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

specific things you would learn in traditional laboratories that you feel you do not learn in agame-based laboratory?• Not really, except for actually setting up the experiment• Direct instruction and Q&A with TA• How the physical setup really works• How various equipment is used and operatedDo you have any suggestions for additional experiments that you would like to have madeaccessible in a game-based laboratory environment?• Designing aircraft• Every laboratory for every class• All laboratories at SIT where raw data are collected during the scheduled laboratory time• Laboratories where the data acquisition takes a period of time and the students must wait for the results

Conference Session

Computer Simulation and Animation I

Collection

2008 Annual Conference & Exposition

Authors

Michael Black, American University

Tagged Divisions

Computers in Education

13.86.11AcknowledgementsThe author would like to thank his students for giving permission to publish screenshots of theirproject work as long as they remained anonymous. The author also thanks the reviewer for thehelpful comments and corrections.References1 L. Kalampoukas, A. Varma, D. Stiliadis and Q. Jacobson, "The CPU Design Kit: An Instructional PrototypingPlatform for Teaching Processor Design," Workshop on Computer Architecture Education, Int'l Symposium inComputer Architecture, 1995.2 T. Stanley and M. Wang, “An emulated computer with assembler for teaching undergraduate computerarchitecture,” Workshop on Computer Architecture Education, Int'l Symposium in Computer Architecture, 2005.3 L. Udugama and J. Geeganage, “Students’ Experimental Processor: A

Conference Session

Computational Tools and Simulation I

Collection

2009 Annual Conference & Exposition

Authors

Nabil Lehlou, University of Arkansas; Nebil Buyurgan, University of Arkansas; Justin Chimka, University of Arkansas

Tagged Divisions

Computers in Education

., “Animations and Intelligent Tutoring Systems for Programmable Logic Controller Education.” International Journal of Engineering Education, 19(2), p. 282-296 (2003). Page 14.209.86. Huang, S., Su, Q., Samant, N., and Khan, I., “Development of a Web-Based Integrated Manufacturing Laboratory,” Computer Applications in Engineering Education, 9(4), p. 228-237 (2001).7. Jiang, H., Kurama, Y., and Fanella, D., “WWW-Based Virtual Laboratories for Reinforced Concrete Education,” Computer Applications in Engineering Education, 10(4), p. 167-181 (2002).8. Kuester, F. and Hutchinson, T., “A Virtualized Laboratory for Earthquake

Conference Session

CoED Mechanical Engineering Topics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Joseph Michael Mahoney, Penn State Berks ; Rungun Nathan, Pennsylvania State University, Berks Campus

Tagged Divisions

Computers in Education

important in their work?." Journal of Engineering Education 101.1 (2012): 95-118.[11] Nguyen, Duyen Q. "The essential skills and attributes of an engineer: A comparative study of academics, industry personnel and engineering students." Global J. of Engng. Educ 2.1 (1998): 65-75.

Conference Session

CoED: Embedded Systems and Robotics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Abul K. M. Azad, Northern Illinois University; Reza Hashemian P.E., Northern Illinois University; Mohd Afwaan Ahmed Quadri

Tagged Divisions

Computers in Education

 K17   0 0 0 0 0 C = τ ( j) , F = [K 6 0  0]T3.2 State-Space FormulationA state-space formulation of the dynamic equation of the manipulator can be constructed byreferring to the matrix formulation. Using the notation for simulation of discrete-time linearsystems, the dynamic equations of the flexible manipulator can be written as:  A B   C  P= , Q=  , R = [I N 0N ], S = [0 2N ] (12)  I NxN 0 NxN  0 N×1  u = [τ 0  0

Conference Session

Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Kenie R. Moses

Tagged Divisions

Computers in Education

Affective Tutoring System,”Workshop on Motivational and Affective Issues in ITS, 8th International Conference on ITS 2006, pp. 38-45, 2006.[41] M. A. Ringenberg and K. VanLehn, “Scaffolding problem solving with annotated, worked-outexamples to promote deep learning,” in Intelligent tutoring systems, pp. 625–634, 2006.[42] M. Alves, C. S. Rodrigues, A. M. A. C. Rocha, and C. Coutinho, “Self-efficacy, mathematics’ anxietyand perceived importance: an empirical study with Portuguese engineering students,” European Journal ofEngineering Education, vol. 41, no. 1, pp. 105–121, Jan. 2016.[43] Q. Brown, “Mobile intelligent tutoring system: moving intelligent tutoring systems off the desktop,”PhD thesis, Drexel University, 2009.

