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

Engineering at the University of Wyoming, Laramie, WY, from which he received both the BSEE and MSEE degrees. He is a member of Tau Beta Pi. E-mail: dmares@uwyo.eduSteven Barrett, University of Wyoming Steven F. Barrett, Ph.D, P.E., is with the Department of Electrical and Computer Engineering at the University of Wyoming, Laramie, WY. His research interests include signal and image processing, real-time embedded computer systems, biomedical instrumentation, and microcontroller-based design. He is a member of ASEE, IEEE, and Tau Beta Pi. E-mail: steveb@uwyo.eduThad Welch, U.S. Naval Academy Thad B. Welch, Ph.D, P.E., is with the Department of Electrical and Computer Engineering at the U.S

Conference Session

Technical Session 10: Simulation and Modeling

Collection

2019 ASEE Annual Conference & Exposition

Authors

Jing Zhang, Indiana University Purdue University - Indianapolis; Tejesh Charles Dube, Indiana University Purdue University, Indianapolis; Michael Golub, IUPUI

Tagged Divisions

Computers in Education

fatigue life, two different geometric designsare proposed, as shown in Figure 3 and Figure 4. As shown in the figures, some slightmodifications to the left end of the model were made. Figure 3: Design model A Figure 4: Design model BThe part in Figure 3, Model A, is the base model. The model in Figure 4 Model B, has hadrounds with a diameter of 0.15 mm applied to four small edges.The fatigue life analysis is done with the Goodman equation, using adjusted stress to account forthe mean stress being equal to half of max stress. The fatigue analysis results are in Figure 5below. Figure 5: Fatigue life of Model A Figure

Conference Session

Computers in Education 6: Best of CoED

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Sherif Abdelhamid, Virginia Military Institute; Yousef Jalali, Virginia Polytechnic Institute and State University; Andrew Katz, Virginia Polytechnic Institute and State University

Tagged Divisions

Computers in Education

to single-author papers during the last 14years, as shown in figure 3.a. Additionally, the analysis revealed an overall increase inmulti-institution publications. Figure 2: Annual number of publications in ASEE conference proceedings 1996 - 2020. (a) (b) Figure 3: Proportion of (a) multi-author and (b) multi-institution publications compared to total publications in the ASEE conference proceedings from 2006 to 2020.A mapping of the ASEE publications to geographic locations was carried out. The schoolinformation was extracted from the author’s affiliation. A geocoding process was conducted totransform the text-based description or the name of the

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

Tagged Divisions

Computers in Education

AC 2009-708: THE DSP OF AN UNSTABLE FINANCIAL ACCOUNTThad Welch, Boise State University Thad B. Welch, Ph.D, P.E., is with the Department of Electrical and Computer Engineering at Boise State University, Boise, ID where he is a Professor and Chair of the Department. Dr. Welch's research interests include the implementation of communication systems using DSP-based techniques, DSP education, and RF signal propagation. He is a member of ASEE, IEEE, Tau Beta Pi, and Eta Kappa Nu. E-mail: t.b.welch@ieee.orgCameron Wright, University of Wyoming Cameron H. G. Wright, Ph.D, P.E., is with the Department of Electrical and Computer Engineering at the University of Wyoming, Laramie, WY. His research

Conference Session

General Technical Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

John P. Mullen, New Mexico State University

Tagged Divisions

Computers in Education

questions at this level 48% ofthe time. The OECD average is 55%. At level 4, 25% of the US students correctly answered thequestions, compared to the OECD average of 31%. At level 5, 9% of US students were correct,while the OECD average was 13%7. Even though the OECD averages are slightly higher, TheUS and OECD 10th and 90th percentiles are virtually the same. As noted in Figure 1, thedifferences from year to year are small, compared to the overall distribution of scores. Chris has just received her car driving license and wants to buy her first car. This table below shows the details of four cars she finds at a local car dealer. QUESTION: Which car’s engine capacity is the smallest? a) Alpha b

Conference Session

COED: EE Topics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Rustin Webster, Purdue University, New Albany; Joseph F Dues Jr., Purdue University

