Hi everyone! So I’ve recently been developing a new talk on an intro to data science using python- it involves using interview transcripts to understand sentiment and creating valuable visualizations all within python!
First, some background on the project:
When I was at Duke University, I participated in Bass Connections, a program launched by a $50 million gift from Anne and Robert Bass. The program provided both graduate and undergraduate students with the opportunity to participate in research projects across different disciplines and partner with professors from various parts of the university. Our team, in the Education and Human Development focus, sought to find out about the future of Massive Open Online Courses (i.e. Coursera, Udemy, Kahn Academy, etc,).
We put up two separate courses in the spring of 2014: one on Introduction to Chemistry taught by Professor Dorian Canelas and another on Data Analysis and Statistical Inference taught by Professor Mine Cetinkaya-Rundel.
My initial goal was to see if we could use sentiment analysis of student feedback to determine whether or not obtaining a certificate was the only way to measure success in Coursera courses. We are still in the process of finishing up this paper, so keep an eye out for it! Overall, we found that there are many different motivations and barriers that students have for taking an online course!
Extending this to Millennials specifically
Millennials: Overconfident, lazy and coddled – or are they? SNL did a hilarious skit about Millennials, which pins them to be self centered and entitled. But does this stereotype resonate everywhere or only in traditional settings? I looked to see what happens when we evaluate less traditional environments such as Massive Open Online Courses such as Coursera to see how well they adopt to this new way of learning that is fundamentally self-driven and self-motivated.