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

Exposition, Atlanta, GA, June 2013. Page 26.516.9 9. Bakrania, S., “Getting Students Involved in a Classroom with an iPhone App”, Proceedings of the 2012 ASEE Conference and Exposition, San Antonio, TX, June 2012.10. Kowalski, F. V., Kowalski, S. E., Gardner, T. Q., “Using Mixed Mobile Computing Devices for Real-Time Formative Assessment”, Proceedings of the 2013 ASEE Conference and Exposition, Atlanta, GA, June 2013.11. Hake, R. R., “Interactive-engagement versus traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses, American Journal of Physics, 66-74, 1998.12

Conference Session

Computers in Education Division Technical Session 9: Pedagogical Tools

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Thiago Fernandes Leao, Purdue University Northwest; Jiliang Li P.E., Purdue University Northwest; Jinyuan Zhai, Minnesota State University, Mankato

Tagged Divisions

Computers in Education

failure.  Spatial variability: The program offers an option to define the spatial variability of each slice, which can be analyzed with isolate parameters or in groups. When more field investigation and soil testing are available, more statistical data become available and the probability of failure can be more accurately estimated.Some results generated by PNW-SLOPE are presented in the following figures. Fig. 7shows the results for deterministic analysis. The table in Fig.7 contains each input dataconsidered and the results for each slice. This way of presenting the output is very usefulfor verification of hand calculations. Fig. 8 presents the distributions of the factor ofsafety and Fig. 9 the scatter data for load (Q

Conference Session

Issues in Computer Education

Collection

2006 Annual Conference & Exposition

Authors

Jun Luo, Ohio Northern University; Robert Hovis, Ohio Northern University

Tagged Divisions

Computers in Education

papers; 2) if students want to improve their papers based on the results in the evaluationforms, they must turn in the final version of the paper at the end of the tenth week. Theinstructor will calculate a new score for the paper if it has been updated according to theevaluation results. For example, if a student loses points due to spelling errors and later revisesthe paper to correct the errors, then the deducted points will be credited.The second in-class test is given in the fourth class period of this week.Week 10: Presentation.Students are required to give a presentation in class, using Microsoft PowerPoint slides. Eachpresentation is followed by a 2-minute Question-and-Answer (Q&A) session. The students areexpected to clearly address

Conference Session

Computers in Education Division - General Technical Session 2

Collection

2013 ASEE Annual Conference & Exposition

Authors

Charles H. Forsberg, Hofstra University

Tagged Divisions

Computers in Education

between theflow rate and pressure drop. Finally, the students plot the data and the function on log-log axes.They see that there is good correlation between the data and the function, the function plots as astraight line, and the data approximates a straight line. This reinforces the students'understanding that a power function plots as a straight line on log-log axes.The following data was obtained from the experiment: Flow Rate Q (gpm) Pressure Difference P (mm H2O) 1.25 11 1.8 26 2.1 31 2.5 40 2.9

Conference Session

Simulation

Collection

2011 ASEE Annual Conference & Exposition

Authors

Ames Bielenberg, Swarthmore College; Erik Cheever, Swarthmore College

Tagged Divisions

Computers in Education

, for indicating applied force, heat flow, current, etc. Becomes a diamond when length is near 0. Can be called in two ways. The second is for translating systems and uses an Axis. ● v associated Y[v] index. If negative, the constant number -1-v (~v) is used. ● loc tail location, in the form [x,y]. ● angle angle in which to point. ● A the axis along which to move. ● rest the point along the axis to call home. ● scale value scaling factor. [Optional: defaults to 2] ● label label Returns: an Arrow object dia.arrow(0,[60,25],0,4,'q'); Figure 4: Descriptions of mass, spring and arrow in help documentation

