Conference Session

General Technical Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Nebojsa I. Jaksic, Colorado State University, Pueblo; Pratik Dilip Desai; Ryan Van Deest; Jude L. DePalma, Colorado State University, Pueblo

Tagged Divisions

Computers in Education

attitudes towards independent designs via exposures tomodern technologies like 3D printing and PSoC (Programmable System-on-Chip) programming,was achieved. The following workshop students’ outcomes: (1) an ability to successfully designand 3D-print an object that is a part of an assembly; (2) an ability to successfully wire/solderLEDs and sensors to a PSoC, and (3) an ability to successfully program a PSoC as demonstratedby creating a smart lamp were also met as substantiated by pre- and post-tests, attitudequestionnaires, and informal short interviews with participating students.Introduction Computer and 3D-printing revolutions are in full swing. As a result, the need forengineers educated in both of these technologies is increasing. The

Conference Session

Mobile Devices and Apps

Collection

2015 ASEE Annual Conference & Exposition

Authors

Mohammadjafar Esmaeili, University of Dayton; Ali Eydgahi, Eastern Michigan University; Ilkhomjon Amanov, Eastern Michigan University

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Diversity

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Computers in Education

exceptAnxiety have positive relationships with students’ behavior of using smartphones in classrooms.1. IntroductionOne of the main technologies that have dominated the classroom is the smartphones. Page 26.1224.2Smartphones are one of the most popular devices that allow the users to connect to the internet,check emails, connect to social medias, etc.. Due to these functionalities, smartphones have beenwidely used by new generations and college students. Many researchers are debating whetherusing technologies such as laptops help students to learn better. Although several studies havebeen done to show the impact of different technologies on students

Conference Session

Computers in Education Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Xiaobing Hou, Central Connecticut State University; Shuju Wu, Central Connecticut State University; Karen Coale Tracey, Central Connecticut State University

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Diversity

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Computers in Education

industry change moretimely than the fundamental courses.The department’s connection with industry also set up a channel for students to exploreinternship opportunities, which is required for their graduation. The IAB members are invited tovisit our classroom frequently and interact with students directly. Their presentations givestudents an insight to what industry is looking for. It’s worth mentioning that this connection isalso set up at school level [1] and university level [2] collaborated with the department,providing students multiple but consistent channels to industry. In addition, donation from thelocal industry helps upgrade the NIT laboratory with cutting-edge equipment.In summary, the industry has provided the new program with various

Conference Session

Innovative Teaching

Collection

2016 ASEE Annual Conference & Exposition

Authors

Deng Cao, Central State University; Zhiqiang Wu, Wright State University; Bin Wang, Wright State University; Chi-Hao Cheng, Miami University

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Diversity

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Computers in Education

-relatedcourses, and the course assessment showed positive learning outcomes. The exploratoryproject is a work in progress and we will continue the development in order to lead anational model of SDR laboratory based courses.1. IntroductionToday, there are more than 355 million wireless subscribers in the US, which is 110% ofthe US population. There are 208 million smart phones and 35 million tablets, and 44%of US households are wireless only. It is reported that every $1 invested in wirelessdeployments amounts to $10 in added Gross Domestic Product, including impact uponjobs and wages1. The explosion of wireless technology has made it a hot topic inundergraduate education. Many talented students in the Science, Technology,Engineering, and Mathematics

Conference Session

Innovative Teaching

Collection

2016 ASEE Annual Conference & Exposition

Authors

Mohammad Rafiq Muqri, DeVry University - Pomona; Javad Shakib, DeVry University - Pomona; Hasan Muqri; Moe Saouli, DeVry University - Pomona

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Computers in Education

will also be discussed.This will go a long way in motivating technology students to take this important, professionalexam, eliminating their fear, improving their understanding, and reinforcing the best practices forlife-long learningIntroductionThe Fundamentals of Engineering (FE) exam is typically the first step in the process leading tothe P.E. license. It is designed for recent graduates and students who are close to finishing anundergraduate engineering degree.The National Institute for Certification of Engineering Technologies (NICET, a division ofNational Society of Professional Engineers (NSPE)) defines technologists 1 as follows:“Engineering technologists are members of the engineering team who work closely withengineers, scientists

