Rethinking Leadership in the Age of AI

View at publisher
Authors: Hima Parameswaran
Cited by: 0
References: 40

Abstract

Education is one of the many facets of our society that is changing, and the integration of artificial intelligence (AI) in education is having a profound impact. Adaptive leadership is crucial to the teaching and learning process in this context, as it influences student well-being, enthusiasm, and academic achievement. Consequently, there are several advantages to incorporating AI into emotional assessment in educational environments that could revolutionize understanding and approaches to students' socioemotional growth. Nevertheless, a comprehensive framework that organizes the subject's potential, challenges, and developments remains lacking. Students in the twenty-first century need more than standard academic instruction to succeed. They must be skilled in problem-solving, cooperation, communication, and social-emotional learning (SEL). Students with SEL and traditional skills will be better prepared to thrive in the rapidly changing digital economy. For thirty years, academics have been studying emotional intelligence (EI). The real-world setting in which emotional intelligence is produced and employed has, surprisingly, received little attention, even though there has been significant discussion about how to quantify it and about the validity of its assessment. More precisely, there is a substantial void in understanding the emergence and influence of digital interactions on emotional intelligence. In this background, analyzing the literature from a broader perspective is imperative to enhance emotional intelligence in technology-rich classrooms. This comprehensive literature review examines the application of artificial intelligence (AI) to emotion assessment in educational settings. Additionally, it offers a comprehensive overview of the field, highlighting advancements, challenges, and opportunities in AI-powered emotional assessment in academic settings. By leveraging machine learning algorithms and natural language processing, AI systems can analyze human emotions across multiple modalities, including facial expressions, speech patterns, and text. This information can provide personalized feedback on emotional regulation, social interaction skills, and self-awareness. This study also examines the leadership styles that foster the use of Emotional Intelligence (EI) in classrooms. Hence, it guides teachers in developing strategies for transformational leadership within a digital learning context, addressing the challenges and ethical considerations associated with leveraging technology to cultivate emotional intelligence (EI) in the 21st-century classroom.

Fields of Study & Subjects

Artificial Intelligence in Education Emotion and Mood Recognition Intelligent Tutoring Systems and Adaptive Learning

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Pages
419–444
Publication date
10 March 2026
Language
EN
Document type
Book chapter