Tagged Divisions

Computers in Education

.Participants took part in one of two VR experiences, each lasting approximately three to fiveminutes. Option A, a tethered version which utilized an Oculus Rift Development Kit 2 (DK2)(see Figure 2), wireless gamepad (see Figure 3) and headphones (Figure 4), and custom builtdesktop computer. Option B, a mobile version that utilized the Samsung Gear VR innovatoredition (Figure 2), wireless headphones (Figure 4), and mobile phone (i.e. Samsung S6 Edge).Besides the differences due to hardware, the interactive simulation was held constant betweenthe two groups; Titans of Space version 1.8 and version 1.1 respectively (see Figure 5 and Figure6). This particular VR experience was chosen because it was available for both systems and itwas known to have a low

Conference Session

Technical Session 6: Modulus Topics Part 2

Collection

2019 ASEE Annual Conference & Exposition

Authors

Paras Sud, University of Illinois, Urbana-Champaign; Matthew West, University of Illinois, Urbana-Champaign; Craig Zilles, University of Illinois, Urbana-Champaign

Tagged Divisions

Computers in Education

Limited, 06 2015, pp. 243–250. [3] C. Zilles, R. T. Deloatch, J. Bailey, B. B. Khattar, W. Fagen, C. Heeren, D. Mussulman, and M. West, “Computerized testing: A vision and initial experiences,” in 2015 ASEE Annual Conference & Exposition, no. 10.18260/p.23726. Seattle, Washington: ASEE Conferences, June 2015, https://peer.asee.org/23726. [4] R. F. DeMara, N. Khoshavi, S. D. Pyle, J. Edison, R. Hartshorne, B. Chen, and M. Georgiopoulos, “Redesigning computer engineering gateway courses using a novel remediation hierarchy,” in 2016 ASEE Annual Conference & Exposition, no. 10.18260/p.26063. New Orleans, Louisiana: ASEE Conferences, June 2016, https://peer.asee.org/26063. [5] B. Chen, M. West, and C. Zilles, “How much

Conference Session

Educational Software

Collection

2008 Annual Conference & Exposition

Authors

Cameron Wright, University of Wyoming; Michael Morrow, University of Wisconsin - Madison; Mark Allie, University of Wisconsin - Madison; Thad Welch, Boise State University

Tagged Divisions

Computers in Education

@engr.wisc.eduThad Welch, Boise State University Thad B. Welch, Ph.D, P.E., is Head of the Department of Electrical and Computer Engineering at Boise State University, Boise, ID. His research interests include the implementation of communication systems using DSP techniques, DSP education, multicarrier communication systems analysis, and RF signal propagation. He is a member of ASEE, IEEE, Tau Beta Pi, and Eta Kappa Nu. E-mail: t.b.welch@ieee.org Page 13.1352.1© American Society for Engineering Education, 2008 Using Real-time DSP to Enhance Student Retention and Engineering Outreach Efforts

Conference Session

Programming for Engineering Students

Collection

2006 Annual Conference & Exposition

Authors

Ramzi Bualuan, University of Notre Dame

Tagged Divisions

Computers in Education

Engineering Students Using Fun Animation in MATLABAbstract - This paper describes an approach to teach computer programming concepts tofirst-year engineering students. The environment of choice is Matlab, and the teachingmethod consists of requiring the students to create a project in which they will code acomputer game with the use of functions that are provided to them. The gaming aspect ofthe project generates a high level of fun which enhances the learning process. The projectis one of the four modules that Engineering Freshmen work on while taking their twoIntroduction to Engineering Systems courses. It spans half a semester, and, unlike theother three group-based projects, is individually-based.Matlab provides a wide range of animation tools

Conference Session

Hardware Applications

Collection

2011 ASEE Annual Conference & Exposition

Authors

Gary Spivey, George Fox University

Tagged Divisions

Computers in Education

http://engr.georgefox.edu/Chirps.Acknowledgements This material is based upon work supported by the National Science Foundation under GrantNo. 0720526. 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. Page 22.1432.12References1 G. Spivey, B. Harder, , “Starting a Multidisciplinary Senior Capstone Design Course”, 2007 Capstone Design Conference, June 2007, Boulder, CO.2 D. Heer , R. Traylor, T. Thompson., and T. Fiez,, “Enhancing the Freshman and Sophomore ECE Student Experience using a

