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

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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

Teaching and Advising Tools Using Computers and Smart Devices

Collection

2016 ASEE Annual Conference & Exposition

Authors

Emil H Salib, James Madison University; Ian Healey, ASIS International; Alexander Ryan Chamberlain, Cisco Systems ; Livia S Griffith

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Paper ID #17164Integrated (Private) Cloud Computing Environment for Access to SpecializedCampus-bound Software Applications - Pilot StudyDr. Emil H Salib, James Madison University Professor in the Integrated Science & Technology Department at James Madison University. Current Teaching - Networking & Security and Cyber Intelligence Security. Current Research - Private Cloud Computing, Internet of Things (IoT), Mobile IPv6 and Design for Motivation CurriculumIan Healey, ASIS InternationalMr. Alexander Ryan ChamberlainMrs. Livia S Griffith c American Society for Engineering Education, 2016

Conference Session

Computers in Education 5 - Online and Distributed Learning 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Zhou Zhang, New York City College of Technology; Yizhe Chang, California State Polytechnic University, Pomona; Sven K. Esche, Stevens Institute of Technology; Andy S. Zhang, New York City College of Technology

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, USA, he received the Best Paper Award for his article ’A Virtual Laboratory on Fluid Mechanics’.Dr. Andy S. 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 working on bringing mechatronics technology to the undergraduate en- gineering technology curricula and on helping high school students to learn mechatronics through FIRST Robotic Competition events. American c Society for Engineering Education, 2021

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.

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over sixty publications in peer reviewed conference and journals and she was member, PI or CO-PI of several multidisciplinary research grants, sponsored by the European Union, NSF and industry. She is an IEEE member and chair of IEEE WIE, Long Island section.Mr. Clint S Cole, Digilent, Inc.Prof. Mircea Alexandru Dabacan, Technical University of Cluj-Napoca Studies: 1979-1984: five year engineering program at Faculty of Electrical Engineering, Department of Electronics and Telecommunications, Polytechnic Institute in Cluj-Napoca. 1998: PhD in Electron- ics,Technical University of Cluj-Napoca Professional Experience: 1984-1986: Design Engineer at IEIA Cluj-Napoca, Romania, 1986-1991: Research Engineer at IPA Cluj

Conference Session

Online, Hybrid, and other Virtual Learning Environments

Collection

2016 ASEE Annual Conference & Exposition

Authors

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

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Education, 2016 123rd ASEE Annual Conference and Exposition New Orleans, LA, USA, June 26-29, 2016 Zhang, Z., Zhang, M., Chang, Y., Esche, S. K. & Chassapis, C. A Virtual Laboratory System with Biometric Authentication and Remote Proctoring Based on Facial Recognition Zhang, Z., Zhang, M., Chang, Y., Esche, S. K. & Chassapis, C.AbstractVirtual laboratories are used in online education, corporate training and professional skilldevelopment. There are several aspects that determine the value and effectiveness of virtuallaboratories, namely (i) the cost of development which includes the cost of

Conference Session

Innovative Use of Technology I

Collection

2015 ASEE Annual Conference & Exposition

Authors

Zhou Zhang, Stevens Institute of Technology; Mingshao 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; Constantin Chassapis, Stevens Institute of Technology, School of Engineering and Science

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) 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

Conference Session

Computers in Education 7 - Modulus 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Ahmed Ashraf Butt, Purdue University at West Lafayette; Saira Anwar, University of Florida; Muhsin Menekse, Purdue University at West Lafayette

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asked to reflect on their experiences using the followingquestion:How often have you been in courses where some educational technology tools, especiallymobile applications, have been used? Tell us something about your experience. a. Please state the name of the application(s) or other technology tools (e.g., Clicker, CATME, Socrative, Any quiz software, etc.). b. What you liked about that application(s) and why? c. What you didn’t like and why? d. Were those applications academically relevant? If yes, why, if no, why not?Data AnalysisThe study focuses on exploring the students’ perceptions of using educational technology toolsin postsecondary STEM classrooms. To inform our study, we employed

