From Data to Insights: The Power of Learning Analytics

Authors

  • Abdullatif Kaban Atatürk University

Keywords:

Artificial Intelligence, Education, Learning Analytics, AI in education

Abstract

In this section, we'll be diving into the world of Learning Analytics and its importance in education. We'll define what it is and explain how it can boost student success.

We'll also be exploring the relationship between Learning Analytics and educational technologies. These two can work together to enhance the learning experience for students.

Furthermore, we'll discuss how predictive models created through Learning Analytics can improve educational processes and teaching methods.

 

Visualizing Learning Analytics data and understanding student behavior is crucial for effective learning. In this section, we highlight the significance of this practice.

Social Learning Analytics is an innovative approach that can enhance student engagement and foster better interactions among students. We'll delve into this topic as well.

It's important to address ethical and security concerns when utilizing Learning Analytics. In this section, we'll provide suggestions on how to safeguard data privacy.

Lastly, we'll discuss future advancements and trends in Learning Analytics. Analytical approaches in education are expected to become more widespread, and we'll explore what this means for the future of education.

Published

2023-09-16

How to Cite

Kaban, A. (2023). From Data to Insights: The Power of Learning Analytics. ISTES BOOKS, 101–120. Retrieved from https://book.istes2.org/index.php/ib/article/view/27

Issue

Section

Artificial Intelligence (AI) in Education

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