Aim/Purpose: Using Artificial Intelligence with Deep Learning (DL) techniques, which mimic the action of the brain, to improve a student's grammar learning process. Finding the subject of a sentence using DL, and learning, by way of this computer field, to analyze human learning processes and mistakes. In addition, showing Artificial Intelligence…

Arithmetic word problem (AWP) solving is a highly demanding task for children with learning disabilities (LD) since verbal and mathematical information have to be integrated. This study examines specifically how syntactic awareness (SA), the ability to manage the grammatical structures of language, affects AWP solving. Three groups of children in…

A Virtual Resource Center (VRC) has been brought into use since 2008 as an integral part of a task-based language teaching and learning program for Business English courses at Nantes University, France. The objective of the center is to enable students to work autonomously and individually on their language problems so as to improve their language…

Grounded in Vygotskyan sociocultural theory, this qualitative, classroom-based investigation incorporates an open-ended task framework. Open tasks in the present study were defined as ones designed to take shape in the second language classroom as teacher and adult learners jointly worked through exploratory problems. One central feature of open…

This qualitative study provides preliminary insight into the role of the first language (L1) when pairs of intermediate-level college learners of French and Spanish are engaged in consciousness-raising, form-focused grammar tasks. Using conversation analysis of audiotaped interactions and stimulated recall sessions, we explored the ways students…