Introduction to Methods in Learning Sciences II

851-0255-00L Spring Semester 2024

The course aims at equipping students with a suite of advanced quantitative and qualitative tools to support their existing research and develop new lines of inquiry in the Learning Sciences. By providing opportunities to analyze empirical educational data, the course will allow students to develop an appreciation for the breadth of methods that can be employed to improve the process of learning.

The course will be centered around exploring methodological perspectives by focusing on conceptual aspects of datasets and experiments in the Learning Sciences. Face-to-face meetings will be held every fortnight, although students will be expected to work individually on weekly tasks (e.g., discussing relevant literature, performing data analysis, finding patterns in data and linking them to educational theory).

The course has the following components:

- advanced statistical methods (e.g., mediation and moderation)

- advanced qualitative methods (e.g., interaction analysis)

- computational methods (e.g., prediction and structured discovery with educational data)