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

by activity) at 43 universities, toprovide insight into how such activities impact the student learning experience in digital designcourses. Key insight: Students tend to make small mistakes on early levels, then quickly solvethe harder levels, enabling most students to complete a challenge activity within 10 minutes.1. IntroductionDigital design is a crucial course, often required for Electrical Engineering (EE), ComputerEngineering (CE), and Computer Science (CS) majors. EE and CE require the course duringlower-division, and CS tend to require the course during upper-division, which causes difficultyfor instruction because students have varied backgrounds. Another difficulty with teaching (andlearning) digital design is the blend of

Conference Session

Technical Session 4: Modulus Topics 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Alessio Gaspar, University of South Florida; Dmytro Vitel, University of South Florida; A.T.M. Golam Bari, University of South Florida

Tagged Divisions

Computers in Education

tobetter serve students, but also by adopting a similar perspective including the needs of instructorsand Computing Education researchers. We also introduce a new tool, EvoParsons, and show howit proposes to address some of the limitations and opportunities that were identified.1 IntroductionEvoParsons is a software implementation of Parsons puzzles that was designed to provide accessto students to both instructor-designed and automatically generated puzzles. It is also meant tosupport three distinct categories of users: researchers, students, and instructors.Computing Education researchers, who are interested in applying artificial intelligencetechniques, benefit greatly from open source access to Parsons puzzle software. However, wefound these

Conference Session

Technical Session 4: Modulus Topics 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Magesh Chandramouli, Purdue University Northwest

Tagged Topics

Diversity

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Computers in Education

reality (VR) and computer graphics (CG) are highly interrelated. The evolution of VRhas been aided by the advancements in 3D graphics, visualization, and interactive user interfaces.Evidently, CG has tools and techniques tremendously influence and impact the capabilities ofVR and also considerably define the limitations as well. However, in this study, multiple modesare used to overcome space and cost limitations. Figure 1: Multiple VR-based modes of Interaction; Clockwise from top-left Using Head Mounted Displays, Using Controllers on Desktop, Using Touchpad, StylusOne of the most important advantages of using VR is the ability to engage students to facilitateactive learning and problem-based learning. Active learning and project-based

Conference Session

Technical Session 4: Modulus Topics 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Afrin Naz, West Virginia University Institute of Technology; Jordan Nicole Bowen; Mardigon Max Toler, West Virginia University Institute of Technology; Mingyu Lu, West Virginia University Institute of Technology

Tagged Divisions

Computers in Education

encouraging evidence demonstrating that project-based learning succeeds inincreasing students’ content knowledge, enabling students to transfer knowledge to practicalimplementation, promoting students’ collaboration skills, and developing students’ positiveattitudes towards math and science [1-5]. When project-based learning is used to supplementinstructions, students are inspired to pursue STEM (science, technology, engineering, andmathematics) careers [4].In the summers of 2015, 2016 and 2017, we organized workshops on the West VirginiaUniversity Institute of Technology (WVU TECH) campus for math and science middle and highschool teachers to learn project-based learning systematically. Workshop instructors are WVUTECH computer science and

Conference Session

Technical Session 4: Modulus Topics 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Magesh Chandramouli, Purdue University Northwest; Emily Hixon, Purdue University Northwest

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

are engaged in activities (e.g., reading, discussing, writing). • Greater emphasis is placed on students' exploration of their own attitudes and values. Figure 1: Team-Quiz Components with Learning OutcomesThe instructional strategy documented in this study provides an active, collaborative approach(Figure.1) for addressing some observations made by the author in CGT courses over the past severalyears: o The graphics production pipeline is inherently teamwork-based and it is important for CGT students to have collaborative skills. o Often times, students who are otherwise proficient in CGT (3D Modeling, Lighting, etc.) are restricted in terms of communicating with teams and

Conference Session

Technical Session 4: Modulus Topics 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Raquel Landa, Tecnologico de Monterrey (ITESM); Lorena B. Martinez Elizalde, Tecnologico de Monterrey; Cristina Verónica Gonzalez Cordova, ITESM

