Title: The effects of personalised mathematic instruction supported by an intelligent tutoring system during the COVID-19 epidemic and the post-epidemic era
Authors: Jiyou Jia; Shanshan Li; Yanying Miao; Jinxia Li
Addresses: Department of Educational Technology, Graduate School of Education, Peking University, Beijing, China ' Department of Educational Technology, Graduate School of Education, Peking University, Beijing, China ' No. 47 Middle School, Shibei District, Qingdao City, Shandong Province, China ' Dabailao Primary School, Yanqing District, Beijing, China
Abstract: It is hard to find an empirical study that examines the online learning or blended learning's effect on school pupils' regular exam performance during the COVID-19 epidemic and afterwards. This study attempts to fill in this research gap. An intelligent tutoring system (ITS) was utilised in mathematics online instruction in many elementary and middle schools in China. It supports individualised teaching and learning and has positive effect on students' learning. Two case studies are introduced to illustrate the system's functions and effects on students' mathematics learning performance. In the first case, a mathematics teacher in a junior high school provided the students with differentiated assignments during the epidemic. In the second case, a teacher in a primary school utilised the ITS to implement blended learning after the epidemic. Quasi-experiments were conducted and the regular examination's data analysis result shows that the treatment group outperformed the control group.
Keywords: online learning; personalised learning; blended learning; intelligent tutoring system; ITS; epidemic; mathematics instruction.
International Journal of Innovation and Learning, 2023 Vol.33 No.3, pp.330 - 343
Received: 29 Dec 2021
Accepted: 02 Mar 2022
Published online: 05 Apr 2023 *