Conference Session

Computational Tools and Simulation II

Collection

2010 Annual Conference & Exposition

Authors

Jonathan Hill, University of Hartford

Tagged Divisions

Computers in Education

[ 7:0] Enable ALE LE A /O1 /WR Q /OE AD[ 7:0] D E /O5 RAM (8K) Lat ch Decoder A[ 12:0] E /CE D[ 7:0] E /WR /WR R/W

Conference Session

Data Analytics in Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Hon Jie Teo, Virginia Tech

Tagged Divisions

Computers in Education

. Network motif analysis is light-weightsolution that is capable of evaluating large amounts of educational data in educational platformsthat cater to the need of many students (such as MOOCs) and rely on the participation of masses(Q&A sites and online communities). The proposed approach will resolve some assessmentchallenges in examining student participation across different bodies of social groups and onlineengineering spaces. In online environments that host thousands of engineering learners, networkmotif analysis will offer descriptive accounts of recurring interaction patterns between novicesand experts, as well as consistent forms of interactions between groups of engineering learnersthat is indicative of sustained participation in

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

can’t breathe.” 40. Kraig: “Because there’s no air. Why would you need air?” 41. Unidentified student: “To speak.” 42. Unidentified student: “To hear.” 43. Kraig: “Why do you need air to talk?” 44. Q: [Inaudible.] 45. Kraig: “What’s that, Q?” 46. Q: “It transports a voice.” 47. Kraig: “Because it transports a voice. Sure. Okay, how?” 48. Q: “Sounds...” 49. Unidentified student: “Through the air.” 50. Kraig: “Right, sound waves through the air. That’s right.”Additional examples from Kraig’s second class on the day of the Thought Cloud’s rollout—hishonors class—provide further contrast between the instructional approaches he took with

Conference Session

Technical Session 11: Topics related to Computer Science

Collection

2019 ASEE Annual Conference & Exposition

Authors

Farzana Rahman, Florida International University; Samy El-Tawab, James Madison University

Tagged Divisions

Computers in Education

Conference Session

Computers in Education Division Technical Session 9: Pedagogical Tools

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Martin Imre, University of Notre Dame; Wenqing Chang, Xi'an Jiaotong University; Shuzhan Wang, Beijing University of Posts and Telecommunications; Christine P. Trinter, University of Notre Dame; Chaoli Wang, University of Notre Dame

Tagged Divisions

Computers in Education

. For the two display panels, the right one is replaced for the question and answer (Q&A). Inthe control panel, we remove the function of changing the data set, as only a single data set is associated with a question.Furthermore, we decide to move the data set description section to the top of the control panel for quick attention, asthe questions are usually data set specific. GraphVisual supports textual questions with a text box for answering aswell as single- or multiple-choice questions associated with a corresponding display panel. The interaction functionsin the quiz component are a subset of the functions provided in the study component.Figure 7: The screenshot of GraphVisual (quiz component). Compared with the study component shown

Conference Session

General Technical Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Mihaela Radu, SUNY Farmingdale State College; Clint S. Cole, Digilent, Inc.; Mircea Alexandru Dabacan, Technical University of Cluj-Napoca; Monica Ignat Bot, Digilent; Alex Wong, Digilent, Inc.; Joe Harris, Digilent, Inc.

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

theimpedance modulus and phase, as well as others parameters (C or L, Q) and plot the values onthe LCD display. Page 26.1775.6 Figure 3. Winning Project Europe Region - 2014USA RegionThe first Digital Design Competition was organized at Rose Hulman Institute of Technology, In,USA, starting in the academic year 2006-2007. The contest was very popular among students, anaverage of 10-15 students participating every year, despite a very busy schedule. Students whopresented their final projects received professional development credits. Starting in 2012, thecontest became national and the last three editions were organized as

