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

Tagged Topics

Diversity

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Computers in Education

this information by asking students about who they are and what they want from the MOOC they are enrolling in. However, making sense of this survey data is challenging. Machine learning clustering techniques are a standard tool for identifying groups within data; however, two problems exist when trying to cluster survey data: (1) it is often not in a form easily interpreted by clustering algorithms and (2) survey data is frequently high dimensional, which standard clustering techniques cannot handle well. We describe a technique for converting survey data into machine interpretable feature vectors. We then propose analyzing the data using the 𝑛𝑛-TARP clustering technique which is capable of efficiently

Conference Session

COED: Online and Blended Learning Part 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

Zelin Zhu; Yuzhong Shen, Old Dominion University; Cheng Y. Lin P.E., Old Dominion University; Shuo Ren, Old Dominion University; Katherine Smith, Old Dominion University; Anthony W. Dean, Old Dominion University

Tagged Divisions

Computers in Education

graphical interface, as well as a more realistic rendition of the lab environment.Students can now use it to perform circuit wiring for combined electro-pneumatic experiments,just like on-campus students. Classroom use of Virtual Lab has demonstrated good performanceand effectiveness.1. IntroductionEducation and learning have become more accessible thanks to various online resources andtechnologies, such as MIT Open Courseware [1], edX (a Massive Open Online Course (MOOC)learning platform that runs on an open-source software platform (Open edX)) [2], KhanAcademy [3], YouTube [4], and WebEx [5]. While online education provides many newopportunities and resources to students and professionals, one limitation of existing onlineeducation is the absence

Conference Session

COED: Online and Blended Learning Part 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

Carole E. Goodson, University of Houston; Susan L. Miertschin, University of Houston; Barbara Louise Stewart, University of Houston

Tagged Divisions

Computers in Education

are in the areas of (1) information systems applications development and the complementary nature of back-end developer and front-end developer skill sets and (2) managing IT services. Her research interests are program and student as- sessment, the impact of instructional technology on student learning, and the improvement of e-learning environments and experiences.Dr. Barbara Louise Stewart, University of Houston Barbara L. Stewart is a Professor of Retailing and Consumer Science at the University of Houston. Her teaching and research interests are in the application of strategies to improve student learning and life enhancement in online courses. She has served as an academic administrator and in leadership

Conference Session

COED: Online and Blended Learning Part 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

Swaroop Joshi, Ohio State University; Neelam Soundarajan, Ohio State University; Jeremy Morris, Ohio State University

Tagged Divisions

Computers in Education

to the wiki! Leung and Chu [15] in a course on knowledge management and Juddet al. [13] in a large course on psychology report equally poor results of the use of a wiki. Rickand Guzdial [20] report that although they obtained positive results using wikis in architecture and 1 More commonly, the student will revise her original conception incorporating ideas from other students’ concep-tions rather than simply abandoning her original conception and picking one of the others.english composition classes, the results in STEM classes were “overwhelmingly disappointing”.For example, they report that fully 40% of math students settled for a zero on an assignment ratherthan engage in collaborative learning!In one respect, the work on

Conference Session

Computers in Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Robert L. Avanzato, Pennsylvania State University, Abington; Culllen G. Wilcox, Penn State Great Valley

Tagged Divisions

Computers in Education

hardware platforms can be programmedusing the same software tools. These results will be of interest to educators introducing low-cost, yet sophisticated robotics lab experiences into a diverse range of undergraduate engineeringcourses. These results also have significance to the introduction of robotics concepts in K-12 andSTEM activities.IntroductionRobot Operating System (ROS) is an open source, Linux-based robotics development anddeployment system which supports many commercial and research and development robots,including the Turtlebot, Husky, PR2, Baxter and as well as a variety of industrial and educationalrobots [1]. ROS provides a distributed, networked, message-passing system that provides astandard development and deployment software

Conference Session

Computers in Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Edward F. Gehringer, North Carolina State University; Ferry Pramudianto, North Carolina State University ; Abhinav Medhekar, North Carolina State University; Chandrasekar Rajasekar, North Carolina State University; Zhongcan Xiao, North Carolina State University

