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Displaying all 8 results
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
Tagged Topics
Diversity
Tagged Divisions
Computers in Education
ofinspections in software industry (i.e. to save rework cost, effort, and time), academia should alsoprioritize training students with early quality assurance skills (i.e. inspections) during SDLC.Therefore, this research reports the results from a practical training experience to help studentsimprove their understanding of inspection which in turn, would improve their inspectionperformance. This paper presents results of an academic study on the effect of reflection(training) technique on thirteen graduate and twenty-six undergraduate students on theirinspection performance. The participants individually inspected two different requirementdocuments using fault-checklist method and recorded faults pre and post reflection. We analyzedthe impact of
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
Tagged Topics
Diversity
Tagged Divisions
Computers in Education
. Through this progression they were able to master most if not all of the challengesand learning outcomes.In this paper we will look at some examples of sessions based on these learning blocks and wewill examine if the camp met the expectations of the campers based on pre- and post-activitiesfor particular learning blocks and the end of camp surveys. We will also look at their level ofengagement during activities as well as how formative assessment was built into the campthrough one of the self-reflection pieces that was part of the process.Materials and MethodsThe primary design strategies for our camp were based on the implementation of learning blocks,which were strongly focused on formative assessment strategies, Blooms Taxonomy
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
Tagged Topics
Diversity
Tagged Divisions
Computers in Education
successful performance onwell-structured problems is not a predictor of success on ill-structured problems becausefundamentally different reasoning skills are needed.7 While well-structured problems are oftensolved once an appropriate algorithm has been identified and used, solving ill-structured problemsinvolves skills such as argumentation and reflective design to robustly identify the problem itselfbefore considering potential solutions.9,10 Success in the setting and solving of ill-structuredproblems has been linked to metacognitive strategies,7,9 specific cognitive skills such asanalogical reasoning,11 and epistemological beliefs.12,13 Analogical reasoning is a higher orderthinking process whereby novel problems are interpreted as an amalgam of
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)
Tagged Topics
Diversity
Tagged Divisions
Computers in Education
developing skills and understanding where the abilities and tools for learning gainedfrom various life stages (e.g., childhood) and various sources (e.g., schooling) provide a contextand resource for learning and performing in later life.8 Lifelong learning capability is seen whenan individual or group reflects on the current situation and resolves to address a problem, toshare an idea, or to do research and further study to gain a better understanding of the situation.Thus, lifelong learning happens serendipitously in the workplace, at home, and at play, as part ofdaily living.Some authors have written on the role of technology in lifelong learning. Idrus and Atansuggested that life-wide learning hinges on technology mediated communication
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
project is supported in part by National Science Foundation award # 1229744. The HPCcluster is funded by NSF MRI project with award # 1332566. The evidence based teachingmethod is supported by Department of Education award # P120A140064. Opinions, findings,and conclusions or recommendations expressed in this material are those of the authors and donot necessarily reflect the views of the National Science Foundation and Department ofEducation.Bibliography[1] P. S. Pacheco, "An Introduction to Parallel Programming," Morgan Kaufman, ISBN: 978-0-12-374260-5.[2] D.A. Bader and R. Pennington, ``Cluster Computing: Applications,'' The International Journal of High Performance Computing, 15(2):181-185, May 2001.[3] Retrieved from http://www.top500.org
Conference Session
Innovative Teaching
Collection
2016 ASEE Annual Conference & Exposition
Authors
David J. Frank, The Ohio State University; Kevin J. Witt, The Ohio State University; Chris Hartle; Jacob J. Enders, The Ohio State University; Veronica Beiring, The Ohio State University; Richard J. Freuler, The Ohio State University
Tagged Topics
Diversity
Tagged Divisions
Computers in Education
losingcommunication with the RPS system.Beyond the level of accuracy provided, the system does face other limitations. Reflected lightand glare inhibit QR code detection when said glare occurs adjacent to the QR code itself.Detection is also inhibited when QR codes are not perpendicular to the camera. The system canhandle most skewing of QR codes less than 20°, however larger angles result in loss of detectionwhile moving and severe angles can prevent stationary QR codes from being detected at all.CostThe cost of the system for support of one course was approximately $6,000. This estimateincluded the 8020 aluminum structure, the cost of the LabVIEW and NI vision software, thecomputer, and the electronics of the system. The effective cost of the system for
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
learners work hand-in-hand withindustry experts, academic researchers, and data scientists to elicit the type of design behaviorsthat reflect real world engineering practice in the aerospace industry. This allows us to develop,test, and refine the instrumentation methodology, data architectures, analytics, and visualizationapproaches before interfering with the day-to-day work within an organization. In the context ofour work, a program called AerosPACE was developed not only as a senior capstone course, butalso to serve as a test bed.AerosPACE is an engineering education program developed by a large US aerospace company.The primary goal of this program is to bridge the gap between theory and application, (and tohelp students understand the
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
% 30.80% Table 5. Shows the results of answers for question 5In addition to results shown in Table 5 reflecting what other commitments students have everyweek, an average of Work/Family/Other commitments was calculated with results showing anaverage of 52.1 hours committed to activities per student. Table 6 shown below displays thestudents’ preference by grouping the answers from question one into two groups. These twogroups being prefer and not prefer. Advising System Type System Type at least Preferred not preferred no answer Face 2 Face 87.90% 12.10% 0.00% Mobile 70.10