Conference Session

Innovative Use of Technology II

Collection

2015 ASEE Annual Conference & Exposition

Authors

Peter Jamieson, Miami University; Jeff Eaton, Miami University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

the mind map to see if there is evidence of learning, and in this work, we combine ideas from two of the most successful of these metrics by creating a new tool that checks if small sub-graphs exist in both a student and the criterion map (an experts mind map). By analyzing the results of these matches, we create a global metric that we then compare to our previous metrics and find that this new metric has similar behavior. This is positive since this metric provides a means for more interesting feedback to students.1 IntroductionIn this paper, we evaluate a new mind map analysis metric that compares an experts mind map(called the criterion map) to a students map to evaluate how similar the two maps are. In

Conference Session

Teaching and Advising Tools Using Computers and Smart Devices

Collection

2016 ASEE Annual Conference & Exposition

Authors

Burchan Aydin, Texas A&M University - Commerce; Muge Mukaddes Darwish, Texas Tech University; Emre Selvi, Jacksonville University

Tagged Divisions

Computers in Education

(LMS). The authors utilized the State-of-the-Art Matrix analysis,which is a research method that has been used extensively in the last decade. It is a systematicevaluation of existing research by using several statistical methods. Pareto analysis andHistograms are part of this analysis. The analysis revealed several gaps: (1) engineering studentshave not been the main focus of research in any studies, (2) there is no research that comparesusability of LMS between different academic disciplines, (3) there is no modeling effort forunderstanding if engineering students and instructors need different LMS design than otherdisciplines, (4) primary framework development for evaluating LMS has declined, (5) discountusability methods (heuristics) have

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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Diversity

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Computers in Education

analysis.” Prerequisite: Calculus III with a grade of “C” or better.While the course has a good coverage of the statistical topics listed in the catalog description,most of the examples fall into the physical or social sciences rather than engineering. Thestudents learn statistical techniques but they do not see the correlation with their own curriculum.Statistics becomes, in their minds, a separate course with little or no application beyond passinga requirement for their degree16.The degree sequences, especially with regard to the mathematics content, are similar for bothmajors as shown in Figure 1. The course is recommended to be taken in the junior year when thestudents are taking their core electrical or computer engineering courses. Many do

Conference Session

Computer-Based Tests, Problems, and Other Instructional Materials

Collection

2015 ASEE Annual Conference & Exposition

Authors

Alex Daniel Edgcomb, University of California, Riverside; Joshua Sai Yuen, University of California, RIverside; Frank Vahid, University of California, Riverside

Tagged Divisions

Computers in Education

a "5" on a 1 to 5 scale(5 is best) by a professor / professional animation author. Furthermore, some studentsshowed the ability to effectively rate student-created animations; the top 10% of studentratings was strongly correlated with the professor ratings with R-value = 0.88 (p-value <0.001).For questions, we conducted experiments involving 25 participants from an introductoryembedded programming course. Students were asked to create and rate practice questionsfor various embedded programming topics. Some students could effectively ratequestions: the average of the top 20% of student ratings was strongly correlated with theprofessor rating with R-value = 0.82 (p-value = 0.02). However, students did not showthe ability to create good

Conference Session

Data Analysis and Assessment

Collection

2015 ASEE Annual Conference & Exposition

Authors

Cinda Heeren, University of Illinois, Urbana-Champaign; Wade Fagen-Ulmschneider, University of Illinois, Urbana-Champaign

Tagged Divisions

Computers in Education

lab hours attended by instructional staff. Students visit theopen lab to work on computer-based assignments, and staff address questions as they arise,thereby providing just-in-time instruction and removing barriers to student progress. We havedeveloped an online queuing system that we use to schedule student assistance in many of ourcore computing courses. While electronic queuing systems have been used in computing labs fordecades, our web tool is instrumented to record a complete historical log of interaction timesbetween students and staff. The analysis presented in this paper is our first attempt to understandwho uses the open labs, and when, and what benefit they receive by doing so.1. Introduction: Dramatically increasing

