Conference Session

Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Kenie R. Moses, Educational Technology Research & Assessment

Tagged Divisions

Computers in Education

effects ofthe MLE on student exam scores over three examination periods. The combinedexperimental group (n = 37) showed statistically significant increases in mean studentachievement over the control group. This research proposed that MLE-based digitaltutors have the potential to connect anywhere, anytime learning with domain-specificinformation and provide students with instructional strategies that scaffolds learning.(Abstract) Keywords—MLE, ubiquitous, domain-specific, scaffolding Introduction Degrees in engineering awarded by US universities to US citizens dropped by 23% over the pastdecade [1]. One specific reason for this decline can be attributed to dropout rates. Accordingto Belasco [2

Conference Session

Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Kenie R. Moses

Tagged Divisions

Computers in Education

users. Although students who utilized CircuitITS experienced adecreased perceived ability to problem solve, both tutors showed significant increases inexamination scores. (Abstract) Keywords—mobile learning environment, self-efficacy, metacognitive support Introduction Circuit Analysis (Network Theory) is fundamental “gateway” course that most engineeringstudents must take as part of their engineering curriculum and is also a course that has the highestattrition rates among engineering courses [1, 2]. High attrition rates contribute to an increase indropout rates and according to Belasco [3], 60% of students enrolled in engineering courses dropout or change their major in the first year

Conference Session

Technical Session 3: The Best of Computers in Education

Collection

2019 ASEE Annual Conference & Exposition

Authors

Shaya Wolf, University of Wyoming; Fiona P. Moss, University of Wyoming; Rasana Manandhar, University of Wyoming; Madison Cooley, University of Wyoming; Rafer Cooley, University of Wyoming; Andrea Carneal Burrows Borowczak, University of Wyoming; Mike Borowczak, University of Wyoming

Tagged Divisions

Computers in Education

, Complex Adaptive Systems, and network protocols. He is currently working on bio-inspired solutions for securing industrial control systems.Dr. Andrea Carneal Burrows, University of Wyoming Andrea C. Burrows is currently an Associate Professor in the Department of Secondary Education at the University of Wyoming, where she teaches courses in science methods and pedagogy. Dr. Burrows taught at Northern Kentucky University for five years. In 2010, she was hired as an external evaluator to con- duct research on community/university partnership relations at the University of Cincinnati. She has re- ceived several awards including the: 1) Lillian C. Sherman Award for outstanding academic achievement (2011); 2) UW College of

Conference Session

Computers in Education Division Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Bruce W. Char, Drexel University (Computing); Thomas T. Hewett, Drexel University

Tagged Divisions

Computers in Education

meeting a two hour proficiency exam. There werean on-line pre-lab prep quiz, and a post-lab on-line homework assignment. The course typicallyran as approximately 30 lab sections of 30-35 students, across 20 different time periods. This isan example of a “flipped classroom,” in that most of the contact time was spent in active learningfrom lab activities.Choice of languageThe first version of the course used Maple2 as the computation system and programminglanguage. Maple was selected for several reasons. 1. Maple is interactive, similar to systems such as Python, MATLAB or Mathematica that allow immediate execution and display of a single operation without a compilation phase. This leads to more immediate feedback and interaction

Conference Session

Computers in Education Division Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Denise H. Bauer, University of Idaho, Moscow; Edwin M. Odom, University of Idaho, Moscow

Tagged Divisions

Computers in Education

decided to use a Fitter Rocker balance board (Figure 1) due to the ability to reuse it eachsemester and the ease of attaching a holder for the Smartphone while testing. We also knew avariety of tests could be performed with minimal time commitment and funds, two veryimportant aspects of the course. Eight students selected the “Stability” project in the Fall 2013semester even after the class was told that they would be creating this project from scratch. Theyformed two teams of four students each and were initially tasked with finding an appropriate app(Accelerometer Monitor, Dev: Mobile Tools, Version 1.6, Android IOS) to use (Figure 2) andbuild a casing to hold the measuring device. Developing an app would have been more timeconsuming and

Conference Session

Computers in Education Division Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Rachel M. White, Oregon State University; Bill Jay Brooks, Oregon State University; Debra M. Gilbuena, Oregon State University; Milo Koretsky, Oregon State University

