Conference Session

Modeling and Simulation

Collection

2016 ASEE Annual Conference & Exposition

Authors

Luis E Monterrubio, Robert Morris University

Tagged Divisions

Computers in Education

solve for the deflection andstress of a cantilever Euler-Bernoulli beam under a single point load as shown in Figure 1. Forthis problem, consider the following geometric properties: length 550 mm, height 12.7 mm (0.5in) and thickness 63.5 mm (2.5 in). A load equal to m=4.53 kg (10 lbs.) is applied 32.5 mm fromits free end as shown in Figure 1. Consider the Young Modulus E of the beam to be equal to 70GPa and gravity to be equal to g=9.81 m/s2. x Figure 1. Cantilever beam under a concentrated load.The approaches covered in this course to solve for the deflection and stress of the cantileverEuler-Bernoulli beam under a point load as shown

Conference Session

Computers in Education Division Poster Session

Collection

2016 ASEE Annual Conference & Exposition

Authors

Yang Hu, Washington State University ; Matthew E. Taylor, Washington State University

Tagged Divisions

Computers in Education

, participants in the second tutorial group were expected to independentlyexplore and were only provided feedback when the program determined he/she had deviated toofar from a potential solution. The three groups are compared by measuring the time needed to 1)successfully construct the same model in a testing phase, 2) use multiple methods to construct thesame model in a testing phase, and 3) construct a novel model.KeywordsMultiple solutions, Intelligent Tutoring System, Strategic Flexibility, Computer-Aided Design(CAD), Boolean OperationsIntroductionComputer-Aided-Design (CAD) software development was started by General Motors ResearchLaboratories in the early 1960s. Today, CAD software has become the most prevalent engineeringdesign approach used in

Conference Session

Software and Programming

Collection

2016 ASEE Annual Conference & Exposition

Authors

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

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

, computers with thousands processors were widely used for scientific research. Acomputer cluster consists of a number of computers to work as a system on computationalintensive tasks. Different processors are connected by network. Shared-memory or distributedmemory are dominate storage types for HPC cluster [1]. The advent of commodity highperformance processors, low-latency/high-bandwidth networks, software infrastructure anddevelopment tools facilitate the cluster to be widely used for climate modeling, disasterprediction, protein folding, oil and gas industry, and energy research [1, 2]. Currently China’sTianhe-2 is ranking No. 1 among all the super computers based on TOP500 project. Titan (OakRidge National Lab) and Sequoia (Lawrence Livermore

Conference Session

Modeling and Simulation

Collection

2016 ASEE Annual Conference & Exposition

Authors

Daniel K. Howe, George Mason University; Oscar Barton Jr., George Mason University

Tagged Divisions

Computers in Education

complexsystems that bring the solution of real world problems to the desktop. Universities maintain thelatest of these systems, recognizing the direct benefit towards the attainment of studentoutcomes, especially in the engineering disciplines which need to comply with EAC-ABETcriteria. Johannesen suggests that “When understood, more interesting and complicatedsituations can be explored with the help of computational tools”[1].Tajvidi et al note that“Particularly in engineering dynamics, Computer Simulation and Animation [CSA ] modules candemonstrate motion of particles and rigid bodies through computer animations, helping studentspicture the concepts taught in the course”[2].Computers have their greatest impact not bydisplacing the entire course, but

Conference Session

Innovative Use of Technology in K-12 Outreach

Collection

2016 ASEE Annual Conference & Exposition

Authors

Steven F Barrett, University of Wyoming; Jeffrey R Anderson, University of Wyoming; Matthew Young Lionel Love, University of Wyoming

Tagged Divisions

Computers in Education

intensive, hands-on, motivationalexperience where each student would build, program, and develop the interface between theprogramming board and the robot hardware. We hoped that along the way the students wouldlearn about different engineering fields, computer science, and also the basics of computerprogramming and interfacing. The course concluded with a robot competition. Studentscompeted to see which robot could go through an unknown maze without bumping into mazewalls in the shortest time. The course objectives included: 1) Take the mystery out ofengineering and computing, 2) Show that engineering and computer science is fun and exciting,3) Demonstrate that engineering is for both women and men, 4) Emphasize hands-on, learn bydoing exercises