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Computers in Education

produce better estimates ofreview quality, and hence better estimates of the quality of reviewed work. This paper discussespast work in automatically assessing reviews, and summarizes our current efforts to build onthat work.Keywords: peer review, peer assessment, peer feedback, natural language processing,convolutional neural networks, Tensorflow1. IntroductionPeer assessment has been shown to improve student learning in disciplines all across thecurriculum [1]. A large number of online applications [2] have been written to facilitate studentsreviewing each other’s work. However, there is meager value in peer assessment unless studentsare careful and well informed in reviewing their classmates’ work [3].This suggests that reviews should not be

Conference Session

Computers in Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Fadi Castronovo, California State University, East Bay; Semih Yilmaz, California State University, East Bay; Akarsh Rao, Immersive and Interactive Research Group; Walter Condori Jr., California State University, East Bay; Karan Monga, STEM Educational Gaming Research Group; Hadiseh Gooranorimi, California State University, East Bay

Tagged Divisions

Computers in Education

University East BayCal State East Bay Mail - URGENT: ASEE Work-in-Progress Paper... https://mail.google.com/mail/u/1/?ui=2&ik=52a0fa3fad&jsver=7N... Fadi Castronovo URGENT: ASEE Work-in-Progress Paper #21140 Questions 1 message Fadi Castronovo Tue, Mar 13, 2018 at 8:18 PM To: schilling@msoe.edu, Semih Yilmaz Dear Editor, We greatly appreciate your helpful and encouraging comments on our paper # 21140 for the ASEE 2018 Annual Conference. We are especially grateful for your suggestions for future research directions. We will be incorporating your

Conference Session

Computers in Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Stephen Andrew Wilkerson P.E., York College of Pennsylvania; Stephen Andrew Gadsden, University of Guelph; Andrew Lee, University of Guelph; Robert Nicholas Vandemark; Elyse Hill; Amy Domenique Gadsden, University of Alberta

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Computers in Education

Alamos where he worked on modeling the transient dynamic attributes of Kinetic Energy munitions during initial launch. Afterwards he was selected for the exchange scientist program and spent a summer working for DASA Aerospace in Wedel, Germany 1993. His initial research also made a major contribution to the M1A1 barrel reshape initiative that began in 1995. Shortly afterwards he was selected for a 1 year appointment to the United States Military Academy West Point where he taught Mathematics. Following these accomplishments he worked on the SADARM fire and forget projectile that was finally used in the second gulf war. Since that time, circa 2002, his studies have focused on unmanned systems both air and ground

Conference Session

Computers in Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Wen Huang, Arizona State University, Polytechnic campus

Tagged Divisions

Computers in Education

Virtual Reality (HMD VR) ConditionIntroduction HMD VR has gained increased attention in last two years. Especially in the engineeringeducation field, it enables users to be fully immersed in a 3D simulated engineering workplaceovercoming the time and place limitation [1]. This characteristic is welcomed by engineeringfaculties, who have used various HMD VR applications to facilitate their class instruction.However, inequitable phenomenon may exist when students participate in learning activitiesunder HMD VR environment [2]. A typical case is reported by Kolomaznik, Sullivan, andVyvyan [3]. In a first-year science communication class, students were self-organized into smallgroups of four to six people to play a maze game. The role settings

Conference Session

Computers in Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Melissa Danforth, California State University, Bakersfield; Charles Lam, California State University, Bakersfield; Ronald Hughes, California State University, Bakersfield

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Diversity

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Computers in Education

socioeconomicallychallenged, area marked by low educational attainment. According to U.S. Census data, less than75% of the residents in Kern County, the largest county in the service region, hold a high schooldegree (or equivalent) and less than 16% hold a bachelor’s degree or higher [1]. In comparison,nationwide more than 85% of Americans hold a high school degree and more than 30% ofAmericans hold a bachelor’s degree or higher [2].CSUB is designated as both a Hispanic-Serving Institution (HSI) and Minority-ServingInstitution (MSI). As of Fall 2016, there are over 9300 students at CSUB, and nearly 2800 arewithin the School of Natural Sciences, Mathematics, and Engineering (NSME). Approximately60% of the students are female, although this drops to approximately 48

