Data analytics for exam preparation and coaching

Overview

It’s common knowledge for students and teachers alike, who scan the previous year exam papers to understand the recurring pattern on topics/concepts which the questions are directed too. Then using this understanding to focus more on topics/concepts which predominantly reoccur , during preparations.?

We make an attempt to use MCQ (multiple choice questions) response of students to infer the following?

• Their strong and weak concept/topics
• Their improvement on weak concept/topics with time and consistency in maintaining their understanding on strong concept/topics?
• Their instructor’s efficacy on students improvement on concept/topics?

We then intend to utilize the students current weak topic aspects and its priority in terms of the topics predominant occurrence in past exam questions to create a priority list of topics which the student should focus , to batter exam results.?

Student’s topic/concept understanding grading

If we are able to tag MCQ on what topics/concept its related to like illustrated below?

We would be able to understand the students concept ranking or which are those concept/topic tags which the student has fared better and which are worse??

Understanding a student’s concept understanding

We can pick a students MCQ response and understand the particular student’s strong and weak areas. And also the progress in improvement or variation in understanding of these topics

Instructor’s concept teaching efficacy

Correlating the student’s MCQ response to the instructor who imparted the teaching, we can build a profile on the instructor too, with their students strong and weak aspects.

Personalized exam preparation plan

Using the analytics from “Understanding a student’s concept understanding” where we are able to garner a particular student’s weak topics, and also understanding the topic re-occurrence in previous year exam papers