Conference Session

Computers in Education Division Poster Session

Collection

2016 ASEE Annual Conference & Exposition

Authors

Joshua Levi Weese, Kansas State University; William H. Hsu, Kansas State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

comparisonacross multiple years. These visualizations include tracking of student performance on a range ofstandardized assessments including the Force Concept Inventory (FCI).1 the Force and MotionConceptual Evaluation (FMCE) of Thornton and Sokoloff (1998)2, and the Brief Electricity andMagnetism Assessment (BEMA).3 Assessments can be viewed as pre- and post-tests withcomparative statistics (e.g., normalized gain), decomposed by answer in the case of multiple-choice questions, and manipulated using prespecified data transformations such as aggregationand refinement (drill down and roll up). The system is designed to support inclusion of a rangeof supervised inductive learning methods for schema inference, unsupervised learning algorithmsfor similarity

Conference Session

Best of Computers in Education Division

Collection

2016 ASEE Annual Conference & Exposition

Authors

Adam Thomas Koehler, University of California - Riverside

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

 various examples and implementations through several one­on­one interactions. One­on­one interactions help facilitate a great teaching environment, and are often utilized to teach students about programming misconceptions and errors in an introductory programming course. The repetitive nature of a substantial portion of these interactions makes them a prime candidate for improving scalability through automation.  Automated assessment of programming exercises is often utilized to bridge the scalability gap. However, the open­ended nature of programming assignments can lead to (1) misguided automatic feedback, (2) a disconnection between an errant student solution and proper advice, (3) a complete lack of advice due to the student not understanding

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

Tagged Topics

Diversity

Tagged Divisions

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

Tagged Divisions

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

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

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

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

Tagged Divisions

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 Division Poster Session

Collection

2016 ASEE Annual Conference & Exposition

Authors

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

Tagged Topics

Diversity

Tagged Divisions

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

Tagged Topics

Diversity

Tagged Divisions

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

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)

Tagged Topics

Diversity

Tagged Divisions

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

Effective Use of Technology in Education

Collection

2016 ASEE Annual Conference & Exposition

Authors

Judith Virginia Gutierrez, National Autonomous University of Mexico (UNAM); Frida Diaz Barriga, National Autonomous University of Mexico (UNAM); Nelly Ramirez-Corona, Universidad de las Americas Puebla; Aurelio Lopez-Malo, Universidad de las Americas Puebla; Enrique Palou, Universidad de las Americas Puebla

Tagged Divisions

Computers in Education

(Learning Management System), and LCMS (Learning Content Management System) platforms,with the more communicative and agile PLEs (Personal Learning Environments)1. The termPersonal Learning Environment (PLE) describes the tools, communities, and services thatconstitute the individual educational platforms learners use to direct their own learning andpursue educational goals. A PLE is frequently contrasted with a learning management system inthat an LMS tends to be course-centric, whereas a PLE is learner-centric.A PLE refers not to a specific service or application but rather to an idea of how individualsapproach the task of learning2. A PLE is a system that helps learners take control of and managetheir own learning3. This includes providing

Conference Session

Online, Hybrid, and other Virtual Learning Environments

Collection

2016 ASEE Annual Conference & Exposition

Authors

Magesh Chandramouli, Purdue University, Calumet (College of Technology); Tsu-Chiang Lei P.E., Department of Urban Planning and Spatial Information, Feng Chia University; Tien-Yin Chou, GIS Research Center, Feng Chia University, Taiwan; Yi-Min Huang, GIS Reserach Center, Feng Chia University; Srinivasa Raju Kolanuvada, Anna University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

Active Learning (AL) of these geographic concepts, thus leading to a lack ofinterest and aversion among students. Use of VR based methods with improved visualization ofthe concepts like map projection, coordinate system, geographic datum, etc. help betterunderstanding and in turn facilitate CT/PS skills of the students. Virtual environments created forGIS instruction can be visualized using a range of user interfaces and platforms such as desktopvirtual reality (dVR), CAVE, Head Mounted Displays (HMD), and augmented VR etc. As seenfrom Figure.1, each one of these platforms have their advantages and disadvantages with respectto the degree of immersion, presence, navigation, interaction, etc. CAVEs offer high end fidelity,immersion and navigation

Conference Session

Innovative Teaching

Collection

2016 ASEE Annual Conference & Exposition

Authors

Oscar Antonio Perez, University of Texas - El Paso; Pedro Arturo Espinoza, University of Texas - El Paso; Hugo Gomez, University of Texas - El Paso; Mike Thomas Pitcher, University of Texas - El Paso; Randy Hazael Anaya, University of Texas - El Paso; Herminia Hemmitt, University of Texas - El Paso; Hector Erick Lugo Nevarez, University of Texas - El Paso

