Conference Session

Technical Session 1: Issues Impacting Students Learning How to Program

Collection

2019 ASEE Annual Conference & Exposition

Authors

S. Cyrus Rezvanifar, University of Akron

Tagged Divisions

Computers in Education

Paper ID #27559Programming Without Computer: Revisiting a Traditional Method to Im-prove Students’ Learning Experience in Computer ProgrammingMr. S. Cyrus Rezvanifar, University of Akron S. Cyrus Rezvanifar is a Ph.D. student in Biomedical Engineering at The University of Akron. He has also served as a research assistant in Cleveland Clinic Akron General since 2016, where he conducts research on biomechanics of human knee joint and patellar instability. In 2016, he received a doctoral teaching fellowship from the College of Engineering at The University of Akron. Through this teaching program, he has served as an

Conference Session

Technical Session 11: Topics related to Computer Science

Collection

2019 ASEE Annual Conference & Exposition

Authors

Leila Zahedi, Florida International University; Monique S Ross, Florida International University; Jasmine Skye Batten, Florida International University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

science. Her current research focuses on gamification in online-learning and scaling innovative engineering pedagogies to suit computer science classes.Dr. Monique S Ross, Florida International University Monique Ross, Assistant Professor in the School of Computing and Information Science and STEM Transformation Institute, earned a doctoral degree in Engineering Education from Purdue University. She has a Bachelor’s degree in Computer Engineering from Elizabethtown College, a Master’s degree in Computer Science and Software Engineering from Auburn University, eleven years of experience in industry as a software engineer. Her research focus is on broadening participation in engineering and computing through the

Conference Session

Technical Session 8: Virtual Reality

Collection

2019 ASEE Annual Conference & Exposition

Authors

Maryam Mirabolghasemi, Mississippi State University; Michael Andre Hamilton; Parker Jones, Mississippi State University; David Cole, Mississippi State University; Emily S. Wall , Mississippi State University; Raed Jaradat, Mississippi State University

Tagged Divisions

Computers in Education

coming to Mississippi State, he had a 34 year career in engineering and leadership positions with Shell Oil Company. During that time, he spent time in drilling, completion, and producing operations, research and technology, and as discipline leader for Production Engineering for Shell’s Western Hemisphere. Mr. Cole has a B.S. in Mechanical Engineering from Mississippi State and an M.S. in Petroleum Engi- neering from Louisiana State University. He is a registered professional Petroleum Engineer (Louisiana) and a Life Member of the Society of Petroleum Engineers.Mrs. Emily S. Wall , Mississippi State University Emily Wall is a Research Engineer for the Center for Advanced Vehicular Systems Extension (CAVS-E). She

Conference Session

Technical Session 9:Topics related to STEM

Collection

2019 ASEE Annual Conference & Exposition

Authors

Donald Joseph Beyette, Texas A&M University; Michael S. Rugh, Texas A&M University; Jason Lin, Texas A&M University; Xing Wang, Texas A&M University; Zelun Wang, Texas A&M University; Jyh C. Liu, Texas A&M University; Robert M. Capraro, Aggie STEM @ Texas A&M University

Tagged Divisions

Computers in Education

Paper ID #25558DIME: A Dynamic Interactive Mathematical Expression Tool for STEM Ed-ucationMr. Donald Joseph Beyette, Texas A&M University Donald Beyette is a master thesis student at Texas A&M University studying machine learning, graph theory, and GPS navigation. Current research projects focus on content analysis, systems to model users learning behavior, hypersonic navigation, and GPS antispoofing techniques.Mr. Michael S. Rugh, Texas A&M University Michael S Rugh is a second year PhD student focusing on mathematics education within the Curriculum and Instruction PhD track in the Department of Teaching

Conference Session

Technical Session 5: Topics related to Engineering

Collection

2019 ASEE Annual Conference & Exposition

Authors

Zhou Zhang, New York City College of Technology; Andy Zhang, New York City College 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

