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Learning in Massive Open Online Courses (MOOCs) requires learners to self-regulate their learning process or receive effective self-regulated learning (SRL) interventions to accomplish personal goals. However, research has overlooked a person-centered analysis of how online learners perform SRL in this setting. To fill the gaps, this research applied learning analytics to explore learner profiles in terms of how they performed SRL in MOOCs. Using K-means clustering analysis, this research revealed four different self-regulated learner profiles: all-around SRL learners, disillusioned SRL learners, control-oriented SRL learners, and control-dominated SRL learners. In addition, all-around SRL learners outperformed the other three clusters in course grades. This research also identified the cultural difference between those clusters. Practical implications on designing effective SRL interventions are provided.