Conference Session

Computers in Education Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

John C Nesbit, Simon Fraser University; Li Liu, Simon Fraser University ; Qing Liu, Simon Fraser University; Olusola O Adesope, Washington State University-Pullman

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) critically evaluating the state of research andrecommending improvements, and (c) identifying neglected topics that require the attention ofresearchers. Our completed systematic review will contribute in each of these three areas.Bibliography1. Ma, W., Adesope, O. O., Nesbit, J. C., & Liu, Q. (2014). Intelligent tutoring systems and learning outcomes: A Page 26.1754.10 meta-analytic survey. Journal of Educational Psychology, 106, 901-918.2. Sabo, K. E., Atkinson, R. K., Barrus, A. L., Joseph, S. S., & Perez, R. S. (2013). Searching for the two sigma advantage: Evaluating algebra intelligent tutors. Computers in

Conference Session

COED: Mechanical Engineering-related Topics

Collection

2018 ASEE Annual Conference & Exposition

Authors

Peter L. Schmidt PE, University of Evansville; Philip Andrew Lax, University Of Evansville

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code for creation and analysis of a cam profile.%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%Program Name: CamAnalysis%%Program Description: Analyzes and Creates Cam Profile%%Inputs: Number of Zones and the Parametersassociated with% each%%Outputs: S,V,A,J Curves, Force, Power, Torque,Pressure Angle,% and Cam Profile Plots. Tabular Data Sets.Max Values.%%Date Created: 11-5-2016%%Revisions:%%0) 11-5-2016 Creation%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%clearclc%Parameters%s_harmonic = @(h,theta,Beta,Beta_time) h/2*(1-cos(pi*theta/Beta));v_harmonic = @(h,theta,Beta,Beta_time)pi*h/2/Beta_time

Conference Session

COED: Online and Blended Learning Part 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

Taylor V. Williams, Purdue University, West Lafayette; Kerrie A. Douglas, Purdue University, West Lafayette; Tarun Yellamraju, Purdue University, West Lafayette; Mireille Boutin, Purdue University, West Lafayette

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Group 2 identified by applying the separation criteria RV249 and RV242). Note that while eachof these separation criteria identifies distinct groups, the group characteristics are very different. (a) (b) (c) Figure 3: For course 1’s top two separation criteria (RV249 and RV242 shown in (a) and (c), respectively), the response pattern statistics for the applied science course result in distinct response groups (labeled Group 1 and Group 2, matching the labels from Figure 2). The dimensions that are unaffected by the criteria (i.e., personal interest and university application for RV249; fit with lifestyle for RV242) remain consistent (within

Conference Session

Innovative Use of Technology II

Collection

2015 ASEE Annual Conference & Exposition

Authors

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

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Large Classes. in American Society for Engineering Education 2014 National Conference & Exposition (American Society for Engineering Education, 2014).2. ASCE Policy Statement 351 - Peer Review. (2010). at 3. Verleger, M., Diefes-Dux, H. A., Ohland, M. W., Besterfield-Sacre, M. & Brophy, S. Challenges to Informed Peer Review Matching Algorithms. J. Eng. Educ. 99, 397–408 (2010).4. Burnham, J. C. The Evolution of Editorial Peer Review. JAMA J. Am. Med. Assoc. 263, 1323–1329 (1990).5. Bohannon, J. Who’s afraid of peer review? Science 342, 60–5 (2013).6. Wolfe-Simon, F. et al. A Bacterium That Can Grow by Using Arsenic Instead of Phosphorus. Science (80-. ). 332, 1163–1166 (2011).7. Wolfe

Conference Session

Computing Technology Session 1

Collection

2017 ASEE Annual Conference & Exposition

Authors

Doipayan Roy, Purdue University; Peter Bermel, Purdue University, West Lafayette (College of Engineering); Kerrie A Douglas, Purdue University, West Lafayette (College of Engineering); Heidi A. Diefes-Dux, Purdue University, West Lafayette (College of Engineering); Michael Richey, The Boeing Company; Krishna Madhavan, Purdue University, West Lafayette (College of Engineering); Siddharth Shah

