Artificial Intelligence (AI) chatbots play an important role in modernizing education, particularly e-learning platforms by acting as intelligent tools to address issues such as disengagement and dropout rates. AI chatbots are also used to captivate students through engaging and enjoyable learning activities. These chatbots can enhance the pedagogical concept of Self-Regulated Learning (SRL) by providing personalized support and feedback to students. This work explores how AI chatbots might increase students’ SRL skills and foster successful learning outcomes in e-learning environments. Our proposed conceptual framework aims to link the AI chatbots (technological side) and self-regulated learning (pedagogical side) using the power of academic emotions. In the forethought phase of SRL, our AI chatbot will guide students in setting short-term goals while detecting their initial motivation and then monitor students in the following phases of the SRL process. The framework highlights how AI chatbots using academic emotions can be used to support learning needs and will serve as a roadmap for future theory development and empirical investigation.