The AI Maturity in Education Scan (AIMES)
Artificial Intelligence (AI) is rapidly and dramatically changing the education landscape. This is why the UvA and VU Amsterdam have joined forces to develop the AI Maturity in Education Scan (AIMES). This scan contributes to increasing AI Literacy of lecturers, programme directors and faculty administrators.
Better understanding of Artificial Intelligence (AI) in education
AI offers opportunities to improve teaching, learning, research and administrative processes. A good reason to rethink educational goals, design and implementation. But the application of AI in education also raises questions about privacy and ethics. Harnessing the potential of AI in education while mitigating risks requires a holistic approach. AIMES helps with this. The validated scan offers respondents instant insight into the extent of effective, efficient and responsible applications of AI in their education.
Quick insight and feedback via AIMES
The scan consists of a short questionnaire that offers participants insight into their maturity level when it comes to AI in education. After completing it, participants receive feedback on where they stand. In addition, participants also receive immediate feedback and tips for their own educational context. Thus, participants gain more insight into the application possibilities of AI in education and become aware of how to deal with privacy and ethical issues. When considering feedback and tips, consider, for example, teaching tips, workshops, events or components of formal learning programmes such as the BKO, STQ and Educational Leadership from UvA Teaching & Learning Centres (TLC).
Structure and application possibilities
| AIMES consists of three short surveys, each targeting a specific group of respondents: lecturers, programme directors and faculty board members. Completion takes a maximum of five minutes.
The scan helps with self-evaluation. For example, within the context of professional development (e.g. the BKO or STQ). In addition, the data obtained through AIMES provide insight into respondents’ experience when it comes to AI in education. This data can be valuable for researchers, policy officers and members of AI in Education expert groups, among others. For example, consider honing policies, guidelines or knowledge sessions to strengthen understanding of artificial intelligence (AI Literacy) in education. |
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AIMES Roadmap
AIMES is a joint project of the UvA and VU Amsterdam. AIMES is being developed using the Delphi method, in which experts are consulted for feedback. This is done using expert panels. By the end of 2024, AIMES will be made available as an Open Educational Resource so that Higher Education Institutions worldwide (tailored to their own context) can use it.
• Setting up expert panels by the end of January 2024
• Q1 2024 first expert review round, followed by pilots
• Q2 2024 second expert review round
• Q3 2024 AIMES available as an Open Educational Resource
• Q4 2024 Article on creation, validation and advice on embedding AIMES in practice
Basic principle: trustworthy AI
AIMES is based on the seven requirements for trustworthy AI (EU, 2019):
- Human control and human surveillance
- Technical robustness and safety
- Privacy and data governance
- Transparency
- Diversity
- Non-discrimination and justice
- Social and environmental welfare and Accountability.
In addition, AIMES is aligned where possible with the EU AI ACT.
Want to know more about AIMES or AI in education?
| Want to know more about the AIMES project or AI in education? Contact Luuk Terbeek (l.terbeek3@uva.nl )
Would you like to be kept informed of developments within AIMES?
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