Student Knowledge Prediction for Teacher-Student Interaction

The constraint in sharing the same physical learning environment with students distance poses difficulties to teachers. A significant teacher-student interaction without observing students' academic status is undesirable constructivist view on education. To remedy teachers' hardships estimating knowledge state, we propose a Student Knowledge Prediction Framework that models and explains student's state for of student modeled predict future mastery level concept. proposed framework integrated into an e-learning application as measure automated feedback. We verified applicability assessment through expert survey. anticipate will achieve active by informing teachers learning.