Conference Session

Computers in Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Mourya Reddy Narasareddygari, North Dakota State University; Gursimran Singh Walia, North Dakota State University; Alex Radermacher, North Dakota State University; Otto Borchert, North Dakota State University

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Computers in Education

in a Cyber Learning Environment during Introductory Computer Programming Courses-- An Empirical investigation1. Introduction:Introductory programming courses are known for their complexity and difficulty. They aregenerally accepted as a difficult courses to teach effectively and are similarly regarded asdifficult for students, who struggle to learn all the required competencies and skills [1].Achieving proficiency in programming related capabilities often requires improving aptitude inareas where students are unlikely to possess strong skills. These areas include critical thinkingtechniques, design strategies, and programming methodologies [2]. Because of this, students mayregard programming courses as onerous or as possessing unmanageable

Conference Session

Computers in Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Matthew Nelson, Iowa State University; Benjamin Ahn, Iowa State University

Tagged Divisions

Computers in Education

. Finally, we will discuss whatour future work will be as we continue this research.Research OverviewEngineering students are expected to have additional set of skills outside of the technicalengineering skills they learn in the classroom [1]. Professional skills are increasingly becomingessential skills that engineering students should possess. Professional skills have been recognizedby organizations such as the ABET as critical skills that students need to learn [2]. Because ofthat, many institutions are now putting more focus on professional development skills andexposing students to these skills. However, are there better ways to teach these skills to ourstudents? Perhaps we can take advantage of new technology to expose our students to

Conference Session

Computers in Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Ting-Ting Wu, National Yunlin University of Science and Technology; Yueh-Min (Ray) Huang, National Cheng Kung University; Pei-Yu Cheng, National Cheng Kung University

Tagged Divisions

Computers in Education

-Progress: Constructing a prediction model of creativity and cognitive concept connections based on learning portfolioAbstractThe skills required of new employees by industry are increasingly interdisciplinaryand creativity-related because of a paradigm shift in target markets. Engineeringeducation should therefore focus on helping students develop their creativity andcritical thinking skills. A student’s level of creativity is usually evaluated byexamining his or her final projects. However, the language that students use indiscussions and interactions can be analyzed to determine their cognitive processesand thus their creativity. This study collected 1 year of records of discussions andinteractions on a Moodle learning platform among students

Conference Session

Computers in Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Dazhi Yang, Boise State University; Steve R. Swasnon; Bhaskar B. C. Chittoori, Boise State University; Youngkyun Baek, Boise State University

Tagged Divisions

Computers in Education

-based Learning ApproachAbstract: This work in progress describes the design of a project-based, STEM +C(Computing) curriculum for 4th to 6th grade students in an afterschool setting, which ispart of a large NSF-funded STEM+C project. The paper reports the preliminary outcomeof the implementation of the first two STEM+C projects that focuses on student attitudestoward STEM and the computational thinking revealed during students’ scientific inquiryand problem solving processes.BackgroundComputational thinking (CT) is a fundamental skill that is equivalent to reading, writingand arithmetic skills [1]. CT involves problem solving, systems design, and“understanding human behaviors” [2]. CT is also a metacognitive process that consists ofsub-skills

Conference Session

COED: Online and Blended Learning Part 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Shuang Wei, Purdue University, West Lafayette ; Qingli Lei, Purdue University, West Lafayette; Yingjie Chen, Purdue University, West Lafayette; Yan Ping Xin, Purdue University, West Lafayette; Signe Kastberg, Purdue University, West Lafayette; Soojung Kim, Purdue University, West Lafayette

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Diversity

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Computers in Education

, West LafayetteSoojung Kim , Purdue University, West Lafayette ©American Society for Engineering Education, 2018 Evaluating the effects of highlighting text animations on the attention distribution of students with math learning difficultiesAbstract:Computer-assisted learning benefits students by providing a great number of multimediaresources for improving response strength, streamlining information acquisition, and promotingknowledge construction [1]. Highlighting techniques have been widely used and, within theframework of cognitive load theory, are recognized as effective methods guiding students’attention and reducing extraneous cognitive processes. This research study was designed toexamine the