Conference Session

Technology-Related Educational Research

Collection

2016 ASEE Annual Conference & Exposition

Authors

Craig Zilles, University of Illinois, Urbana-Champaign; Matthew West, University of Illinois, Urbana-Champaign; David Mussulman, University of Illinois, Urbana-Champaign

Tagged Divisions

Computers in Education

learn about student preferences and behaviors regarding their exam times. This paper exploresthe exam times that students choose, when students make and change their reservations, and thecorrelation between when students choose to take exams and their exam performance.Among our results, we find that students prefer to take exams in late afternoon/early eveningtowards the end of the exam period. In addition, we find that students frequently re-schedulewhen they take exams; 42% of reservations are later canceled/rescheduled. Finally, we find thatthere is a correlation between how early in the exam period a student takes an exam and theirscore on the exam.1 IntroductionIn large classes, running exams can be a logistical nightmare, which leads

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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Diversity

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Computers in Education

comparison between the traditionalmethods and the proposed procedures, it was demonstrated that the latter significantly sped up theprocess of creating virtual laboratory implementations.1. IntroductionAlthough the concept of virtual reality (VR) has not been universally defined, VR is used torepresent the real world by a computer-simulated virtual representation of it. 1 Many forms of VRcan be found at present, and they can be divided into four main types: desktop VR, immersive VR,distributed VR and augmented VR. In the environment of VR, multiple users can manipulate andshare the virtual representations of the real world. At the same time, they can also cooperate witheach other. VR systems are inherently safer and less failure prone than their

Conference Session

Online Teaching

Collection

2015 ASEE Annual Conference & Exposition

Authors

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

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Diversity

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Computers in Education

Paper ID #11964Time Management Skills and Student Performance in Online CoursesProf. Susan L. Miertschin, University of Houston (CoT) Susan L. Miertschin, M.Ed., M.S.I.S., is an Associate Professor teaching in the Computer Information Systems program at University of Houston. Her teaching interests 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

Conference Session

Computers in Education Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Peter Goldsmith P.Eng., University of Calgary

Tagged Divisions

Computers in Education

platform may be used to create dynamicexams and textbooks in which students can physically interact with exam questions andinstructional examples. This work in progress describes the educational requirements of thesystem and the technical challenges involved in the initial development of the first FLATLABmodule.1 ObjectivesEffective instruction can be Assessment-centered (A), Student-centered (S), or Knowledge-centered (K) 1 , but these models need not be mutually exclusive. In this work in progress, wepropose a visuo-haptic learning platform that integrates these three models into a unified (ASK)paradigm suitable for assessment, study, and teaching.The platform is called FLATLAB, a Focused Learning, Assessment, and Teaching Laboratory

Conference Session

Best of Computers in Education Division

Collection

2016 ASEE Annual Conference & Exposition

Authors

Paul Morrow Nissenson, California State Polytechnic University - Pomona; Todd Dale Coburn P.E., California State Polytechnic University - Pomona

Tagged Divisions

Computers in Education

and lessonslearned that can be used to improve other MOOC offerings. The authors give suggestions on howto attract potential learners, minimize and recover costs, improve passing rates, and respond toparticipants’ inquiries despite a seemingly overwhelming participant-to-instructor ratio.1. IntroductionMassive open online courses (MOOCs) are a relatively recent phenomenon in higher education.The term was first used at the University of Manitoba in 2008 for a course in which 25 payingstudents were joined by approximately 2200 non-paying members of the general public [1, 2].Interest in MOOCs exploded in the national media in 2011 when Stanford University attractedapproximately 160,000 students for an "Introduction to Artificial Intelligence

Conference Session

Software and Programming

Collection

2016 ASEE Annual Conference & Exposition

Authors

Frank Vahid, University of California - Riverside; Alex Daniel Edgcomb, Zybooks; Bailey Alan Miller, Zyante Inc.; Tony Givargis, University of California - Irvine

