Conference Session

Curriculum Guidelines for Undergraduate Degree Programs in Computer Engineering: CE2016 Update

Collection

2015 ASEE Annual Conference & Exposition

Authors

Eric Alan Durant, Milwaukee School of Engineering; John Impagliazzo, Hofstra University; Susan E. Conry, Clarkson University; Robert B. Reese, Mississippi State University; Herman Lam, University of Florida; Victor P. Nelson, Auburn University; Joseph L.A. Hughes, Georgia Institute of Technology

Tagged Divisions

Electrical and Computer

26.336.2Expected outcomes and future workThe steering committee will incorporate the feedback gathered at this special session into thenext draft of the guidelines document, which will be available for community review.JustificationThe special session format will meet the dual goals of gathering knowledge from the computerengineering community and sharing the results of the steering committee's work in progress. It isimportant that IEEE-CS and ACM keep the curricular guidance documents current. Therefore,audience involvement for this presentation is essential and ASEE provides an optimal venue forthis important event.References[1] J. Impagliazzo, S. Conry, E. Durant, A. McGettrick, T. Wilson, and M. Thornton, “Special session: computer engineering

Collection

2015 Northeast Section Meeting

Authors

Md. M. Rashid; Mahbub Ahmed

2015 ASEE Northeast Section ConferenceHow to Make Our Syllabus Mor e Effective to Student’ s L ear ning Exper ience By Md. M. Rashid, P.E.1, and Mahbub Ahmed2AbstractSyllabus provides basic course related information to students, and creates a first impressionabout an instructor and his or her attitudes toward teaching. A syllabus is seen as an agreementthat serves as a “ virtual handshake” between an instructor and students regarding mutual rightsand responsibilities. Research indicates that a traditional syllabus contains checklists of itemsthat provide basic information such as course goals, course requirements, grading, schedule andso on. The existing literature contains many of

Conference Session

Faculty Development II

Collection

2015 ASEE Annual Conference & Exposition

Authors

Louis Nadelson, Utah State University; Kimberly Kristine Hardy, Boise State University; Dazhi Yang, Boise State University

Tagged Divisions

Educational Research and Methods

Paper ID #13574I Like Therefore I Learn! Engineering Student Motivation to Learn in TheirLeast and Most Favorite CoursesDr. Louis Nadelson, Utah State University Louis S. Nadelson is an associate professor and lead researcher for the Center for the School of the Future in the Emma Eccles Jones College of Education and Human Services at Utah State University. He has a BS from Colorado State University, a BA from the Evergreen State College, a MEd from Western Washington University, and a PhD in educational psychology from UNLV. His scholarly interests include all areas of STEM teaching and learning, inservice and

Collection

2015 Spring ASEE Middle Atlantic Section Conference

Authors

Paul B. Crilly; Richard Hartnett

 and relative path length distances of 0,  cos  , 2cos ... Note that the speakers are fed inparallel from the same electrical source. Because the speed of sound is significantly slower than theelectrical signals, the electrical separation is insignificant. Figure 1. Speaker array that shows relative path length differences to the user of 0, 0,  cos  , 2cos ... for speaker #s 0, 1, 2… Let’s first consider the case where an individual is standing directly in front of the array (i.e. the angleof arrival of   900 , and the radiated signal is a single tone. Each speaker component would arrive to theindividual at the same time because the propagation paths are nearly all of equal distance and the sum ofthe speaker outputs is an

Collection

2015 Northeast Section Meeting

Authors

Yu Wang; Farrukh Zia; Ohbong Kwon; Xiaohai Li

# 1003712). Digilent Inc provided the electronic components.References1 L. H. Jamieson and J. R. Lohmann, “ Innovation with impact: Creating a culture for scholarly and systematic innovation in engineering education,” Amer. Soc. Eng., Washington, DC, USA, 2012.2 J.E. Froyd, M. Borrego, S. Cutler, C. Henderson, and M. J. Prince, “ Estimates of Use of Research-Based Instructional Strategies in Core Electrical or Computer Engineering Courses,” IEEE Transactions on Education, Volume: 56 , Issue: 4, 2013 , Page(s): 393 - 3993 http://www.abet.org/4 A. Steinkogler, P. Leibl, A. Seemuller, “ Education for Collaboration,” 2012 the 18th International Conference on Engineering, Technology and Innovation (ICE), June 2012, Page(s): 1 - 95