Paper ID #24774Project-based Robotics Courses for the Students of Mechanical EngineeringTechnologyDr. Zhou Zhang, New York City College of Technology Assistant Professor, Ph.D. Department of Mechanical Engineering Technology, CUNY New York City College of Technology, 186 Jay St, Brooklyn, NY 11201. Email: Zhzhang@citytech.cuny.eduDr. Andy Zhang, New York City College of Technology Dr. Andy S. Zhang received his Ph.D. from the City University of New York in 1995. He is currently the program director of a mechatronics project in the New York City College of Technology/CUNY. For the past 15 years, Dr. Zhang has been

Conference Session

Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Kenie R. Moses

Tagged Divisions

Computers in Education

, number of engineering courses taken and studentclassification (freshman, sophomore, etc.) in addition to student demographics and engineeringmajor. Analyzing these connections, if any, may be of great interest to researchers and practitionersattempting to affect positive change in engineering students’ affective domains.References[1] Y. Tang, R. University, S. Shetty, T. S. University, X. Chen, and R. University, “Interactive VirtualReality Games to Teaching Circuit Analysis with Metacognitive and Problem-Solving Strategies,”presented at the ASEE Annual Conference & Exposition, Vancouver, BC, June,, 2011.[2] H. Khalil and M. Ebner, “MOOCs Completion Rates and Possible Methods to Improve Retention - ALiterature Review,” In Proceedings of

Conference Session

Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Kenie R. Moses, Educational Technology Research & Assessment

Tagged Divisions

Computers in Education

, K. Reitmeyer, E. Tseytlin, and R. S. Crowley,“Metacognitive scaffolds improve self-judgments of accuracy in a medical intelligent tutoringsystem,” Instructional Science, vol. 42, no. 2, pp. 159–181, Mar. 2014.[6] H. M. Ghadirli and M. Rastgarpour, “A web-based adaptive and intelligent tutor by expert systems,”Advances in Computing and Information Technology, pp. 87–95, 2013.[7] J. A. González-Calero, D. Arnau, L. Puig, and M. Arevalillo-Herráez, “Intensive scaffolding in anintelligent tutoring system for the learning of algebraic word problem solving: Intensive scaffolding in anITS for the learning of AWPS,” British Journal of Educational Technology, vol. 46, no. 6, pp. 1189–1200,Nov. 2015.[8] M. A. Ruiz-Primo and E. M. Furtak, “Exploring

Conference Session

Technical Session 1: Issues Impacting Students Learning How to Program

Collection

2019 ASEE Annual Conference & Exposition

Authors

A.T.M. Golam Bari, University of South Florida; Alessio Gaspar, University of South Florida; R. Paul Wiegand, University of Central Florida, School of Modeling, Simulation, & Training; Dmytro Vitel; Kok Cheng Tan; Stephen John Kozakoff, University of South Florida

Tagged Divisions

Computers in Education

displays “Welcome to Java”p u b l i c c l a s s Welcome { p u b l i c s t a t i c v o i d main ( S t r i n g [ ] a r g s ) { System . o u t . p r i n t l n ( ” Welcome t o J a v a ! ” ) ; }}After applying the above transforms in program 5 and shuffling the valid and invalid line ofcodes, we get the following Parsons puzzle. System . o u t . p r i n t l n ( ” Welcome t o J a v a ! ” ) } }p u b l i c C l a s s Welcome { p u b l i c s t a t i c v o i d main ( S t r i n g [ ] a r g s ) {p u b l i c c l a s s Welcome { System . o u t . p r i n t l n ( ” Welcome t o J a v a ! ” ) ;p u b l i c s t a t i c c h a r main ( S t r i n g [ ] a r g s ) {Similarly, P P2 is mapped into a different Parsons puzzle, using the same mapping process

Conference Session

Technical Session 12: Teaching and Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Nabeel Alzahrani, University of California, Riverside; Frank Vahid, University of California, Riverside; Alex Daniel Edgcomb, zyBooks, A Wiley Brand

