library The PIC Library is a custom library of Simulink blocks (in the form of s-functions) thatinterface with sensors and actuators connected to the PIC microcontroller. The following blocksare currently included in the PIC library: ADC, PinStateIn, PWM, and PinStateOut. Moreover,the library includes a block labeled IOBlock that is required in all user-designed Simulinkdiagrams to enable serial communication between the PIC microcontroller and Matlab.Hardware settings and parameter requirements of each block are detailed below. ADC Block (see Figure 4) configures the analog to digital conversion module of the PICmicrocontroller. Note that five of the six I/O pins of port A and three I/O pins of

Conference Session

Instrumentation and Laboratory Systems

Collection

2008 Annual Conference & Exposition

Authors

Jonathan Hill, University of Hartford; Akram Abu-aisheh, University of Hartford

Tagged Divisions

Computers in Education

transition. The discrete time signal generator (DCO) produces a saw-toothwaveform. Once phase-lock is established the PreLock signal is forced low, instructing the Page 13.462.11register (Reg.) by means of the control logic (Cntl) to load only near the center of each symbol.Each symbol is sampled N s times, to produce one estimate of the phase error between the localclock and that corresponding to the received data. With a 50MHz system clock, to produce a1Mbps symbol rate the signaling speed is actually 2Mbs. It is convenient to sample the input at50MHz so that each symbol is sampled 50 times. FlipFlop

Conference Session

Embedded Computing

Collection

2009 Annual Conference & Exposition

Authors

Michael Swanbom, Louisiana Tech University; Davis Harbour, Louisiana Tech University; Hisham Hegab, Louisiana Tech University; Danny Eddy, Louisiana Tech University

Tagged Divisions

Computers in Education

-fit equation using least-squares regression analysis as shown in Figure 8.As with the calibration equation for the conductivity sensor, this equation is first used to Page 14.56.7establish convenient set-point time values for various temperature values, then the equation isinverted to provide temperature values based on sampled time values. In addition, as with theconductivity sensor equation, this inverted calibration equation must be adjusted to work with theinteger values provided by the Basic Stamp controller. RCTIME value versus Temperature RCTIME value (2  s

Conference Session

Computational Tools and Simulation II

Collection

2009 Annual Conference & Exposition

Authors

Brianno Coller, Northern Illinois University

Tagged Divisions

Computers in Education

quickly,compared to one with slow convergence. The problem only needs to be solved once so there islittle benefit to choosing a technique whose iterative process starts easily. In fact, there is no needto use any of the numerical methods covered by the textbook. Students may use a plottingpackage to solve it graphically. They may perform a manual search by punching numbers into apocket calculator. They may find a canned routine that generates the root(s) without requiringany thought at all.In the gear shifting problem, choice of root finding technique is critically important. Forexample, any technique that requires a derivative is doomed to fail: differentiation of discretelysampled data is inherently noisy. Furthermore, students need a technique

Conference Session

First Year Computing Topics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Krishnendu Ghosh, Miami University; Michele D Dickey, Miami University; Laurena Werner, Miami University

Tagged Divisions

Computers in Education

to foster higher student retention rates inintroductory computer programming courses.References: DiSalvo, B., & Bruckman, A. (2011). From interests to values. Communications of the ACM,54(8), 27-29.Newhall, T., Meeden, L., Danner, A., Soni, A., Ruiz, F., & Wicentowski, R. (2014, March). Asupport program for introductory CS courses that improves student performance and retainsstudents from underrepresented groups. In Proceedings of the 45th ACM technical symposium onComputer science education (pp. 433-438). ACM. Goldweber, M., Barr, J., Clear, T., Davoli, R., Mann, S., Patitsas, E., & Portnoff, S. (2013). Aframework for enhancing the social good in computing education: a values approach. ACMInroads, 4(1), 58-7Guzdial, M. (2009

Conference Session

Technical Session 10: Simulation and Modeling

Collection

2019 ASEE Annual Conference & Exposition

Authors

Stephen W. Crown, University of Texas, Rio Grande Valley; Constantine Tarawneh, University of Texas Rio Grande Valley