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,CV,N) Table 6- Average visits to study materials (S) and assessment resources (A)The hypothesis tests comparing Fully Engaged (FE) and Consistent Viewers (CV) groups’average visits to assessments (A) were as follows:Test 1:Null hypothesis: µA,CV,T = µA,FE,TAlternate hypothesis: µA,CV,T < µA,FE,TTest 2:Null hypothesis: µA,CV,N = µA,FE,NAlternate hypothesis: µA,CV,N < µA,FE,NThese tests yield p-values of 0.001 for Thermoelectricity and 0.036 for Nanobiosensors. Takingthe standard threshold of p=0.05, we reject the null hypothesis in both tests and conclude thatConsistent Viewers group access assessments less frequently as compared to Fully Engagedlearners in both courses. The fact that we can accept both alternate hypotheses

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

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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

Software and Programming

Collection

2016 ASEE Annual Conference & Exposition

Authors

Suxia Cui, Prairie View A&M University; Yonghui Wang, Prairie View A&M University; Lin Li, Prairie View A&M University; Xiaobo Peng, Prairie View A&M University; Bugrahan Yalvac, Texas A&M University

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Response Mean 1 s 5 4 High Performance Computing1 and Big Data 15 8 5 1 3 1 33 2.27 Usage of HPC Integration in2 Real World Applications 13 8 6 2 2 2 33 2.45 Usage of Information to Impact K-16 Educator in3 Addressing/Supporting the 10 8 7 3 1 4 33 2.82 Computing Industry Workforce ShortageQuestion 14: What is your overall perception of the workshop

Conference Session

Computers in Education 7 - Modulus 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Gulustan Dogan, University of North Carolina Wilmington; Yang Song, University of North Carolina Wilmington; Damla Surek, Yildiz Technical University

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believethat our modules had a greater impact on those students who were newer to computationalthinking, over those who had prior experience and were enrolled in upper-level computationalcourses.1 IntroductionAccording to Wing, Computational Thinking (CT) is the thought processes involved informulating a problem and expressing its solution(s) in such a way that an information processor– human or machine – can effectively carry out that solution [1]. The educational philosophybehind Computational Thinking is that problems in every discipline can be solved by the tools ofcomputation such as algorithmic thinking, decomposition, abstraction, pattern recognition. Forinstance, one of the pillars of computational thinking is algorithmic thinking

Conference Session

Best of Computers in Education

Collection

2015 ASEE Annual Conference & Exposition

Authors

Raghavender Goud Yadagiri, NYU Polytechnic School of Engineering; Sai Prasanth Krishnamoorthy, NYU Polytechnic School of Engineering; Vikram Kapila, NYU Polytechnic School of Engineering

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exposed to basic concepts ofcomputation and computer programming, without having to go beyond the user friendly blocksbased interface. Figure 6 shows an arena for the maze-based educational game. Page 26.17.7 Figure 6: Maze-based Educational Game.Note that our proposed “gamification” of robot-programming satisfies several rules of goodgame design for learning. First, it provides the student an opportunity for active learning,wherein s/he learns the concepts of programming while trying to score points in the game. Evenas the student is engrossed in the game to score points, s/he is involuntarily learning andpracticing

Conference Session

Innovative Use of Technology II

Collection

2015 ASEE Annual Conference & Exposition

Authors

Shuang Wei, Purdue University, West Lafayette; Yingjie Chen, Purdue University, West Lafayette; Tim McGraw, Purdue University; April Ginther, Purdue University

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., Dobrovolsky, M. & Katamba, F. Contemporary linguistics: an introduction. (Longman, 1996).9. Fraser, H. Teaching pronunciation: A handbook for teachers and trainers. (2001). at 10. Dina, A.-T. & Ciornei, S.-I. The Advantages and Disadvantages of Computer Assisted Language Learning and Teaching for Foreign Languages. Procedia-Soc. Behav. Sci. 76, 248–252 (2013).11. Kim, I.-S. Automatic Speech Recognition: Reliability and Pedagogical Implications for Teaching Pronunciation. J. Educ. Technol. Soc. 9, 322–334 (2006).12. Talebi, F. & Teimoury, N. The Effect of Computer- assisted Language Learning on Improving EFL Learners’ Pronunciation Ability. World J. Engl. Lang. 3, (2013).13. Inouye, K. K., Sheres, S. C