Tagged Divisions

Computers in Education

Warehouse Student Application mirrors that of theAIChE Concept Warehouse user interface16. This is logical since the application is an extensionof the student user interface. Specifically, the process includes the following steps: 1. Develop a function list for each screen. 2. Create a storyboard or mockup for each activity that includes the necessary functions. 3. Implement the mockup concepts into the live application. 4. Conduct internal testing via an emulator and a developer-enabled phone. 5. Test usability with students in a classroom setting.We have completed the storyboarding part of the process and are currently iterating betweenimplementations of features and internal testing. Design conversations have led to changes inthe

Conference Session

Computers in Education Division Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Walter W. Schilling Jr., Milwaukee School of Engineering; John K. Estell, Ohio Northern University; Khalid S. Al-Olimat P.E., Ohio Northern University

Tagged Divisions

Computers in Education

project abstracts are then distributed to the junior students. Each student is askedto choose three or four project proposals and submit them in ranked order of preference. Thisfeedback is reviewed by the faculty for their comments, after which the department chair andsenior design coordinator assign students to appropriate project groups based on studentcapabilities, project needs, and placement preferences Each team is advised by a facultymember and students start interacting with their faculty project advisor prior to the end of thejunior year.The senior capstone experience consists of a year-long sequence of two courses; ECCS 4711Senior Design 1 which is offered in fall semester; and ECCS 4721 Senior Design 2 which isoffered in spring

Conference Session

Computers in Education Division Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education

topic inquestion both in order to help them develop a deeper understanding of the topic and in order tohighlight problem areas that need further elaboration by the instructor. We discuss the theoreticalbasis behind the work, provide some details of the prototype implementation of an on-line tool thatenables such structured discussions, and describe our plans for using it in an undergraduate courseon software engineering and for assessing the approach.1. IntroductionThe most widely accepted definition of the flipped classroom is one where “events that have tra-ditionally taken place inside the classroom now take place outside the classroom and vice versa”,see, e.g., Lage et al. 1 . Thus the knowledge transfer that the traditional lecture tries

Conference Session

Computers in Education Division Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Petr Johanes, Stanford University; Larry Lagerstrom, Stanford University

Tagged Divisions

Computers in Education

and contained twelve questions (not countingthree demographic questions concerning degree-level, year-in-school, and department). Bothopen-ended questions and choose-a-response questions were included: 1. How are you finding the course so far? What would you like more of? Less of? 2. What do you like/dislike about the online videos? 3. What do you like/dislike about the other online components of the course? 4. What do you like/dislike about the homework assignments distributed so far? 5. On average, how many hours per week are you spending on the online materials (videos, quizzes, etc.)? [A range of possibilities was given from which to choose, such as <1, 1-2, 3-4, 5-8, and so on.] 6. On average, how many hours

Conference Session

Computers in Education Division Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Kuosheng Ma, Southern Polytechnic State University ; Liang Hong, Tennessee State University; Kai Qian, Southern Polytechnic State University; Dan Lo, Southern Polytechnic State University

Tagged Divisions

Computers in Education

, students are expectedto demonstrate their ability on building mobile applications, constructing embedded sensingsystems, and performing remote sensing on different applications. The project will be hosted in arepository to ease the dissemination to the whole academic community.We have developed the pilot modules in this labware. As an example, figure 1 shows therepository page of the prototype design. The labware is comprised of modules which aredesigned to be used from introductory of mobile device program to ultimate embedded sensormodalities. Currently there are six modules have been developed and each module contains threemajor components. The “pre-lab” is used to introduce concepts, background, and some activitiesfor lab preparation. The “in

Conference Session

CoED: Computer Science Topics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Lulu Sun, Embry-Riddle Aeronautical Univ., Daytona Beach; Christina Frederick, Embry-Riddle Aeronautical Univ., Daytona Beach; Li Ding, Embry-Riddle Aeronautical University; Rebecca Rohmeyer, Embry-Riddle Aeronautical University

