Using AI to predict student performance!

Let's see if we can forecast Timmy's math grade using a Random Decision Forest… From virtual teaching assistants named Jill Watson and Happy Numbers to essay grading software like Gradescope, artificial intelligence has started seeping into schools, colleges, and universities. Although it's interesting to learn about the benefits and detriments of this development, I'm more fascinated with the following question: how can we use artificial intelligence and machine learning to improve student success? My first stab at this broad question was seeing if we could predict student performance based on student/parent participation. From my experience, teachers often encourage students to participate in class discussions, activities, and projects. In addition, schools usually encourage parents to take part in their child's education through parent teacher conferences, surveys, and meetings.