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

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, Guindy, India.Dr. Tsu-Chiang Lei P.E., Department of Urban Planning and Spatial Information, Feng Chia University Tsu-Chiang Lei received the B.A. degrees from the department of Hydrology Engineering Department at Feng Chia University and the M.A. and Ph.D. degrees from the Department of Bioenvironmental System Engineering (Before name: Agricultural Engineering), National Taiwan University. Respectively, major- ing subsets in regionalization variable theory (Kriging) for environmental and remote sensing technique for land use change detection problem. He served first as a postdoctoral fellow and then as a Research Assistant Professor in GIS Research Center, Feng Chia University, in 2001 to 2003. After that, he has

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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teamwork, believes in education as a process for achieving life-long learning rather than as a purely aca- demic pursuit. He currently works on maintaining, upgrading and designing the classroom of the future. Mr. Perez is inspired because he enjoys working with people and technology in the same environment.Dr. Virgilio Ernesto Gonzalez, University of Texas - El Paso Virgilio Gonzalez, Associate Chair and Clinical Associate Professor of Electrical and Computer Engi- neering at The University of Texas at El Paso, started his first appointment at UTEP in 2001. He received the UT System Board of Regents Outstanding Teaching Award in 2012. From 1996 to 2001 he was the Technology Planning manager for AT&T-Alestra in Mexico

Conference Session

Effective Use of Technology in Education

Collection

2016 ASEE Annual Conference & Exposition

Authors

Nina Magpili, Engineering Management & Systems Engineering (EMSE), Old Dominion University; Pilar Pazos, Old Dominion University; Preetham Sathish Ullal, Old Dominion University

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Computers in Education

projects give little consideration to the cognitive and behavioralprocesses such as team building, clarifying goals and expectations, planning, communication,consensus building and conflict resolution; which hold the key to successful collaboration.5,6 Arecent review of research on engineering student teams suggests that our understanding of howbest to cultivate collaboration amongst remote teams of students is largely underdeveloped7.Others have noted an opportunity to capitalize on much of the life-long learning that can occurthrough team dynamics and interaction.6Web-based scaffolds that include technologies and team activities help enhance virtual teamcollaboration by providing support for online collaboration. A team scaffold is a stable

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

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teaching strategies of engineering project course. Students participated inlearning activities following the instructor's planning and guidance and their learningbehaviors to use a learning system were recorded in the database. Those attributes, such asfrequency, sequence, and association of learning behavior were identified through astructured arrangement and statistical analysis. In addition, those key learning activities thatinspire the students' creativity along with the creativity assessment results were discovered.According to our findings, high creativity students proceeded with active exploration duringlearning more frequently compared to low creativity students. The data analysis also showedmore instances of independent thinking created

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

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Computers in Education

takes onfamiliar plots/themes), and pedagogical objectives (e.g., exposing or re-framing via adocumentary) are completely different. Hollywood Movie TED Talk Veritasium Khan Academy Production Massive, Well-organized, Low-budget single- Tablet-style, low- professional, well- rehearsed, and camera shoots and budget procedural funded endeavor planned interviews videos presentations Purpose Entertainment Engaging product Pose intriguing Detailed product guaranteeing

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

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Computers in Education

laboratories.To fulfill our third goal, we plan to hold a pilot phase, which is scheduled from April to May2016. In this phase, all remote labs will be presented to international partners – secondaryschools from Romania and Slovenia. Apart from this, the Austrian Federal Ministry ofScience, Research and Economy held a month-long contest in October 2015 to involvestudents into science projects. Applicants were between 10 to 18 years old and it was hoped toboost their interest in STEM subjects. We found this to be a great opportunity to promoteremote labs to a wider audience and to get first impressions of how students use them. Thus,we took part in the contest with already existing remote labs and provided a survey for thestudents to fill out for each lab

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

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Computers in Education

comparing alternative solutions can learn more than those instructed by the singlesolution. Osakue [12] published an instructional method on teaching solid modeling skills withAutoCAD. The method proposes that, at a planning stage, decomposing complex solid modelsinto segments and sketching each segment isometrically helps students learn the extrusion opera-tion concept of CAD software, as well as Boolean operations. The feedback from students showsbreaking down complex solids into segments helps students understand solid modeling principlesand such principles will be helpful in the use of other CAD software. However, there are few ITSsthat are developed to teach students solid modeling skills. There are also few empirical studies inthe literature