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Computers in Education

 languages in the 1990's/2000's.   Today,  even  relatively­simple  embedded  systems  in  practice  may consist of tens of thousands of C  code.  However,   introductory  courses  and  textbooks  mainly  still  focus  on  configuring  and interfacing  with  peripherals,  with  little  guidance  provided  to  students  on  how  to  write programs that  are  elegant,  robust,  and  scalable.  The  result  is  that much embedded systems code, including much  commercial  code,  follows  no  particular  programming  discipline,  is  prone  to  bugs,  and  is hard  to  maintain.  Many  commercial  embedded  systems  projects  fail  to  become  products,  or  1​experience  failures  in  the  field,  as  a

Conference Session

Computers in Education Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Abul K. M. Azad, Northern Illinois University; Syed Abdul Hadi Razvi, Northern Illinois University

Tagged Divisions

Computers in Education

server. The proposedsystem uses an Arduino board to reduce the implementation costs and design complicacy as wellas the physical size of the system. The development process has allow the group to understandthe capabilities and challenges of microcontrollers for remote laboratory applications.Considering this is a work-in-progress, this paper provides a development description of thesystem; full details will be reported at a later stage.1. IntroductionWith the advent of the Internet of Things (IoT) we are not far from a time in which objects,animals, and people will be provided with a unique identifier, through which they cancommunicate from anywhere-anytime via a network connection.1,2,3 This philosophy is alreadybeing used in education

Conference Session

Computers in Education Division Poster Session

Collection

2016 ASEE Annual Conference & Exposition

Authors

Todd D. Morton, Western Washington University; Ying Lin, Western Washington University

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Diversity

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Computers in Education

softwaredevelopment eco-system.The hardware tool adapted for this work includes the NXP Kinetis TWR-K65F180Mdevelopment board and an in-house designed CODEC board. Both of these boards are used aspart of the NXP Tower System Modular Development Board Platform as shown in Figure 1.This system allows for additional boards to be added for additional features. For example, wehave an in-house developed user interface board with a character LCD module and keypad. Figure 1: DSP platform based on TWR-K65F180M board and custom CODEC.Kinetis TWR-K65F180M development boardThe development board is based on the NXP Kinetis K65 microcontroller. The K65microcontroller is ARM Cortex-M4 based, runs at a clock speed of 180 MHZ, and has floatingpoint and DSP extensions

Conference Session

Computers in Education Division Poster Session

Collection

2016 ASEE Annual Conference & Exposition

Authors

Kenneth A. Ritter III, University of Louisiana, Lafayette; Terrence L. Chambers PE, University of Louisiana, Lafayette; Christoph W. Borst, University of Louisiana, Lafayette

Tagged Divisions

Computers in Education

allow for moreefficient learning and cognitive material intake [1][2]. It has been statistically shown thatstudents are more motivated by game-based learning and that this has a significant impact ontheir learning achievement [3]. Serious game tasks can promote 21st century problem solvingskills and knowledge of concepts [4]–[6]. Interaction with a 3D environment in VR is powerfulto both static and dynamic information, and some of the most well-engineered and commerciallysuccessful applications for direct-manipulation interfaces are video games [7]. Using knowledgetests, immersive serious games have been shown to captivate students more than traditionalmethods, leading to superior retention [8].Increased motivation and engagement can result

Conference Session

Teaching and Advising Tools Using Computers and Smart Devices

Collection

2016 ASEE Annual Conference & Exposition

Authors

Oscar Antonio Perez, University of Texas - El Paso; Virgilio Ernesto Gonzalez, University of Texas - El Paso

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Diversity

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Computers in Education

agents as shown in Figure 1. Due to all of the previously mentionedcharacteristics, a large gap in communication leaves a lot of room for the optimization of thisprocess. In order to optimize the advising process in the setting previously defined and keeping inmind a systems approach to this challenge, we are proposing the application of a multi-agenttechnique that will allow the students to take more control of their individualized advising. Thisproposed system is similar to the smart grid concept which was chosen due to the positivefeedback from the implementation of such distributed control systems5. In this context, thestudent tool becomes an agent and the program administrators become operators that provide(with certain flexibility