Tagged Divisions

Computers in Education

promoting learning through decision-making. As a result of the developmentof the product, students are able to build their own knowledge [1].The RAIS approach also proposes collaborative learning, based on the principle that thecollaboration among pairs significantly increases motivation, stimulates creativity, encouragesand facilitates communication, develops a sense of responsibility and improves the degree ofpersonal satisfaction [2]. Also, it raises the need to relate, contextualize and integrate thecontents of the different disciplines through a set of interdisciplinary modules that have a closeconnection with each other. This proposal facilitates the interconnection of knowledge throughan integrating element: the product to be developed.The

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

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Diversity

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Computers in Education

the transition experience. The NLP analyzerhelped summarize emotions and concepts, and identified some common concerns of students byidentifying common keywords. The Tone Analyzer tool uses linguistic analysis to detect joy,fear, sadness, anger, analytical, confident and tentative tones found in text. Such summarizationsof student stories provide suggestions to the college on how we can better orient students andprepare them for their first year. In this paper, we present top concerns of students who aretransitioning from high school to college. We will also investigate through the stories if theoverall experience of students gets better or worse through their first year.1. IntroductionEntering college is a major milestone that marks the

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

Tan1 Stephen Kozakoff1 kokcheng@mail.usf.edu kozakoff@mail.usf.edu 1 University of South Florida, Computer Science and Engineering, 4202 E. Fowler Avenue Tampa, FL, 33620, USA 2 Institute for Simulation & Training EECS, University of Central Florida 4000 Central Florida Blvd Orlando, Florida, 32816, USAAbstractOur goal is to investigate whether techniques to automatically generate practice problems

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

instructor for several undergraduate-level courses, and he has conducted educational research on the effect of various learning techniques on improving students’ self-efficacy and overall learning experience. c American Society for Engineering Education, 2019 Programming Without Computer: Revisiting a Traditional Method to Improve Students’ Learning Experience in Computer ProgrammingIntroductionDuring the past three decades, computer programming has been recognized as an essential skilland a necessary element in education. Previous studies have reported numerous cognitiveoutcomes from learning to program [1]. Feurzeig et al. [2] presented an extensive list of cognitivebenefits of learning computer

Conference Session

Technical Session 1: Issues Impacting Students Learning How to Program

Collection

2019 ASEE Annual Conference & Exposition

Authors

Raquel Landa, Tecnologico de Monterrey (ITESM); Yolanda Martinez-Trevino, Tecnológico de Monterrey

Tagged Divisions

Computers in Education

Course María Raquel Landa Cavazos Yolanda Martínez Treviño Computer Science Department Computer Science Department Tecnologico de Monterrey, Tecnologico de Monterrey, Campus Monterrey. Campus Monterrey. Monterrey, México Monterrey, México rlanda@tec.mx yolanda.mar.tre@tec.mxAbstractThis paper presents the results of integrating the use of an auto-grader tool in a ComputerScience 1 course to personalize the learning process of students by allowing them to advance attheir own pace when solving problems in class sessions

Conference Session

Technical Session 1: Issues Impacting Students Learning How to Program

Collection

2019 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education

readings and homeworks. Coral has been used byabout 2600 students at 21 universities.1. Introduction: Why a new language?Industry coding languages like Python, Java, and C++ were designed mostly for professionals,not learners. Python is often considered the simplest to learn, but as one long-time instructor putit, “even Python has its ‘Gotchas'”, which is supported by some research where evidence wasfound that students struggle with Python as much as with C++ [1][2][3]. For example, somePython syntax is non-intuitive to learners, like reading integers. Another example is that the lackof static typing in Python can yield hard-to-debug type-related errors. We consideredsubsetting/redefining Python for learners, but knew the needed departures could

Conference Session

Technical Session 1: Issues Impacting Students Learning How to Program

Collection

2019 ASEE Annual Conference & Exposition

Authors

J.w. Bruce, Tennessee Technological University; Bryan A. Jones, Mississippi State University; Mahnas Jean Mohammadi-Aragh, Mississippi State University

Tagged Divisions

Computers in Education

devices toeconomy-critical and life-critical devices. A big reason for the proliferation of digital devicesinto every part of our lives is that digital systems have increasing capabilities at shrinking costs[1]. This seemingly contradictory march has often been characterized by Moore’s Law, namedafter Gordon Moore, co-founder of Fairchild Semiconductor and CEO of Intel.A critical challenge to continue this progress is management of digital circuit complexity. Thedays of hand-tuned digital circuits designed by single engineer are long gone. Modern digitalcircuits are far too complex for a single person to grasp and understand. To aid the moderndigital circuit designer, hardware description languages (HDLs) such as ABEL [2], VHDL (nowdescribed by

