To clarify relationship between GPA (Grade Point Average) and usual school life activities, we have developed a new educational e-portfolio system environment including not only conventional education data but also school life data in our university in Japan. School life data means non-lectures activities such as job hunting, club activities, home study, hobby, and part time job. A most feature of the e-portfolio system is a quick and convenience smartphone application in order to navigate students’ school life data. Therefore, students can easily input usual school life activity data using their smartphone. We have two experiment phases. In the first phase, from April to September 2013, target is the fourth degree students. In the second phase, from April to September 2014, target is freshmen in our university. In the first phase, students’ job hunting problems were clear. (1) job hunting time is 40hours per a week, (2) no relations between GPAs and job hunting success, (3) job hunting cost is large. In the second phase, we found that GPA has relationships with lecture time and hobby time. GPA has no relationship with home study time and part-time job time. The analysis results are valuable for school advisors and teachers in order to support student school life. In future, we will trace changes of GPA and changes of school life activities data during 4 years on each student. These changes are important for university education. The relationship between GPAs and school life activities will be clarified more using our e-portfolio environment.
Noriko Hanakawa, Hannan University, Japan
Masaki Obana, Osaka Institute of Technology, Japan
Stream: Digital technologies and communications
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