Abstract
Sending messages automatically without the involvement of human input is known as Message Automation or Text Automation. This study aims to identify and Categorise students based on Personal Learning Traits for Adaptive Learning Systems.Despite the growing academic research in the field of adaptive learning, its various applications and implementations, the field lacks a comprehensive literary analysis that categorises users of adaptive learning apparatuses depending on independent understanding abilities in these settings. This study provides an overview of various student personality attributes and methods for grouping them together to provide better and improve adaptive learning environments and systems to cater to a larger user base.
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