Tagged Divisions

Computers in Education

aBLe environment. The blended learningenvironment is defined as a combination of the face to face and online learning environment toutilize strengths of both. Previous research showed that blended learning offers flexibility interms of availability, and self-paced learning to the students21-24. The SLA approach divideslearning into five stages, which are preproduction, early production, speech emergence,intermediate fluency, and advanced fluency. During each learning stage, best practices forteaching and learning are provided. This information and how it was applied in the SLA-aBLeproject are presented in Table 1 below. More informative pictures, cartoons, tables, interactivetiered questions following Bloom’s taxonomy, and MATLAB programming

Conference Session

Computing Technology Session 2

Collection

2017 ASEE Annual Conference & Exposition

Authors

M T Taher; Usman Ghani, Robert Morris University; Ahmed S. Khan, DeVry University, Addison

Tagged Divisions

Computers in Education

effectiveness of simulation-based, hands-on and feedbackmechanism on students learning by answering the following questions: 1). Does the use ofsimulation improve students‘learning outcomes? 2). How do faculty members perceive the use andeffectiveness of simulation in the delivery of technical course content? 3). How do studentsperceive the instructional design features embedded in the simulation program such as explorationand scaffolding support in learning new concepts? 4.) What is the effect of feedback mechanismson students’ learning in the use of simulation-based labs?The paper also discusses the other aspects of findings which reveal that simulation by itself is notvery effective in promoting student learning. Simulation becomes effective when it

Conference Session

CoED: Embedded Systems and Robotics

Collection

2017 ASEE Annual Conference & Exposition

Authors

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

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

the new DSP tools (TMS320C6713DSK board andCCS IDE). In addition, studies have shown that learning a new IDE or using an inappropriateIDE may impose additional cognitive load to students6. As such, the level of lab content thatstudents could accomplish within the course span often was reduced due to the significant timeand effort spent in learning the tools.To solve this issue, since 2016, we have switched from the dedicated DSP hardware to a MCU-based DSP platform for the hands-on DSP lab coursework. In particular, the DSP class adoptsthe same MCU platform and KDS IDE software tool as those used in previous embedded MCUcourses (see Table 1 for a summary of these courses). Based on the new MCU platform, we havedeveloped a number of hands-on

Conference Session

CoED: Potpourri

Collection

2017 ASEE Annual Conference & Exposition

Authors

Valerie Galluzzi, Rose-Hulman Institute of Technology; Carlotta A Berry, Rose-Hulman Institute of Technology; Yosi Shibberu, Rose-Hulman Institute of Technology

Tagged Divisions

Computers in Education

sounds to sounds chosen by classroom occupants, andusing decibel meters on phones to find areas on campus where sound limits exceed workplacesafety guidelines. Each project was evaluated for suitability given the constraints/goalspreviously discussed. Table 1 provides a summary of the proposed project/need matrix. Many projects were eliminated for various reasons--i.e., the speed sensors project waseliminated because we did not have existing speed sensor hardware, the hallway traffic patternproject was eliminated because we would need more than the three robots available to completethe project successfully, the classroom bell project was eliminated as we did not have hardwareto change out classroom bells, and the cell phone project was

Conference Session

COED: EE Topics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Joshua Alexéi García Sheridan, Virginia Tech; Richard M. Goff, Virginia Tech Department of Engineering Education; Carl B Dietrich P.E., Virginia Tech; Vuk Marojevic, Virginia Polytechnic Institute and State University; Nicholas F Polys, Virginia Polytechnic Institute and State University; R. Michael Buehrer, Virginia Tech

Tagged Divisions

Computers in Education

sample for theintervention.This structure allowed for fairness despite having a group acting as a control; the game wasultimately delivered to all participating students to benefit them. Both groups were deliveredeach of the successive quizzes as scheduled. No material contributing to topics covered in thequizzes was presented during this timeframe. The timeframes of game intervention and quizdistribution are displayed in Table 1 below: Table 1: Timespan of quizzes and intervention Day 1 2 4 4 6 Event Quiz 1 Group A Quiz 2 Group B Quiz 3 conducted received game conducted

