Studies have shown that class attendance in college has strong correlation with GPA. It is a better indicator of college grades than other indicators such as SAT scores, HSGPA, studying skills, and the amount of time spent studying. Traditionally, class attendance is taken manually by the instructor, which may waster too much class time or be impossible with a large class size. New technologies such as RFID can greatly reduce the attendance recording time but are costly. In this project, we aim to design a smartphone-based system that can efficiently and accurately track college class attendance in a cost-effective way. We will investigate different approaches for smartphone-based attendance tracking and evaluate their usability through a user study.
Eugene Garcia
Nicolas Ponder
Hugo Rivera
Jun Zheng
Rita Guo
Publications
H. Rivera, E. Garcia, N. Ponder, R. Kuo, J. Zheng, Efficient and cost-effective class attendance management with a smartphone-based system, in Proc. of the 28th Annual Conference of the Society for Information Technology and Teacher Education, SITE 2017, Mar. 5-9, 2017, Austin, TX, pp. 965-972.
E. Garcia, N. Ponder, H. Rivera, Efficient and cost-effective class attendance management with a smartphone-based system, Poster presentation at Annual New Mexico Tech Student Research Symposium, Apr. 20, 2017.
N. Ponder, H. Rivera, E. Garcia, R. Kuo, J. Zheng, Assessing the usability and efficiency of a smartphone-based class attendance tracking system, Journal of Computing Sciences in Colleges, Vol. 33, No. 2, pp. 20–27, Dec. 2017.
This project is supported by a CREU grant for the 2016-2017 academic year. The CREU project is sponsored by the Computing Research Association Committee on the Status of Women in Computing Research (CRA-W) in conjunction with the Coalition to Diversify Computing (CDC). The project is funded by the National Science Foundation.