Conference Session

COED: Gamification and Introducing Students to Programming

Collection

2018 ASEE Annual Conference & Exposition

Authors

Farzana Rahman, Florida International University

Tagged Divisions

Computers in Education

the next generation so they can be successful inthe workplace as well as in higher education pursuits. These efforts need to equip students withcomputational thinking skills so they can solve problems in different aspects of their life. Thegrowing trend in introducing computing to K-12 curriculum is one of many such efforts that haverevolutionized K-12 education in recent years.However, research shows that K-12 students find computer programming significantly hardercomparing it with other academic fields [1]. There is enough evidence that shows many noviceprogrammers at K-12 level, experience difficulties with learning programming concepts andapplying those concepts in solving problems. When it comes to learning Object-OrientedProgramming

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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Diversity

Tagged Divisions

Computers in Education

engineeringlaboratory. This app is capable of not only providing off-campus and distance-learning studentsan opportunity to practice the experiment on mobile devices, but also helping on-campusstudents to get familiarized with the experiment procedure prior to their physical laboratoryexperiment.1 IntroductionLiving in the 21st century, we are fortunate to have a rich amount of technologies and resourcesthat can help us learn new skills outside the traditional classroom learning environment. As theinternet continues to grow at a tremendous pace, we are able to take online classes and gainknowledge from online sources such as learning from streaming video (e.g. YouTube,lynda.com, etc.) and watching online lecture materials (e.g. MIT open course). While

Conference Session

COED: Mechanical Engineering-related Topics

Collection

2018 ASEE Annual Conference & Exposition

Authors

Joseph Michael Derrick, Indiana University-Purdue University of Indianapolis; Michael Golub, Indiana University-Purdue University of Indianapolis; Vaibhav R. Shrivastav; Jing Zhang, Indiana University-Purdue University of Indianapolis

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Computers in Education

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-Performance Relationships: thermal barrier coating, solid oxide fuel cell, hydrogen transport membrane, lithium-ion battery 2. Physics-based Multi-scale Models: ab ini- tio, molecular dynamics (MD), discrete element models (DEM), finite element models (FEM) 3. Coupled Phenomena: diffusion-thermomechanical properties 4. Additve Manufacturing (AM) or 3D Printing: AM materials characterization, AM process (laser metal powder bed fusion, ceramic slurry

Conference Session

COED Modulus Topics

Collection

2018 ASEE Annual Conference & Exposition

Authors

Afrin Naz, West Virginia University; Mingyu Lu, West Virginia University; Jordan Bowen, West Virginia University; Cody Ryan Zackoski

Tagged Divisions

Computers in Education

format, whereas our workshop in 2014was completely online. In 2016, we employed a “hybrid format,” including both face-to-face andonline. More than 30 high school and middle school teachers registered for the workshop in2016, and majority of them fulfilled the requirements of the workshop. Some of them havestarted applying what they learned from the workshop to their teaching. According to the dataand feedback we have collected to date, the hybrid format is well received by the participatingteachers.Previous WorkInitiated in 2009, Google Computer Science for High School program [1] aims to provideprofessional development opportunities for high school teachers in the discipline of computerscience. We organized a two-day face-to-face Google

Conference Session

COED: Online and Blended Learning Part 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Nebojsa I. Jaksic, Colorado State University, Pueblo

Tagged Divisions

Computers in Education

incorporate the newest technologies in theclassroom either as new course modules or as entirely new courses. Textbooks and laboratoryguides for these courses either don’t exist yet or are out-of-date due to fast-paced changes intechnology, low textbook volumes, and the significant expertise required to write them.The VR course at Colorado State University - Pueblo was designed to introduce graduate studentsto VR concepts through lectures and practical exercises culminating in a mechatronics-related VRproject. However, the developers of this VR course had to overcome a number of challenges. TheSherman and Craig [1] textbook chosen for the course is technologically outdated (published in2003), but is well organized and provides good explanations of

