Citation :

Ankita Joshi, Jitendra Singh, Shital Yadav, Rahul Mahala, "Artificial Intelligence Approaches to Mitigate Emotional Dissonance and Enhance Faculty Retention in Indian Higher Education: A Review," International Journal of Engineering Trends and Technology (IJETT), vol. 74, no. 4, pp. 13-26, 2026. Crossref, https://doi.org/10.14445/22315381/IJETT-V74I4P102

Abstract

India is known for its regional and cultural diversity, which presents both challenges and opportunities for the higher education system. The northeastern region of India faces various political and social concerns, including the lack of education, which impacts industries and employment retention. Emotional inconsistency is significantly affecting the performance of teachers and their mental well-being. With more than 1168 universities and 15.98 lakh teachers, finding a balance between personal and professional life is becoming challenging. Artificial Intelligence (AI) technologies can help resolve these issues by analyzing complex datasets, minimizing administrative workload, reducing emotional distress, and fostering a more cooperative environment. Whereas the ideas of introducing AI in academic education led to concerns of data security, technical facilities, and the fear of unemployment or skill deficiency for teachers. This study aims to evaluate and analyze an AI approach for the retention of faculty staff and engagement, and to recognize challenges and opportunities. AI can manage emotional inconsistency and retention of faculty in Indian Higher academic studies by providing personalized counselling, strengthening emotional intelligence, and providing data-driven guidance. However, these AI-enabled solutions must respect the personal space of faculty and undergo regular evaluation.

Keywords

Artificial Intelligence, Emotional dissonance, Faculty retention, burnout, job dissatisfaction, Natural Language Processing, Machine learning.

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