The Practice section helps you evaluate your learning. There are various tests - subject wise, chapter wise and full length mock tests. You will find the personalized suggestions the most interesting feature in this section
An overview of this section looks like this:
Here, you will find Mock Tests, Past Year Question Papers, Topic Wise questions and Full length Mock Tests.
Personalized Suggestions on DQ Edge:
If you look at the section closely, you will find the “My Suggestions” Box. This is the most important feature of the Practice section of DQ Edge.
Practice as you know is key to evaluate what you have already learnt. But we look at Practice differently. For us, if you need to practice, you just don't need to know what you got right or wrong. If your test could tell you what specific topic you need to study in terms of priority, then that would help you out tremendously.
We at DQ Labs put in a lot of effort to be able to scientifically let you know how these suggestions are generated - We use a patent pending “Multi Dimensional MCQ Technology”
Patent Pending Multi Dimensional MCQ Technology on DQ Edge:
This is an award winning technology invented by the founders of DQ Labs and is hosted on Examplay Edutech learning Platform. This patent pending technology has won the prestigious 2019 NASSCOM Design4India Award.
You can find out more about the award from here
The difference between the a regular MCQ and the Muti-Dimensional MCQ is below:
In a regular MCQ, you will have a standard question with answer options and a submit button.
The information that you can get from it is limited and will help you to a limited extent.
In a Multi Dimensional MCQ, you will have a standard question with answer options. However, the magic happens with the submit button. An example is below:
Here, we are asking the student to input another layer of data - i.e. How did they come up with the solution.
They will choose from the following:
Note: Sometimes students may use multiple approaches to come up with the solution, however, they need to choose the dominant approach.
This way, the student is actually introspecting on how they are coming up with their answers.
A wealth of analytics is generated from this technology as listed below
How students can Interpret Analytics on DQ Edge:
The Analytics that are generated from DQ Edge is as follows:
These are 3 very unique insights that no other technology platform in the world can give. These are scientifically generated and if used properly, can help a student improve learning significantly in a much shorter period of time.
These are explained below in detail
The point of this section is to understand the actual Metacognition of the student - clarity in what they know and what they don't know.
Here, the student understands that in their scorecard - they have actually got some answers right even through guessing. They understand that these are topics that they still have to work on.
In this section, the marks scored by Random Choice are not considered so as to show the True Score of the student.
The point of this section is to help a student know how they should be utilizing their time most effectively, in the run up to the exam.
Here, we look at the break up of the approach. Sets of coloured cards are shown to the student showing.
Ideally, there should be more green or orange and less red in the graph. The graph should also be almost complete. The graph above shows minimal preparedness for the exam.
However, we do recommend that the student looks through all the questions in the question paper. A Red topic may have easy questions as well!
DQ Edge - Faculty Insights - How DQ Labs enables Faculty to mentor students better!
Our Cohort (specific batch of students) Level analytics help us to mentor students better. Each faculty has access to the topics taught at each centre. We get a break up of the performance of the class as a whole.
We also identify the specific students who fall into each slab of the class and focus on helping those students individually to perform better.
Another unique feature is that the faculty can see specific topics where the cohort are performing topic wise. The topics highlighted in Red are found to be difficult across the class. A faculty is directed to teach these topics in detail - again.
Faculty also check the performance of the cohort across various tests given to the students to get more insights into group learning.
This is the most unique system of mentoring students and is an example of how DQ Labs uses technology, to aid our faculty to teach our students better. It truly deserves the 2019 NASSCOM Design4India Award