Conference Session

Best of Computers in Education Division

Collection

2016 ASEE Annual Conference & Exposition

Authors

Osman Yasar, The College at Brockport - SUNY; Peter Veronesi, The College at Brockport - SUNY; Jose Maliekal, The College at Brockport, SUNY; Leigh J Little, The College at Brockport - SUNY; Sounthone E Vattana, The College at Brockport - SUNY; Ibrahim H. Yeter, Texas Tech University

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Computers in Education

the Curriculum and Instruction program at the College of Education, and at the same time, he is pursuing his Master’s degree in Petroleum Engineering at Texas Tech University. He is highly interested in conducting research within the Engineering Education frame- work. Mr. Yeter plans to graduate in December 2016 with both degrees and is looking forward to securing a teaching position within a research university and continuing his in-depth research on Engineering Ed- ucation. He is one of two scholarships awarded by NARST (National Association for Research in Science Teach- ing) to attend the ESERA (European Science Education Research Association) summer research confer- ˇ e Budˇejovice, Czech Republic

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

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Computers in Education

navigation features; however, it requires modification toallow for successful navigation.MethodsTwo electrical and computer engineering faculty members and a senior undergraduatemechanical engineering student developed the curriculum for the course. Our goal was toprovide enough theory to allow the students to progress rapidly in the laboratory exercises. Thecurriculum was divided into ten 2.25 contact hour sessions. We also planned a related session onsupercomputers and modeling. The session on supercomputers was taught by a Department ofMathematics faculty member. Also, a field trip was taken to the National Center forAtmospheric Research (NCAR) - Wyoming Supercomputing Center (NWSC) and a nearby hightechnology Walmart regional distribution center

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

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Computers in Education

to help coordinate the efforts of the other student assistants and to assist with development of supplemental materials.  A set of supplemental learning materials was made available for purchase.The Spring 2015 MOOC was a success, meeting all goals and providing additional lessons abouthow to offer cost-effective MOOCs at a public PUI. In this paper, the authors provide a detaileddiscussion of the Spring 2015 MOOC offering, its results, and identifies lessons learned from theeffort. This paper, along with Nissenson and Shih (2015), could be used by other public PUIs asa blueprint for developing and delivering their own MOOCs.2. Course detailsStrategic planning is a critical element to implementing a MOOC successfully and costeffectively

Conference Session

Modeling and Simulation

Collection

2016 ASEE Annual Conference & Exposition

Authors

Shahnam Navaee, Georgia Southern University; Junsuk Kang, Georgia Southern University

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Computers in Education

developedcourse discussed in the paper, a state-of-the-art commercial software package is planned to beutilized to further enhance the marketability of the students upon graduation. Along with this choicecomes the challenge of developing suitable tutorials and examples to familiarize the students withvarious important tools and special features of this sophisticate package in the minimum amount oftime possible. The submitted paper explores one possible strategy to accomplish this task. Thiscourse is designed for exploring the civil engineering applications focusing specifically on analysisof structural components, rather than solving problems related to other fields such as fluid mechanicsor heat transfer. The planned projects in the course explore

Conference Session

Online, Hybrid, and other Virtual Learning Environments

Collection

2016 ASEE Annual Conference & Exposition

Authors

Hazim A El-Mounayri, Indiana University Purdue University, Indianapolis; Christian Rogers, Indiana University Purdue University, Indianapolis; Eugenia Fernandez, Indiana University Purdue University, Indianapolis; Jesse Connor Satterwhite, Indiana University Purdue University, Indianapolis

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,particularly one who said they “typed T6 to change the tool but nothing happened”. While the command“T6” is recognized by the machine, an improper input placed before could have caused the machine tocease operation. This information is useful in a pilot study, as it allows such bugs to be found prior tomore widespread studies.Conclusions & Future WorksFuture plans for this project see it proceeding in two directions: first, further development on theenvironment itself will be completed; and second, additional technologies will be tested with theimproved environment.Some development changes to the environment have been discussed in prior sections of this paper—forexample, the issue of the machine no longer receiving input after an incorrect input

Conference Session

Software and Programming

Collection

2016 ASEE Annual Conference & Exposition

Authors

Anurag Goswami, North Dakota State University; Gursimran Singh Walia, North Dakota State University