Tagged Divisions

Computers in Education

(ICAMME'2012), Penang, Malaysia, May 19-20, 2012.[3] A. Pourmovahed, C. Jeruzal, and S. Nekooei, “Teaching applied thermodynamics with EES,” ASME International Mechanical Engineering Congress and Exposition, Advanced Energy Systems Division, pp. 105-120, 2002. doi:10.1115/IMECE2002-33161.[4] D. R. Sawyers, Jr. and J. E. Marquart, “Using simulation software in thermal science courses,” Proceedings of the Spring 2007 American Society for Engineering Education North Central Section Conference at West Virginia Institute of Technology (WVUTech), March 30- 31, 2007.[5] S. Pennell, P. Avitabile, and J. White, “Teaching differential equations with an engineering focus,” 2006 Annual Conference & Exposition, Chicago, Illinois, June

Conference Session

COED: Issues Impacting Students Learning How to Program

Collection

2018 ASEE Annual Conference & Exposition

Authors

Nabeel Alzahrani, University of California, Riverside; Frank Vahid, University of California, Riverside; Alex Daniel Edgcomb, zyBooks; Roman Lysecky, University of Arizona; Susan Lysecky, zyBooks

Tagged Divisions

Computers in Education

submission’s time. Note that this time may be anunderestimate, as the time doesn’t include the time the student spent reading the instructions anddeveloping the first submission. If two successive submissions are separated by at least 10minutes, we assume the student was perhaps taking a break (this is not a perfect measure but thebest we can do as we cannot directly observe the student), and thus we exclude that time fromthe total time. For every student (two are shown in Figure 2), such total time is computed. Wethen compute the average of the shortest 20% of such times to yield the baseline time. The sameapproach is done for the number of attempts per student. Figure 2: Definition of struggle rate for a particular CA.Figure 2’s

Conference Session

COED: Online and Blended Learning Part 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Michelle E. Jarvie-Eggart, Michigan Technological University; Amber Kemppainen, Michigan Technological University; Thomas M. Freeman M.Ed., Michigan Technological University

Tagged Divisions

Computers in Education

Analysis of Online Master’s Programs inEngineering." ​Proceedings of the 2011 Midwest Section Conference of the American Society forEngineering Education​. 2011.13. Pontes, Manuel CF, and Nancy MH Pontes. "Undergraduate students’ preference for distanceeducation by field of study." ​Online Journal of Distance Learning Administration​ 16.2 (2013):n2.14. Badjou, S. and R. Dahmani. “Current Status of Online Science and Engineering Education.”Journal of Online Engineering Education.​ Vol. 4, No.1, Article 3, 2013.15. Kowalski, Theodore J., Dolph, David Alan, and Young, Ila Phillip, ​"Student Motives forTaking Online Courses in Educational Administration"​ (2014). Educational Research Quarterly,Vol. 38, No. 1. pp. 27 - 42. September, 2014. Retrieved

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

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

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

Data Analysis and Assessment

Collection

2015 ASEE Annual Conference & Exposition

Authors

David B. Knight, Virginia Tech, Department of Engineering Education; Cory Brozina, Virginia Tech; Eric M. Stauffer, Virginia Tech; Chris Frisina, Virginia Tech; Troy D. Abel, Virginia Tech

Tagged Divisions

Computers in Education

Proceedings of the 1st International Conference on Learning Analytics and Knowledge (pp. 9–17). ACM. doi:10.1145/2090116.20901185 Few, S. (2006). Information dashboard design: the effective visual communication of data (1st ed.). Beijing ; Cambride [MA]: O’Reilly.6 Malik, S. (2005). Enterprise dashboards: design and best practices for IT. Hoboken, N.J: John Wiley.7 Siemens, G. (2014). Supporting and promoting learning analytics research. Journal of Learning Analytics, 1(1), 3– 5.8 Siemens, G. (2012). Learning analytics: envisioning a research discipline and a domain of practice. Proceedings of the 2nd International Conference on Learning Analytics and Knowledge. Vancouver, British Columbia, Canada, ACM: 4

Conference Session

General Technical Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Michael Geoffrey Brown, University of Michigan

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

.  Prosser.  Engineering  students'  conceptions  of  and  approaches  to  learning  through  discussions  in  face-­‐to-­‐face  and  online  contexts.  Learning  and   63   19.9%  Instruction,  18(3),  267-­‐282.  2008.    R.A.  Ellis,  P.,  Goodyear,  M.  Prosser,  A.  &  O'Hara.  How  and  what  university  students  learn  through  online  and  face-­‐to-­‐face  discussion:  Conceptions,  intentions  and  approaches.  Journal   51   16.1%  of  Computer  Assisted  Learning,  22(4),  244-­‐256.  2006.    S.  Ozkan  &  R.  Koseler.  Multi-­‐dimensional  students’  evaluation  of  e-­‐learning  systems  in  the  higher  education  context:  An  empirical