Tagged Divisions

Computers in Education

, probably to see the impact on output. We attribute this attempt to the incorrect left-side variable error. ● 1 min later, the student adds a cout of r as well, probably to make sure r's value is as expected. We again attribute this attempt to the left-side error. ● 1 min later, the student changes the left-side to area. We attribute to the left-side error, which is now fixed. ● In 5 submissions over the next 9 minutes, the student tries changing line 2's expression to PI * 2 * r, then 2 * r * PI, then PI * (r * 2), then PI * r * 2.0, and finally PI * r * r.Humans can recognize what the errors were, and can attribute 3 attempts and 3 minutes to solvethe left-side error and 5 attempts and 9 minutes to the squaring error. Most

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

Computer Science (CS) and Integrated Science andTechnology (ISAT) departments who provided critical insight regarding the design of the coursewhich could address the issue of mobile technology development for social good.9. References[1]. Burd, B., Barros, J. a. P., Johnson, C., Kurkovsky, S., Rosenbloom, A., and Tillman, N.“Educating for mobile 
computing: Addressing the new challenges”. in ITiCSE-WGR 12, 2012,pp. 51-63[2]. Blumenfeld, P.C., Soloway, E., Marx, R.W., Krajcik, J.S., Guzdial, M., and Palincsar, A.“Motivating project-based learning: Sustaining the doing, supporting the learning”, EducationalPsychologist, Vol. 26 No. 3, 1991, pp. 369-398[3]. Thomas, A. and Zyl, A. V., Understanding of and attitudes to academic ethics among first

Conference Session

Technical Session 6: Modulus Topics Part 2

Collection

2019 ASEE Annual Conference & Exposition

Authors

Ronald Erdei, University of South Carolina; Brantly Edward McCord, Purdue Polytechnic Institute; David M. Whittinghill, Purdue University-Main Campus, West Lafayette (College of Engineering)

Tagged Divisions

Computers in Education

offering are moregregarious while students in the Spring 2019 offering are friendly yet reserved).AcknowledgementsThis work was supported in part by the National Science Foundation EPSCoR Program underNSF Award # OIA-1655740. Any Opinions, findings and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect those of theNational Science Foundation. (http://scepscoridea.org/MADEinSC/acknowledgements.html).References[1] N. Thomas and R. Erdei, "Stemming stereotype threat: recruitment, retention, and degree attainment in STEM fields for undergraduates from underrepresented backgrounds," in 2018 CoNECD - The Collaborative Network for Engineering and Computing Diversity

Conference Session

Technical Session 2: Embedded Systems

Collection

2019 ASEE Annual Conference & Exposition

Authors

Gabriel R. Burks, University of Illinois, Urbana-Champaign; Jennifer R. Amos, University of Illinois, Urbana-Champaign; Colin Widmer Castleberry, University of Illinois, Urbana-Champaign

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

and its resulting variables (roughness and rAVGCIR) byinvestigating relationships between the new experimental values and values of known relevancesuch as grade point average.Such computer-based assessments will prove to provide a more fair and equitable assessment ofdiverse student populations and their respective demographic subgroups. A better understandingof the individual components that comprise a student, especially when presented in a simple andeasily digestible manner, is surely to improve the instruction and learning experiences for allstudents.AcknowledgementsThis work is supported by NSF IUSE/PFE:RED - #1623141and covered under University ofIllinois IRB #14864.References[1] C. Ricketts and S. Wilks, "Improving student

Conference Session

Technical Session 7: Online and Distributed Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Taylor V. Williams, Purdue University-Main Campus, West Lafayette (College of Engineering); Kerrie A. Douglas, Purdue University-Main Campus, West Lafayette (College of Engineering); Peter Bermel, Purdue University-Main Campus, West Lafayette (College of Engineering); Hillary E. Merzdorf, Purdue University-Main Campus, West Lafayette (College of Engineering)

Tagged Divisions

Computers in Education

coursecontent occurs within the 14 days following the official state date. The left edge of the graphcorresponds with the official start date of each course. The official end date of each course isshown with a black dotted line. Each seven days until the end date is shown with a dashedvertical white line (with every fourth week shown as a solid line).Cluster C1—the top layer in nano540x’s timeline, seen in Figure 4—shows a group of learnerswho stopped interacting with the course almost precisely when the course ended. This behavioris in contrast with nano540x's C3 and C4 which each also began with about 100 learners.Although more of C3 and C4’s learners departed early in the course than did C1’s, many more ofC3 and C4's learners continued to access the