Conference Session

Data Analysis and Assessment

Collection

2015 ASEE Annual Conference & Exposition

Authors

Cory Brozina, Virginia Tech; David B. Knight, Virginia Tech, Department of Engineering Education

Tagged Divisions

Computers in Education

questions to answer:1) How do the number of learning management system sessions per student vary based on coursegrade, gender, lecturer, and workshop leader?2) How do the number of learning management system sessions per student for different toolsvary based on course grade, gender, lecturer, and workshop leader? Theoretical frameworkWhile learning analytics approaches have sought to understand the effective learning processesof students, which as noted helps students, such projects can also help faculty members byproviding them with a more in-depth portrayal of their students. However, the value toeducational researchers has not been fully realized because of the lack of educational theorywithin learning

Conference Session

Online Teaching

Collection

2015 ASEE Annual Conference & Exposition

Authors

Paul Morrow Nissenson, California State Polytechnic University, Pomona; Angela C. Shih, California State Polytechnic University, Pomona

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Computers in Education

, an expanded version of the MOOC will be offered during Spring 2015.1. IntroductionDuring the past few years, many universities have developed and offered massive open onlinecourses (MOOCs) for a variety of reasons including outreach, extending access to education,promoting the university brand, increasing revenues, improving educational outcomes for bothMOOC participants and on-campus students, and conducting research on innovations in teachingand learning.1 MOOCs have the attractive characteristic of being able to reach thousands ofpeople per offering and may play an important role in higher education in the future. Mostuniversities do not offer official university credit through MOOCs, but participants often areeligible to receive a

Conference Session

Computer-Based Tests, Problems, and Other Instructional Materials

Collection

2015 ASEE Annual Conference & Exposition

Authors

Dongdong Zhang, Prairie View A&M University; Xiaobo Peng, Prairie View A&M University; Bugrahan Yalvac, Texas A&M University; Deniz Eseryel, North Carolina State University; Uzair Nadeem, Prairie View A&M University; Atiq Islam, Prairie View A&M University; Deron Arceneaux, Prairie View A&M University

Tagged Divisions

Computers in Education

(1) investigates the development of higher-order thinking and complex problem-solving competencies following a comprehensive framework that includes cognition, metacognition, cognitive regulation, motivation, emotion, and epistemic beliefs; (2) develops innovative assessment methods that can benchmark progress of learning and the development of com- plex problem-solving competencies; (3) develops new and effective approaches to design state-of-the-art digital learning environments (such as intelligent tutoring, system dynamics modeling, simulations, vir- tual reality, and digital games) to facilitate complex problem-solving competencies; and (4) investigates effective ways to prepare teachers and administrators

Conference Session

Simulation

Collection

2015 ASEE Annual Conference & Exposition

Authors

Camilo Vieira, Purdue University; Alejandra J. Magana, Purdue University, West Lafayette; Anindya Roy, Johns Hopkins University; Michael L. Falk, Johns Hopkins University; Michael J. Reese Jr., Johns Hopkins University

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Computers in Education

description of how we implement IPS. Weargue in this work that computational literacy can be acquired more effectively when weintroduce computational tools and methods in the context of solving disciplinary engineeringchallenges.MethodsThe CourseThe CPMSE course was designed using the How People Learn framework4. It is knowledgecentered, learner centered, and community centered. It uses MATLAB as the programmingenvironment and the learning objectives are5: (1) Write MATLAB programs to execute well-defined algorithms. (2) Design algorithms to solve engineering problems by breaking these into small tractable parts. (3) Model physical and biological systems by applying linear systems and ordinary and partial differential

Conference Session

General Technical Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Jeremy Wayne Gilreath, Guilford College; Chafic Bou-Saba, Guilford College