Conference Session

Engineering Ethics Division Technical Session 4

Collection

2015 ASEE Annual Conference & Exposition

Authors

Edwin R. Schmeckpeper P.E., Norwich University; Ashley Ater Kranov, Washington State University; Steven W. Beyerlein, University of Idaho, Moscow; Patrick D. Pedrow P.E., Washington State University; Jay Patrick McCormack, Rose-Hulman Institute of Technology

Tagged Divisions

Engineering Ethics

students discussing a complex, real-worldscenario that includes current, multi-faceted, multidisciplinary engineering issues. Before the 30-40 minute long discussion begins, student participants all read a short scenario that presentssome technical and non-technical aspects of the topic.EPSA scenarios address topics such as impacts of power generation, resource utilization, andnatural or man-made disasters. Examples of the scenarios used in the EPSA are presented inAppendix A.Prior to commencing their discussion, the students are given a set of leading questions that serveto prompt and focus the discussion. These questions ask the students to determine the mostimportant problem/s and to discuss stakeholders, impacts, unknowns, and possible

Conference Session

International Division Technical Session 5

Collection

2015 ASEE Annual Conference & Exposition

Authors

Cheryl Matherly, The University of Tulsa; Sarah R. Phillips, Rice University ; Cody A. Chapman, University of Tulsa

Tagged Topics

Diversity

Tagged Divisions

International

. student in Industrial/Organizational Psychology at the University of Tulsa. Page 26.1544.1 c American Society for Engineering Education, 2015 The Impact of International Research Experiences on Undergraduate Learning1.0 IntroductionThis paper compares the learning outcomes for students participating in domestic andinternational research experiences. This question is important given that science andengineering (S&E) research is increasingly collaborative and international in scope withresearch teams comprised of faculty and student researchers in multiple

Conference Session

Mathematics Division Technical Session 4

Collection

2015 ASEE Annual Conference & Exposition

Authors

Peter Goldsmith P.Eng., University of Calgary

Tagged Divisions

Mathematics

operator, applied in postfix notation. To obtain the transferfunction of this system, one assumes that the initial conditions of the input and output signals arezero and applies the Laplace transform to both sides of this differential equation to giveU(s)a(s) = Y (s)b(s), where U(s) and Y (s) are the Laplace transforms of u(t) and y(t),respectively, and s is a complex variable. This yields the transfer function Y (s)/U(s) = a(s)/b(s),which may be multiplied by a particular transformed input U(s) to find the correspondingtransformed output Y (s).Transfer functions are appealing in that they model dynamic systems as rational functions that canbe added, multiplied, and inverted to reduce networks of interconnected subsystems. However,the educational

Conference Session

Instrumentation Division Technical Session 1

Collection

2015 ASEE Annual Conference & Exposition

Authors

Mingshao Zhang, Stevens Institute of Technology; Zhou Zhang, Stevens Institute of Technology; Yizhe Chang, Stevens Institute of Technology (School of Engineering and Science); Sven K. Esche, Stevens Institute of Technology (School of Engineering and Science)

Tagged Topics

Diversity

Tagged Divisions

Instrumentation

Techniques,” AK Peters, Ltd.[8] Nistér, D., Naroditsky, O. & Bergen, J., 2006, “Visual Odometry for Ground Vehicle Applications,” Journal of Field Robotics, 23(1) 3-20.[9] DeSouza, G. N. & Kak, A. C., 2002, “Vision for mobile robot navigation: A survey,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(2) 237-267.[10] Zhang, M., Zhang, Z., Esche, S. K. & Chassapis, C., 2013, “Universal Range Data Acquisition for Educational Laboratories Using Microsoft Kinect,” Proceedings of the 2013 ASEE Annual Conference & Exposition, Atlanta, Georgia, USA, June 23-26.[11] Zhang, M., Zhang, Z., Aziz, E.-S., Esche, S. K. & Chassapis, C., 2013, “Kinect-Based Universal Range Sensor for Laboratory

Conference Session

Identity and Engineering: ERM Roundtable

Collection

2015 ASEE Annual Conference & Exposition

Authors

Allison Godwin, Purdue University, West Lafayette; Gerhard Sonnert, Science Education Department, Harvard-Smithsonian Center for Astrophysics; Philip Michael Sadler, Harvard Smithsonian Center for Astrophysics

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

things in nature (e.g., butterflies, rocks) Page 26.1552.5 star Observed or studied stars and other astronomical objects group Participated in science groups/clubs/camps comp Participated in science/math competition(s) nonfic Read/Watched non-fiction science Abbreviation Reported Interest/Experience scifi Read/Watched science fiction game Played computer/video games prog Wrote computer programs or designed web pages talk Talked with friends or family about scienceResults and