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

learning engineering is important to studyand understand for various reasons, including: (1) use of technology tools by students is widespread,and (2) use of technology tools in primary, secondary, and college classrooms is increasing rapidly asnew devices that balance cost, functionality and portability shift the use of computing devices frompersonal purposes to mainstream course applications, such as with 3D printing, for academicpurposes. We will present the results of studying the impact of using one such device, a 3D printer,on students’ academic performance via a subset of course objectives for an introductory engineeringcourse. This paper inherently focuses on student perceived value and learning impact(comprehension of learning outcomes

Conference Session

Modeling and Simulation

Collection

2016 ASEE Annual Conference & Exposition

Authors

Elif Miskioglu, Bucknell University; Kaela M Martin, Embry-Riddle Aeronautical University, Prescott

Tagged Divisions

Computers in Education

Aeronautical and Astronautical Engineering and is interested in increasing classroom engagement and student learning. c American Society for Engineering Education, 2016 Reasonable or Ridiculous? Engineering Intuition in SimulationsIntroductionA successful engineer must not only be proficient in complex calculations, or the simulationsoftware that may perform these calculations, but must be able to evaluate whether a result is“reasonable or ridiculous.” This type of “engineering intuition” is essential, and teaching it is notalways as straightforward as technical material.Often described as a “gut feeling,” intuition is based on a set of rules applied subconsciously.1-3For complex situations, using intuition

Conference Session

Technology-Related Educational Research

Collection

2016 ASEE Annual Conference & Exposition

Authors

Ting-Ting Wu, Graduate School of Technological and Vocational Education, National Yunlin University of Science and Technology; Yueh-Min (Ray) Huang, Cheng-Kung University; Rustam Shadiev, Department of Engineering Science, National Cheng Kung University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

by high creativity students, which resulted inbetter problem solving skills. As for the cognitive level, both the low and high creativitystudents demonstrated that they are able to apply and analyze newly learned information;however, more high creativity students were able to reach Evaluate cognitive level duringlearning activities.IntroductionThe objective of engineering education is not only to enrich students' engineering knowledgebut also to enhance their interest in engineering curriculum through efficient teachingstrategies, learning activities, and technology-assisted learning, so that students are able todemonstrate relevant knowledge and meet requirements for future work 1. Unlike scienceeducation, engineering education aims to

Conference Session

Effective Use of Technology in Education

Collection

2016 ASEE Annual Conference & Exposition

Authors

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

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

 auto­generates  successively  harder  problems  for  a  student  to  solve.  Scores   per  student  are reported to the instructor.     Figure 1:​  Boolean algebra tool. (a) User prompted to select a property. Goal and initial equation shown. (b) User  selects terms. (c) Continue applying properties to reach goal.     Combinational circuits A  student  next  learns  how  logic gates that implement Boolean algebra's operations of AND,  OR, and  NOT  can be connected as combinational circuits to implement

Conference Session

Computers in Education Division Poster Session

Collection

2016 ASEE Annual Conference & Exposition

Authors

Christian Kreiter MSc, Carinthia University of Applied Sciences; Danilo Garbi Zutin P.E., Carinthia University of Applied Sciences; Michael E. Auer, Carinthia University of Applied Sciences

Tagged Divisions

Computers in Education

shown in fig. 1.Fig. 1: Number of feedbacks per labThe first part of the survey required personal information of the student or teacher, like name,age and school. The purpose was to avoid double or fake entries. In respect of theparticipant’s privacy none of this information was shared with others. Second, we asked forthe lab the students tested. Thus, testing multiple labs required the student to fill out multiplefeedback forms. The main part of the survey was oriented on the user’s experience. We splitthe questions into: 1) Grid type questions, where the students could select whether they agree or not to a statement about the lab (see fig. 2) and 2) Paragraph type questions, where students could write open-ended answers. Students

Conference Session

Innovative Teaching

Collection

2016 ASEE Annual Conference & Exposition

Authors

Lawrence O Kehinde P.E., Obafemi Awolowo University, Ile-Ife, Osun State, Nigeria; Obasegun Tekena Ayodele, IEEE Educational Activities; Olubiyi Olaoluwa Akintade, Department of Electronic & Electrical Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria.; KAZEEM Olaide Olawale, Obafemi Awolowo University, Ile-Ife, Nigeria

Tagged Divisions

Computers in Education

the manufacturer, operator and/or other connected devices. A simple IoT buildingblock is shown in Figure 1. Each object within the network is uniquely identifiable, can beaccessed through a network and can be controlled using lightweight software. Though IoT is stillemerging, there have been such projections that as many as 100 billion IoT devices would beinterconnected by 2025 with a global economic impact of more than $11 trillion. This is largelydue to the anticipated IoT impact on agriculture, healthcare, energy management, security, etc. OBJECTS/ APPLICATIONS CLOUD THINGS Figure 1: A simple IoT

