TSENG, ChIH HSUEH
National Taipei University of Education Department of Digital Technology Design – Master Program in Toy and Game Design Student
Email：lieken1225@gmail.com
FAN, PING LIN
National Taipei University of Education Department of Digital Technology Design – Master Program in Toy and Game Design Professor
Email：plfan@tea.ntue.edu.tw
YU, CHI SHAN
National Taipei University of Education Department of Digital Technology Design – Master Program in Toy and Game Design Professor
Email：chsyu@tea.ntue.edu.tw
Abstract
The diversity and convenience of data bring users enough knowledge sources in the era of big data, which is suitable for teachers’ self-learning after compilation and editing. In the past education researches, it only established knowledge graphs, and was rarely used for teaching and teachers’ self-learning. The Purpose of the Study is to explore the teacher’s self-learning after using the knowledge graph integrated by the Internet. Compared with traditional search engines, the knowledge graph can quickly sort web pages based on user queries, improve search efficiency, and reduce data duplication.
This study recruited 14 elementary school teachers to participate, and used the interview method and self-directed learning scale.The results showed that the teachers have a high degree of acceptance of the knowledge graph and the self-directed learning score is higher than the average score. Interviews show that the knowledge graph should tend to be used in teacher’s class documentary, auxiliary materials, collaborative lesson preparation platform.
Keywords :Self-directed Learning, e-Learning, Knowledge Graph, Big data