The Development and Evaluation of Personalized Instruction Model Using Learner Data and Cloud-based Learning Tools

• In Event: TIL- Learning Analytics in K-12

Short Description

With improved physical conditions in the school setting, personalized instruction with learner data and cloud-based learning tools can be implemented. Hence, the study aims to develop a personalized instruction model based on learner data and cloud-based tools and investigate its impact. The results of the study provide empirical evidence of the positive impacts and possibility of personalized instruction in the school setting. The study also provides suggestions for modifying current teacher training and teaching practices.

Authors

• Contributor: Cheolil Lim, Seoul National University

• Contributor: Jiyoon Chae, Seoul National University

• Contributor: Yujie Han, Seoul National University