Conference Session

Pedagogical Issues in Computing

Collection

2011 ASEE Annual Conference & Exposition

Authors

Tumkor Serdar, Stevens Institute of Technology; El-Sayed Aziz, Stevens Institute of Technology; Sven K. Esche, Stevens Institute of Technology; Constantin Chassapis, Stevens Institute of Technology (School of Engineering and Science)

Tagged Divisions

Computers in Education

have been tailored for many subjectareas, but more work on adopting this approach for engineering education is warranted. Forinstance, because of the technical restrictions of the programming for such virtual worlds, theimplementation of realistic laboratory exercises has turned out to be very challenging.In this paper, the development of a classroom and a laboratory space with a number ofengineering experiments in Second Life/OpenSim 6.7 is described. The technical problemsencountered during this development can be divided into three main groups: (a) insufficientvisual appeal of the object models, (b) problems with the physics engine and (c) limitedprogramming capabilities. The object models are low in graphical quality, giving them

Conference Session

Computer Education Innovations I

Collection

2010 Annual Conference & Exposition

Authors

Edward Gehringer, North Carolina State University

Tagged Divisions

Computers in Education

these uses. It’spossible for student A to register a partnership with student B, while student B says (s)he’spartnering with student C, for example. These discrepancies need to be resolved manually. Insigning up, there’s no way to enforce a limit on how many students (or teams) can sign up for thesame topic. I tried using a Google spreadsheet, identifying particular cells as the “slots” for aparticular topic. But some students overwrote each other’s entries, or placed their names in cellsadjacent to the specified cells, because the specified cells were already taken. Page 15.1177.14Proceedings of the 2010 American Society for Engineering

Conference Session

Computer Education Innovations II

Collection

2010 Annual Conference & Exposition

Authors

Joseph Tront, Virginia Tech; David Bailey, Virginia Polytechnic and State University; Thomas Walker, Virginia Tech; Steven Lee, Virginia Tech

Tagged Divisions

Computers in Education

2|Pagehas a 2.4 GHz (802.11 b and g) and 5 GHz (802.11a) radio. Each access point in the classroomis connected to a 100 Mbps Ethernet edge switch. The switch has a 1000 Mbps connection to thebuilding distribution switch.Theoretically, the available bandwidth in the room is 54 Mbps per radio. Realistically, we canonly achieve about half of that under perfect situations. This is because of the half duplexoperation of the radios, overhead in packet headers and 802.11 control messages. Therefore, eachradio (2 per WAP) can provide approximately 25 Mbps under ideal circumstances. Thisbandwidth is shared by all clients associated to the radio.The goal of the classroom wireless design is to achieve an environment that provides the mostefficient use

Conference Session

Computers and Simulation

Collection

2012 ASEE Annual Conference & Exposition

Authors

Hyun J. Kwon, Andrews University

Tagged Divisions

Computers in Education

computersimulation renders understanding of concept, related theory, and necessary modeling experience.The objectives of this study are as follows: (a) Promote understanding of fluid dynamics conceptby doing (ABET outcome e)– theoretical analysis through modeling with variable parametersand solving it using the COMSOL. Students learn more effectively if they practice the concept inreal application – modeling equations and simulating to obtain objects’ drag coefficients andreconfirming it through experiments. (b) Expose students to modern technology (ABEToutcome k): Students are exposed to the modern and leading technology that industry is currentlyusing or heading to. Students learn to find and master new technology as necessary. This alsocarried the

Conference Session

Computed Simulation and Animation

Collection

2006 Annual Conference & Exposition

Authors

Ramiro Bravo, Tri-State University

Tagged Divisions

Computers in Education

information is provided: • All pipe sizes and materials • Flow rates coming in or out at points A and B, as shown in the figure Qa = 4 ft3/s A 2 C Q2 Q1 Q3 1 3 B Qb=1 ft3/s Page 11.1386.2 Figure 1. Analysis of a Simple NetworkThe problem has three unknowns, and to solve for them, three independent equations are

Conference Session

CoED: Computer Science Topics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Roxanne Moore, Georgia Institute of Technology; Michael Helms, Georgia Institute of Technology; Jason Freeman, Georgia Tech

