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Friday, Aug 23, 2019

CA Test Series launches IRevision, an AI-based algorithm for revising syllabus

The algorithms in IRevision will record the student’s performance based on individual chapters and subjects for which he/she is taking the revision test.

brand-post Updated: Aug 13, 2019 13:59 IST

For the first time in CA preparation, aspirants can make use of various AI and Machine Learning based algorithms for revision.
For the first time in CA preparation, aspirants can make use of various AI and Machine Learning based algorithms for revision.(Digpu)
         

CA Test Series, incepted in 2015, with digital test series for subjective papers, has launched an AI-powered revision algorithm - IRevision. IRevision has revolutionised Edutech with its hybrid approach to combining advanced technology with human efforts. CA Test Series has helped more than 80,000 CA students over the years.

In recent times, various sportspersons and international players like athletes have improved their game by working on technology for practice and performance optimisation. It is due to the Machine Learning based software that interprets even the minutest details of the whole process.

CA Test Series has introduced the same concept in Education. For the first time in CA preparation, aspirants can make use of various AI and Machine Learning based algorithms for revision. These algorithms in IRevision will record the student’s performance based on individual chapters and subjects for which he/she takes for revision test.

IRevision identifies the subject/chapter wise performance of the student in relation to the highest- scorer of respective subject/chapter in the current year and the past years. Feedback to the student is based on the following:

1.The chapters which need more emphasis than others

2.The difficulty level of each chapter revision text in relation to the past years’ final exams of C.A.

3.The average score of the student for the specific chapter and the weightage of that chapter in the final exam

4.The revision time required to improve the performance at par to the highest-scorer in the CA test series

5.A comparative analysis of the previous and latest revision tests – showing the level of improvements, if any, since last revision.

6.The relative performance of the student in relation to the highest-scorer

7. The relative performance of the student in relation to the previous year’s highest-scorer:

a)The subjects that the highest scorers have emphasized on

b)The memory system tells the student when to revise a particular topic again.

Hindustantimes

All these factors are automatically calculated by Machine Learning Software. These help the student to prepare a precise and clear strategy for preparation of the exam.

“This AI algorithm took several months to be designed and developed. The system is based on a unique concept which suggests the student when to revise, which topic to revise, how much practice is required, and when to revise the same again based on your memory. It is just like an expert trainer providing dedicated guidance to a student for 12 hours according to their learning pace and memory retention”, said Mayur Singla, spokesperson, CA Test Series, on being asked about IRevision.

IRevision (www.catestseries.org) consists of a vast set of Machine Learning algorithms working in tandem to process the data. Many experienced programmers have been working tirelessly to improve the system. It is aided by the knowledge collected from various universities, study patterns and the process undertaken by these universities for preparation for the exam. We have also worked hard on identifying scientific ways for enhancing memory power.

As per Mr. Singla, “The mantra to success is to understand your ability and use them strategically, For an exam which is already dreaded everywhere, IRevision helps the aspirants to understand their learning pace and problem areas respectively. It guides them on the specific chapter and subject to be revised until clarity is achieved on the subject matter.”

Source: Digpu

Disclaimer: This content is distributed by Digpu. No HT Group journalist is involved in the creation of this content.

First Published: Aug 13, 2019 12:58 IST

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