Conference Session

Project-based Learning in ET Programs

Collection

2015 ASEE Annual Conference & Exposition

Authors

Cyril B Okhio, Kennesaw State University; Florian Misoc, Kennesaw State University; Austin B. Asgill, Southern Polytechnic College of Engr and Engr Tech

Tagged Topics

Diversity

Tagged Divisions

Engineering Technology

scientists and engineersfor the coming generations. Page 26.945.3IntroductionBentley and Kyvik, 2012 found in their studies that faculty members spend more than 50hours of their time every week on the job, out of which only 20 hours are spent doing theactual teaching. Depending on the faculty status, either Tenure-Track or Tenured, or even asa function of the nature of the institution in which one find himself/herself, research orientedor purely teaching institutions as the case may be, these hours can be much higher (Bentley,P.J., and S. Kyvik, S.).It would be needed to inculcate time-efficient teaching practices into these new courses fromhere-on in order to give the students the best and facilitate their learning in

Collection

2015 ASEE Zone 3 Conference

Authors

Stuart W. Baur; R. Joe Stanley

all 50 states of the U.S. Missouri S&T is thestate of Missouri school for providing teacher training, professional development and programinformation for counselors and administrators in the Midwest region. PLTW provides programsto more than 5,000 elementary, middle, and high schools in all 50 states and the District ofColumbia1. As a rapidly growing program, the Missouri PLTW network currently has 238programs in 198 high schools and middle schools [2]. Project Lead The Way (PLTW) [1]currently has PLTW Launch (K-5), PLTW Gateway (Middle), PLTW Engineering (HighSchool), PLTW Biomedical Science (High School) and PLTW Computer Science (K-12)programs [1].There have been several studies comparing academic performance of PLTW students with non

Conference Session

Division Experimentation & Lab-oriented Studies: Mechanical Engineering and Control

Collection

2015 ASEE Annual Conference & Exposition

Authors

John E Matsson, Oral Roberts University; Justice Boisselle, Oral Roberts University

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

from an open valve connected at one Page 26.107.4end of the tube so that the two fluids did not mix. Orange dye was used to color the bottom layerof salt water and blue dye was used to color the top fresh water layer in order to create a visibleinterface between the two fluids. The tube was slowly tilted off the horizontal to an 8° tilt angle in3.5 s. Waves developed after the tilt angle had been set and the growth of the waves is visible inFigure 3. When the tube has reached the 8° tilt angle, we see that the displacement of theinterface between the two fluids is most evident at both ends of the tube and that the interface inthe middle section

Conference Session

Aerospace Division Technical Session 1

Collection

2015 ASEE Annual Conference & Exposition

Authors

Elizabeth Scott Fleming, Georgia Institute of Technology; Amy Pritchett, Georgia Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Aerospace

Davis S. Lewis Associate Professor in the Georgia Tech School of Aerospace Engineering Page 26.1129.1 c American Society for Engineering Education, 2015 Managing and Exchanging Knowledge Underlying Aerospace Engineering Design DecisionsIntroductionThe engineering design process is a complex, iterative process through which individuals andteams solve ill-defined, multidisciplinary problems by integrating domain-based technicalknowledge.1,2 Aerospace engineering integrates technical components from many differentdisciplines, such as aerodynamics, combustion, avionics

Collection

2015 ASEE Zone 3 Conference

Authors

James R. Rowland

-disciplinary engineering education collaborations”, Journal of Engineering Education, 2008, 97(2), pp. 123-134.[4] J. R. Hackman, “The design of work teams”, Handbook of Organizational Behavior, J. W. Lorsch (ed), Prentice-Hall, 1987.[5] L. D. McNair, C. Newswander, E. Coupey, E. Dorsa,, T. Martin, and M. P. Paretti, “Self-organizing units to promote interdisciplinary teaming in a course for pervasive computer design”, Proc., ASEE Annual Conference, Austin, TX, 2009.[6] L. J. Shuman M. Besterfileld, and J. McGourty, “The ABET professional skills—Can they be taught?”, Journal of Engineering Education, 2005, 94(1), pp. 41-55.[7] C. R. Zafft, S. G. Adams, and G. S. Matkin, “Measuring leadership in self-managed teams using the competing