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

, often within hours of first exposure to theapplication8. This rapid generation of creative artifacts, coupled with sound samples rooted inmodern musical genres such as R&B, dubstep, hip-hop and electronica, provides enhanced levelsof student engagement and social esteem.Through observational studies of EarSketch in classrooms, it is clear that engagement in project-based STEM and STEAM curriculum holds some hidden challenges. Specifically, studentengagement, in this case meaning active participation in curricular activities, tells only part of thestory. While a majority of students in a class may be productively participating, researchersobserved that some students fixated on artistic expression without necessarily engaging insubstantial

Conference Session

Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Alka R Harriger, Purdue University-Main Campus, West Lafayette (College of Engineering); Arjun Shakdher, Purdue University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

TECHFIT, whosereach have been restricted due to software availability on limited platforms, may want toconsider employing Wine with CrossOver to develop comparable software for otherplatforms used by their participants.References[1] M. E. Joorabchi, M. Ali and K. Philippe, "Real challenges in mobile app development," in Empirical Software Engineering and Measurement, ACM/IEEE International Symposium, 2013.[2] Wine HQ, "What is Wine?," Wine HQ, CodeWeavers, [Online]. Available: https://www.winehq.org. [Accessed 21 January 2019].[3] CodeWeavers, "CodeWeavers Licensing Questions," CodeWeavers, [Online]. Available: https://www.codeweavers.com/store/licensing. [Accessed 21 January 2019].[4] A. R. Harriger, B. C. Harriger, M. G. Flynn and S

Conference Session

General Technical Session 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Christian Rogers, Indiana University-Purdue University Indianapolis; Jerry Clyde Schnepp, Bowling Green State University

Tagged Divisions

Computers in Education

Closed-book Exams on Student Achievement in an Introductory Statistics Course. PRIMUS. 2. Dickson, K. L., & Miller, M. D. (2005). Authorized crib cards do not improve exam performance. Teaching of Psychology, 32, 230-233. 3. Erbe, B. (2007). Reducing test anxiety while increasing learning: The cheat sheet. College teaching, 55(3), 96–98. doi:10.3200/CTCH.55.3.96-98 4. Funk, S. C., & Dickson, K. L. (2011). Crib card use during tests: Helpful or a crutch? Teaching of Psychology, 38, 114-117. 5. Gharib, A., Phillips, W., & Mathew, N. (2012). Cheat Sheet or Open-Book? A Comparison of the Effects

Conference Session

Computers in Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Matthew Nelson, Iowa State University; Benjamin Ahn, Iowa State University

Tagged Divisions

Computers in Education

rough proof of concept has been demonstrated, refining this to a more finished product is ongoing.Additional work is also going into incorporating augmented reality as well. Using augmentedreality tools such as Apple’s ARKit and Google’s ARCore are being looked to increase the otherplayers engagement with the system. Augmented reality allows for the continued use of bothphysical objects such as the props described in this paper and further bring the student into theexperience and engagement with the learning process.References [1] M. F. Cox, C. Osman, B. Ahn, and J. Zhu, “Engineeirng professionals’ expectations of undergraduate engineering students,” Leadership and Management in Engineering, vol. 12, no. 2, pp. 60–70, 2012. [2] L. J. Shuman

Conference Session

Faculty Tools

Collection

2011 ASEE Annual Conference & Exposition

Authors

Walter W. Schilling, Milwaukee School of Engineering

Tagged Divisions

Computers in Education

personallyidentifiable information from education records it maintains (or creates) on behalf of the districtor institution. Further, in accordance with § 99.33(a) and (b), the contractor may not re-disclosepersonally identifiable information without consent unless the district or institution hasauthorized the re-disclosure under a FERPA exception and the district or institution records the Page 22.709.8subsequent disclosure.”13 Thus, it is permissible to use Dropbox as a service provider provided ithas specified in its annual FERPA notification that it uses contractors, consultants, volunteers,etc. as school officials to provide certain institutional services

Conference Session

Data Analytics in Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Conrad Tucker, Pennsylvania State University, University Park; Barton K. Pursel, The Pennsylvania State University; Anna Divinsky

