This course delves into transformative techniques for analyzing educational big data. Students will gain an in-depth understanding of both historical and contemporary applications of Machine Learning methodologies, such as knowledge tracing and deep learning. Through this course, students will critically engage with emerging research topics in education.
Athena Title
Big Data and ML in Education
Prerequisite
ERSH 4300/6300 or ERSH 4300E/6300E or ERSH 4300H
Semester Course Offered
Offered fall
Grading System
A - F (Traditional)
Student learning Outcomes
At the completion of this course, students will be able to identify key concepts and terminologies related to big data analytics.
At the completion of this course, students will be able to apply machine learning techniques and tools to analyze educational datasets.
At the completion of this course, students will be able to design research projects that apply educational data science approaches to address specific research questions and challenges.