Conference Session

Effective Use of Technology in Education

Collection

2016 ASEE Annual Conference & Exposition

Authors

Frank Vahid, University of California - Riverside; Alex Daniel Edgcomb, Zybooks; Susan Lysecky, Zybooks; Roman Lysecky, University of Arizona

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 built around those features. The interactive material of course  covers   digital  design  topics  not  included  in  this  paper  for  space  reasons, such as creating sequential circuits to implement FSMs.   Having  its  roots  in  2014  rather  than   in  the   1980's  when  digital  design  dealt  with  much  smaller circuits,  the  material  also  strives  to  teach  a  modern  view  of  digital  design,  going  bottom  up  as   before, but being sure to reach register­transfer­level design as promptly as reasonable.  Boolean algebra Digital  design  is  based  on  the  mathematics  and  properties  of  Boolean  algebra

Conference Session

Computers in Education Division Technical Session 9: Pedagogical Tools

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Dylan Keifer Finch, Virginia Tech; Stephen H. Edwards, Virginia Tech

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unique to Duke?," Duke Chronicle, 24 October 2017. [Online]. Available: https://www.dukechronicle.com/article/2017/10/with-large-classes-and-waitlists-compsci- feels-growing-pains-but-are-those-pains-unique-to-duke. [Accessed 1 January 2020].[5] G. V. Glass and M. L. Smith, "Meta-analysis of research on class size and achievement," Educational evaluation and policy analysis, vol. 1, no. 1, pp. 2-16, 1979.[6] L. E. Winslow, "Programming pedagogy - a psychological overview," SIGCSE Bull., p. 17–22, 1996.[7] N. Bosch, S. D’Mello and C. Mills, "What emotions do novices experience during their first computer programming learning session?," in International Conference on Artificial Intelligence in Education, 2013.[8] E. J. Kim and K

Conference Session

Computers in Education Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Neelam Soundarajan, Ohio State University; Swaroop Joshi, Ohio State University; Rajiv Ramnath, Ohio State University

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. The class meetings are devoted to answering questions (that students mayhave based on their viewing of the corresponding video lecture(s)) and problem solving activitiesincluding, especially, in cooperative learning groups.A number of authors 7,8,9,10 who have used the flipped approach in their courses have reported onboth the reaction of the students to the approach and, in some cases, the performance of the studentsin sections of courses that used the flipped approach compared to that of students in regular (non-flipped) sections of the same courses. Although students seem to enjoy the flipped approach,their performance seems about the same as, or in some cases even worse than, that of studentsin the regular sections. Thus Thomas and

Conference Session

Computers in Education Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Steve E. Watkins, Missouri University of Science & Technology; Theresa Mae Swift, Missouri University of Science & Technology; Amardeep Kaur, Missouri University of Science and Technology, Rolla MO

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; Technology Theresa M. Swift is an Assistant Teaching Professor in the Department of Electrical and Computer En- gineering at Missouri University of Science and Technology. She teaches the sophomore circuits and introduction to electronic devices courses for ECE majors as well as a service course in circuits for other engineering disciplines on campus. She is a member of both the ECE curriculum committee and the curriculum committee for all engineering disciplines on the Missouri S&T campus.Dr. Amardeep Kaur, Missouri University of Science and Technology, Rolla MO Amardeep Kaur is an Assistant Teaching Professor with the department of Electrical and Computer En- gineering at Missouri University of Science and

Conference Session

Computers in Education Division Technical Session 4: Digital Learning Part II

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Luis Felipe Zapata-Rivera, Embry-Riddle Aeronautical University; Maria M. Larrondo-Petrie, Florida Atlantic University; Catalina Aranzazu-Suescun, Latin American & Caribbean Consortium of Engineering Institutions