Tagged Divisions

Computers in Education

, Graesser A. Mind and Body: Dialogue and Posture for Affect Detection in Learning Environments. In: Proceedings of the 2007 Conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work. Amsterdam, The Netherlands, The Netherlands: IOS Press; 2007:161–168. Available at: http://dl.acm.org/citation.cfm?id=1563601.1563631. Accessed December 12, 2013.19. Pang B, Lee L. Opinion Mining and Sentiment Analysis. Found Trends Inf Retr. 2008;2(1-2):1–135. doi:10.1561/1500000011.20. Bollen J, Mao H, Zeng X. Twitter mood predicts the stock market. J Comput Sci. 2011;2(1):1–8. doi:10.1016/j.jocs.2010.12.007.21. Salathé M, Khandelwal S. Assessing Vaccination Sentiments with Online

Conference Session

Hardware Applications

Collection

2011 ASEE Annual Conference & Exposition

Authors

Alisa N. Gilmore, University of Nebraska, Lincoln; Jose M. Santos, University of Nebraska, Lincoln; Aaron Joseph Mills, Iowa State University

Tagged Divisions

Computers in Education

levelUniversity students. Few robot platforms possesses a range of programming options that allowaccess to novice programmers such as young elementary children up to embedded systemsprogrammers such as upper level engineering majors. These Computer Interface Innovationsmake this possible. The potential impact for early recruiting of STEM talent from the youth poolincreases dramatically using a platform that can grow with students as they advance in skills andultimately follow them to a degree program.Bibliography 1. Gilmore, A., Chen, B., and Grandgenett, N. “Using Robotics to Equip K-12 Teachers: The Silicon Prairie Initiative for Robotics in Information Technology”, ASEE 2009 2. Gilmore, A., Detloff, H. “Assessing Senior Student

Conference Session

Modeling and Simulation

Collection

2016 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education

, only one question was asked in thechemical engineering course, near the end of term: 1. If your goal was to separate chemical A (specific chemical included) from chemical B, which column design would you recommend be built? Why?The simulation questions were chosen to take a homework assignment and transform it into apotential real-life scenario. These open-ended questions required students to give an opinionabout their solution and sometimes forced the students to search for information that was notpresented in class. Solutions were not always obvious or straightforward, but in every casestudents did have the tools to arrive at the correct answer/recommendation. That is, no questionwas beyond the scope of their existing knowledge, but

Conference Session

Robots and K-12 Computer Applications

Collection

2013 ASEE Annual Conference & Exposition

Authors

Jeffrey Laut, Polytechnic Institute of New York University; Vikram Kapila, Polytechnic Institute of New York University; Magued G. Iskander P.E., Polytechnic Institute of New York University

Tagged Divisions

Computers in Education

you reach your goal, at which time you stop. Next, a control algorithm isdevised where the forward velocity of the robot is equal to a constant multiplied by the distanceto the goal. This algorithm is implemented in a Matlab script, which is shared and discussed withthe students. The script is then executed and the students observe, examine, and critique itsperformance.Figure 3: Real-time visualization of odometry data. Here, the wheel has rotated approximately one and a quarter turn. (a) Dashed line indicates the wheel start position and red line indicates current position and (b) angular position of the wheel in degrees.5. Lesson 2—Classroom Mapping In this activity, we build upon the basic odometry model of the

Conference Session

Software and Hardware for Educators II

Collection

2010 Annual Conference & Exposition

Authors

James Lewis, University of Louisville

Tagged Divisions

Computers in Education

AC 2010-1823: TWO TECHNIQUES FOR EFFECTIVELY PRESENTINGINFORMATION IN THE CLASSROOM WITH MULTIPLE TABLET PCSJames Lewis, University of Louisville James E. Lewis, Ph.D. is an Assistant Professor in the Department of Engineering Fundamentals in the J. B. Speed School of Engineering at the University of Louisville. His research interests include parallel and distributed computer systems, cryptography, engineering education, undergraduate retention and technology (Tablet PCs) used in the classroom. Page 15.1283.1© American Society for Engineering Education, 2010 Two Techniques for Effectively

Conference Session

Computers in Education Division Technical Session 3: Digital Learning Part I

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Edward E. Anderson, Texas Tech University