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requirementsand design development and the required skills for planning, analysis, and design of softwaresystem. Similarly, Requirements Engineering course focuses especially on requirementdevelopment tasks and technique along with requirement inspection technique. Both the coursesrequired the students to learn about software inspections and their impact on the software qualityimprovement. Students in both the courses had an average of two years of software developmentexperience in past (i.e. classroom projects, assignments, and industry).Artifact: Two externally developed industrial strength requirement documents (Table I), LoanArranger System (LAS) and Parking Garage Control System (PGCS), were inspected by eachparticipant during two inspection cycles

Conference Session

Innovative Use of Technology in K-12 Outreach

Collection

2016 ASEE Annual Conference & Exposition

Authors

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

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creation of a wide variety of objects.Learning Environments Department has embarked on a project to incorporate the Maker Campstrategy into a more formal process that includes creating sessions using learning blockswhich utilize a Project Based Learning (PBL) model at their core. This type ofstrategy could support the hands-on components of a Maker Camp combined with theinstructional strategies of Active and Project Based Learning in a simplified planning tool. Thedesign could then become a template moving forward. Our research explores what impact usingsuch a strategy had on our Tech-E Camp hosted at The University of Texas at El Paso –Undergraduate Learning Center as well as the impact of the technology challenges as theypertained to the

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

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(putting the elements together to form a coherent or functional whole; reorganizing elements into a new pattern or structure through generating, planning or producing10): a. Media production - (Movie maker, iMovie, Adobe premier elements, online tools, etc.). b. Presentation (presentation tools - PowerPoint, Keynote, Impress, Zoho presentation tool, Photostory, Google present. Comic creation tools, Prezi, voicethread, Office Mix, etc.). c. Story (Word Processing or web publishing, DTP, Presentation, podcasting, photostory, voicethread, Comic creation tools, etc.). d. Programming - Visual Studio, Marvin, Lego Mindstorms, Scratch, Alice, Aspen, LabView, etc

Conference Session

Innovative Use of Technology in K-12 Outreach

Collection

2016 ASEE Annual Conference & Exposition

Authors

Fernando Garcia Gonzalez, Florida Gulf Coast University; Janusz Zalewski, Florida Gulf Coast University

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Computers in Education

, and an example arm build using the robotics kit.a. The Software ToolThe robotics educational tool used in this work was developed by the authors and is specificallydesigned to teach the basic Introduction to Robotics undergraduate course. This course generallycovers robotics fundamentals including history, robot types, and degrees of freedom, robotkinematics including the transformation matrix, forward and inverse kinematics, and the D-Hparameters, differential motions, robot dynamics, trajectory planning, actuators and sensors, androbot vision. The tool displays a virtual robotic arm and a panel of controls, see Figure 11 above.The virtual arm is entered into the tool by specifying the arm’s D-H

Conference Session

Teaching and Advising Tools Using Computers and Smart Devices

Collection

2016 ASEE Annual Conference & Exposition

Authors

Taekyoung Kwon, Seoul National University; Myungchul Kwak, Seoul National University; Junghwan Song, Seoul National University; Selin Chun, Seoul National University; Seokho Chi, Seoul National University

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smartphone nearby. It means that we can approximately measure the distance between the smartphones by observing their RSS values. Of course the RSS fluctuation can occur in this case as well, but the distance between the smartphones carried by the same student is very short. Hence the RSS values tend to be stable and high. Fig. 14 depicts the RSS values between two smartphones located less than 1m distance. The RSS values are quite higher than those of the previous measurements, and thus the attendance cheating can be detected. We plan to substantiate this idea as future work. Figure 15. The RSSs and the numbers of observed beacon frames when multiple beacons (i.e.,smartphone) are located at the same position. 3. BLE signal

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

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’ perception of how much they learneddramatically shifted towards the above average and well above average categories after theimplementation of the 3D technology project. Another set of questions in which the majority of the students agree on their perceivedlearning is shown in Figure 6 for the first year and Figure 8 for year two. In this set of questions theagreement of the students was higher than 60% and lower than 70% for year one and between 80%and 82.6% for year two. Here we can see that the 3D technology project had a high impact in theareas of time management, engineering career awareness and planning, research methods andtechniques, critical thinking concepts, and unit systems and conversions. From previous research wehave confirmed