Conference Session

Technology-Related Educational Research

Collection

2016 ASEE Annual Conference & Exposition

Authors

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

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

 questions, with 73% earnestly attempting 80%­100%.  Only 1% of students blatantly "cheat the system" by earnestly attempting less than 20% of questions. Thus, the heartening conclusion is that students will take advantage of a well­designed learning opportunity rather than just quickly earning points.  We noted that earnestness decreased as a course progressed, with analyses indicating the decrease being mostly due to tiredness or some other student factor, rather than increasing difficulty. We also found that analyzing per­question earnestness can help question authors find questions that need improvement.  In addition to providing results of our earnestness analysis, this paper also describes the style by which the learning questions were made

Conference Session

Online, Hybrid, and other Virtual Learning Environments

Collection

2016 ASEE Annual Conference & Exposition

Authors

Kerrie A Douglas, Purdue University, West Lafayette; Brittany Paige Mihalec-Adkins, Purdue University; Nathan M. Hicks, Purdue University, West Lafayette; Heidi A. Diefes-Dux, Purdue University, West Lafayette; Peter Bermel, Purdue University; Krishna Madhavan, Purdue University, West Lafayette

Tagged Divisions

Computers in Education

that MOOCs can be marketed as professional developmentof working engineers and dissemination of highly technical information.IntroductionMassive open online courses (MOOCs) are a relatively young and rapidly growing concept inonline education. The term, MOOC, has been defined as “any online educational course that isavailable at no or minimal cost, is open to a very large number of students, and for which theeducational materials and resources are freely available online” (p. 218).1 In general, MOOCsare free of the typical educational barriers of prerequisites, fees, and hard requirements forparticipation in the course, creating an investment-free option to access learning materials.2Indeed, those who enroll in MOOCs are free to enter and

Conference Session

Online, Hybrid, and other Virtual Learning Environments

Collection

2016 ASEE Annual Conference & Exposition

Authors

Ernest M. Kim P.E., University of San Diego; Thomas F. Schubert Jr. P.E., University of San Diego; Cyd Burrows, University of San Diego; Shahra Meshkaty, University of San Diego

Tagged Divisions

Computers in Education

course.Student perceptions of the use of iPads in the classroom and student attitudes and studentaccomplishments are considered with similar results as reported by Goyings, Klosky, andCrawford [1], and Zhu [2].II. Classroom Instructional MethodsStudents who are in a traditional lecture setting often are so busy trying to capture what is beingsaid at the instant the speaker says it that they do not have the time to reflect upon what is beingsaid. Therefore, they may miss significant topical points because they are trying to transcribe theinstructor’s words. [3][4]. In a flipped classroom, the class-lecture time is replaced by in-classactivities. Lectures and other learning material are delivered so that students are able to view andimmerse themselves in

Conference Session

Best of Computers in Education Division

Collection

2016 ASEE Annual Conference & Exposition

Authors

Petr Johanes, Stanford University; Larry Lagerstrom, Stanford Center for Professional Development

Tagged Divisions

Computers in Education

One byproduct of thiscreative opportunity, however, is the challenge faced by instructors in identifying practicalinsights and principles to apply when considering and/or developing videos.In this paper, we aim to achieve two objectives: (1) summarize the research surrounding onlineeducational videos, and (2) provide a list of seven recommendations for creating educationalvideos high in pedagogical value. We are writing this paper primarily for instructors andinstructional designers, so we focus both objectives on creating online videos that then exist inthe context of a wider educational endeavor (e.g., an online or blended course). In the firstsection, we address the issue of the best design model for educational videos. In the

Conference Session

Technology-Related Educational Research

Collection

2016 ASEE Annual Conference & Exposition

Authors

Krishna Madhavan, Purdue University - West Lafayette; Michael Richey, The Boeing Company; Barry McPherson, The Boeing Company

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

engineers thatcan lead to cost reductions and expediting product development in extremely complexengineering environments. The present study, pioneered by a large US aerospace companyworking with educators at 5 major engineering schools in the US, engineering educationresearchers, and practicing engineers, is a first step towards achieving this overall vision. In thispaper, we characterize how engineering students enrolled in a senior capstone course interact andperform on complex engineering tasks commonly seen in the aerospace industry. We describeour instrumentation methodology and the data architecture for an associated analytics platform.We use course clickstreams, social networking and collaborations as the basis for ourobservations.1