The rapid growth of online learning environments, which was sped up by the COVID-19 epidemic and the advent of artificial intelligence (AI), has changed the role of instructors from traditional knowledge transmitters to facilitators of fair, inclusive, and technology-enhanced learning. This study seeks to integrate current literature regarding the strengthening of teacher skills for equitable digital pedagogies, focusing specifically on AI literacy, inclusivity, professional development, and teacher well-being. A systematic literature review was conducted, utilising sources from prominent academic databases and policy documents (2012–2025). Approximately 40 peer-reviewed studies and reports were thematically analysed across four categories: teacher competencies, equity and inclusion, professional development models, and well-being. The results indicate that teachers need to know more than just how to use computers. They also need to know how to use AI, be conscious of ethics, and be able to change their teaching style. Frameworks like TPACK, SAMR, and the EQUIP paradigm show how technology, teaching, and ethics can all work together. Culturally responsive teaching and policy initiatives (such as NEP 2020 and UNESCO standards) stress the need for inclusivity. Professional development models are using MOOCs, AI-driven mentorship, and online communities that work together more and more. However, there are still problems with scalability, contextual adaptability, and equity, which hinder the effective implementation of these teaching and policy initiatives in diverse educational settings. Teacher well-being is becoming a major issue since technology and too much digital information contribute to stress and weaker connections between teachers and students. Positive psychology and digital minimalism are suggested as methods for strengthening resilience, particularly by promoting a balanced use of technology that enhances teacher-student relationships and reduces stress. The study indicates that improving teachers' skills in the age of AI requires a comprehensive approach that combines technological proficiency, pedagogy that focuses on fairness, and frameworks for well-being. Although conceptual models offer robust theoretical frameworks, empirical validation and contextual adaptation are still inadequately developed, especially in multilingual and rural environments, which can hinder the effective application of these models in diverse educational settings. Future research should focus on the ethical integration of AI, culturally sensitive professional development, and the systematic implementation of well-being measures to guarantee sustainable and inclusive digital education.
Newton Barai (Sun,) studied this question.
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