Conference Session

Teaching and Advising Tools Using Computers and Smart Devices

Collection

2016 ASEE Annual Conference & Exposition

Authors

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

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Computers in Education

the learner’s abilities and knowledge base. Further, mobile ICT enablescommunication with experts and peers, which is another element of lifelong learning. Mobiledevices offer convenience for learning that is available throughout a long period of time,enabling the learner’s personal accumulation of resources and knowledge. Use of thetechnologies is intuitive for most, which enables broader use, even by people with no previousexperience with the technology.If the intent of educators is to help students plan and realize learning goals for a lifetime, then itis important to understand how students perceive the lifelong learning process in the world ofabundant information, readily accessible and portable through technology, both mobile andfixed

Conference Session

Teaching and Advising Tools Using Computers and Smart Devices

Collection

2016 ASEE Annual Conference & Exposition

Authors

Emil H Salib, James Madison University; Ian Healey, ASIS International; Alexander Ryan Chamberlain, Cisco Systems ; Livia S Griffith

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Computers in Education

described in detail our solutionimplementation using a specific vendor’s products should not be construed as an endorsement tothat vendor and/or that vendor’s products. As you will see in the section titled ”Next Steps”, welayout a plan of take advantage of emerging cloud computing Operating Systems such as Open-Stack [12].2.2 Opportunity StatementLabs across campus often have very specific and expensive software that can only be accessedfrom one physical location. The current approach of JMU IT organization is expensive and time-consuming. Computing lab hardware is replaced every three to four (3 to 4) years which costs theJMU a significant amount of money.The following is a summary of the driving factors for undertaking this project

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

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has been at USD since 1995 and aside from her positions at the IT. As adjunct faculty, Shahra has taught courses on IT related topics at the School of Education and Business as well as the San Diego Community College for over 10 years. A member of the New Media Center shahra has taught courses in business applications, web publishing and graphics design. In her current role as the Sr. Director of the Academic Technology Services at USD, she oversees all aspects of teaching and learning support, planning and implementation of the Academic Technology Services, works in close collaboration with faculty and departmental liaisons on learning spaces and serves on many campus committees and taskforces related to the

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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Computers in Education

effectiveness of the selected MCU-based platform compared to the traditionaldedicated DSP hardware, we propose to use the following assessment measures:  First, students’ feedback in the form of survey questionnaires will be collected. We plan to conduct two sets of surveys: One from students who completed the DSP class in spring 2015. In this course, the dedicated DSP hardware was used. As a comparison, we will also obtain surveys from students who will complete the DSP class in spring 2016. In this course, the MCU-based DSP hardware will be used. Such feedback will help us to assess how the students feel about the effectiveness of the proposed MCU-based platform compared to the DSP-based

Conference Session

Technology-Related Educational Research

Collection

2016 ASEE Annual Conference & Exposition

Authors

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

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Computers in Education

the interpreter project that was part of the course. After the completionof this activity, in each course, students were asked to complete a survey about their experiences inusing the tool. In Section 4, we present an analysis of the survey results which suggest a very posi-tive effect of the approach on students’ learning, and highlights the importance of various featuresof our approach. We conclude in Section 5 with a brief summary and plans for future work.2 BackgroundOur approach builds on two key notions that have been used successfully in various branches oflearning sciences over the past few decades: Cognitive Conflict Driven Learning and Computer-Supported Collaborative Learning.2.1 Cognitive Conflict Driven LearningPiaget’s

Conference Session

Modeling and Simulation

Collection

2016 ASEE Annual Conference & Exposition

Authors

Luis E Monterrubio, Robert Morris University

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Computers in Education

postdoctoral fellow in the area of bioacoustics. He teaches dynamics, machine design, numerical methods and finite element methods. He has work for the automotive industry in drafting, manufacturing, testing (internal combustion engines—power, torque and exhaust emissions, vibration fatigue, thermo-shock, tensile tests, etc.), simulations (finite element method), and as a project manager (planning and installation of new testing facilities). c American Society for Engineering Education, 2016 Analytical Solution, Finite Element Analysis and Experimental Validation of a Cantilever BeamIntroductionThe purpose of this work is to show how a series of labs can be used to provide