Conference Session

Computing Technology Session 2

Collection

2017 ASEE Annual Conference & Exposition

Authors

Petr Johanes, Stanford University; Larry Lagerstrom, Stanford University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

model is oftencalled the knowledge model, and, since the users are students, the user model is often called thestudent model. The critical considerations for any creator or consumer of adaptive systems, then,are: what is being modeled; how it is modeled; and how the models are maintained. Whilevarious methods for modeling exist, the most used method today is overlay modeling. The coreprinciple behind overlay modeling is simply that there is some underlying model of a domainand that the model of some user is a subset of that domain model. The objective of adaptivesystems operating in this paradigm is two-fold: (1) to adapt what the user encounters such thateventually the user's overlaying subset matches the system's underlying whole and (2) to

Conference Session

CoED: Computer Science Topics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Afrin Naz, West Virginia University Institute of Technology; Mingyu Lu, West Virginia University Institute of Technology; Cody Ryan Zackoski, West Virginia University Institute of Technology; Caleb R Dingus, West Virginia University Institute of Technology

Tagged Divisions

Computers in Education

to 16 and/or with grade from thirdgrade to high school1. Since Scratch employs a graphical programming interface rather thantraditional code programming, it is simple and straightforward for kids as young as at theKindergarten stage. Meanwhile, Scratch is highly versatile: if used effectively, it can facilitateteaching abstract concepts in any subject.In this pilot project, we worked closely with a group of middle school and high school teacherswith the aim of verifying the effectiveness of applying Scratch programming in K-12 classroom.This project consists of three phases. In Phase 1, we visited middle schools and high schools,helped the participating teachers to set up Scratch, and provided initial training of Scratch. Phase2 of this

Conference Session

COED: Gamification and Introducing Students to Programming

Collection

2018 ASEE Annual Conference & Exposition

Authors

Katherine Smith, Old Dominion University; Yuzhong Shen, Old Dominion University; Anthony W. Dean, Old Dominion University

Tagged Divisions

Computers in Education

, Engineering, and Mathematics (STEM) education has been developedfocusing on content in courses that are prerequisites to the engineering curriculum. These gamescover topics in pre-calculus, calculus, physics, and chemistry and incorporate learning elementsdiegetically. This paper will focus on techniques for implementing learning components asdiegetic elements in games to increase player engagement. Additionally, concrete examples willbe provided to further elucidate these techniques.1. IntroductionMaintaining engagement in educational games is a difficult task. Ideally, players would remainengaged in play throughout the game and not perceive transitions from play to practice, orlearning, and back again. Since it is important that educational games

Conference Session

COED: Mechanical Engineering-related Topics

Collection

2018 ASEE Annual Conference & Exposition

Authors

Steven F. Barrett, University of Wyoming; Tonia A. Dousay, University of Idaho; Tyler J. Kerr, University of Wyoming; Larry Schmidt, University of Wyoming; Brandon Seth Gellis, University of Wyoming; Jesse Ballard, University of Wyoming

Tagged Divisions

Computers in Education

ofcreative ideas within the EERB. A makerspace provides a location for students to explore ideas,complete class projects, or pursue an entrepreneurial innovation. As a general concept,university makerspaces present both formal and informal learning opportunities to students.From an educational perspective, makerspaces espouse constructivism and constructionism aslearning philosophies, incorporating collaborative and problem-based activities. Essentially, theexpertise and tools provided in makerspace facilities foster a hands-on approach to learningbased upon individual interests, building upon intrinsic motivation (Kurti, Kurti, & Fleming,2014) [1]. Whether a student wants to learn a new skill to improve classroom performance orparticipate just

Conference Session

COED: Issues Impacting Students Learning How to Program

Collection

2018 ASEE Annual Conference & Exposition

Authors

Bryan A. Jones, Mississippi State University; Jane N. Moorhead, Mississippi State University

Tagged Divisions

Computers in Education

truck relies on 150 million lines of code [1]. Our everyday lives areshaped by smart phones providing a multitude of social media platforms, a secure banking sys-tem which moves trillions of dollars electronically, a vast array of industrial control systems topurify water, operate street lights, produce diapers, and much more. This large and growing needfor software development expertise must be met by educating more students in computer science,computer engineering, software engineering, and related disciplines. At the same time, persistentproblems in effective instruction of introductory computer science courses (CS1) [2] demonstratea need for innovative methods to effectively instruct these students. To improve this situation,this paper