Conference Session

Web-Based Education

Collection

2007 Annual Conference & Exposition

Authors

James Squire, Virginia Military Institute; Vonda Walsh, Virginia Military Institute; H. Francis Bush, Virginia Military Institute; Gerald Sullivan, Virginia Military Institute; Anthony English, University of Tennessee-Knoxville

Tagged Divisions

Computers in Education

. 1910.5. Paul T. Brady, Effects of transmission delay on conversational behavior on echo-free telephone circuits. Bell System Technical Journal, 50(1):115-134, January 1971.6. Maddox, W. Todd, F. Gregory Ashby, and Corey J. Bohil. “Feedback Effects on Rule-Based and Information- Integration.”. Journal of Experimental Psychology: Learning, Memory, and Cognition. (Vol. 29, No. 4, 2003). pp. 650-662.7. Pfordresher, Peter Q. “Auditory Feedback in Music Performance: Evidence for a Dissociation of Sequencing and Timing.” Journal of Experimental Psychology. (Vol. 29, No. 4, 2003). pp. 949-964.8. Bush, H. Francis. The Use of Regression Models in Analytical Review Judgments: A Laboratory Experiment. University of Florida

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

three to five minutes. It was emphasized that there was no right or wrong actionsand questioning could and would happen after the testing time. Before placing the HMDs on theparticipants’ head the authors ensured that the interactive simulation was at the start screen (seeFigure 5). After testing and any Q&A, participants used their own mobile devices to scan a QRcode provided by the researchers, which delivered an electronic version of the SUS (see Figure7). Questions needed for descriptive statistics were asked prior to the 10 SUS items (see Figure 8and see Figure 9). 6 Figure 2. Visual Device Figure 6. Egocentric View of Interactive

Conference Session

First Year Computing Topics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Lauren E. Johnson, The University of North Carolina at Charlotte; Nabila A. Bousaba, University of North Carolina, Charlotte; James M. Conrad, University of North Carolina, Charlotte

Tagged Divisions

Computers in Education

Encourages Encourages Encourages Concrete 4 Logical 4 Logical 5 Logical 5 Logical Reasoning Reasoning Reasoning ReasoningNote: Developmentally Appropriate Practice (DAP)References [1] Jacob Lowell Bishop, Daytona Beach, and Biological Engineering. The Flipped Classroom : A Survey of the Research The Flipped Classrom : A Survey of the Research. 2013. [2] Developmentally Appropriate Practice in Early Childhood Programs Serving Children from Birth through Age 8. National Association for the Education of Young Children, 2009. [3] Carol Copple, Sue Bredekamp, and Janet Gonzalez-Mena. Q

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

mayhamper critical thought or effort. Our goal instead is to focus in on the specific errors that yieldexcessive struggle. In future work, we will build debugging activities focused on reducing theerrors found in this paper. We also hope to automatically detect these common errors and toprovide custom hints. Both approaches we hope will reduce student struggle.References[1] Mahmoud, Q. H.; Dobosiewicz, W. & Swayne, D. Making computer programming fun andaccessible Computer, IEEE, 2004, 37, 106-108.[2] Beaubouef, T. & Mason, J. Why the high attrition rate for computer science students: somethoughts and observations, ACM SIGCSE Bulletin, ACM, 2005, 37, 103-106.[3] Spohrer, J. C.; Soloway, E. & Pope, E. A goal/plan analysis of buggy Pascal

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

., Berdan, J., and Case M. H. ​TheAmerican Freshman: National norms fall 2012.​ Los Angeles: Higher Education ResearchInstitute, UCLA. 2012.27. Eagen, M.K., Stolzenberg, E.B., Zimmerman, H.B., Aragon, M.C., Whang Sayson, H., andRios-Aguilar C. ​The American Freshman: National norms fall 2016.​ Los Angeles: HigherEducation Research Institute, UCLA. 201728. Stephenson, A.L., Heckert, A., and Yerger, D.B. “College Choice and the University Brand:Exploring the Consumer Decision Framework.” Higher Education. 71: 489-503, 2016.29. Cox, R. D. “Complicating Conditions: Obstacles and Interruptions to Low-Income Students’College “Choices”.” The Journal of Higher Education,Volume 87, Number 1, January/February2016, 1-26. .30. Bates, A.K., & Bourke P. Q

