Module 5: Data Analysis, Infographic, or Tool Prototype

Module 5: Data Collection & Analysis in EdTech Evaluation

For Module 5, I created an infographic that explores four standard methods for gathering data when evaluating educational technology: surveys, Learning Management System (LMS) analytics, interviews, and observations. I designed the layout with simplicity and clarity in mind. Each method was presented in a bullet-style format to highlight its purpose, strengths, and limitations. This allowed for a quick yet meaningful comparison across data sources.

I chose this mixed-methods approach because no single data collection method tells the whole story. For example, when we rolled out Magic Student AI a few weeks ago, I used a Google Form survey to gather feedback from students. It provided fast, actionable insights that helped us make adjustments early in the pilot. At the same time, LMS analytics provided me with a behind-the-scenes look at how students were using the tool, how long they spent on tasks, which features they used most, and where they struggled.

More in-depth methods, such as interviews and observations, helped fill in the gaps. Interviews provided students and teachers with space to express nuanced thoughts, while classroom observations revealed how the platform was being used in real-time, not just how it was intended to be used.

Both Teresa and Lauren provided encouraging and constructive feedback. Teresa mentioned that she is also using surveys to gather input on another AI tool, SchoolAI, which validates my choice to prioritize fast and direct user input. Lauren appreciated the clarity of the bulleted format, noting how it made each section digestible and visually appealing, something she wishes she had used in her submission.

This assignment reinforced the idea that triangulating data, using multiple data sources to evaluate a tool, creates a more accurate and holistic picture of its effectiveness. In future evaluations, I will continue to blend both quantitative and qualitative approaches to ensure my findings are not only valid but also actionable.