Conference Session

COED: Autograding and Autoadvising

Collection

2018 ASEE Annual Conference & Exposition

Authors

Mike Thomas Pitcher, University of Texas, El Paso; Peter Golding, University of Texas, El Paso; Pedro Arturo Espinoza, University of Texas, El Paso; Crystal Fernandez-Pena, University of Texas, El Paso; Celena Arreola, The University of Texas, El Paso; Hugo Gomez, University of Texas, El Paso; Hector Erick Lugo Nevarez, University of Texas, El Paso; Randy Hazael Anaya, University of Texas, El Paso; Diane Elisa Golding, University of Texas, El Paso; Kelsi Marie Oyler, Engineering Leadership; America Fernandez, University of Texas, El Paso; Helen Elizabeth Geller, University of Texas, El Paso; Luis Carlos Jimenez, University of Texas, El Paso; Jennifer Arreola, University of Texas, El Paso; Andrea Annette Duenez; Karla Alejandra Ayala

Tagged Divisions

Computers in Education

advising models have oftentimes become unwieldy, as institutions increase registrationand counseling processes for students. These advising practices and systems have generally beenconstructed over a multitude of years but need to be revamped. While many are meant to guidestudents within their educational path; the reality of the current state of education requires newapproaches to advising.Academic advising, well developed and appropriately accessed, is perhaps the only structuredcampus endeavor that can guarantee students sustained interaction with a caring and concernedadult who can help them shape such an experience. 1 Many times, the traditional models havebecome merely procedural checkboxes that in essence have lost their connection to

Conference Session

COED: EE Topics

Collection

2018 ASEE Annual Conference & Exposition

Authors

Afsaneh Minaie, Utah Valley University; Ephraim Nielson, Utah Valley University

Tagged Divisions

Computers in Education

Verilog HDLmodule development for FPGA synthesis. A floating-point binary numbering system is developedwith which all arithmetic operation modules are designed. Benefits of hardware implementedneural networks include the parallelization of computational processes that are not provided insoftware implementations of such networks. All modules included in the network are simulatedusing Altera’s ModelSim platform and synthesized on Altera’s DE2-115 Development Board.IntroductionNeural networks are a type of machine learning algorithm that were created with the intention tomimic the biological function of neurons in the brain [1]. In this biological sense, the primarypurpose of neurons is to process and communicate information with each neuron

Conference Session

The Best of Computers in Education

Collection

2018 ASEE Annual Conference & Exposition

Authors

David Reeping, Virginia Tech; John K. Estell, Ohio Northern University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

developing educational software applications. The intent was to showhow computing and engineering professionals could make a positive difference in the lives ofothers, even if limited to working from behind a computer screen. However, the project waslargely self-directed by the students, as each team picked the subject for a provided grade leveland then wrote a software application for it. While the project allowed students to displaytechnical competency, it embraced a person-centric view towards learning as an internal process.In his seminal work, Kolb discusses the characteristics associated with the concept ofexperiential learning [1], where thoughts and ideas are not fixed, but are formed and reformedthrough continuous processes grounded in

Conference Session

Technical Session 9:Topics related to STEM

Collection

2019 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education

Computer Engineering, 2Department of Mechanical and 1 Aerospace Engineering, 3Pegasus Digital Learning Innovation Lab} University of Central Florida, Orlando, FL 32816-2362AbstractGiven increasing enrollments within STEM curricula, it is sought to overcome challenges ofconventional lecture-only delivery in high-enrollment courses. Mixed-mode delivery, which isalso known as Blended Delivery, utilizes a combination of online and traditional face-to-facemethods. Herein, a novel eight-step phased instructional flow with several targeted adaptations isused to accommodate the mixed-mode delivery of STEM curricula. It is formalized as the STEMBlended Delivery Protocol (STEM-BDP) with a special emphasis on the

Conference Session

Technical Session 3: The Best of Computers in Education

Collection

2019 ASEE Annual Conference & Exposition

Authors

Phyllis Beck, Mississippi State University; Mahnas Jean Mohammadi-Aragh, Mississippi State University; Christopher Archibald, Mississippi State University