Conference Session

Technical Session 12: Teaching and Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Florian Schmidt, TU Berlin; Franz-Josef Schmitt, Technische Universität Berlin; Laura Boeger, TU Berlin; Arno Wilhelm-Weidner, Technische Universitaet Berlin; Nicole Torjus

Tagged Divisions

Computers in Education

research andinstruction. Curriculum Models for the 21st Century, 73-89. New York: Springer.[6] Bonk, C. J., & Graham, C. R. (2006). The handbook of blended learning: globalperspectives, local design. Pfeiffer.[7] Schultz, D., Duffield, S., Rasmussen, S.C., & Wagemann, J. (2014). Effects of the flippedclassroom model on student performance for advanced placement high school chemistrystudents. J. Chem. Educ., 91(9), 1334–1339.[8] Holmes, M. R., Tracy, E. M., Painter, L. L.; Oestreich, T., & Park, H. (2015). Movingfrom flipcharts to the flipped classroom: Using technology-driven teaching methods to promoteactive learning in foundation and advanced master’s social work courses. Clinical Social WorkJournal, 43, 215–224[9

Conference Session

Technical Session 9:Topics related to STEM

Collection

2019 ASEE Annual Conference & Exposition

Authors

Lori M Caldwell, Utah State University; Angela Minichiello P.E., Utah State University

Tagged Divisions

Computers in Education

-direction calculated using images from the mobile phone and high-speed camera and v is the velocity in the y-direction calculated from images using the mobilephone and high-speed camera. Overall, the difference between the mobile phone and the high-speed camera setup is low (max error less than 0.2 m/s) (Figure 7). Figure 8. Difference between mobile PIV and industrial PIV using the absolute difference (Eq. 1). Overall, calculated velocity was similar between the two setups.ConclusionsWe completed a preliminary proof of concept of a mI-PIV device that will be refined forimplementation in classrooms in both high school and undergraduate levels. Our PIV tool isinexpensive, designed using open access image analysis code, and fully mobile. We

Conference Session

Technical Session 4: Modulus Topics 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Yamuna Rajasekhar, zyBooks; Alex Daniel Edgcomb, Zybooks; Frank Vahid, University of California, Riverside

Tagged Divisions

Computers in Education

minutes. Most students correctly solvedthe seventh level on the first try, suggesting they had learned the objective. We took a look atsubmissions by students who made many attempts. One such student needed 4 tries to completelevel 1, 2 tries for level 2, 1 try for level 3, 4 tries for level 4, 1 try for level 5, 10 tries for level 6,and 1 try for level 7. The student spent about 5 minutes in total. Two weeks later, the samestudent worked through the activity again, perhaps preparing for an exam, and completed in justover 1 minute and making only 3 incorrect submissions across all levels. Note: The sectioncovering K-map has multiple challenge activities, and this is just 1 of them.6. Challenge activity: Enter output of an SR latch given input s

Conference Session

Technical Session 12: Teaching and Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Nina Schiffeler, IMA - RWTH Aachen University; Valerie Stehling, RWTH Aachen University; Frank Hees, Cybernetics Lab IMA & IfU; Ingrid Isenhardt

Tagged Divisions

Computers in Education

effect of AR on these aspects. The focus of this paper, however, isthe examination of the effect(s) of the collaborative AR app developed on the process of theteamwork in terms of communication and interaction. It aims at understanding to whichextent AR changes the way people communicate in collaborative settings, i.e. when theypursue a common goal. Moreover, the results of the study aim at identifyingrecommendations for action (e.g. for university teachers) in terms of the design ofcollaborative (learning) processes that will be enriched by AR.Tags: collaboration, Augmented Reality, communication, interaction, team1. Augmented Reality in collaborative learning1.1. Augmented RealityIn higher education, modern technological trends often find

