Method for Personalized Learning Using a Seamless Knowledge Spectrum

摘要

The software system gives students the teacher homework question. The system also asks the students to write a more difficult question than teacher question and a less difficult question to be linked with original. The system uses machine learning techniques to rank the questions. The software system then asks students who are part of the class to rank these unordered questions. The system re-ranks the question list and repeats the process all the questions are ranked. The system uses these ranked lists to personalize learning of students. The system first presents the student with a teacher question from the list used by the majority of the students. Then the system provides synonym questions and midway questions to determine student's current knowledge. The system then seemlessly increases the student knowledge by presenting questions which are increasingly difficult.