Statistical Data Mining

Q&A with Rachael Hageman Blair

How is the course structured?

"The course is a hybrid course, and every week I provide the students a course outline with specific objectives, as well as how they will be achieved. Sometimes I lecture; sometimes it’s a mixture of lecture and a computational piece which is posted on UBlearns. The students like that they can follow along with the videos at their own pace. We also have forums which go towards class participation. The final project is a journal club."

Why did you move part of the course online?

"The reason was to ease and balance my work-life responsibilities. It was a pleasant surprise to find that it’s a more effective method in some parts.”

What kind of feedback have you received from the students?

"The feedback has been very positive. I actually won two departmental teaching awards for the classes based on the course evals. The students like that they can pause and rewind the computational labs. It is a great resource when they are working on homework. It allows them to work at their own pace. This is particularly important because I have students from other departments and other backgrounds in the course. It makes the transition easier."

Why do you like this approach?

"I know that it is the most effective approach for the course. The flexibility in my schedule allows me to not stress about time management. I’m now comfortable with the technology. The students are also more engaged in the learning than if it was a traditional course."

Learning Technologies Applied in STA 545 and STA 546