Learning Analytics for Teachers (FFHS)

Learning Analytics for Teachers (FFHS)

The course aims to provide teachers with information and skills on how they can use Learning Analytics to improve support for their current or next learner groups. They will also get familiar with basic methods, including their analytics literacy, and align their work with ethics and privacy standards.

Learning Analytics can provide teachers additional insights into their students' ways of learning (e.g., strengths or weaknesses). Existing systems showed that when teachers transform these insights into actions, it can improve student outcomes or their learning experience. Some teachers are aware of Learning Analytics, but they often do not know how to transform this information into actions and how this can contribute to students outcomes and their professional development. This gap limits the current usage of these systems. And that's why we designed this MOOC!

We aim to provide teachers with information and skills on how their instruction is mapped throughout the whole Learning Analytics cycle and how they can use Learning Analytics to improve support for their current or next learner groups. The teachers will also get familiar with basic methods, including their analytics literacy, and align their work with ethics and privacy standards. Our goal is that teachers will gain knowledge that they will apply in their day-to-day work. The examples will cover mostly Higher Education with online elements; however, the learned principles can be applied by teachers across all learning contexts.

Course Content

  • Week 1: Introduction to Learning Analytics
  • Week 2: Data and Ethics
  • Week 3: Basic Methods
  • Week 4: Frameworks and Evaluation
  • Week 5: Advanced methods and Future in Learning Analytics
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Healthcare Data Literacy (Coursera) Coursera
University of California, Davis

Healthcare Data Literacy (Coursera)

This course will help lay the foundation of your healthcare data journey and provide you with knowledge and skills necessary to work in the healthcare industry as a data scientist. Healthcare is unique because it is associated with continually evolving and complex processes associated with health management and medical care.

Jun 22nd 2026
4 Weeks
Learn to teach with automatic assessments (JuezLTI) Other Providers
C.I.F.P. Carlos III,Karlstad University,Bursa Il Milli Egitim Mudurlugu,INESTEC,Entornos de Formación - EDF

Learn to teach with automatic assessments (JuezLTI)

Come and join teachers around the world and learn how to teach with automatic programming assessments using JuezLTI. JuezLTI is a tool to support computer science teaching, and allows the automatic assessment of programming exercises, databases and markup languages. In this course you will learn how to setup the LTI tool in your LMS, how to create exercises or import them from Authorkit and discuss with other teachers around the world how to integrate it in your teaching. The course is aimed at teachers programming teachers in vocational schools or higher education institutions.

Nov 14th 2022
4 Weeks
Decoding AI: A Deep Dive into AI Models and Predictions (Coursera) Coursera
University of Michigan

Decoding AI: A Deep Dive into AI Models and Predictions (Coursera)

Decoding AI: A Deep Dive into AI Models and Predictions explores the significance of large datasets, demystifies generative artificial intelligence (AI), and challenges common media myths about AI. By defining key terms and exploring how systems “learn” from data, you will gain a baseline understanding of how AI works. Work to understand different critiques of AI narratives, learn to navigate conversations with precision, discern conflicts of interest, and appreciate the multidisciplinary expertise needed to shape AI's impact on society. This course provides you with the strategies and frameworks to engage in better conversation about the role of AI in your work and beyond.

Jun 15th 2026
4 Weeks
Cluster Analysis (edX) EdX
University of Texas at Arlington,UTArlingtonX

Cluster Analysis (edX)

Learn how to conduct a cluster analysis to discover important patterns in student behavior using the popular Weka data mining toolkit. In this course, you will learn the basics of cluster analysis, one of the most popular data mining methods for the discovery of patterns in learning data, and its application in learning analytics.

No sessions available
3 Weeks
Essentials of Data Literacy (edX) EdX
Davidson College,DavidsonX

Essentials of Data Literacy (edX)

Learn how to read, work with, and analyze data. Future-proof your career. In this course, you will practice analyzing, visualizing, and communicating with data, using real datasets and examples that are relevant to a variety of audiences and academic disciplines. Data is part of every field, but not everyone has had the opportunity to gain the skills necessary to find the data they need and use it in ways that add to their work.

Self Paced
Self-Paced
Digital Future Literacy - Fit für die digitale Zukunft (openHPI) OpenHPI
Hasso-Plattner-Institut

Digital Future Literacy - Fit für die digitale Zukunft (openHPI)

Im Zuge der Digitalisierung müssen sich viele heute im Erwerbsleben stehende Menschen beruflich weiterqualifizieren. Zunehmend gebraucht werden nicht nur technologische Fähigkeiten wie Umgang mit Software oder Programmierung, sondern die neuen digitalen Geschäfts- und Arbeitsprozesse erfordern verstärkt digitale und nicht-digitale Schlüsselfähigkeiten (digital future literacy). Dazu zählen u.a. Data Literacy, Kollaboration, digitales Lernen, Problemlösungsfähigkeit, Vorausschau und unternehmerisches Denken.

Feb 23rd 2022
4 Weeks
Getting Started with Teaching Data Science in Schools (FutureLearn) FutureLearn
University of Glasgow

Getting Started with Teaching Data Science in Schools (FutureLearn)

Learn the basics of data science and how to introduce data science in the classroom. Learn practical ways to teach data science. Understanding how to use and interpret data will be essential for the next generation, but many schools and teachers aren’t equipped to teach basic data science to students. This course will help you introduce data science in the classroom so that your students are prepared for the future.

Sep 13th 2021
3 Weeks
Digital Literacy (Coursera) Coursera
Higher School of Economics - HSE University

Digital Literacy (Coursera)

The online course in Digital Literacy offered by HSE University was designed to help the students acquire various competencies that will enable them to safely and effectively use digital technologies and Internet resources in an academic and professional context. The Digital Literacy course is a step-by-step guide covering various topics that will help you find your way around in the digital environment. We did our best to include the most essential insights and skills that can guarantee your success in the world of information technology.

Jul 18th 2022
5-12 Weeks
How Science Turns Data Into Knowledge (Coursera) Coursera
University of Michigan

How Science Turns Data Into Knowledge (Coursera)

How Science Turns Data Into Knowledge teaches you how to evaluate scientific claims critically, address experimental limitations, and recognize the roles of trust and responsibility within research. During the course, you’ll explore the nuances of significance testing, scientific research methods, and science communication, emphasizing the importance of carefully interpreting statistical results.

Jun 15th 2026
4 Weeks