Tagged Divisions

Computers in Education

continue to place increasing emphasis on supporting open-source hardware andsoftware, and the Raspberry Pi provides an affordable, flexible, multi-purpose platform for bothbeginners and experts to personalize into a wide range of useful and specialized products.IntroductionThe Raspberry Pi, see Figure 1, is an inexpensive and small-sized single-board computerinvented by the Raspberry Pi Foundation, 1 a registered charity in the United Kingdom whosemission is to use the Raspberry Pi in classrooms to promote affordable education in the computersciences worldwide. Students of all ages across the world use this open-source device to learnand experiment in computer science, programming, and electronics. 2 A variety of Linux-basedOS's are supported on

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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Diversity

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Computers in Education

students sit in front of the camera and the virtual laboratorysystem monitors their facial expressions and head motions in order to identify suspiciousbehaviors. Upon detection of such suspicious behaviors, the system records a video for furtheranalysis by the laboratory administrator. An evaluation of the feasibility of this approach ispresented.1. IntroductionAs one of the most important implementations of virtual reality (VR), virtual laboratories (VLs)are becoming more and more popular at various levels of education and in various fields oftraining. There are several factors that speed up the development of VL systems. The first factor isthe wide-spread adoption of the Internet which provides the possibility of remote access to VLs

Conference Session

Virtual Instruction and Collaboration

Collection

2015 ASEE Annual Conference & Exposition

Authors

Obasegun Tekena Ayodele, Obafemi Awolowo University; Lawrence O. Kehinde, Obafemi Awolowo University, Ile-Ife, Osun State; Olawale Babatunde Akinwale, Obafemi Awolowo University, Ile-Ife, Nigeria

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Computers in Education

great distances.A sketch of a typical remote lab model is shown in figure 1. Figure 1: Typical Remote Lab Structure 21.1 Issues of Remote LabsSeveral advances in laboratory education have been credited to remote labs3. Remote labs havebeen found to be successful in teaching and research in several different areas such as digitalprocess control4, 5, 6, aerospace applications5 , PID control7, 8 , digital electronics9, robotics10, 11predictive control, embedded communication systems12 and real-time video and voiceapplications. Despite the successes of remote labs, they face a number of challenges. In ourexperience, one of the most prominent challenges to remote labs is the rapid loss of interest bythe students when

Conference Session

General Technical Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Michael Geoffrey Brown, University of Michigan

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Diversity

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Computers in Education

using theScience of Science toolkit27. From this sample, an actor-paper citation network wasextracted, as well as a bibliographic coupling network. These networks were thenexported into R for analysis and visualization. The author paper citation network allowedfor the identification of the most popular publication venues. Those results then drove thedevelopment of a journal-seeding network. Each approach is described in further detailbelow.''''''''''''''''''''''''''''''''''''''''''''''''''''''''1'It'is'worth'noting'that'a'similar'search'in'Google'Scholar'returns'7,790'articles.'However,' Page

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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Diversity

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Computers in Education

careful handling of two types of knowledge called episteme byAristotle (meaning theoretical knowledge) and phronesis referring to practical knowledge [1]. Itis the practical knowledge that is interesting to the student and immediately useful to thecommunity. However, it has been realized that the practical knowledge cannot be easily taught ina class room setting as it requires lots of time and experience. The use of case studies is thereforeimportant because it taps into practical knowledge and real world experiences that students areable to relate to and learn from. Among many other educational tools that have been developedto realize the learning objectives in computing field, tools based on case studies are definitely inshort supply [2

Conference Session

Computers in Education Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Nannan He, Minnesota State University, Mankato; Han-Way Huang, Minnesota State University, Mankato; Navya Mereddy

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Diversity

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Computers in Education

BoosterPack plugin-in modules is a flexible, cost-effective,well-supported platform for teaching embedded networking and developing IoT applications.1. IntroductionThe recent industry survey shows that around 60% of new embedded designs include networkingcapabilities 1. As IPv4 is giving way to IPv6, every device on the Internet can have its ownunique IP address. The number of connected devices on the Internet is predicted to surpass 50billion by 2020. Such growing interconnected web of devices is often referred to IoT. Thesedevices vary from personal electronics to industrial machines and sensors. The majority ofdevices in the IoT contain 32-bit MCUs with large flash memory and the wide range of standardI/O interfaces including networking. As IoT