Conference Session

Modeling and Simulation

Collection

2016 ASEE Annual Conference & Exposition

Authors

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

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Computers in Education

and someone proposed this mission, would you approve it? Why or why not? 2. If you were planning this trajectory, would you be worried about the lifetime of the spacecraft? Why or why not? 3. Would you fly this mission? Why or why not?In the chemical engineering course, the AspenTech programs HYSYS and Aspen Propertieswere used for simulations. Aspen Properties is a chemical property database that allows users tolook up thermodynamic information for chemicals and chemical systems. HYSYS is thesimulation software that allows users to simulate a chemical plant or process. HYSYS is widelyused in industry, and in chemical engineering senior design courses throughout academia.Because of technical difficulties throughout the term

Conference Session

Computers in Education Division Poster Session

Collection

2016 ASEE Annual Conference & Exposition

Authors

Rachael Alexandra Mansbach, University of Illinois, Urbana-Champaign; Geoffrey L. Herman, University of Illinois, Urbana-Champaign; Matthew West, University of Illinois, Urbana-Champaign; Dallas R. Trinkle , University of Illinois, Urbana-Champaign; Andrew Ferguson, University of Illinois, Urbana-Champaign; Andre Schleife, University of Illinois, Urbana-Champaign

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al., SIIP was designed to focus on creating collaborativeteaching environments that enabled faculty to iteratively and sustainably innovate instruction.This environment was created by organizing faculty into Communities of Practice (CoPs) thatwould choose what innovations to pursue and evaluate their efforts to create those innovations. ACoP is an organizational structure that effectively spreads knowledge, decreases the learningcurve for novices, minimizes reenactments of failures, and promotes creativity11,12.The MatSE CoP is composed of one tenured and five tenure-track faculty who meet on a weeklybasis to discuss course administration, data collection, and future plans. The goal of thesemeetings is to develop a common set of resources

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

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Computers in Education

-based retrieval, supervised learning for regression-based time series prediction, andBayesian models for causal inference on the decision support end.Both informal assessment of the system and intensive user testing on a pre-release version haveyielded positive feedback. This feedback is instrumental in feature revision, both to improvesystem functionality and to plan the adaptation of the design of these two data explorationcomponents to other STEM disciplines, such as computer science and mathematics. Lessonslearned from visualization design and user experience feedback are reported in the context ofusability criteria such as desired functionality of the pattern inference system.The paper concludes with a discussion of the system as an

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

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Computers in Education

instruction to the needs of the intended learners isan undeniably critical component of teaching. Smith and Ragan refer to this process asinstructional design and define it as a “systematic and reflective process of translating principlesof learning and instruction into plans for instructional materials, activities, informationresources, and evaluation” (p. 4).7 Further, Smith and Ragan assert that understanding thelearners, which requires consideration of learners’ needs and goals, is not only necessary butcentral to successful instructional design.7 Regardless of educational platform, instructioncannot be appropriately designed to meet the needs of the learners and ultimately produce thedesired outcomes without a comprehensive understanding of the

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

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Computers in Education

with respect to engineering students and instructors. Thisresearch endeavor might as well lead to model the relationship between the usability of LMS forengineering vs. other academic disciplines. It has been detected from the SAM that there are notsufficient research endeavors to understand how usable LMS are with respect to occupationaltraining in corporations. The research has been focusing on usability of LMS in educationalinstitutions, yet corporation e-training has been disregarded. The authors are planning to focus onLMS usability for different types of employees; covering blue collar and white collar employees’trainings. 4. Which LMS types have been investigated mostly?Moodle and Blackboard have been the mostly used LMS in the

Conference Session

Computer-Based Games and Animations in Education

Collection

2016 ASEE Annual Conference & Exposition

Authors

Jacob R Grohs, Virginia Tech; Darren K Maczka, Virginia Tech Department of Engineering Education; Michelle Soledad, Virginia Tech; Kiran Kelsey Bagalkotkar

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Computers in Education

ADAGE25 ) to track specific meaningful behaviors such as thenumber of times a player clicks the query button for objects (information gathering to define theproblem and plan) or to capture the rapid acceleration of object placement that could indicate the“aha moment” of insight in discovering the solution and quickly implementing. By pairing suchdata with think-aloud interviews, we can corroborate or refute such coding in order to exploremetacognitive activity in problem solving. That is, through such procedures we hope to not onlyobserve and document specific strategies being used, or to hear the participant claim to use suchstrategies, but to see if and when both happen together.InterviewsThe semi-structured interviews were designed to get a