An Intelligent Approach to analyse the Impact of Speaking Skills through an Intervention on Existential Intelligence in an ESP Classroom

Interventions are vital for improving students' knowledge and skills, with varying disciplines necessitating diverse forms of mechanisms. This research investigates an intervention within an English for Specific Purposes (ESP) classroom, using Existential intelligence (EI) as a tool to enhance Speaking Skills. The present approach to assessing these impacts relies on questionnaires and the Communicative Skill Rating Scale (CSRS). Measuring students' progress based on the manual scales has a lot of challenges. This study proposes utilising Artificial Intelligence (AI) and Deep Learning (DL) methods. This approach aids in formulating interventions with reduced bias while supplementing conventional evaluation metrics. The student interactions are captured in the form of video and then are processed. Audio, image/footage, and textual conversation features are extracted and processed to identify the thresholds for various features. These thresholds are then aggregated to yield comprehensive student performance evaluations. The proposed intelligent technique is engineered to produce better performance and inclusive measurements of the impact of the EI Learning Tool on the speaking skills.