The Psychological Impact of AI - generated Feedback on Learner self- concept and Motivation

The current research was aimed at examining how AI-based feedback can influence emotionally positive or negative responses of students and their engagement in learning in higher education. Based on a quantitative research design, statistical analysis methods were used to operate on 270 teachers within the Pakistani educational landscape with the help of a structured questionnaire. The results indicated that the tone and quality of AI generated feedback could have a significant impact on motivation and confidence rates of students and their engagement in learning behaviors. Mediation analysis demonstrated that emotional response was also a vital component in describing the relationship between the level of feedback quality and engagement. The implementation of clear and timely AI feedback in accordance with the satisfaction of teachers might lead to an increase in the focus of the students or the alleviation of anxiety and trigger active learning, but in some cases, misdesigned information unsettled the students or even irritated them. According to this information, there is a necessity that is to be taken into account in order to identify the proper solution to introduce the AI technology in the classroom without causing the crisis with the assistance of training and establishing relations with the technical support. The discussion has emphasized the need to adapt AI feedback types to different needs of the current learning process and balance the presence of technology and human communication in order to establish further inclusion and accessibility. AI feedback has a potential to be the practical approach to education that would improve learning results provided it is applied in a moral and innovative manner as demonstrated by the researchers conducting the study