Conference Session

Technical Session 5: Topics related to Engineering

Collection

2019 ASEE Annual Conference & Exposition

Authors

Paul Morrow Nissenson, California State Polytechnic University, Pomona; Nolan Tsuchiya P.E., California State Polytechnic University, Pomona; Mariappan Jawaharlal, California State Polytechnic University, Pomona; Angela C. Shih, California State Polytechnic University, Pomona

Tagged Divisions

Computers in Education

, Columbus, OH, USA, June 25-28,2017.[19] F. L. Wachs, J. L. Fuqua, P. M. Nissenson, A. C. Shih, M. P. Ramirez, L. Q. DaSilva, N. Nguyen, and C.Romero, “Successfully flipping a fluid mechanics course using video tutorials and active learning strategies:Implementation and Assessment,” in Proceedings of the 2018 American Society for Engineering Education AnnualConference & Exposition, Salt Lake City, UT, USA, June 24-27, 2018.[20] P. M. Nissenson, “Impact of a hybrid format on student performance and perceptions in an introductorycomputer programming course,” in Proceedings of the 2015 American Society for Engineering Education PacificSouthwest Section Conference, San Diego, CA, April 9-11, 2015.[21] P. M. Nissenson, “Impact of varying in-class

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

Big Before Massive: Scaling Up Participatory Learning Analytics. In Proceedings of the Fourth International Conference on Learning Analytics And Knowledge (pp. 93–97). New York, NY, USA: ACM. doi:10.1145/2567574.256762617 Steen, M. (2011). Tensions in human-centred design. CoDesign, 7(1), 45–60.18 Friesen, N. (2013). Learning Analytics: Readinessand Rewards. Canadian Journal of Learning & Technology, 39(4), 1–12.19 Patton, M. Q. (2002). Qualitative Research & Evaluation Methods: Thousand Oaks: Sage Publications.20 Robson, C. (2011). Real world research. West Sussex, UK: John Wiley & Sons.21 Creswell, J. W. (2009). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Thousand

Conference Session

Virtual Instruction and Collaboration

Collection

2015 ASEE Annual Conference & Exposition

Authors

Obasegun Tekena Ayodele, Obafemi Awolowo University; Lawrence O. Kehinde, Obafemi Awolowo University, Ile-Ife, Osun State; Olawale Babatunde Akinwale, Obafemi Awolowo University, Ile-Ife, Nigeria

Tagged Divisions

Computers in Education

- 1308, 1998.[6] V. Ramakrishnan, Y. Zhuang, S. Z. Hu, J. P. Chen and K. C. Tan, "Development of a Web- Based Control Experiment for a Coupled Tank," Proceedings of the American Control Conference, vol. 6, pp. 4409 - 4413, 2000.[7] C. Batur, Q. Ma, K. Larson and N. Kettenbauer, "Remote Tuning of a PID Position Controller via Internet," Proceedings of the American Control Conference, pp. 4403 - 4406, 2000.[8] F. M. Schaf and C. E. Pereira, "PID Controller Remote Tuning Experiment with Learning Environment Integration," Proceedings of 12th IFAC Symp. on Information Control Problems in Manufacturing, pp. 261- 266, 2006.[9] K. P. Ayodele, O. Akinwale, L. O. Kehinde, O. Osasona, E. O. B. Ajayi and O. O. Akinwunmi, "Advanced

Conference Session

Virtual Instruction and Collaboration

Collection

2015 ASEE Annual Conference & Exposition

Authors

Yizhe Chang, Stevens Institute of Technology; El-Sayed S. Aziz, Stevens Institute of Technology; Zhou Zhang, Stevens Institute of Technology; Mingshao Zhang, Southern Illinois University, Edwardsville; Sven K. Esche, Stevens Institute of Technology (School of Engineering and Science)

