Session 1 - Introduction to Data

Reflect on the data you listed in Section 2. How would you classify each piece of data? Consider factors like whether it's descriptive or numerical, and if it relates to the learners, the learning environment, or the learning outcomes.

Using Different Types of Data

Triangulation of Data

HGIOS 4 emphasizes the importance of data triangulation, a technique where multiple data sources and methods are employed to gain a deeper and more reliable understanding of educational phenomena. Triangulation, drawing from qualitative research principles (Patton, 1999), aims to validate findings by seeking convergence across diverse data points. For example, combining student performance data with teacher interviews and classroom observations provides a multifaceted view, reducing the risk of single-source bias and enhancing the overall validity of the evaluation.