Tagged Divisions

Computers in Education

and Scientists, New York: CRC Press,2012.[11] J. Schmidhuber, “Deep Learning in Neural Networks: An Overview,” Neural Networks vol.61, pp. 85-117, 2015.[12] A. Almasri, A. Ahmed, N. Al-Masri, Y. A. Sultan, A. Y. Mahmoud, M. I. Zaqout, A. N.Akkila and S. S. Abu-Naser, “Intelligent Tutoring Systems Survey for the Period 2000-2018”,IJAER vol 3(5), pp 21-37, 2019.[13] B. P. Woolf, Building Intelligent Interactive Tutors Student Centered Strategies forRevolutionizing E-Learning, New York: Morgan Kaufman, 2009.[14] Y. A. Cengel, M. A. Boles and M. Kanoglu, Thermodynamics An Engineering Approach,New York: McGraw-Hill, 2019.[15] M. J. Moran, H. N. Shapiro, D. D. Boettner and M. B. Bailey, Fundamentals of EngineeringThermodynamics, New York: Wiley

Conference Session

Web-Based Education

Collection

2008 Annual Conference & Exposition

Authors

David Olowokere, University of Alabama at Birmingham; Kayode P. Ayodele, Obafemi Awolowo University; Olutola Jonah; Temitope O. Ajayi, Obafemi Awolowo University, Ile-Ife, Nigeria; O.O. Akinwunmi, Obafemi Awolowo University, Ile-Ife, Nigeria

Tagged Divisions

Computers in Education

the two terminals indicating that a connection has Page 13.1025.7been made. (a) (b) Figure 4: (a) Main interface and (b) signal plotting interface of the Flex OpLab RLIConnecting the nodes of the circuit allowed another advantage of Flash to emerge. Flash allowsthe seamless integration of different types of media from video to images and simple text. In thepresent instance, the use of a RLI implies that the students need to determine what physical pinson the LM324 correspond to what functionality. To achieve this, the students are

Conference Session

Mobile Robotics in Education

Collection

2007 Annual Conference & Exposition

Authors

Austin Griffith, University of Wyoming; Steven Barrett, University of Wyoming; Daniel Pack, U.S. Air Force Academy

Tagged Divisions

Computers in Education

AC 2007-447: VERILOG HDL CONTROLLED ROBOT FOR TEACHINGCOMPLEX SYSTEMS DESIGNAustin Griffith, University of Wyoming Austin Griffith completed the Bachelor of Science degree in Electrical Engineering in 2004 and the Masters of Science degree in Electrical Engineering in 2006 at the University of Wyoming. He is a member of IEEE and Tau Beta Pi -- the Engineering Honor Society. He is project engineer with Plasma Cam of Colorado City, Colorado.Steven Barrett, University of Wyoming Steven F. Barrett received the BS Electronic Engineering Technology from the University of Nebraska at Omaha in 1979, the M.E.E.E. from the University of Idaho at Moscow in 1986, and the Ph.D. from The University

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

                  1.9687      4.5990      4.2147      4.5990      2.2460      0.0000 Model  VISIBLE                  4.2147      3.5990      4.9687      3.5990      0.7540      0.0000  Figure 1, Example email response sent to the student from the grading program. A B Figure 2, JPG files sent to the student from the grading program.For each submission, the program updates a CSV (comma separated variable) file which recordsthe score, the time of submission, and the creation time of the file in a grid format based on theemail address of the submission to identify the student. The student ID associated with each

Conference Session

Computer Simulation and Animation II

Collection

2008 Annual Conference & Exposition

Authors

Mark Rossow, Southern Illinois University-Edwardsville

Tagged Divisions

Computers in Education

” ofinformation that working memory can contain is, as expressed in the title of a widelycited article, “The magical number seven plus or minus two” 13.3. Long-term memory, on the other hand, appears to be essentially unlimited. Learning“may be defined as the encoding (storage) of knowledge and/or skills into long termmemory in such a way that the knowledge and skills may be recalled and applied at alater time on demand”2.4. One key concept in CLT is “schema” acquisition. A schema is an element of long-term memory that a) although it may refer to multiple pieces of data, may be brought intoworking memory and treated as a single “chunk” of information, and b) containsinformation about how the data will be used. A chess master seeing a