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some of thefields defined by LOM (Learning Object Metadata) [8] and add new fields that are specificallyrelated to online laboratories such as: title, type_of_lab a, activity(s), among others. Table 1presents the data that the professor who creates it gives us so the system can classify it in one ofthe galleries. Field Name Field data Description Mandatory / type Optional title String Unique title for the lab Mandatory purpose String Description of the purpose of the lab Optional topic(s) String[] Topics covered in

Conference Session

Work-in-Progress Posters: Computers in Education Division Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Pete M. Evans, Iowa State University; Eric J. Schares, Iowa State University

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and the College ofDesign provided a 3-year contract for a shared faculty appointment and funds for travel,maintenance, and upgrades to the program with the the goal to be self-sustained and/or supportedin large part by external funds and grants.Session OverviewAs of June 2017, FLEx has delivered a total of 171 sessions both on campus and around the stateof Iowa (Figures 3 & 4). The number of sessions have continued to increase each year, with2017 poised to exceed 2016’s previously record total. Notable sessions and locations include theIowa State Fair, 4-H, Women in Science and Engineering (WiSE), Precollegiate Programs forTalented and Gifted, Upward Bound, and Science Bound.Sessions begin with a short 15-minute presentation on design

Conference Session

CoED: Computer Science Topics

Collection

2017 ASEE Annual Conference & Exposition

Authors

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

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, S. McCoid, T. Jenkins, and E. Livingston. Tackling engagement in computing with computational music remixing. in Proceeding of the 44th ACM technical symposium on Computer science education. 2013. ACM.8. McCoid, S., J. Freeman, B. Magerko, C. Michaud, T. Jenkins, T. Mcklin, and H. Kan, EarSketch: An integrated approach to teaching introductory computer music. Organised Sound, 2013. 18(02): pp. 146-160.9. Winters, D., Virtuous and Vicious Cycles. The Social State?, 2003: pp. 43.10. Sharan, S. and I.G.C. Tan, Student engagement in learning. Organizing schools for productive learning, 2008: pp. 41-45.11. Haraldsson, H.V., Introduction to systems and causal loop diagrams. System Dynamic Course

Conference Session

Mobile Devices and Apps

Collection

2015 ASEE Annual Conference & Exposition

Authors

Andreas Karatsolis, MIT; Suguru Ishizaki, Carnegie Mellon University; Marsha C. Lovett, Carnegie Mellon University; Mollie Kaufer, Carnegie Mellon University; Stacie L. Rohrbach, Carnegie Mellon University

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/Accreditation_Documents/Current/eac-criteria-2012–2013.pdf[4] Zimmerman, Donald E., and Michael Palmquist. 1993. "Enhancing Electrical EngineeringStudents' Communication Skills." In Proceedings of the IEEE International ProfessionalCommunication Conference, Philadelphia, October 5-8: 428-31.[5] Fisher, E., Usrey, M. W., & Beaslq, H. A. (2003). OWL: A wise way to enhance engineering students’ writingskills. ASEE/IEEE Frontiers in Education Conference, November 5-November 8.[6] Rohrbach, S. ; Ishizaki, S. ; Werner, N. ; Miller, J. ; Dzombak, D. (2013). Improving students' professionalcommunication skills through an integrated learning system. Professional Communication Conference (IPCC), 2013IEEE International[7] Werner, N. ; Ishizaki, S. ; Rohrbach, S

Conference Session

Software and Programming

Collection

2015 ASEE Annual Conference & Exposition

Authors

Priya Manohar, Robert Morris University; Sushil Acharya, Robert Morris University; Peter Y. Wu, Robert Morris University; Ali A. Ansari, Virginia State University; Walter W. Schilling Jr., Milwaukee School of Engineering

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toolsthat are being developed to achieve project objectives, the work related to the development ofcase studies is described here. Historically, case studies have been as educational tools inbusiness, law and medicine but not so much in software engineering. The hypothesis is that casestudies would be effective educational tools to introduce real-world professional practices intothe classroom which would help the students in identifying and solving problems, and develop aperspective on knowledge application. In this paper we describe a set of V&V related case-studies that we have drawn from industry experiences and developed them as pedagogical tools.These case-studies cover several important topics in S/W V&V domain such as software