Conference Session

Technical Session 3: The Best of Computers in Education

Collection

2019 ASEE Annual Conference & Exposition

Authors

Alexander James Tuttle, University of Georgia; Siddharth Savadatti, University of Georgia; Kyle Johnsen, University of Georgia

Tagged Divisions

Computers in Education

bematched. As a result, this added another dimension to the study (collaborative vs. alone).Two similar (and typical) engineering staticsproblems were chosen for this study. Termedthe ‘hinge’ and ‘anvil’ problems (Figure 8),they each involved determining the momentproduced by a force about a specified axis ona 3D structure. Each of the 11 sessions (8collaborative, 3 individual) involved solvingboth problems. For each session, one of thetwo problems had its measurements visible,while the other had them hidden to force theparticipant(s) to make use of the virtualmeasurement tool. Between the order ofsolving the problems (first and second) andthe availability of measurements (visible andhidden), there were four possiblepermutations for any given

Conference Session

Technical Session 7: Online and Distributed Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

David Ray Waller, Purdue University-Main Campus, West Lafayette (College of Engineering); Kerrie A. Douglas, Purdue University-Main Campus, West Lafayette (College of Engineering); Gaurav Nanda, Purdue University

Tagged Divisions

Computers in Education

Educational Technology, London, England: Routledge, 1993.[2] M. A. Andresen, "Asynchronous discussion forums: success factors, outcomes, assessments, and limitations," Journal of Educational Technology & Society, vol. 12, no. 1, pp. 249-257, 2009.[3] L. Breslow, D. E. Pritchard, J. DeBoer, G. S. Stump, A. D. Ho and D. T. Seaton, "Studying learning in the worldwide classroom research into edX’s first MOOC," Research & Practice in Assessment, vol. 8, pp. 13-25, 2013.[4] A. Koutropoulos, M. S. Gallagher, S. C. Abajian, I. de Waard, R. J. Hogue, N. O. Keskin and C. O. Rodriguez, "Emotive vocabulary in MOOCs: Context and participant retention," European Journal of Open, Distance and E-Learning, 2012.[5] L. S. Vygotsky, Mind in

Conference Session

Technical Session 9:Topics related to STEM

Collection

2019 ASEE Annual Conference & Exposition

Authors

Ronald F. DeMara P.E., University of Central Florida; Tian Tian, University of Central Florida; Shadi Sheikhfaal, University of Central Florida; Wendy Howard, University of Central Florida

Tagged Divisions

Computers in Education

faculty. Theseare being addressed as on-going and future work.References[1] H. M. Vo, C. Zhu, and N. A. Diep, "The effect of blended learning on student performance at course-level in higher education: A meta-analysis," Studies in Educational Evaluation, vol. 53, pp. 17-28, June 2017.[2] C. D. Dziuban, J. L. Hartman, and P. D. Moskal, "Blended learning," Educause, Centre for Applied Research Bulletin. Vol. 2004, Issue 7, July 2004.[3] C. Dziuban, C. R. Graham, P. D. Moskal, A. Norberg, and N. Sicilia, "Blended learning: the new normal and emerging technologies," International Journal of Educational Technology in Higher Education, vol. 15, no. 3, December 2018.[4] R. F. DeMara, N. Khoshavi, S. Pyle, J. Edison, R

Conference Session

Technical Session 8: Virtual Reality

Collection

2019 ASEE Annual Conference & Exposition

Authors

Kenneth A. Ritter III, University of Louisiana, Lafayette; Terrence L. Chambers P.E., University of Louisiana, Lafayette

Tagged Divisions

Computers in Education

Energy Center Case Studies,” Comput. Educ. J., vol. 9, no. 3, 2018.[6] S. Borsci, G. Lawson, and S. Broome, “Empirical evidence, evaluation criteria and challenges for the effectiveness of virtual and mixed reality tools for training operators of car service maintenance,” Comput. Ind., vol. 67, pp. 17–26, 2015.[7] A. Klippel et al., “Transforming Earth Science Education Through Immersive Experiences - Delivering on a Long Held Promise,” Br. J. Educ. Technol., pp. 1–14, 2018.[8] “Unity 3D.” [Online]. Available: https://unity3d.com/. [Accessed: 13-Feb-2019].[9] “Audacity.” [Online]. Available: https://www.audacityteam.org/. [Accessed: 13-Feb- 2019].[10] Dassault Systèmes SolidWorks Corporation, “Solidworks, 3D CAD

