Pros and cons of personalized learning.

AI is embedded in various software and platforms with many companies’ founding vision to make students’ learning experiences more personal and successful. For example, some schools use platforms (e.g. Altitude learning) where the educator can create individual learning paths for each student based on the student’s level. At the same time, this platform monitors students’ progress. Other software (Newsela) actively promotes students’ literacy by providing texts at different difficulty levels to accommodate a variety of language skills. This helps students build confidence, increases inclusion, and increases literacy. Another software (DreamBox Learning) increases students’ math understanding by specifically providing problems on the individual students’ level, which helps slowly build up expertise. AI could not only be used to aid students but also to facilitate the educator’s job, e.g. it could be used for automated essay scoring or analytical dashboards.

Choice 1 : Pros and cons of personalized learning.