Work

Developing a System to Report Levels of Understanding from Educational Data

Year: 2016

Type: article

Abstract: We developed a system to automatically analyze educational data from individual elementary and junior high students and to graphically represent trends in student understanding for teacher use. With this tool, teachers could see the percentage of questions answered correctly and trends in errors by analyzing students’ learning records. We found that this can enable teachers to provide appropriate learning support and support individual progress by providing appropriate adaptive learning.

Source: SOAR (Shinshu University)

Authors: Takeshi Morishita, Yoshinori Higashibara

Institution: Shinshu University

Language: English

Topic: Online Learning and Analytics

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

Funder: Japan Society for the Promotion of Science

Award: Development of a Visualization Method for Learning Comprehension by Student's Individual Learning Data