Collection

2015 Northeast Section Meeting

Authors

Gazi Murat Duman; Elif Kongar

. In supporting Paradiand Zhu14, Lau 12 discussed that based on DEA’ s simplicity of use and flexibility in datarequirement, it has become a popular tool 12. In his study, Mostafa 15 explained that the DEAtechnique is an adequate tool for benchmarking, since it allows the identification of a group ofefficient DMUs for each non-efficient one 15. Furthermore, Lee and Kim 16 mentioned that thegreatest merit of DEA is that it provides benchmarking guidelines for inefficient DMUs. For each 2 © American Society for Engineering Education, 2015 2015 ASEE Northeast Section Conferenceinefficient DMU

Conference Session

NSF Grantees’ Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Senay Purzer, Purdue University, West Lafayette; Robin Adams, Purdue University, West Lafayette; Molly H Goldstein, Purdue University, West Lafayette; K. Anna Douglas, Purdue University, West Lafayette

Tagged Topics

NSF Grantees Poster Session

continue to be refined as needed.AcknowledgementThis work presented in this manuscript is based upon work supported by the National ScienceFoundation under Grant DUE #1348547 and DUE #1348530. Any opinions, findings, andconclusions or recommendations expressed in this paper, however, are those of the authors anddo not necessarily reflect the views of the NSF.ReferencesBaker, R. S. J. D., Corbett, A. T., & Wagner, A. Z. (2006). Human Classification of Low-Fidelity Replays of Student Actions. Paper presented at the The Educational Data Mining Workshop at the 8th International Conference on Intelligent Tutoring Systems.Goldstein, M. H., Purzer, S., Adams, R. S., Xie, C. (2015). “High School Students’ Ability to Balance

Conference Session

Reflective & Critical Pedagogies

Collection

2015 ASEE Annual Conference & Exposition

Authors

Katarina Larsen, KTH - Royal Institute of Technology; Johan Gustav Gärdebo, KTH Royal Institute of Technology

Tagged Divisions

Liberal Education/Engineering & Society

and developing arguments in writing. Thisstudy draws on experiences from changing a course previously relying onmandatory attendance towards challenging and encouraging the students‟contribution to each other‟s learning. Page 26.1586.21. Introduction: Tools For TransformationImagine coming into a classroom, an auditorium housing 150 students. After settingup your computer and PowerPoint-presentation, the bustle quiets down and you beginby welcoming the crowd to your country and university. Though they come from allover the world,from different societies, cultures and schooling, thestudents have twothings in common: all of them are engineering students, and; none of

Conference Session

Concurrent Paper Tracks - Session II

Collection

2015 ASEE International Forum

Authors

Jennifer Deboer, Purdue University, West Lafayette; Shreyas Vathul Subramanian, Purdue University; Mushtak Al-Atabi, Taylor's University; David A. Delaine, Universidade de São Paulo and IFEES; josé aquiles grimoni jabg P.E., polythecnic schoool university of são paulo

Tagged Topics

International Forum

Editor-in- Chief of Journal of Engineering Science & Technology. Professor Al-Atabi published two books, ”Think Like an Engineer” and ”Driving Performance” and he has numerous research publications, awards and honours. He is a Co-Founder of the Global Challenges Alliance, Fellow of the Institution of Mechanical Engineers (FIMechE) and a member of the Global Engineering Deans Council. Professor Al-Atabi is an innovative educator; he pioneered the CDIO (Conceive, Design, Implement, Operate) and delivered the first MOOC (Massive Open Online Course) in Malaysia. He trains executives from Multinational Corporations including banks and energy companies.Dr. David A. Delaine, Universidade de S˜ao Paulo and IFEES

Conference Session

Engineering Physics & Physics Division Technical Session 2

Collection

2015 ASEE Annual Conference & Exposition

Authors

Robert A. Ross, University of Detroit Mercy

Tagged Divisions

Engineering Physics & Physics

direction? (f) Which object (or objects) was at rest for some period of time? 2 2 2 A B C 1 1 1 v (m/s) v (m/s) v (m/s) 0 0 0 0 1 2 0

Conference Session

NSF Grantees’ Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Milo Koretsky, Oregon State University; John L. Falconer, University of Colorado, Boulder; David L. Silverstein P.E., University of Kentucky; Bill Jay Brooks, Oregon State University; Debra May Friedrichsen; Christina Smith, Oregon State University

