This chapter explores the transformative potential of Cognitive Artificial Intelligence (AI) in enhancing Self-Regulated Learning (SRL) within eLearning environments. Motivated by the growing need to support personalized and adaptive learning, the chapter investigates how Cognitive AI tools, particularly through the synergy with learning analytics, can aid learners in the planning, action, and reflection stages as outlined in Zimmerman's cyclical model of SRL. The study employs a multifaceted methodology, combining theoretical analysis, an extensive survey of educational practitioners, and case studies to provide empirical evidence of the current applications and challenges of Cognitive AI in education. Our findings reveal significant improvements in SRL practices, collaborative learning dynamics, and student engagement when AI tools are effectively integrated. However, the study also highlights critical ethical concerns, such as data privacy and the risk of reducing human interaction. The chapter concludes with actionable recommendations for educators and policymakers, emphasizing the need for ethical frameworks to guide the implementation of AI in educational settings. This work not only contributes to the academic discourse on AI in education but also provides a roadmap for future research and practical strategies for integrating AI to support SRL.