A systematic literature review of personalized learning terms

Smart Learning Environments

Jonathan Michael Spector¹  Atikah Shemshack¹ 

[1] University of North Texas, Denton, USA;

关键词: Personalized learning;    Adaptive learning;    Learning;    Intelligent tutoring systems;    Learning analytics;    Personalized adaptive learning;    Systematic review;   

DOI  :  10.1186/s40561-020-00140-9

来源: Springer

【 摘 要 】

Learning is a natural human activity that is shaped by personal experiences, cognitive awareness, personal bias, opinions, cultural background, and environment. Learning has been defined as a stable and persistent change in what a person knows and can do. Learning is formed through an individual’s interactions, including the conveyance of knowledge and skills from others and experiences. So, learning is a personalized experience that allows one to expand their knowledge, perspective, skills, and understanding. Therefore, personalized learning models can help to meet individual needs and goals. Furthermore, to personalize the learning experience, technology integration can play a crucial role. This paper provides a review of the recent research literature on personalized learning as technology is changing how learning can be effectively personalized. The emphasis is on the terms used to characterize learning as those can suggest a framework for personalized and will eventually be used in meta-analyses of research on personalized learning, which is beyond the scope of this paper.

【 授权许可】

CC BY