Conference Session

COED: Issues Impacting Students Learning How to Program

Collection

2018 ASEE Annual Conference & Exposition

Authors

Nabeel Alzahrani, University of California, Riverside; Frank Vahid, University of California, Riverside; Alex Daniel Edgcomb, zyBooks; Roman Lysecky, University of Arizona; Susan Lysecky, zyBooks

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Computers in Education

currently the Director of Content at zyBooks, a startup that develops highly-interactive, web-native textbooks for a variety of STEM disciplines. c American Society for Engineering Education, 2018 An Analysis of Common Errors Leading to Excessive Student Struggle on Homework Problems in an Introductory Programming CourseAbstractStudents make many errors in an introductory programming course (aka CS 1). While previousresearch reports common errors, some errors are normal, being corrected by students in areasonable amount of time, and being part of the learning process. However, some errors maylead to frustration due to excessive struggle, which may lead to student attrition. We defined astruggle metric using a

Conference Session

COED: Issues Impacting Students Learning How to Program

Collection

2018 ASEE Annual Conference & Exposition

Authors

Mahnas Jean Mohammadi-Aragh, Mississippi State University; Phyllis J. Beck, Mississippi State University; Amy K. Barton, Mississippi State University; Donna Reese, Mississippi State University; Bryan A. Jones, Mississippi State University; Monika Jankun-Kelly, Mississippi State University

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Diversity

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Computers in Education

first programming course [1]. Studies have examined many possible factors,and often focusing on identifying the areas of aptitude or student characteristics that are linked toinnate programming ability [2]. The limitation of examining factors in the context of innateability, however, is that they do not adequately address the wide range of abilities and challengesrepresented in a typical first-year programming course. Additionally, the limitation to designingpedagogy with the idea that a student is either born a programmer or not leaves students withlittle control over their success or failure within a course. In contrast, pedagogical approachesthat encourage students to monitor their own learning can help the student recognize their abilityand

Conference Session

COED: Mechanical Engineering-related Topics

Collection

2018 ASEE Annual Conference & Exposition

Authors

Zhou Zhang, New York City College of Technology; Andy S. Zhang, New York City College of Technology; Mingshao Zhang, Southern Illinois University, Edwardsville; Sven K. Esche, Stevens Institute of Technology

Tagged Divisions

Computers in Education

students’ interest in this course, which also improved their performance.1. IntroductionRobotics is becoming one of the most attractive majors in the Colleges of Technology because ofthe advantages in respect of applications, jobs, and prospects. Therefore, more and more Collegesof Technology have or are planning to create robotics program. Usually, as an interdisciplinaryfield, the robotics programs are provided by either Computer Engineering Technology or MET.However, students of Engineering Technology, especially MET, are facing two dilemmas whenproviding robotics courses:(1) Technology programs mainly focus on hands-on skills and there are fewer fundamentalrobotics-related courses in the MET curriculum than in electrical engineering

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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Diversity

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Computers in Education

development environment specificallydesigned for teaching and learning object-oriented programming. It consists of a simple interfacethat is interactive and designed for teaching. The majority of educational data mining researchfor introductory programming classes in Java utilizes the BlueJ system.Other free and commercial auto grading tools and platforms are emerging such as AutoGradr,HackerRank, Web-CAT, Vocareum, Taskgrader and more.4. CeMeCodeOur coding window, CeMeCode, is a lightweight web based coding environment, developed byour team. It integrates with Dartmouth’s single sign-on authentication systems and can beembedded into other tools such as our Learning Management System (see Figure 1) and our in-class response system.CeMeCode is

Conference Session

The Best of Computers in Education

Collection

2018 ASEE Annual Conference & Exposition

Authors

Zhen Wei; Carlotta A. Berry, Rose-Hulman Institute of Technology

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Diversity

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Computers in Education

familiar with to reduce thelearning curve to robot control success for the student. This paper will present the design andimplementation of this educational robotics platform as well as results of testing the initialprototype by discussing the creation of basic behaviors on the robot such as wall following andobstacle avoidance by using various languages and devices.Literature ReviewMany educational institutions use robotics and mechatronics for multidisciplinary and problembased learning [1]-[8]. These activities are reasonable considering robots are ideal for illustratingconnections between disciplines as well as for multidisciplinary teamwork, which is one of theABET criteria for engineering program graduates. This literature review will