Conference Session

Technical Session 10: Simulation and Modeling

Collection

2019 ASEE Annual Conference & Exposition

Authors

Jing Zhang, Indiana University Purdue University - Indianapolis; Tejesh Charles Dube, Indiana University Purdue University, Indianapolis; Michael Golub, IUPUI

Tagged Divisions

Computers in Education

Paper ID #27744Using Computer Based Simulation to Improve Learning Experience in Me-chanical Behavior of Materials ClassDr. Jing Zhang, Indiana University Purdue University - Indianapolis Dr. Jing Zhang’s research interests are broadly centered on understanding the processing-structure- property relationships in advanced ceramics and metals for optimal performance in application, and iden- tifying desirable processing routes for its manufacture. To this end, the research group employs a blend of experimental, theoretical, and numerical approaches, focusing on several areas, including: 1. Processing-Microstructure-Property

Conference Session

Technical Session 13: Digital Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Jared Dean Mitten, Ohio State University; Andrew H. Phillips, Ohio State University; Kathleen A. Harper, Ohio State University; Richard J. Freuler, Ohio State University

Tagged Divisions

Computers in Education

-on laboratory experiences designed tointroduce them to a breadth of engineering disciplines, improve their technical communicationskills, and allow them to practice effective teamworking. The class employs an invertedclassroom approach to increase student engagement with the content and instructional staff [1].In the second semester, students learn hand-drawn and computer-aided design (CAD) graphics,and they participate in a large cornerstone design project.The most popular of the second-semester cornerstone design projects is the robotics project. Thisrobot project has many components which have been developed over the years [2]. Teams offour students are tasked to design, build, program, wire, budget, and document an autonomousrobotic

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

structure (passage width, exit placements, obstacles) but also on the crowd’s behavior(speed, exit information, time to react). As such, it becomes important to have a model, which cansimulate the process correctly and analyze the performance of evacuations in a specific buildingfor various types of occupants. Many methods are used for building occupancy simulation, out of which agent-based is popularfor the system in which there is high interaction in its components, and it is necessary to model it.There is an agent who represents an occupant, and the dynamic process of occupants is simulatedrepeatedly over time to generate the complex and intriguing emergent behavior [1]. The agent-based model works at a detailed level with a focus on agent’s

Conference Session

Technical Session 3: The Best of Computers in Education

Collection

2019 ASEE Annual Conference & Exposition

Authors

Kyle Johnsen, University of Georgia; Siddharth Savadatti, University of Georgia

Tagged Divisions

Computers in Education

physical and mathematical principles. In addition, laterproblems tend to include more narrative and extraneous details, which force the learner toimagine the problem’s context and filter through the textual description to construct the analysisproblem. Ostensibly, this sequence helps build the learner’s ability to analyze real worldengineering problems and design solutions. However, the text and diagrams of a book oftencannot accurately represent the look, complexity, and flow of real-world problems, nor can theyaccount for the inherent ambiguity and alternative design pathways of solutions [1]. Alsoinherent in the design of such textbook problems is the fact that they are intended to support thedidactic, lecture-based method that is commonly

Conference Session

Technical Session 5: Topics related to Engineering

Collection

2019 ASEE Annual Conference & Exposition

Authors

W. Davis Harbour, Louisiana Tech University; Stan Cronk, Louisiana Tech University; Nishant Shakya, Louisiana Tech University

Tagged Divisions

Computers in Education

as RX on the Arduino and as TXon the ESP8266. Since the ESP8266 is a 3.3 V device, the signal coming from TX on theESP8266 to RX on the Arduino will never be above this voltage, so this signal is safe to connectto the Arduino powered at 5 V. However, since the Arduino is powered at 5 V, the signalcoming from TX on the Arduino to RX on the ESP8266 will be at this voltage, and this signal istoo high for the ESP8266 powered at 3.3 V. So, a voltage divider must be employed to lower thevoltage of this signal to a value that is safe for the ESP8266 to process. Connecting the TX signalfrom the Arduino to a circuit consisting of a 1 kW resistor in series with a 2 kW resistor willdivide this 5 V signal. The value of the voltage across the 1 kW

