
doi: 10.1049/pbpc040e_ch2
Adaptive learning has a lot of potential as it provides personalized information and learning material for learners of various fields and areas. The adaptive e-learning systems are now an ingrained vehicle of modern education. It accommodates an extensive range of learners with varied backgrounds who register with their specific learning objectives. The main challenge in the current situation is to produce adaptive learning paths so that learners can attain their goals successfully. Previous works used static features such as learners' level of knowledge, browsing preferences, grasping ability, and learning styles to determine personalized learning materials.
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