Conference Session

CoED: Computer Science Topics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Lulu Sun, Embry-Riddle Aeronautical Univ., Daytona Beach; Christina Frederick, Embry-Riddle Aeronautical Univ., Daytona Beach; Li Ding, Embry-Riddle Aeronautical University; Rebecca Rohmeyer, Embry-Riddle Aeronautical University

Tagged Divisions

Computers in Education

, from http://www.usatoday.com/story/tech/2015/01/29/ky-computer-code-as-foreign-language/22529629/10. Victor, B. (2012). Learnable Programming. Retrieved March, 7, 2014, from http://worrydream.com/LearnableProgramming11. Ellis, R. (1994). The Study of Second Language Acquisition. Oxford: Oxford University Press.12. Krashen, S.D. (1981). Second Language Acquisition and Second Language Learning. Oxford: Pergamon Press.13. Krashen, S. D. (1982). Principles and practice in second language acquisition. Oxford: Pergamon Press.14. Krashen, S. D. & Terrell, T. (1983). The Natural Approach: Language Acquisition in the Classroom. London: Prentice Hall Europe.15. Williams, J. (1999). Memory, Attention and Inductive Learning

Conference Session

COED: EE Topics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Joshua Alexéi García Sheridan, Virginia Tech; Richard M. Goff, Virginia Tech Department of Engineering Education; Carl B Dietrich P.E., Virginia Tech; Vuk Marojevic, Virginia Polytechnic Institute and State University; Nicholas F Polys, Virginia Polytechnic Institute and State University; R. Michael Buehrer, Virginia Tech

Tagged Divisions

Computers in Education

, R. M. (2002). Handbook of self-determination research. Rochester, NY: University of Rochester Press.Dörner, R., Göbel, S., Effelsberg, W., & Wiemeyer, J. (Eds.). (2016). Serious games: Foundations, concepts and practice. Cham: Springer International Publishing. doi:10.1007/978-3-319-40612-1Evans, J. S. B. (2009). How many dual-process theories do we need? One, two, or many?.Evans, J. S. B. (2003). In two minds: dual-process accounts of reasoning. Trends in cognitive sciences, 7(10), 454-459.Gee, J. P. (2003). What video games have to teach us about learning and literacy. New York: Palgrave Macmillan.Hamari, J. ; Koivisto, J. ; Sarsa, H. (2014). Does Gamification Work? -- A Literature Review of

Conference Session

Technical Session 4: Modulus Topics 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Ashwin Satyanarayana, New York City College of Technology; Karen Goodlad, New York City College of Technology, CUNY; Jennifer Sears, New York City College of Technology, CUNY; Philip Kreniske, Columbia University, The HIV Center; Mery F. Diaz, New York City College of Technology; Sandra Cheng, New York City College of Technology

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

. Department of Education. Washington, DC. [3] Suárez-Orozco, C., Suárez-Orozco, M., Todorova, I., (2009). "Learning a New Land." Belknap Press of Harvard University Press. [4] Torche, F. (2011). "Is a college degree still the great equalizer? Intergenerational mobility across levels of schooling in the United States." American Journal of Sociology 117(3). P. 763-807. [5] Wine J, Janson N, Wheeless S., (2011). "2004/09 Beginning Postsecondary Students Longitudinal Study (BPS:04/09) Full-scale Methodology Report on grad rates (NCES 2012-246) " National Center for Education Statistics, Institute of Education Sciences. U.S. Department of Education; Washington, DC: 2011. Retrieved from http://nces.ed.gov

Conference Session

Technical Session 13: Digital Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Chirantan Mahipal, University of Illinois, Urbana-Champaign; Lawrence Angrave, University of Illinois at Urbana-Champaign; Yuren Xie, University of Illinois at Urbana-Champaign; Biswadeep Chatterjee, University of Illinois, Urbana-Champaign ; Hongyu Wang, University of Illinois, Urbana-Champaign; Zhengru Qian, University of Illinois, Urbana-Champaign

