A systematic literature review of personalized learning terms

• Published in: Smart learning environments Vol. 7; no. 1; pp. 1 - 20
• Main Authors: Shemshack, Atikah, Spector, Jonathan Michael
• Format: Journal Article
• Language: English
• Published: Singapore Springer Singapore 23.10.2020; Springer Nature B.V; SpringerOpen
• Subjects: Adaptive learning; Computers and Education; Cultural Background; Customization; Education; Individual Needs; Intelligent tutoring systems; Learning; Learning analytics; Literature reviews; Meta Analysis; Personalized adaptive learning; Personalized learning; Review; Skills; Technology Integration; Learning; Adaptive learning; Learning analytics; Personalized learning; Intelligent tutoring systems; Systematic review; Personalized adaptive learning
• DOI: 10.1186/s40561-020-00140-9
• ISSN: 2196-7091

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.