Learner Characteristics in a Chinese Mathematical Intelligent Tutoring System

Autor:	Huey-Min Wu, Kai-Chih Pai, Chia-Hua Lin, Chih-Wei Yang, Hsiao-Yun Huang, Bor-Chen Kuo, Shu-Chuan Shih
Rok vydání:	2021
Předmět:	business.industry education ComputingMilieux_COMPUTERSANDEDUCATION Learning analytics Mathematics education Web application Student learning Information repository business Intelligent tutoring system
Zdroj:	Adaptive Instructional Systems. Design and Evaluation ISBN: 9783030778569 HCI (31)
Popis:	The present study aims to explore the effectiveness and learner characteristics of Chinese Mathematical intelligent tutoring system in multiple mathematics subjects. Data were collected from primary school, secondary school, and college. The students’ interactions were recorded in database as log files. The data were coded to fit the format of Datashop, which is a data repository and web application for researchers analyzing learning sequence of data. A learning curve visualizes changes in student learning state over interactions on different mathematics subjects. The results of learning characteristics of students were discussed. Furthermore, the study compared students’ learning patterns in three different score groups (high, medium, and low). The results found that students with lower pre-test score received more prompting in their interaction comparing students with higher pre-test score. More learning patterns were discussed.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4c8936b14e6fd1662799d8d7385b5225 https://doi.org/10.1007/978-3-030-77857-6_27 Zobrazit plný text záznamu