The Education Scholar section synthesizes cutting-edge research on artificial intelligence in higher education, with particular emphasis on:
▌Critical intersections of AI and social justice in educational contexts, examining both opportunities for increased access and potential risks of algorithmic bias
▌Pedagogical innovations through AI, including adaptive learning systems, intelligent tutoring, and personalized learning pathways that respond to diverse student needs
▌Ethical frameworks and governance strategies for responsible AI integration, addressing privacy concerns, data protection, and algorithmic transparency
▌Faculty development and evolving pedagogical practices in an AI-enhanced environment, exploring changing roles and required competencies
▌Evidence-based approaches to AI implementation in resource-varied contexts, considering global perspectives and cultural sensitivities
▌Interdisciplinary connections between AI, education, and social sciences, examining impacts on teaching methodologies, student engagement, and learning outcomes