Applying dashboard diagnostics for measuring students' coding performance based on coding logs

Autor: Jian-Hong Liao, 廖健宏
Rok vydání: 2019
Druh dokumentu: 學位論文 ; thesis
Popis: 107
Data visualization is usually defined as the last step of knowledge discovery. In the framework of learning analytics, using the dashboard to present the results of data visualization can support teachers to interpret students' learning behavior in the classroom and make the decision to appropriate intervention opportunities. However, if we plan to apply the dashboard in the programming course, we first need to overcome the problem of visualizing a large number of behavioral features, simplify the content of the dashboard, and provide an effective way for teachers to interpret. Therefore, this study aims to provide a learning behavior dashboard for a program language course, and with the interpretation results suggest teachers appropriate intervention opportunities. We validated our dashboard in a Python programming course with 171 first-year university students and summarized students often encounter problems when writing programs.
Databáze: Networked Digital Library of Theses & Dissertations