Building data literacy to make data-driven decisions takes several steps. It does not simply just happen. But with practice, we can conduct data-driven decision-making seamlessly throughout the school day. Last week for Part 1 of this blog series, we focused on collecting student data and understanding there’s plenty of it to be collected in K-12Continue reading “Using Data to Make Data-Driven Decisions in K-12 Education: Part 2 – Cleaning Data”
Data is powerful, especially in the realm of education. At times, it may be self-affirming while on the other hand, it makes you question your current practices and policies because the data identifies further ramifications that make us have to dig deeper to determine what’s going on as well as devising solutions to the problems we face as educators. But, most importantly, it tells a story about the students we serve, which then we are called to do something about it as teachers and administrators. Over the last few days, I have been able to analyze several data sets that have been collected from the California Department of Education. The data sets I analyzed encompass all of the 2018 California K-12 School demographics, state testing scores, attendance rates, suspension rates, and funding mechanisms. My goal was to transform the data into several self-affirming stories of what the data is telling us as well as how we dig deeper into the stories the data is illustrating to determine new insights into we how to solve the problems we have identified.
Doctoral Research Update – Working Title and Progress on Chapters 1, 2, and 3: Chapter 1, 2, and 3 of my dissertation are coming along very well. While revision and editing are needed for each chapter, major progress has been made this summer!
Background of Big Data and Educational Data Mining
This blogpost is about the history of data mining…
In this blogpost, I will discuss how data mining works within the knowledge discovery process.