Tagged Divisions

Computers in Education

Universal DesignLearning principles. Our findings, and the systems we deployed, are examples of how newtechnologies can reshape engineering education for all, enable digital accessibility and provide aplatform for evidence-based research of engineering education.AcknowledgementsDevelopment of ClassTranscribe is supported in part by a Microsoft research gift to theUniversity of Illinois. We wish to acknowledge UIUC IT staff, the College of Engineeringcurrent and former undergraduate and graduate students, and Prof. Hasegawa-Johnson, who havecontributed to the development, support and direction of the ClassTranscribe project.References[1] R. S. Moog and J. N. Spencer, “POGIL: An overview,” ​Process Oriented Guided Inquiry Learning (POGIL),​ vol

Conference Session

Computed Simulation and Animation

Collection

2007 Annual Conference & Exposition

Authors

Raymond Jacquot, University of Wyoming; Cameron Wright, University of Wyoming; Robert Kubichek, University of Wyoming; Thomas Edgar, University of Wyoming

Tagged Divisions

Computers in Education

 µ 2 u( x , y ) = Uf ' ( η ), v(x, y) = U   [ηf ' ( η ) − f ( η )] (14)  4 ρUx where η is defined in relation (10). Velocity profiles for various locations x are illustrated inFigure 6 showing the development of the boundary layer from the uniform flow for variablesρU/µ = 1x105m-1 and U = 0.1m/s. The boundary layer thickness δ is the locus of points wherethe horizontal velocity is 99% of the freestream velocity U and is µx δ =5 (15) Page 12.58.7

Conference Session

Computational Tools and Simulation II

Collection

2010 Annual Conference & Exposition

Authors

Nicholas Roberts, Vanderbilt University; Greg Walker, Vanderbilt University

Tagged Divisions

Computers in Education

) shell and tube, one-shell pass and two tube passes, d) Cross flow, single pass, both fluids unmixed. Fluid 1 as a specific heat of 3500 J/kg-K and a flow rate of 2 kg/s initially at 80 C and needs to be cooled to 50 C. Fluid 2 is water with a flow rate of 2.5 kg/s initially at 15 C. Assume an overall heat transfer coefficient of 2000 W/m2 K. Use thermalHUB.org to solve this problem. 2. Find the oil flow rate and length of the tubes required to achieve an outlet temperature of 100 C with an initial temperature of 160 C. The heat exchanger is this case is a shell-and-tube with 10 tubes, each 25 mm in diameter, making 8 passes and the other fluid is water initially at 15 C and ending at 85 C flowing at 2.5 kg/s. You

Conference Session

Computers in Education 9 - Technology 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Emre Tokgoz, Quinnipiac University; Samantha Eddi Scarpinella, Quinnipiac University; Michael Giannone, Quinnipiac University

Tagged Divisions

Computers in Education

participants’ responses to solve series/error termsThe remaining part of this section is dedicated to analyzing the responses of the research participants.Participant 10 below chooses to solve the question using excel. This is an chosen by only 4% of thestudents. This student chooses to use excel because it was easy to use. Figure 12. Participant 10 response to solving the numerical value calculations.Participant 13 chooses to use MATLAB as the primary language and declares Mathematica as thesecond choice. The student has experience with MATLAB and can perform tasks quickly. MATLAB ischosen by 13% of the research participating students. Figure 13. Participant 13’s response based on determining solution quickly for the questionBelow

Conference Session

Computers in Education 9 - Technology 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Chelsea L. Gordon, zyBooks, A Wiley Brand; Roman Lysecky, University of Arizona; zyBooks, A Wiley Brand; Frank Vahid, University of California, Riverside

Tagged Divisions

Computers in Education

encourage early starts or to decrease cheating, newexperiences using auto-graders' built-in similarity checkers to reduce cheating [12],and much more.References[1] M. Sherman, S. Bassil, D. Lipman, N. Tuck, and F. Martin, “Impact of auto- grading on an introductory computing course,” Journal of Computing Sciences in Colleges, vol. 28, no. 6, pp. 69-75, Jun 2013.[2] R. Pettit, J. Homer, R. Gee, S. Mengel, and A. Starbuck. “An Empirical Study of Iterative Improvement in Programming Assignments.” in Proceedings of the 46th ACM Technical Symposium on Computer Science Education, SIGCSE, pp. 410-415, Feb 24 2015.[3] G. Haldeman, A. Tjang, M. Babeş-Vroman, S. Bartos, J. Shah, D. Yucht, and T.D. Nguyen, “Providing meaningful feedback for

