AI-Driven Education:An Empirical Study on Evaluating LSRW Acquisition Through Active Involvement and Learning

In recent past Communication has played a key role in the job market and societal norms. Students with better communication skills are academically and technically smart, they communicate and understand their colleagues which creates a holistic work/study environment. The four main divisions of communication skills are LSRW (Listening, speaking, reading and writing). Each and every division is directly or indirectly dependent on each other. Improving these four skills are essential in today’s world. To foster these skills a new model has been proposed which is backed by AI (Artificial Intelligence). After each skill module this model tests a student’s communication skills and generates feedback which shows the interpretation level of the student. This data is given to an AI model which generates questions according to the understanding of each student. Each student gets a unique set of questions according to his/her understanding and interpretation skills. This model coerces a student to engage in advancing their communication skills. It strengthens one’s knowledge in each and every aspect of the communication skill as it has speaking and listening exercises incorporated in it. Hence, we can say that the proposed AI model has a $\mathbf{95\%}$ success rate as it has an optimistic effect in a student’s study and work-related aspects. Since it is easy and effective it can be incorporated in schools, colleges, universities, companies and various other institutions. The implementation of these AI tools shows a generative impact in the above-mentioned institutions.