Conference Session

Computers in Education Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Debarati Basu, Virginia Tech; John Stanton Goldstein Purviance, Virginia Tech ; Darren K Maczka, Virginia Tech; Daniel S Brogan, VIrginia Tech; Vinod K. Lohani, Virginia Tech

Tagged Divisions

Computers in Education

based on the particular device, regardless of the order in which theywere detected. The instruments’ data collected by the python programs were stored in a local MySQLdatabase on the Raspberry Pi. This local database on the Raspberry Pi had seven data tables; twofor the acoustic Doppler current profiler, four for the weather transmitter and one for the waterquality Sonde. Some instruments used multiple tables to store data in a way that reflected howdata was retrieved from them. All of the tables in the local database had an index column thatserved as the primary key, a column with time stamps from the system time and columns of datavalues. The data values were stored as floating point numbers to preserve precision.6.0 System

Conference Session

General Technical Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

John P. Mullen, New Mexico State University

Tagged Divisions

Computers in Education

: Scatterplot of Average Test Score vs. Class Participation PointsFigure 9 shows the average quiz score, compared to the total of all other points in the course.Both totals were adjusted to 100 points to simplify comparison. There is a surprisingly highcorrelation between the two scores (R = 0.59, P = 0.002). However, this probably reflects the factthat those students who skipped quizzes also tended to skip classes and skipped turning in someassignments. The fact that three students did very well in the quizzes, but got a “C” in the courseindicates that there is no clear cause and effect. Figure 9: Quiz Score vs. Total Non-Quiz Course ScoreStudents who participated in the questions with instructor feedback between attempts

Conference Session

Course Development / Curriculum Development

Collection

2015 ASEE Annual Conference & Exposition

Authors

Alisa Gilmore P.E., University of Nebraska, Lincoln

Tagged Divisions

Computers in Education

paper is organized into the following sections: Background: The Need for a MobileRobotics Course, Mobile Robotics Course Goals, Course Innovations, Analysis of StudentFeedback, Reflections, and Conclusion. Page 26.460.2Background: The Need for a Mobile Robotics CourseThe Mobile Robotics course was developed as part of a progression of educational roboticsinitiatives birthed on our campus from 2005 to 2013. A brief overview of these initiatives is firstgiven to provide the motivation and context for the creation of this course and its designelements. Figure 1In 2005, the idea of using robotics to

Conference Session

Innovative Use of Technology I

Collection

2015 ASEE Annual Conference & Exposition

Authors

Zhou Zhang, Stevens Institute of Technology; Mingshao Zhang, Stevens Institute of Technology; Yizhe Chang, Stevens Institute of Technology, School of Engineering and Science; Sven K. Esche, Stevens Institute of Technology, School of Engineering and Science; Constantin Chassapis, Stevens Institute of Technology, School of Engineering and Science

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

. Therefore, after segmentation, these features were extracted by the featureextractor. Then, these features were input into the classifier. Basically, the classifier can recognizethese 3 objects with very high accuracy (89.1% for the digital scale, 91.3% for the pump and98.4% for the Xplorer GLX. The relatively low accuracy of the recognition is attributable to theKinect’s inability to cope with reflective surfaces which reduces the scanning accuracy. (a) (b) Figure 9: Step motor (a) photograph of physical step motor; (b) model in GBVL Page