Tagged Topics

NSF Grantees Poster Session

National Science Foundation. The authors also acknowledge all of thefaculty that have contributed questions, comments, other instructional materials, and time intousing and improving the AIChE Concept Warehouse.References1. Halloun, I. and Hestenes, D. (1985). The initial knowledge state of college physics students. American Journal of Physics 53, 1043.2. Hestenes, David, Wells, Malcolm, and Swackhamer, Greg. (2002). Force Concept Inventory. The Physics Teacher, 30,141.3. Mazur, E. (1997) Peer instruction, Prentice Hall, Upper Saddle River, NJ.4. Evans, D. L., Gray, G. L., Krause, S., Martin, J., Midkiff, C., Notaros, B. M., et al. (2003). Progress on concept inventory assessment tools. Proceedings of the 33rd Annual ASEE/IEEE Frontiers

Conference Session

NSF Grantees’ Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Conrad Tucker, Pennsylvania State University, University Park; Soundar Kumara, Pennsylvania State University, University Park

Tagged Topics

NSF Grantees Poster Session

0.999 0.999 FunctionB Page 26.178.9 Weighted Avg. 0.999 0.001 0.999 0.999 0.999 0.999 === Confusion Matrix === a b 16. Lockerd, A. & Breazeal, C. Tutelage and socially guided robot learning. in 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2004. (IROS 2004). Proceedings 4, 3475–3480 vol.4 (2004).17. Konidaris, G., Kuindersma, S., Grupen, R. & Barto, A. Robot learning from demonstration by constructing skill trees. Int. J. Robot. Res. 31, 360–375 (2012).18. Ammar, B., Rokbani, N. & Alimi, A. M. Learning system for standing human detection. in Computer Science and Automation

Conference Session

NSF Grantees’ Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Alexander Vincent Struck Jannini, Rowan University; C. Stewart Slater, Rowan University

Tagged Topics

NSF Grantees Poster Session

%20Org%20Seq %202012-08.pdf. [Accessed February 19 2014].[8] Stevens Institute of Technology, "Areas of Concentration," Department of Mechanical Engineering, 2014. [Online]. Available: http://www.stevens.edu/ses/me/undergrad/concentrations. [Accessed 24 April 2014].[9] K. Kuriyan, A. C. Catlin and G. V. Reklaitis, "PharmaHUB: Builing a Virtual Organization for Pharmaceutical Engineering and Science," Journal of Pharmaceutical Innovation, vol. 4, no. 2, pp. 81-89, 2009.[10] L. Simon, K. Kanneganti and K. S. Kim, "Drug Transport and Pharmacokinetics for Chemical Engineers," Chemical Engineering Education, vol. XLIV, no. 4, pp. 262-266, 2010.[11] M. R. Prausnitz and A. S. Bommarius, "Drug Design, Development

Conference Session

Topics in Computing and Information Technologies II

Collection

2015 ASEE Annual Conference & Exposition

Authors

Regina Melo Silveira P.E., Universidade de São Paulo; Itana Stiubiener Mrs, Universidade Federal do ABC - UFABC; Wilson V Ruggiero, LARC-EPUSP

Tagged Divisions

Computing & Information Technology

Paper ID #11364Is a video used as a didactic content effective in the learning process?Dr. Regina Melo Silveira P.E., Universidade de S˜ao Paulo Regina Melo Silveira is Assistant Professor and researcher at the Department of Computer and Digital Systems Engineering (PCS) at Escola Polit´ecnica - Universidade de S˜ao Paulo (EPUSP), since February 2002. Associated to LARC (Laboratory of Computer Architecture and Networks) she works in the Net- working area since 1995. She participated in relevants Projects like Poli-Virtual, Multimedia on Demand System, RMAV-SP (S˜ao Paulo Internet 2), Tidia-Ae, KyaTera, and Interactive TV

Conference Session

First-year Programs Division Technical Session 6: Hands-on Projects and Spatial Skills

Collection

2015 ASEE Annual Conference & Exposition

Authors

Sarah Jane Grigg, Clemson University; Lisa Benson, Clemson University

Tagged Divisions

First-Year Programs

accuracy (CE) beforecommunicating the solution (S). Finally, reflect on the process through self-assessment (S).Data Collection MethodsFaculty were not required to use PROCESS in their classes and the level of integration of thePROCESS problem solving structure into classroom lectures varied across instructors. Beforethe semester started, faculty were provided with Figure 1, the PROCESS rubric, and acomprehensive user guide complete with code definitions and grading examples to help themdetermine whether they wanted to utilize PROCESS in their classroom instruction as a problemsolving structure. In addition, all course sections were assigned a graduate teaching assistant thatparticipated in a four-hour interactive training session on grading with

