Learning Analytics and Artificial Intelligence in Education

About

Learning Analytics (LA) and Artificial Intelligence (AI) have been increasingly integrated in education over the past decades. Both LA and AI have provided innovative ways to enhance teaching, learning, and improve decision making processes. Over the past years, they helped offer personalized learning, predictive analytics, automated assessment and feedback as well as supported teachers and administrators to offer innovative educational solutions. The recent rise in AI capabilities introduced several advancements that have changed how educational materials are developed, personalized, and delivered. Furthermore, AI is also changing the ways students’ data is collected, analyzed, assessed or researched.
This LA and AI in education course will offer a framework for understanding of the new emerging fields and explain how data can be optimally collected and analyzed in education. The course will address the principles of LA and AI, discuss the ethical issues, the main foundational principles and the theoretical background behind LA and AI. The course will also introduce real-life examples with real-data and authentic scenarios and applications where the attendees will practice with hands-on analysis.
More importantly, the course will introduce the tools and methods and train the attendees on using LA and AI methods. For instance, attendees will use process mining to analyze learning processes, practice sequence analysis to trace how learning unfolds, or apply explainable AI to predict students in need of help. Students will use AI to generate learning and assessment materials, analyze data, automate feedback or augment explainable AI.
The course’s main strategy will be building students’ knowledge and skills with an emphasis on hands-on practice with real-life data, tools and methods where the students will not only learn how-to but will also practice to do the analysis and build their skill set in LA and AI. Most importantly, the knowledge and skills acquired in the course can be easily transferable to other fields in which analytics and AI are relevant.
The instructors have vast experience in the field with over 200 publications, two LA and AI methodological books and have run the same course nine times with students from over 30 countries. You can look at the profile of them here Mohammed Saqr and Sonsoles López Pernas or the LA unit. All inquiries and questions about the course can be directed to mohammed.saqr@uef.fi

Course leader

Mohammed Saqr (mohammed.saqr@uef.fi)

Target group

Master, Doctoral

Fee info