Do You Know The Effects Of Normalisation Of Marks in Government Exams…?
Before we move ahead with the effects of normalisation of marks in government exams, let us first understand the concept of normalisation. As a student we intend to understand the concept, however, we still have certain doubts. We have built this blog to clarify all your doubts on normalisation of marks in government exams. Read full blog to understand about normalisation of marks.
What is Normalisation…?
Normalisation of marks means increasing and/or decreasing the marks obtained by students in different timing sessions to a certain number. By that as it may, students who have scored 30 marks in session 1 because of hard level of exam will get 60 marks. Similarly, students who have scored 90 marks will also be marked as 60 marks following the normalisation process.
|Session||Average Minimum Marks Scored||Average Maximum Marks Scored|
|Normalised Marks(Min/4; Max/4)||240/4 = 60||280/4= 70|
Please note, this is just and example of the normalisation and can vary on the actual number of average minimum & maximum marks as well as the total number of session conducted for the exam. If the number of sessions increase, then the increased session would be counted and vice versa.
For example, if total sessions are 5, the number of average minimum marks would be 240/5= 48 and maximum would be 280/5=56. This is assuming the total sum of average minimum & maximum marks in all 5 sessions 240 and 250 respectively. The normalised average could also vary if the minimum or maximum marks are increased/decreased.
Also, the process and concept of normalisation of marks would vary depending on the exam board of India.
Why was Normalisation of marks introduced?
The concept of normalisation of marks was introduced because the level of difficulty of government exams conducted in various shifts is different from each other.
For example, a student who has appeared in first session or shift of the exam might have scored low marks. However, the same student would have scored more or even higher marks if he had appeared in any of the latter shifts of the same exam.
To eradicate this discrepancy the exam conducting Governing boards of India have introduced the concept of normalisation of marks in exams.
Does Normalisation of marks have a negative impact?
In terms of actual score, the impact of normalisation would lead to decrease in the marks of candidates who have scored higher in the exam. However, such candidates shouldn’t worry about their scores because they would have cleared their exam. The should just follow the next step(s) in their selection process.
Similarly, students who think they might have scored less, but would have received higher marks shouldn’t be stunned. They should understand that their actual result varied because of normalisation of marks and following their next steps to selection process.
In which exams has Normalisation of marks been introduced?
The most recent announcement has been made in the SSC CGL 2018 examination. Marks of students appearing for SSC CGL Tier 1 and Tier 2 exams would be normalised if conducted in different shifts. SSC is planning to apply the concept of normalisation in all of its upcoming exams.
Apart from SSC CGL, exams such as Railways exams, IBPS exams, etc would also have normalisation of marks.
What are the major effects due to Normalisation of marks…?
To say that normalisation of marks would have a drastic effect in government exam wouldn’t be wrong. Here are some of major effects caused due to normalisation or marks:
- Students who think they have scored the minimum marks in their shift might receive higher scores.
- Students who think they might have score high marks would actually get lower normalised marks.
- Selection of candidates would become much faster and easier process for all governing boards of India.
- Students who have appeared in exam with difficult and easier level would now be considered on a single platform.
- There will be no disregard of marks based on different shifts.
Other posts you might be interested in: