10 papers analyzed
These studies suggest that personalized learning tailors instruction to individual needs, considers dynamic learner profiles, and can improve academic performance and wellbeing, though it requires adaptive design, self-regulation, and supportive environments.
Personalized learning is an instructional strategy that tailors education to the unique needs, interests, abilities, and backgrounds of individual learners. This approach has gained significant attention in recent years due to advancements in technology and data analytics, which enable more dynamic and adaptive learning environments.
Core Components of Personalized Learning:
Role of Technology:
Learner Agency and Engagement:
Challenges and Implementation:
Impact on Student Outcomes:
Personalized learning is a multifaceted approach that leverages technology and data analytics to tailor education to individual learners' needs. Key components include adaptive learning paths, learner profiles, and flexible learning environments. While technology plays a crucial role, the success of personalized learning also depends on continuous adaptation based on learner data and providing learners with some control over their learning process. Despite its potential benefits, challenges such as standardized testing constraints and the need for a unified approach to implementation remain. Overall, personalized learning holds promise for enhancing student engagement and academic performance.
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