Resources on the use of emerging technologies in adult education

The article presents AI as an emerging pedagogical support tool, offering practical ideas for educators and stressing ethics and teacher agency.

Article on using AI creatively in education, developed within the project Augmented Intelligence for Pedagogically Sustained Training and Education (augMENTOR).

An article about a study, a memory experiment, and a survey with around 500 people to see how teaching formats differed. Do AI avatars teach as well as humans? The results might surprise you!

An article which examines the role of Large Language Models (LLMs) in education and their potential as learning tools, despite their inherent risks and limitations. The authors propose seven approaches for utilising AI in classrooms: AI-tutor, AI-coach, AI-mentor, AI-teammate, AI-tool, AI-simulator, and AI-student, each with distinct pedagogical benefits and risks.

To support educators in using ChatGPT, OpenAi has provided resources and links to introductory materials from leading education organisations on how to teach with and about AI. The article answers frequently asked questions from educators on how to utilise ChatGPT for educational purposes.

Looking for ways to bring generative AI into your classroom? Whether you’re a curious newcomer or looking to deepen existing practices, we’ve designed a library of guides, case studies, and strategies to offer a path forward. Here you’ll find ways to adapt assignments, optimize prompts, enhance assessments, and much more.

Adult learning providers and educators are no longer expected merely to respond to digitalisation, but to actively shape it – to help learners navigate AI responsibly and critically. Consequently, several key questions emerge: How do AI technologies influence teaching and learning? And what competences do educators as well as users need?

This comprehensive guide aims to give education providers, teachers and learners basic information about the functioning of AI, its capabilities, limitations, ethical challenges, benefits, misuse, AI pedagogy, and AI literacy.

The OECD Digital Education Outlook 2026 analyses emerging research that suggests GenAI can support learning when guided by clear teaching principles. However, if designed or used without pedagogical guidance, outsourcing tasks to GenAI simply enhances performance with no real learning gains. The Outlook highlights the benefits of GenAI as a tutor, partner and assistant, and synthesises experts’ evidence and insights on the design criteria that make it work for education.

Dora project publication introduces key recommendations to improve digital inclusion among adults facing difficulties with digital tools.

Dora project examined challenges and opportunities of digital technology in basic education in Switzerland. The project aimed to provide concrete solutions to support basic skills training actions in an effective way around the issue of digital technology, in particular with regard to adults with little or no education and in vulnerable situations.

What are the opportunities and risks of AI in adult education? Authors demonstrate the successful use of AI tools, explain technical functions, show course concepts for building AI literacy and reflect on social implications.

This study aims to critically analyze the scientific production related to the use of emerging technologies in the educational field, focusing on their impact on the teaching–learning process. A systematic review of the scientific literature was carried out, analyzing a total of 1567 articles from 2000 to 2024.

This curated series of 25 global case studies showcases how AI is reshaping the educational landscape—from primary schools in South Africa to prestigious universities like MIT and Stanford.

These ethical guidelines on AI and data usage in teaching and learning are designed to help educators understand the potential that the applications of AI and data usage can have in education, and to raise awareness of the possible risks so that they can engage positively, critically, and ethically with AI systems and exploit their full potential.

These frameworks aim to guide countries in supporting students and teachers to understand the potential as well as risks of AI in order to engage with it in a safe, ethical and responsible manner in education and beyond.

Report ‘AI in Education and Training’ provides insight into how AI in education is being researched at itec, an imec research group at KU Leuven. Its purpose is to illuminate the perspectives and efforts of our research group regarding the main subject of AI in education and training.

Report that explores the potential for artificial intelligence to benefit educators, students and teachers. Case studies show how AI can personalise learning experiences, streamline administrative tasks, and integrate into curricula.

Report providing data for policymakers, researchers, and the general public on the complex field of AI. Chapter 7 focuses on education.

Report outline findings from questions relating to generative AI included in our 2025 Annual Literacy Surveys (data from young people aged 13 to 18 and teachers from schools across the UK).

Repository of AI tools, collected in INFINITE project (AI in higher education).

This course is designed for youth and adult literacy educators seeking to enhance their knowledge, skills, and ability to apply digital competencies in literacy instruction. Participants will discover innovative and creative ways to integrate technologies into literacy education, build capacity to create engaging learning materials and environments using digital tools, and advance their professional development by exploring the latest in educational technology and its application for continuous learning.