Conference Session

COED: Autograding and Autoadvising

Collection

2018 ASEE Annual Conference & Exposition

Authors

Webster R. Johnson, California State University, Chico

Tagged Divisions

Computers in Education

dimensions and, finally, errors. Occasionally when a graderinspects the similar submissions of a large class, two or more drawings appear to differ only by afew superficial relocations of dimensions or views. Holding two such drawings, one atop theother, to a light may suggest but does not prove of plagiarism. An example prepared by theauthor is shown in Figure 1. Figure 1: Nearly identical drawings of the same CAD assignment. Page 1 of 7It became obvious to the author that an alternate method of detecting plagiarism was not onlydesirable but possible. Programming tools available in SolidWorks allowed the quick scanningof the part files instead of the drawing files.The program developed for

Conference Session

COED: Autograding and Autoadvising

Collection

2018 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education

assumptions tosimplify problems, choose equations and solution methods, break complex problems down intocomponent parts, link component parts together to form solutions for complex engineeringsystems, and reflect on the results of the analysis and associated design they learn engineering.Throughout this learning process, formative assessment and feedback effectively guides studentstoward mastery of learning objectives [1], [2]. The engineering instructor learns to identifyproblems that will provide students with the necessary skills to be successful in their course.For years, chapter-end problems and solution manuals have provided instructors a helpful tool forassigning and assessing students work as part of this learning process. Over time, students

Conference Session

COED Modulus Topics

Collection

2018 ASEE Annual Conference & Exposition

Authors

Matthew A. Verleger Ph.D. (He/His/Him), Embry-Riddle Aeronautical University

Tagged Divisions

Computers in Education

-Eliciting Activities Learning System (MEALearning.com), a site designed for implementing, managing, and re- searching MEAs in large classes. c American Society for Engineering Education, 2018 Developing Reviewer Profiles Using Analysis of Prior AuthorshipAbstractBackgroundPeer review is a cornerstone of academic research dissemination. It is a fundamental prerequisitefor “good” research, even though the process of selecting reviewers is largely shrouded inmystery. Under ideal conditions, reviewers are experts on a paper’s topic, but the process ofidentifying that expertise varies widely from publication venue to venue.Purpose (Hypothesis)The purpose of this paper is to (1) identify some of the methods

Conference Session

COED: IOT and Cybersecurity

Collection

2018 ASEE Annual Conference & Exposition

Authors

Alan Jones, Indiana University-Purdue University of Indianapolis; Michael Golub, Indiana University-Purdue University of Indianapolis

Tagged Divisions

Computers in Education

lackingexperimental capacity as well as for many students with physical disabilities. Students areincreasingly required to use computer-based systems, such as Blackboard, Canvas and otherlearning management software (LMS) to complete course requirements and have demonstratedproficiency with computer-based homework and assignments [1]. However, utilizing VRexperiments for traditional lab requirements with current generation VR hardware is relativelynovel to both the faculty and the students. This study evaluates the participant’s (the students)perceived effectiveness of performing VR labs using the HTC Vive VR hardware system. Current generation VR hardware provide such a remarkable level of immersion andfeeling of actual presence in the VR

Conference Session

COED: IOT and Cybersecurity

Collection

2018 ASEE Annual Conference & Exposition

Authors

Abul K. M. Azad, Northern Illinois University; Veysel Demir, Northern Illinois University; Hemanth Kumar Kachadimangalam Ramakrishnan, Northern Illinois University

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Computers in Education

to the remote server tomonitor performance.1. IntroductionThe Internet of Things (IoT) has added a new element to the world of engineering andtechnology. With the advent of IoT, a large number of devices are now being connected tothe web for data collection, management, and control [1, 2, 3, 4]. As a subset of IoT, remotelaboratories allow to access laboratory equipment over the web to perform experiments. Atraditional remote laboratory system involves a full-scale computer system along withassociated interfacing and web hosting technologies, but sometimes there is significantoverhead for the initial commission and subsequent maintenance of a remote laboratorysystem [5, 6]. To address this issue, this paper reports the design