Conference Session

Technical Session 6: Modulus Topics Part 2

Collection

2019 ASEE Annual Conference & Exposition

Authors

Nicholas Hawkins, University of Louisville; James E. Lewis, University of Louisville; Brian Scott Robinson, University of Louisville; James Christopher Foreman, University of Louisville

Tagged Divisions

Computers in Education

. As an alternative and/or supplement, asynchronous labs have been developed [4] toallow for the hands-on experience while maintaining the flexibility and low-cost of doing soexternal to a traditional lab.However, instruction through longer-term projects, which span multiple lab sessions versusindividual labs, is quite advantageous because it is similar to how the engineering professionfunctions in industry [5]. Not only does it involve hands-on learning, it utilizes the advantage ofan instructor being present to assist the student(s) [6, 7].Course StructureThe course discussed in this paper is Engineering Methods, Tools, & Practice II (ENGR 111),the second component of a required first-year introductory sequence that typically enrolls

Conference Session

Technical Session 9:Topics related to STEM

Collection

2019 ASEE Annual Conference & Exposition

Authors

Osman Yasar, State University of New York, Brockport; Peter Veronesi, The College at Brockport; Jose Maliekal, The College at Brockport, SUNY; Leigh J. Little, SUNY Brockport; John W. Tillotson, Syracuse University

Tagged Divisions

Computers in Education

skills to problem solving ina generative fashion beyond just answering multiple-choice questions.Keywords: Memory retrieval, interleaved practice, computational thinking, teachertraining, professional development,1. IntroductionThere are yet to be any content standards for teacher professional development and studentlearning outcomes in engineering, however, recent national efforts11-12 have helped build somemomentum for standardization in engineering education. While a few states have taken bold stepsto make engineering education accessible to all K-12 students, others are also using currentcontent standards to promote science and engineering (S&E) practices such as: 12 1. Asking questions (for science) and defining problems (for

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

Technical Session 7: Online and Distributed Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Otto Borchert, Missouri Southern State University; Abigail Byram, Virginia Commonwealth University; Debra Mardell Duke, Virginia Commonwealth University; Alex David Radermacher, North Dakota State University; Mourya Reddy Narasareddygari, North Dakota State University; Gursimran Singh Walia, North Dakota State University

Tagged Divisions

Computers in Education

. Gursimran Singh Walia, North Dakota State University Gursimran S. Walia is an associate professor of Computer Science at North Dakota State University. His main research interests include empirical software engineering, software engineering education, human factors in software engineering, and software quality. He is a member of the IEEE Computer Society. Contact him at gursimran.walia@ndsu.edu c American Society for Engineering Education, 2019 Experiences Using a Cyber Learning Environment in CS1 ClassroomsAbstractThe Software Engineering and Programming Cyber Learning Environment (SEP-CyLE) is aweb-based platform to supplement standard course materials in CS1, CS2, software engineering,and

Conference Session

Technical Session 10: Simulation and Modeling

Collection

2019 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education

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

Conference Session

Technical Session 4: Modulus Topics 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

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

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

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

Conference Session

Technical Session 13: Digital Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education

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

Conference Session

Technical Session 10: Simulation and Modeling

Collection

2019 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education

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

Conference Session

Technical Session 4: Modulus Topics 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Magesh Chandramouli, Purdue University Northwest

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

within the VR Framework Low-Angle Vs High Angle Shot Polygon Count Composition Clues for Emotion PosingFinally, putting together all these individual 3D objects and positioning and orienting them helps builddifferent 3D scenes as shown below. The following are some very important results demonstrated from this framework: • A coordinate or coordinates is/are the numerical representation(s) of the location or position of an object. • The origin is typically at the center of the reference coordinate system. However, the origin need not necessarily be at the center of the modeling space. • Different conventions are used by programming language and modeling platforms that are available and used for modeling