Ethical and effective practices for AI and data in education

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Ethical and effective practices for AI and data in education

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: 02.04.2025

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

The course is offered as an asynchronous course with flexibility in regard to when and where participants follow the course content and join the course activities. Modules open each week and remain open for the duration of the course, with a final deadline in place for the submission of a course product. Participants are required to actively contribute to the course activities by sharing their work and submitting a course product. This product is submitted, and peer assessed by three peers in the final module of the course.

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