Tagged Divisions

Computers in Education

, we describe future research plans, which includeusing unsupervised machine learning techniques to move beyond basic binary classification.1. IntroductionIn this paper, we explore the process for training two supervised machine learning classificationalgorithms to classify student code comments as sufficient or insufficient using MultinomialNaive Bayes Classifier and a Random Forest Classifier. We are classifying comments fromstudent lab submissions as part of a larger NSF funded writing-to-learn to program project inwhich we are developing a framework for allowing students to self-monitor and self-assess theirown metacognition [1,2]. Students are provided with an Integrated Development Environment(IDE) that allows the students to use

Conference Session

Technical Session 12: Teaching and Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Nikitha Sambamurthy, Purdue University-Main Campus, West Lafayette (College of Engineering); Alex Daniel Edgcomb, Zybooks; Frank Vahid, University of California, Riverside

Tagged Divisions

Computers in Education

integrated into web-based interactive textbooks and been viewed 30 million timesby over 500,000 students across 600 universities. The philosophy includes two general actions:Unveiling a complex concept, and visualizing a dynamic process. This paper describes thatanimation format philosophy, including pedagogical considerations made in designinganimations, multiple examples, and reasons for implementing an animation.1. IntroductionAnimations have increasingly been incorporated into learning materials to help explain difficultor hard-to-visualize concepts. Video-based animations have long been used to teach science andliberal arts topics [1][2][3], but as computer use has increased in classrooms, computer-basedanimations have been introduced to

Conference Session

Technical Session 11: Topics related to Computer Science

Collection

2019 ASEE Annual Conference & Exposition

Authors

Farzana Rahman, Florida International University; Samy El-Tawab, James Madison University

Tagged Divisions

Computers in Education

focus primarily on mobile applicationdevelopment itself. These students, the makers of the future mobile technology, who areinvolved in app creation – from defining the concept to requirements gathering, to finalimplementation – takes into consideration how the app will work successfully and effectively.However, their design decisions are not always made thinking about how the application willinfluence the user, the community, and the society at large. To address this critical issue, in thispaper, we report our experience with weaving the notion of social and ethical computing whiledesigning and developing an upper-level computer science course on mobile questionnairedevelopment. Our primary course goals were twofold: 1) Teach students the

Conference Session

Technical Session 12: Teaching and Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Keith Hekman, California Baptist University

Tagged Divisions

Computers in Education

explores the automation of grading of students work in Excel at a private University.BackgroundAll engineering students at California Baptist University are required to take VisualizationLanguages, a course in which students learn both AutoCAD to communicate geometric data, andExcel to graphically express numeric information. An automated grading system for theAutoCAD portion of the course was shown to be beneficial to both the students and faculty [1],so the next step was to explore automated grading for Excel.Since the financial world commonly uses Excel, the first automating grading efforts have beendirected towards financial analysis spreadsheets. Hill [1] (2003) developed Microsoft Accessapplication MEAGER which compared students

Conference Session

Technical Session 7: Online and Distributed Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education

photovoltaics * Fabricating and characterizing 3D inverse opal photonic crystals made from silicon for photovoltaics, and comparing to theoretical predictions * Explaining key physical effects influencing selective thermal emitters in order to achieve high performance thermophotovoltaic systemsHillary Elizabeth Merzdorf, Purdue University-Main Campus, West Lafayette (College of Engineering) College of Engineering c American Society for Engineering Education, 2019 Beyond the Means – Visualizing Learner Activity and Outcomes for Online InstructorsIt is now seven years since The New York Times declared 2012 "the year of the MOOC" [1]when the idea of online education through

Conference Session

COED: EE Topics

Collection

2018 ASEE Annual Conference & Exposition

Authors

Ronald J. Hayne, The Citadel

Tagged Divisions

Computers in Education

than justrevising syntax, the design maintained its functional integrity. The hardware synthesized by theXilinx tools was very consistent in both device utilization and system timing. The project was asuccess and the Instructional Processor continues to be a valuable instructional tool, nowavailable in two languages.IntroductionTeaching digital design involves use of many examples including counters, registers, arithmeticlogic units, and memory. The design of a computer processor combines these components intoan integrated digital system. An Instructional Processor has been developed for use as a designexample in an Advanced Digital Systems course at The Citadel [1] - [3]. The simple architectureprovides sufficient complexity to demonstrate