Conference Session

Computers in Education Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

German Carro Fernandez P.E., Spanish University for Distance Education (UNED); Manuel Castro, Spanish University for Distance Education (UNED) ; Elio Sancristobal, Spanish University for Distance Education (UNED); Francisco Mur Perez, Spanish University for Distance Education (UNED)

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, D.; Martínez, M. A.; Pazos, J. y Riera, T.; “A system for knowledge discovery in e-learningenvironments within the European Higher Education Area – Application to student data from Open University ofMadrid, UDIMA”, Computers & Education, vol. 72, March 2014, pp. 23-36, ISSN 0360-1315,http://dx.doi.org/10.1016/j.compedu.2013.10.009[2] Balestrino, A.; Caiti, A. y Crisostomi, E.; "From Remote Experiments to Web-Based Learning Objects: AnAdvanced Telelaboratory for Robotics and Control Systems," Industrial Electronics, IEEE Transactions on, vol.56,num.12, pp.4817-4825, December 2009 doi:10.1109/TIE.2008.2006941[3] Jara, C. A.; Candelas, F. A.; Puente, S. T. y Torres, F. , "Hands-on experiences of undergraduate students inAutomatics and

Conference Session

COED: Mechanical Engineering-related Topics

Collection

2018 ASEE Annual Conference & Exposition

Authors

Shuo Ren, Old Dominion University; Zelin Zhu, Old Dominion University; Rick McKenzie, Old Dominion University; Yuzhong Shen, Old Dominion University

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://www.marxentlabs.com/what-is-virtual-reality-definition-and-examples/[3] S. Ren et al., "Design and Comparison of Immersive Interactive Learning and Instructional Techniques for 3D Virtual Laboratories," Presence: Teleoperators and Virtual Environments, vol. 24, no. 2, pp. 93-112, 2015/05/01 2015.[4] M. Limniou, D. Roberts, and N. Papadopoulos, "Full immersive virtual environment CAVE in chemistry education," Comput. Educ., vol. 51, no. 2, pp. 584-593, 2008.[5] N. Shanku, G. Sharko, and E. Prifti, "Toward Virtual – Real Laboratory on Electric Power System Engineering Courses A Successful Experience," International Journal of Pure and Applied Sciences and Technology, vol. 4, no. 2, pp. 85-97, 2011.[6] S. Amirkhani and

Conference Session

Computers in Education 5 - Online and Distributed Learning 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Shamsul Arefeen, Texas Tech University; Tim Dallas P.E., Texas Tech University; Heather Greenhalgh-Spencer, Texas Tech University

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systems.acknowledgementThis work has been funded by the Global Laboratory for Energy Asset Management andManufacturing (GLEAMM) and Texas Instruments.references[1] A. Ramsetty and C. Adams, "Impact of the digital divide in the age of COVID-19," Journal of the American Medical Informatics Association, vol. 27, no. 7, pp. 1147-1148, 2020.[2] H. Greenhalgh-Spencer and M. Jerbi, "Technography and design–actuality gap-analysis of internet computer technologies-assisted education: Western expectations and global education," Policy Futures in Education, vol. 15, no. 3, pp. 275-294, 2017.[3] A. Banerjee, P. Glewwe, S. Powers, and M. Wasserman, Expanding access and increasing student learning in post-primary education in

Conference Session

COED: Issues Impacting Students Learning How to Program

Collection

2018 ASEE Annual Conference & Exposition

Authors

Petra Bonfert-Taylor, Dartmouth College; Alisan Oeztuerk, German Army; Ben Servoz, Dartmouth College

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iteration, but we hope to start converging towards a new instructional modelthat better serves and retains a more diverse group of students, especially students fromunderprepared backgrounds.Traditionally, the first day of classes was spent attending to typical first-day-of-classhousekeeping business as well as speaking about hardware and software and introducing thebinary number system. Next came an introduction to Linux (since in order to minimizeinstallation issues and related troubleshooting, we have students program on our remote servers),more on binary numbers, including the 2’s complement representation, the hexadecimal numbersystem, etc. By the end of the first week of classes, the first program involving simple user input,a computation and