So.PremaVidya(PV), the organization that I am currently working with is scaling from 200 schools to almost 500 schools next year and will be impacting more than 100,000 students in the state of Karnataka. PV has been doing an amazing job by monitoring the progress level of each student until now. They intend to to retain the quality while scaling, a dilemma any organization will face.
So, we were given a set of different goals by PV which included three big questions:
How do we scale while maintaining quality?
How is PV going to show that they are actually creating an impact?
How is PV going to monitor rural schools and rural students?
These are really ambitious goals. With the help of Professor Moledina, we refined our question and decided to stick with one question. Basically the question was "What kind of data do we use to show that PV is creating an impact?"
We know that the SSLC pass percentage is increasing when PV intervened in schools. What we don't know is how or why the SSLC pass percentages are increasing. There could be a number of factors affecting this, and we intend to show that PV is actually contributing to the rise in SSLC pass percentages.However, we are lacking time and we realize this.
So how do we get the data that we need? We thought that surveys would be a good starting point. Our professors handed out surveys at the end of each semester to analyze the quality of their teaching and their teaching materials. We emailed different education professors in the US to get their opinion as we crafted the questions for the survey. We also emailed high school principals to find out how they have been assessing the quality of education in their schools. Using these, we crafted questions for the surveys. We got the surveys translated to Kannada to be distributed to two PV schools.
We visited the schools and were well received by the students. They were excited to see us(more excited to see Kristen since I look just like every other kid in the class) and were more interested in getting to know us than answering the surveys. Once we collected the completed surveys, we had to wait 3 days for them to be translated. We analyzed the surveys only to find that the answers were not what we were hoping for. We were hoping to find the learning processes the students are using while learning with the video. We were also to find other factors that might influence the child's ability to learn in class(lack of motivation to go to school).
With these, we realized that we had to conduct more research to improve our method of gathering data. I'll talk more about our progress in the next few posts.
So, we were given a set of different goals by PV which included three big questions:
How do we scale while maintaining quality?
How is PV going to show that they are actually creating an impact?
How is PV going to monitor rural schools and rural students?
These are really ambitious goals. With the help of Professor Moledina, we refined our question and decided to stick with one question. Basically the question was "What kind of data do we use to show that PV is creating an impact?"
We know that the SSLC pass percentage is increasing when PV intervened in schools. What we don't know is how or why the SSLC pass percentages are increasing. There could be a number of factors affecting this, and we intend to show that PV is actually contributing to the rise in SSLC pass percentages.However, we are lacking time and we realize this.
So how do we get the data that we need? We thought that surveys would be a good starting point. Our professors handed out surveys at the end of each semester to analyze the quality of their teaching and their teaching materials. We emailed different education professors in the US to get their opinion as we crafted the questions for the survey. We also emailed high school principals to find out how they have been assessing the quality of education in their schools. Using these, we crafted questions for the surveys. We got the surveys translated to Kannada to be distributed to two PV schools.
We visited the schools and were well received by the students. They were excited to see us(more excited to see Kristen since I look just like every other kid in the class) and were more interested in getting to know us than answering the surveys. Once we collected the completed surveys, we had to wait 3 days for them to be translated. We analyzed the surveys only to find that the answers were not what we were hoping for. We were hoping to find the learning processes the students are using while learning with the video. We were also to find other factors that might influence the child's ability to learn in class(lack of motivation to go to school).
With these, we realized that we had to conduct more research to improve our method of gathering data. I'll talk more about our progress in the next few posts.
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