Kathryn "Katie" Drzewiecki

Currently for teachers, there is an emphasis on the use of technology in their classrooms, and along with that comes the need for teachers to be able to monitor their students’ progress throughout the educational software. Educational technologies collect vast quantities of click-stream log data as students progress, however, this data currently often requires a large time commitment from teachers to extract process information. Frequently, the dashboards that teachers have access to display mostly completion and accuracy information - did they do it, and did they get it right - and they may be cluttered and difficult to navigate making them intimidating to use. I am interested in the process of transforming click-stream log data from educational technology programs into a format that is easy for teachers to interact with, understand, and use to make changes in their classrooms. This research informs developing a dashboard -- a visual representation of the data from a specific program -- for teachers using design-based research with an emphasis on ease of use through distributed cognition and interpretable data visualizations. To the best of my knowledge, teachers are seldom involved in the creation of dashboards resulting in insignificant information for them. With the quantity of data that many of these programs are capable of collecting it’s a waste not to utilize it! My goal with my research is to determine how teachers perceive, interact with, and utilize educational data, dashboards, and interfaces, particularly those that provide teachers with rich process information about students' mathematical understanding. Future avenues for this line of research include introducing artificial intelligence (AI) supported features for identifying students who may benefit from additional assistance, incorporating human-in-the-loop models that teachers may refine based on the needs of their classes, and interconnected data visualizations for tracking individual students who may benefit from additional attention.

Graduate Research Assistant at Worcester Polytechnic Institute

B.S. Statistics and B.S. Psychology from Arizona State University 2017

I am a second year MS/PhD student in the Learning Sciences & Technologies program at Worcester Polytechnic Institute mentored by Dr. Erin Ottmar. I'm currently working on several different projects including data visualization and dashboard design, SEM and math anxiety, and several smaller projects. I am interested in learning more about LAK, cognitive load, and decision making.

Previously, I was a consultant research assistant (supervisor) for the Social Addictions Impulse Lab (SAIL) at Arizona State University. My primary roles were split between being the lab's technical support wizard, data management and cleaning, ensuring participant confidentiality, and managing the training of up to 16 research assistants for the in-person screening protocol for SAIL's dosing study (ended November 2018).

Additionally, I am a professional tutor through WyzAnt.com. I tutor primarily mathematics, though I have also picked up a specialty for students who have executive function deficit disorders (ADD/ADHD). As of 11/2018 I've tutored over 1,200 hours over the course of the last 7 years, although I did tutor 3 years prior to that unprofessionally.

I currently hold a Bachelors of Science in Statistics (ASU 2017) and a Bachelors of Science in Psychology (ASU 2017), though I'm working on adding to that list.