Over the past decade, multiple artificial intelligence-based models and systems have been
developed and employed in classroom discourse as a means of facilitating learning and …

Automatic speech recognition (ASR) has recently become an important challenge when
using deep learning (DL). It requires large-scale training datasets and high computational …

Classroom dialogue plays a crucial role in enhancing the quality of teaching and learning.
Many researchers have utilized artificial intelligence (AI) and Internet of things (IoT) to …

The present study provides the first empiric evidence that the creation of human–machine
peer learning (HMPL) couples can lead to an increase in the level of mastery of different …

Audio recording in classrooms is a common practice in educational research, with
applications ranging from detecting classroom activities to analyzing student behavior …

The paper delves into the ethical dimensions of Artificial Intelligence in Education (AIED),
focusing on the evolution of educational interactions and the advent of EdTech, highlighting …

We provide the first empiric evidence that creation of human-machine peer learning (HMPL)
couples can lead to increase of level of mastery of different competences in both humans …

La Resolución Colaborativa de Problemas (RCP) es una de las habilidades más importan-
tes para el siglo 21 dada la complejidad de los problemas del mundo moderno. Sin …

This research aims to improve the noise robustness of automatic speech recognition (ASR),
specifically in the context of climbing gyms. There is no known research on ASR …

In this article, we present three imperatives which help us to develop our AI-driven Personal
Primer project in an ethically valid and sustainable manner. The deployment imperative …