Tagged Divisions

Computers in Education

communications technologies for process automation—an experimental study," ISA transactions, vol. 51, no. 3, pp. 461-470, 2012.[12] Y. H. Elawady and A. S. Tolba, "general framework for remote laboratory access: A standarization point of view," in 2010 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2010.[13] A. Tekin, F. Ata and M. Gökbulut, "Remote control laboratory for DSP‐controlled induction motor drives," Computer Applications in Engineering Education, vol. 20, no. 4, pp. 702-712, 2012.[14] S. Hong, X. Zheng, B. Dalage, V. Kristiansen, Ø. Strøm, M. S. Shur, T. A. Fjeldly, J.-Q. Lu and T. Ytterdal, "Conducting laboratory experiments over the Internet," IEEE Transactions on Education, vol

Conference Session

Innovative Use of Technology II

Collection

2015 ASEE Annual Conference & Exposition

Authors

Matthew A. Verleger, Embry-Riddle Aeronautical University, Daytona Beach

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

: A Description of CPR. 2007, (2003).15. Gehringer, E. F. Electronic Peer Review and Peer Grading in Computer-Science Courses. Thirty-second SIGCSE technical symposium on Computer Science Education (2001).16. Liu, E. Z., Lin, S. S. J., Yuan, S. & Chiu, C. Web-Based Peer Review: The Learner as Both Adapter and Reviewer. IEEE Trans. Educ. 44, 246–251 (2001).17. Moreira, D. A. & Silva, E. Q. A Method to Increase Student Interaction Using Student Groups and Peer Review over the Internet. Educ. Inf. Technol. 8, 47–54 (2003).18. Ngu, A. H. H., Shepherd, J. & Magin, D. Engineering the ‘Peers’ System: The Development of a Computer-Assisted Approach to Peer Assessment. in Research and Development in

Conference Session

Computer-Based Tests, Problems, and Other Instructional Materials

Collection

2015 ASEE Annual Conference & Exposition

Authors

Matthew West, University of Illinois, Urbana-Champaign; Geoffrey L. Herman, University of Illinois, Urbana-Champaign; Craig Zilles, University of Illinois, Urbana-Champaign

Tagged Divisions

Computers in Education

this case asks the student to draw the vector vˆQ,guess as a guessto the true velocity direction vector vˆQ of point Q. The question will be graded ascorrect if the true velocity direction is within a certain tolerance δ, that is, if vˆQ − vˆQ,guess < δ. Other question formats within PrairieLearn include numericalanswers and multiple choice. On the right side of the question page, the student can seetheir current mastery score, as well as question-specific information including thecurrent recommendation level, the number of points that will be awarded if this questionis answered correctly, the number of points that will be deducted if this question isanswered incorrectly, and the number of times this question has already been attempted.The

Conference Session

Computers in Education Division Poster Session

Collection

2016 ASEE Annual Conference & Exposition

Authors

Joshua Levi Weese, Kansas State University; William H. Hsu, Kansas State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

number of repeated markers known headers (question, > (𝒕𝒉𝒓𝒆𝒔𝒉 − 𝟑) 2 ques, q, pre, post) Table 1. Heuristics for identifying the header row.In order to identify the boundaries of the payload within the data, we first start by identifying theheader row of the payload. The header row consists of column names of the various columnsavailable in the assessment scores. These could be student particulars such as name, identifier, orgender, or the particular assessment information, such as grade, question number, or aggregatescore. Our model consists a series of heuristics that score rows and columns for identifyingwhich row contains column headers, and which rows contain

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

instruction. Educational Technology Research and Development, 50(3), 43-59. doi:10.1007/BF02505024Mitola III, J., & Maguire Jr, G. Q. (1999). Cognitive radio: making software radios more personal. Personal Communications, IEEE, 6(4), 13-18.Noam, E. M. (1995). Taking the next step beyond spectrum auctions: open spectrum access. Communications Magazine, IEEE, 33(12), 66-73.Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Boston: Houghton Mifflin.Sohoul, M., et al., Next generation public safety networks: a spectrum sharing approach, IEEE Communications Magazine, Vol. 54, Iss. 3, March 2016.