This paper presents a comprehensive examination of how multimodal artificial intelligence
(AI) approaches are paving the way towards the realization of Artificial General Intelligence …

The motivation for this paper is derived from the fact that there has been increasing interest
among researchers and practitioners in developing technologies that capture, model and …

In this article we present a multi-modal machine learning-based system, which we call
ACORN, to analyze videos of school classrooms for the Positive Climate (PC) and Negative …

Acoustic features and machine learning models have been recently proposed as promising
tools to analyze lessons. Furthermore, acoustic patterns, both in the time and spectral …

The principle of traditional education has transformed fundamentally within the last few
years. The growth of new computer and communication technologies has provided learners …

Using automated models to analyze classroom discourse is a valuable tool for educators to
improve their teaching methods. In this paper, we focus on exploring alternatives to ensure …

This article presents our unimodal privacy-safe and non-individual proposal for the audio-
video group emotion recognition subtask at the Emotion Recognition in the Wild (EmotiW) …

The classroom climate is shaped by a combination of teacher practices and peer
relationships. The Classroom Assessment Scoring System (CLASS) has been designed to …

Classroom observation methods are fundamental tools for improving the quality of education
and students' academic achievement. However, they traditionally require participation of …

Abstract Machine learning algorithms for sound classification can be supported by multiple
temporal, spectral, and perceptual features extracted from the sound signal. The number of …