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

pathways for adult, nontraditional, and veteran undergraduates in engineering. c American Society for Engineering Education, 2019 Work in Progress: Mobile Instructional Particle Image Velocimetry for STEM Outreach and Undergraduate Fluid Mechanics Education Lori Caldwell1, David Armijo2, Sarbajit Mukherjee3, Angela Minichiello1, Tadd Truscott2, Vladimir Kulyukin3 1 Department of Engineering Education, Utah State University 2 Department of Mechanical Engineering, Utah State University 3 Department of Computer Science, Utah State

Conference Session

Technical Session 6: Modulus Topics Part 2

Collection

2019 ASEE Annual Conference & Exposition

Authors

Tim Foutz P.E., University of Georgia; ChanMin Kim, Penn State University; Tugba Boz, University of Georgia; Cory Gleasman, University of Georgia

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

American Society for Engineering Education, 2019 Teaching Coding to Elementary Student: the Use of Collective ArgumentationIntroductionStudents develop their perception of the STEM disciplines before and during the elementaryschool grades [1]. Interviews of 116 scientist and engineers, who are either practicing inindustry or participating in graduate studies, found that 60-65% of both female and maleinterviewees indicated their interest in the STEM disciplines was developed before middleschool [2]. A survey of 1000 scientist and 150+ students gives similar results [3]. Whencombined with findings, e.g., [4], [5] that suggest that the elementary years are when studentsdevelop self-efficacy, intrinsic motivation

Conference Session

Technical Session 13: Digital Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Asjia Marion-Bethany Gilder, Alabama A&M University; Wichien Choosilp; Michael Allen Jr.; Quantarius Jerome Dean; Yujian Fu P.E., Alabama A&M University

Tagged Divisions

Computers in Education

developing kit includes a comprehensive set ofdevelopment tools, including a debugger, software libraries, a handset emulator based on QEMU,documentation, sample code, and tutorials. In December 2014, Google released Android Studio,based on Intelligence IDEA, as its primary IDE for Android application development. Otherdevelopment tools are available, including a native development kit for applications orextensions in C++, Google App Inventor, a visual environment for novice programmers, andvarious cross platform mobile web applications frameworks. The basis for OOP (Object-oriented Programming) started in the early 1960s [12, 13]. Abreakthrough involving instances and objects was achieved at MIT with the PDP-1 [6], and the

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

project.After students became comfortable with using some of the analysis tools, listed in Figure 1 andshown in Figure 2, they were challenged to develop their own modelling tool for use in asupersonic nozzle design project. A survey of student perspectives on the various modellingtools developed by the students was used as an evaluation tool to help determine the mosteffective platforms for future projects and to expose students to a variety of analysis tools.Figure 1: Web Site with sample programs for evaluating thermodynamic systems of equationsFigure 2: Samples of web page platform for thermodynamic systems (supersonic nozzle and ICengine)Project AssignmentFor many years, in an advanced undergraduate thermodynamics course, students have been

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

student learning. In addition totheoretical calculations, students should be prepared to handle real life situations whichnecessitate quick and accurate decisions. To this end, the energy industry has adopted 3Dvisualization technologies and has acknowledged the change in learning styles of the newgeneration of engineers. Products such as Endeavor Drilling STS, RGU Oil and Gas InstituteVR, and PaleBlue Drilling Simulators are all enabling users to drill in simulated environmentsand train employees [1], [2], [3].VR provides a learning environment that can serve students with various learning styles.Research has shown that most engineering students are either convergers or assimilators in termsof their learning styles [4], [5]. Felder [6] explains

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)

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Computers in Education

, assignments, andlearning objectives over a period of time ranging from 1 class period to several weeks. Thispaper first discusses the pedagogical and assessment changes this integration entailed. Thefindings are then presented, with subsequent discussion guided by constructivist learning theoryand social interdependence theory.BackgroundComputing students and professionals alike commonly complain of an unpleasant sense ofisolation. It is a well-documented cause of attrition throughout the discipline, one to which thosefrom backgrounds already underrepresented in computing are particularly vulnerable [1].Though no silver bullet exists, both collaborative work and learning strategies (such as pairprogramming) are well-researched, commonly-practiced

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

. Like previous work, we found many common general errors, likeusing = rather than ==. However, we also found problem-specific errors, like misusing aparticular library function, leading to a first conclusion that a help system should allowteachers/authors to add problem-specific hints. Furthermore, we analyzed errors that caused thelongest struggle, and found some uncommon "one-off" errors, leading to a second conclusionthat a help system will not be able to detect all errors and thus might need automatedrecommending or alerting for human assistance (or other techniques).1 IntroductionIssues that students face in introductory programming classes (CS 1) can cause stress andfrustration among students, which can lead to attrition [1]. One issue is

Conference Session

Technical Session 11: Topics related to Computer Science

Collection

2019 ASEE Annual Conference & Exposition

Authors

Joe Michael Allen, University of California, Riverside; Kelly Downey; Kris Miller; Alex Daniel Edgcomb, Zybooks; Frank Vahid, University of California, Riverside

Tagged Divisions

Computers in Education

, they start workingon MSPs early, and they complete a majority of assigned MSPs each week.1. IntroductionStudent success in introductory programming courses (known as CS1) is critical to keepingstudents in computer science (CS), training students in other majors who need someprogramming, and attracting students to CS. Unfortunately, CS1 courses have many well-knownissues: high drop rates, low retention, high stress, academic dishonesty, and low grades [6, 8].Watson and Li [11] report that over the past 30 years, CS1 classes have a 30% non-passing rate.Beaubouef and Mason [4] state that drop rates between 30%-40% is now the norm for many CSprograms. These issues have drawn the attention of education researchers to find ways toimprove CS1.1.1

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

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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 10: Simulation and Modeling

Collection

2019 ASEE Annual Conference & Exposition

Authors

Yul Chu, University of Texas, Rio Grande Valley

Tagged Divisions

Computers in Education

Simulator can implement any detailedcharacteristics for a cache scheme, such as replacement policy,mapping function, average memory access time, coherenceprotocol, amount of bus traffics, power consumption, etc. AfterPIN Tool builds trace files, those files will be inserted into theSimple Simulator to collect the outputs to measure performance ofcache scheme.Introduction:For a computer architect, cache memory is a key functional unit toconsider in both increasing system performance and loweringpower consumption for multi-core processors [1]. Therefore, multi-core cache scheme has been a popular research and teaching topicin computer architecture communities. In this paper, we presenthow to design and implement a multi-core cache memory using

Conference Session

Technical Session 6: Modulus Topics Part 2

Collection

2019 ASEE Annual Conference & Exposition

Authors

Saed Talib Amer, Khalifa University; Jaby Mohammed, Khalifa University of Science and Technology; Ali Bouabid, Khalifa University of Science and Technology

Tagged Divisions

Computers in Education

resourcesexploitations then propose solutions that can be modeled and tested.IntroductionSustainability is defined with different terms within different scopes which confirms itsimportance to many professions. For example, sustainability in the economical scope can bedefined as the ability to maintain and increase the national Gross Domestic Products (GDP) orthe total amount of annual production produced within the borders of the country [1]. In anotherscope, sustainability is the maintenance of the community social structure and services that meetthe needs of the current communities and guide the future generation to uphold healthy socialvalues [2]. However, it takes faith in sustainability to build the pillars to save resources for nowand later. In other

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

Virtual Laboratory on Fluid Mechanics’. c American Society for Engineering Education, 2019 126th ASEE Annual Conference and Exposition Tampa, Florida, USA, June 15 - 19, 2019 Zhang, Z., Zhang, A., Zhang, M., Esche, S. K. Project-based Robotics Courses for the Students of Mechanical Engineering Technology Zhou Zhang, Andy S. Zhang, Mingshao Zhang, Sven K. EscheAbstractRobotics program at many Colleges has continued to become more and more popular. However,the students of the robotics program of Mechanical Engineering Technology (MET) are facingthree difficulties: (1

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

; and affective skills related to controlling your emotionalresponse to stressful or difficult situations [1]. As the decay of a skill depends greatly on thedegree to which the skill was learned, the higher the acquisition environment (e.g., immersivetraining), the longer the retention [2]. This approach can increase the skilled workforce whiledecreasing training costs and safety concerns. As the technologies in industry are rapidlychanging, providing suitable training programs are of utmost importance. Computer-basedlearning and other traditional training programs are not adequate in training for various situationsthat decision makers must deal with [3]. On-the-job training is not practical with high cost andsafety concerns in many on-site