Collection

2015 ASEE Zone 3 Conference

Authors

Semih G. Yildirim; Stuart W. Baur

-based learning, architectural engineering, building technology, hands-onlearningIntroductionHands-on learning experience is highly desired in architectural engineering curriculum tomaintain longer retention of desired knowledge. To create an active learning environment istargeted and an educational model is developed for this purpose1. Building components’ designis the main application field of this model, since competency on this subject is necessary forarchitectural engineering students which is based on architectural materials and methods ofbuilding construction. The educational model has been already formalized2 and improved3 inMissouri S&T Architectural Engineering Program. The components of the educational modelcan be summarized in

Conference Session

New Engineering Educators Division Technical Session 3

Collection

2015 ASEE Annual Conference & Exposition

Authors

Madeleine Arvold, Seattle Pacific University; Steven David Mow, Seattle Pacific University; Zachary W. Cook, Seattle Pacific University; Natalie Goode, Seattle Pacific University; Caitlin H. Wasilewski, Seattle Pacific University; Rida Y. Al-Hawaj, Seattle Pacific University ; Melani Plett, Seattle Pacific University

Tagged Topics

Diversity

Tagged Divisions

New Engineering Educators

reporton the role of oral communication in the workplace. Communication Education, 52, 1-16.2. Borrego, M., Karlin, J., McNair, L. D., & Beddoes, K. (2013, October). Team effectiveness theory from industrialand organizational psychology applied to engineering student project teams: A research review. Journal ofEngineering Education, 102(4), 472-512.3. Prescott, D., El-Sakran, T., Albasha, L., Aloul, F., & Al-Assaf, Y. (2012, Spring). Teambuilding, innovation andthe engineering communication interface. American Journal of Engineering Education, 3(1), 29-40.4. Dannels, D. P., Anson, C. M., Bullard, L., & Peretti, S. (2003, January). Challenges in learning communicationskills in chemical engineering. Communication Education, 52, 50-56.5

Collection

2015 Spring ASEE Middle Atlantic Section Conference

Authors

Kara Vance; Abdullah Konak; Sadan Kulturel-Konak; Gul E. Okudan Kremer; Ivan Esparragoza

, findings, conclusions, and/or recommendationsexpressed in this paper are those of the authors and do not necessarily reflect the NSF’s views.Spring 2015 Mid-Atlantic ASEE Conference, April 10-11, 2015 Villanova UniversityVI. References1. Driskell, J. E. & Salas, E. (1992) Collective behavior and team performance. Human Factors: The Journal of the Human Factors and Ergonomics Society, 34(3), 277-288.2. Alexander, P. A., Murphy, K. P., Woods, B. S., et al. (1997) College instruction and concomitant change in students’ knowledge, interest, and strategy use: A study of domain learning. Contemporary Educational Psychology 22, 125-146.3. Kulturel-Konak, S., Konak, A., Okudan Kremer, G., & Esparragoza, I. (2014

Collection

2015 Northeast Section Meeting

Authors

Prerana Pal Karmokar; Shwetha Krishna Pondicherry; Elif Kongar

turning them into meaningful information to be used forproject management software selection problem. The collected data consists of a number ofvariables, objectives, quantitative, and conflicting in nature. The study predominantly focuses ofthe literature review of AHP and proposes an approach to the use of AHP for selecting projectmanagement software.KeywordsAnalytical Hierarchy Process (AHP), analytical hierarchy risk, decision making, projectmanagement, project management software.IntroductionManaging projects is a very challenging task and even more challenging is completing projectswithin budget and on time as well as meeting the industry’ s quality standards. Projectmanagement (PM) is clearly a risky endeavor with too many projects being

Conference Session

Examining Social Ties and Networks

Collection

2015 ASEE Annual Conference & Exposition

Authors

Jonathan C. Hilpert, Georgia Southern University; Rebecca Holliday, Georgia Southern University

Tagged Divisions

Educational Research and Methods

(1955) Hakimi (1962)). Let S = (d1 , · · · , dn ) be a finite list ofnonnegative integers that is nonincreasing. List S is graphic if and only if the finitelist S = (d2 − 1, d3 − 1, · · · , dd1 +1 − 1, dd1 +2 , · · · dn ) has nonnegative integers and isgraphic. The algorithm then follows a recursive method where the theorem is used withS = S until S = {0}. Generating Random Graphs Once we determined the classroom networks in question were graphical, we wantedto generate a random graph from the degree sequence that was likely to representthe network structure of the data. The inspiration came from a popular methodin statistics called bootstrapping. Using Havel-Hakimi Algorithm, a program waswritten in python and