Adaptive learning platforms leverage computer-mediated assessments to personalize the learning experience for individual students. These systems use algorithms and artificial intelligence to analyze a student's performance and tailor educational content accordingly. One notable example is the use of intelligent tutoring systems (ITS).

Features and Analysis:

Personalized Learning Paths:

Adaptive learning platforms analyze a student's strengths and weaknesses based on their responses to various questions and tasks.
The system then generates a personalized learning path, delivering content and assessments that specifically target areas where the student needs improvement.

Real-time Feedback:

Immediate feedback is provided after each assessment, offering students insights into their performance.
Detailed explanations for incorrect answers help students understand their mistakes and learn from them.

Adaptive Difficulty:

The difficulty level of questions adapts based on a student's performance. If a student demonstrates mastery in a particular area, the system advances to more challenging questions.
Conversely, if a student struggles with a concept, the system adjusts by providing additional support and simpler questions.