The EU’s AI Act requires that AI systems have been carefully designed and that the risks they pose have been minimised. In Europe, AI systems are assessed based on their level of risk, and the regulation aims to ensure that AI systems are safe. This coures explains the effects of the AI Act for AI developers and implementers. In the course, you will receive practical information on how to meet the new requirements.

The training aims to highlight the potential of AI in education by combining academic insights with practical examples. What impact does AI have on education? Do we have to change our manner of instruction? What ethical aspects of AI-based tools do you have to keep in mind?

This course explores new emerging technologies that will affect our teaching and learning methods as teachers in terms of school curriculum and their integration within eTwinning projects. The course has concluded, but the content remains available for browsing.

The Digital4All project aims at strengthening universities’ readiness, faculty and staff’s skills in supporting all learners to equally participate in digital learning experiences. This course includes several modules on digital inclusion topics, for example Module 3 “Design and develop digital educational content and activities for digital inclusion” and Module 4 “AI usage in education and learning process”.

The DigiCulture project developed a sustainable, multilingual education program for adult learners with low digital skills in the creative industries across seven countries. One of it’s key outputs is a 13-module MOOC, which includes a module on augmented/virtual reality.

Developed by AI experts at Google, this course will help you bring AI into your practice. You’ll also gain a foundational understanding of AI — you’ll learn what it is, the opportunities and limitations of this technology, and how to use it responsibly.

The Elements of AI is a series of free online courses created by MinnaLearn and the University of Helsinki. Their aim is to encourage as broad a group of people as possible to learn what AI is, what can (and can’t) be done with AI, and how to start creating AI methods. The courses combine theory with practical exercises and can be completed at your own pace.

Introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods.

“Digital empowerment in the age of AI and other emerging technologies for adult educators” is an open-source, self-paced course for adult educators., teachers and trainers working in formal, non-formal and informal learning spaces. This course will help you build the digital skills and confidence needed to thrive in today’s educational landscape.

The Digital Learning Campus (DLC) is developed in cooperation with several education organisations in Germany. It is a state-wide hybrid campus in Schleswig-Holstein that connects business, science, civil society, and local communities. The DLC offers online, hybrid, and on-site courses across the region, with AI and other emerging technologies as one of its key thematic areas.

The video is a summary of the “AI in Education” keynote held on August 5, 2025 by Finnish digital education expert Matleena Laakso. Video is made by Google NotebookLM based on the keynote materials.

Series of Youtube videos on the topic AI for Education.

This comprehensive guide aims to give education providers, teachers and learners basic information about the functioning of AI, its capabilities, limitations, ethical challenges, benefits, misuse, AI pedagogy, and AI literacy.

The OECD Digital Education Outlook 2026 analyses emerging research that suggests GenAI can support learning when guided by clear teaching principles. However, if designed or used without pedagogical guidance, outsourcing tasks to GenAI simply enhances performance with no real learning gains. The Outlook highlights the benefits of GenAI as a tutor, partner and assistant, and synthesises experts’ evidence and insights on the design criteria that make it work for education.

Online test to analyse your digital profile. Digiprofile test helps learners to understand their own digital behaviour and the ways they can influence how the data collected about them is used.

These ethical guidelines on AI and data usage in teaching and learning are designed to help educators understand the potential that the applications of AI and data usage can have in education, and to raise awareness of the possible risks so that they can engage positively, critically, and ethically with AI systems and exploit their full potential.

These frameworks aim to guide countries in supporting students and teachers to understand the potential as well as risks of AI in order to engage with it in a safe, ethical and responsible manner in education and beyond.

UNESCO publication looks into the possibilities for creatively using GenAI in curriculum design, teaching, learning and research activities, as well as what GenAI is and how it works, presenting the diverse technologies and models available.
It also identifIes a range of controversial ethical and policy issues around both AI in general, and GenAI specifically.

The EU’s AI Act requires that AI systems have been carefully designed and that the risks they pose have been minimised. In Europe, AI systems are assessed based on their level of risk, and the regulation aims to ensure that AI systems are safe. This course explains the effects of the AI Act for AI developers and implementers. In the course, you will receive practical information on how to meet the new requirements.