Ethical and effective practices for AI and data in education (Self-paced)

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Ethical and effective practices for AI and data in education (Self-paced)

Every day, “intelligent” machines are sorting your inbox, recommending music, vacuuming your floor, or teaching you Klingon – and schools are not exempt from their influence. The “intelligence” of these machines is mostly based on data. Can such machines also help us to support our students’ learning?

Last updated: 12.05.2025

Next upcoming session:

01.02.2026 - 05.03.2027

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Description

Join the course on EU Academy: academy.europa.eu/courses/ethical-and-effective-practices-for-ai-and-data-in-education

This course builds upon the success of the 2022 course “What Can You Do with Data in Your Classroom”. In this enhanced and updated version, we aim to empower educators with the knowledge and skills to effectively and ethically integrate data and AI tools into their teaching practices.

Participants will explore how data-driven approaches and AI tools can be used in education while enhancing the ability to critically evaluate these technologies. By the end of the course, educators will have the confidence to use data and AI responsibly to support student learning and improve assessment practices.

Learning objectives

Participants will:

Define and understand key concepts, including data literacy, big data, AI, and learning analytics.
Explore recent developments in AI and their implications for teaching and learning.
Evaluate the ethical considerations of using data and AI in education, focusing on critical data literacy.
Learn to use data to personalize learning and improve formative and summative assessments.

Develop practical strategies to integrate data and AI tools into their teaching in a meaningful and ethical way.

Methodology & assessment

This self-paced course is adapted from a version that ran from Monday, 17 February 2025, to Monday, 24 March 2025. Designed for flexibility, it lets you explore content and complete activities at your own pace—no deadlines, live sessions, or required meetings. While the original course included scheduled discussions and peer reviews, this version allows independent learning with the same materials and guidance. Forum discussions and Padlet contributions will not be moderated, fostering a fully self-directed experience. To support reflection, you'll be encouraged to assess your own work using the provided criteria.

Certification details

Upon successful completion of the course, a digital course certificate is awarded. The certificate shows the name of the learner and key course details such as the estimated learning hours, the learning objectives, and a link to the course homepage.

Additional information

Language:

English
Target audience ISCED:

Primary education (ISCED 1)

Lower secondary education (ISCED 2)

Upper secondary education (ISCED 3)
Target audience type:

Teacher

Student Teacher

Head Teacher / Principal
Learning time:

15-20 hours