control blocks (i.e., blocks contain statements ortuple G(V, E, s, t, e), where G’(V, E) is a simple digraph. The vertex set V = Vs *control statements) in M, respectively. The edge set E represents the flow of controls betweenstatement and control blocks in M, i.e., E ⊆ {Vs →Vc ∪ Vc →Vs} where d is a predicate de-t is a termination vertex represents the exit point of M. e contains one edge e1=s →V and acision with either True or false value. s is a start vertex represents the entry point of M andset of edges e2 ⊆ {v →t}. It indicates that a program only has one incoming edge and mayhave a set of e2 if it has multiple return statements.2.3 Construct
Might be Repaired through Inquiry Based Activities Gina C. Adam, Brian P. Self, James M. Widmann, Alexa Cobrun, Baheej N. SaoudIntroductionUndergraduate dynamics is often cited as one of the most difficult courses that engineeringstudents must take because many of the topics are in direct conflict with their perception of theworld around them. Newton‟s laws of motion are fundamental to the study of dynamics andstudents are particularly prone to having misconceptions drawn from their daily life interactionwith moving objects. An apple may fall from a tree to the ground faster than a leaf (althoughthey have the same acceleration in the absence of air resistance); two football players maycollide and the smaller
: Disagree, 3: Neutral, 4:Agree, 5: Strongly Agree). The total number of students who completed the survey was 17. Learning Outcomes: By the end of the lab, students should be able to: 1) Understand that a boost type DC-to-DC converter can produce an output voltage, which is higher than an input voltage. 1: S. D. 2: D 3: N 4: A 5: S. A. Avg. Avg.% 0 0 0 8 8 4.5 90 2) Comprehend that a DC-DC converter requires an oscillator/astable multivibrator (e.g. 555 Timer IC) to switch a transistor (2N2222) on and off. 1: S. D. 2: D 3: N 4: A 5: S. A. Avg. Avg.% 0 0
) Page 26.1305.1 c American Society for Engineering Education, 2015 122th ASEE Annual Conference and Exposition Seattle, Washington, USA, June 14-17, 2015 Zhang, Z., Zhang, M., Chang, Y., Esche, S. K. & Chassapis, C.Real-time 3D Reconstruction for Facilitating the Development of Game-based Virtual Laboratories Zhang, Z., Zhang, M., Chang, Y., Esche, S. K. & Chassapis, C.AbstractGame-based virtual laboratories (GBVLs) represent an important implementation of virtual realityand are often considered to be simulations of real or artificial environments. They are based
., & Goldfinch, T. (2012). EngineeringAcross Cultures. Retrieved fromhttp://aaeescholar.pbworks.com/w/file/fetch/61545770/Engineering%20Across%20Cultures%20%5Bdraft%20unformatted%5D.pdf; Williams, B., Figueiredo, J., & Trevelyan, J. (Eds.). (2014). Engineering Practice in a GlobalContext: Understanding the Technical and the Social. Leiden: CRC Press/Balkema.2 Jesiek, B. K., Qin, Z., Woo, S. E., Thompson, J. D., & Mazzurco, A. (2014). Global Engineering Competency inContext: Situations and Behaviors. Online Journal for Global Engineering Education, 8(1), p. 1.3 Lloyd, S., & Härtel, C. (2010). Intercultural competencies for culturally diverse work teams. Journal ofManagerial Psychology, 25(8), 845–875
, S. A. (1999). Developing 3D spatial visualization skills. Engineering Design Graphics Journal, 63(2), 21–32.[6] Olkun, S. (2003, April). Making connections: Improving spatial abilities with engineering drawing activities. International Journal of Mathematics Teaching and Learning, 1–10.[7] Sutton, K., & Williams, A. (2008). Developing a discipline-based measure of visualization. UniServe Science Proceedings, 115–20.[8] Martín-Dorta, N., Saorín, S. J., & Contero, M. (2008). Development of a fast remedial course to improve the spatial abilities of engineering students. Journal of Engineering Education, 97(4), 505–13.[9] Guay, R. B. (1977). Purdue Spatial Visualization Test: Rotations. West Lafayette, IN: Purdue Research
to show the basic retention numbers andthen allowed for further deeper exploration of student retention by showing the retention brokenout by many different subcategories of students.IntroductionLearning communities have a long history including the Meiklejohn “Experimental College” atthe University of Wisconsin in 1920. In the past couple of decades they have emerged as a wayto improve the retention for first year students.During the 1980’s and 1990’s there was a renewed interest in improving undergraduateeducation in the United States. The Boyer Commission in 1998 released its report, ReinventingUndergraduate Education: A Blueprint for America's Research Universities1, on the state ofundergraduate education. It recommended 10 ways to
’ actual work has been found poor.15In light of these issues, many researchers have defined engineering retention as simply thenumber of engineering graduates who report being employed in an engineering occupation.16-21By this measure, as of 2008, an estimated 1.2 million out of 2.5 million individuals withengineering as their highest degree were retained in engineering.22 Nonetheless, an obviouslimitation of counting engineers in this way is that, unlike using degree-job relatedness, “it willnot capture individuals using S&E knowledge, sometimes extensively, under [other]occupational titles”.21 In other words, defining engineering based on occupational classificationdoes not capture the full range of career paths that engineers take.14,23
activitieswith foam and wire models. Pre- and post- MRT scores of 62% and 81% respectively showincreasing gain of spatial visualization skill after training. In addition, it was found that thehands-on activities increase the students’ interest and awareness in descriptive geometry.7. References[1] Onyancha, R. M., Derov, M., and Kinsey, B. (2009). “Improvements in spatial ability as a result of targeted training and computer-aided design software use: Analyses of object geometries and rotation types.” J. Eng. Educ., Apr., 157–167.[2] Kadam, K., & Iyer, S. (2014). Improvement of Problem Solving Skills in Engineering Drawing Using Blender Based Mental Rotation Training. In Advanced Learning Technologies (ICALT), 2014 IEEE 14th
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
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
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
. 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
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
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
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
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
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
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
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
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
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
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
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
%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
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
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
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
9 10If for instance you were pursuing a mechanical engineering (ME) degree and through the courseof the Perseus II project you gained significant new ME relative knowledge and reinforcedinformation from classes throughout your UG career relative to ME that enhanced your abilityto apply ME knowledge you would select something on the higher end of the spectrum torepresent what you feel is a significant educational impact. ii. In a discipline/s of your Perseus II teammates : 1 2 3 4 5 6 7 8 9 10If for instance you were pursuing a mechanical engineering (ME) degree and through the courseof the Perseus II project you gained significant new naval engineering relative knowledge, forexample the knowledge and ability to assess and design
(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