Using an Artificial Intelligence Application Based on Integrating Social-Emotional Learning in Developing EFL Listening and Speaking Skills of Faculty of Education English Majors

Abstract

The present study aimed at using an artificial intelligence application based on integrating social-emotional learning in developing some listening and speaking skills of first year English majors. A quasi-experimental pre-post control group research design was used to achieve the study objectives. Sixty students from the Faculty of Education first year English majors were randomly chosen and divided into two intact groups: the experimental and the control groups. The experimental group students were trained using an artificial intelligence based mobile application to develop their EFL listening and speaking skills. The control group students were taught the same content through the regular method of teaching. The instruments of the study included two needs assessment questionnaires to determine the EFL listening and speaking sub skills that are mostly needed by first year English majors, a pre-post EFL listening skills test, and a pre-post EFL speaking skills test. Analysis of data obtained by students (using t- test) revealed that the experimental group significantly surpassed the control group in the post-performance of the tests. Discussion of these findings, recommendations and suggestions for further research are presented.

Keywords: Artificial intelligence applications, listening and speaking skills, Social-emotional learning

Abstract