Research on Personalized Teaching Strategies Based on Learner Profiles in a Blended Learning Environment

Research on Personalized Teaching Strategies Based on Learner Profiles in a Blended Learning Environment

Bing Liu, Dongbin Yuan
DOI: 10.4018/IJICTE.346823
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Abstract

The effort to implement personalized teaching in blended learning environments faces various challenges, such as the diversity of needs among learners, educators must find ways to identify, understand, and address these differences. This study explores how to construct a learner profile model in blended learning environments, develop personalized teaching strategies based on learner profiles, and evaluate the effectiveness of these strategies. The results demonstrate that personalized teaching strategies significantly enhance learner engagement, autonomy, and academic performance. These strategies have been validated through satisfaction surveys conducted with both teachers and students. The study provides a theoretical framework and practical guidance for personalized teaching while also highlighting challenges in implementation. It is recommended that future research expand sample sizes, integrate quantitative and qualitative research methods, and pay closer attention to learners' personalized needs to further enhance the practicality and effectiveness of personalized teaching strategies.
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