Conference Session

Technical Session 10: Simulation and Modeling

Collection

2019 ASEE Annual Conference & Exposition

Authors

Sanish Rai, West Virginia University Institute of Technology; Thomas Keith Carter; Bimarsh Sharma

Tagged Divisions

Computers in Education

providing scholarship for student to work on the research.We would also like to thank NASA West Virginia Space Grant Consortium for providingundergraduate research fellowship to student to work on the research.REFERENCES 1. Macal, C. M., and North, M. J. Agent-based modeling and simulation. In Winter Simulation Conference, Winter Simulation Conference (2009), 86-98.2. Wilensky, U. (1999). NetLogo. http://ccl.northwestern.edu/netlogo/. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL.3. A. Kashif, X. H. B. Le, J. Dugdale, and S. Ploix, “Agent based Framework to Simulate Inhabitants' Behaviour in Domestic Settings for Energy Management” in ICAART (2), pp. 190-199, 2011.4. X. Pan, C. S. Han

Conference Session

Computers in Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Mourya Reddy Narasareddygari, North Dakota State University; Gursimran Singh Walia, North Dakota State University; Alex Radermacher, North Dakota State University; Otto Borchert, North Dakota State University

Tagged Divisions

Computers in Education

Paper ID #22817Evaluating Learning Engagement Strategies in a Cyber Learning Environ-ment during Introductory Computer Programming Courses – an EmpiricalInvestigationMrs. Mourya Reddy Narasareddygari I am Ph.D student at North Dakota State University. My research work is to see how different Learning strategies affect the student learning.Dr. Gursimran Singh Walia Gursimran S. Walia is an associate professor of Computer Science at North Dakota State University. His main research interests include empirical software engineering, software engineering education, human factors in software engineering, and software quality. He is a

Conference Session

Computers in Education Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Abul K. M. Azad, Northern Illinois University; Syed Abdul Hadi Razvi, Northern Illinois University

Tagged Divisions

Computers in Education

-billion-devices-will-be-connected-to- the-internet-by-2020-2013-10#ixzz3QWI7CyZh, (viewed on February 1, 2015)[2] R. Piyare, Internet of Things: Ubiquitous Home Control and Monitoring System using Android based Page 26.1770.11 Smart Phone, International Journal of Internet of Things, Vol. 2 No. 1, 2013, pp. 5-11. doi: 10.5923/j.ijit.20130201.02.[3] G. Kortuem, F. Kawsar, D. Fitton, and V. Sundramoorthy, "Smart objects as building blocks for the internet of things," Internet Computing, IEEE, vol. 14, pp. 44-51, 2010.[4] D. Lowe, S. Murray, E. Lindsay, and D. Liu, Evolving remote laboratory architectures

Conference Session

Web-Based Education

Collection

2007 Annual Conference & Exposition

Authors

Ahmed Abu-Hajar, San Francisco State University; Michael Holden, San Francisco State University

Tagged Divisions

Computers in Education

; Vagge, S. (1999). Maximizing constructivist learningfrom multimedia communications by minimizing cognitive load. Journal of EducationalPsychology, 91(4), 638–643.4. McCombs, B. L. (2000). Assessing the role of educational technology in the teaching andlearning process: A learner centered perspective. The Secretary Conference on EducationalTechnology 2000.5. http://www.nsf.gov/crssprgm/reu/6. Way Kuo, Assessment for US Engineering Programs, IEEE Transaction on Reliability, vol 55,March 2006, pp 1-67. F. Frankel, “Translating Science into Pictures: A Powerful Learning Tool,” Invention andImpact: Building Excellence in Undergraduate Science, Technology, Engineering, andMathematics (STEM) Education, AAAS Press, 2005, pp. 155-158.8. L. Cochran et al

Conference Session

Hardware Descriptive Language Education

Collection

2008 Annual Conference & Exposition

Authors

Jonathan Hill, University of Hartford

Tagged Divisions

Computers in Education

registers, the memory map andmemory mapped devices, as well as the instruction mnemonics and addressing nodes, aswell as the interface to the exception handling mechanism. From the programmer’s pointof view nod4 has the following CPU registers • A – accumulator • C – condition code register (Z,C,I) and IID • S – stack pointer • X – index register • PC – program address counterThe A register is primarily for handling data. The C register contains the zero flag (Z),carry/borrow flag (C), and the interrupt enable flag (I). The lower five C register bitsstore the ID for an interrupting device (IID). The stack pointer maintains the stack datastructure. The X register is a fairly general purpose index register. The program counter(PC