Automatic engagement estimation in smart education/learning settings: a systematic review of engagement definitions, datasets, and methods

ABSTRACT:

Background

Recognizing learners’ engagement during learning processes is important for providing personalized pedagogical support and preventing dropouts. As learning processes shift from traditional offline classrooms to distance learning, methods for automatically identifying engagement levels should be developed.

Objective

This article aims to present a literature review of recent developments in automatic engagement estimation, including engagement definitions, datasets, and machine learning-based methods for automation estimation. The information, figures, and tables presented in this review aim at providing new researchers with insight on automatic engagement estimation to enhance smart learning with automatic engagement recognition methods.

Methods

A liter

SUBMITTER: Karimah S 

PROVIDER: S-EPMC9660128 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature