From Automation to Personalization: Evaluating AI's Influence on Educational Outcomes

Abstract

The concept of Artificial Intelligence (AI) already finds some recognition in education as a factor that can make it more progressive and efficient. The spheres, in which AI was utilized, are the advanced teaching, individual learning, student-teacher coordination, and the use of technology in evaluation, which has been examined by former researchers. Application of AI in reaction and identification of the emotions exhibited by the students in the learning process is one of such systems. Modern technologies can identify facial expressions, tone gaps, and interpret written feedback to provide correction feedback and specially designed emotional feedback. Neither is optimizing the group of students based on the help of the uplifting of the village academic performance but the students emotional well-being and interest. The discussed article is a literature review where no experiment is conducted. It reveals the methodologies, concerns and infusion of emotional intelligence in AI-based learning. Also, ethical concerns that include privacy, fairness, trust among others are covered. The synthesized overview of the study given would be instructive in the context of another study and play part in acquisition of intelligent educational systems, which are supporting, interactive, and useful.