This award honours educators using AI to enrich their curriculum, create more inclusive and ethical learning environments, and improve teaching quality and effectiveness. Submissions for this award should demonstrate innovative and impactful use cases of AI that enhance learning outcomes and/or facilitate teaching.

Some inspiration

Some inspiration

Use of AI for adaptive/personalised learning in a classroom/school context
Incorporation of AI-assisted learning assistants or tutors
Integration of AI-based feedback  tools in a language or literacy course
Integration of AI-based  assessment tools in a history or geography course

Evaluation criteria

In evaluating the submissions, the jury considers the following criteria. Feel free to underline in your application those different factors if they apply to your submission.

Your submission doesn’t need to cover every single aspect, but the more the better.

  • How do you explain the novelty and creativity of your AI solution or practice in the field of K-12 education, and what pedagogical theory and evidence support it? 
  • How do you demonstrate that your AI solution or practice addresses a specific and relevant problem or opportunity in K-12 education, and how does it contribute to the advancement of AI in education?
  • How do you provide robust and reliable evidence of the impact of your AI solution or practice on the learning outcomes and processes of K-12 learners, such as academic achievement, engagement, motivation, or collaboration?
  • What are the challenges or limitations of your AI solution or practice in the context of K-12 education, and how do you address or mitigate them?
  • How does your AI solution or practice improve the access and participation of learners from diverse backgrounds and abilities in K-12 education?
  • How does your AI solution or practice respect and celebrate the identities, values, and perspectives of learners from diverse backgrounds and abilities in K-12 education?
  • How does your AI solution or practice fit and adapt to different contexts and needs of learners and situations in K-12 education?
  • How does the project ensure its own quality and improvement?
  • How does the project plan, implement, and document its evaluation process?
  • How does the project use formative and summative evaluation methods and tools to collect and analyse data?
  • How does the project use the evaluation results to inform decision making, feedback, and improvement?
  • How does the project consider and address the ethical and privacy issues of using AI in education?
  • How does the project identify and address the potential ethical risks and challenges of using AI in education, such as biases and the lack of transparency, accountability, or fairness?
  • How does the project ensure informed consent, data security, and data minimisation of educators and students?
  • How does the project follow the relevant laws, policies, and guidelines for ethical and responsible AI use in education?
  • How does your AI solution or practice support learning experiences that integrate both AI and human elements in K-12 education? What are the benefits and challenges of this integration?
  • How do you involve human teachers, peers, and parents in facilitating, complementing, or evaluating your AI-driven interventions? How do you ensure effective collaboration and communication between them and your AI solution or practice?
  • How do you promote the development of digital and AI literacy among your learners? What are the key competencies and skills that they need to acquire and apply in the context of AI use in K-12 education?
  • How do you foster social and emotional skills among your learners in relation to AI use in K-12 education? How do you address any ethical, social, or emotional issues that may arise from the use of AI in K-12 education?
  • What AI technologies are you using in your solution or practice, and how do you describe and evaluate them?
  • How do you ensure that the AI technologies are reliable, secure, and user-friendly for K-12 education?
  • How do you select the AI technologies that are suitable and adaptable for your learning context and purpose?
  • How do you manage the changes or updates of the AI technologies over time, and how do you communicate them to your learners?
  • How do you evaluate your own technological skills and knowledge to lead AI integration in your classroom or school?
  • What are some examples of how you have invested in your professional development regarding the use of AI in K-12 education?
  • How do you show your willingness and motivation to learn and improve your AI skills and knowledge?
  • How do you serve as a leader and mentor for your colleagues in exploring, understanding, and applying AI in K-12 education?

Before you start

We are delighted that you want to share your project with us! Here are some tips to help you with the application process.

Some information has to be entered directly on this website. You also need to upload your detailed project description (mandatory) and any additional information (optional). You can also upload your organisation’s logo (optional).

Please make sure that you prepare all the documents carefully and upload them all at once.

In order to cater to an international jury, we ask participants to upload the Project Description in English and recommend the use of AI tools to translate if necessary. We allow for non-English supporting materials

Deliver as much concrete evidence as possible to demonstrate how your project meets the judging criteria.

You can use data, testimonials, reports, media coverage or other sources to support your claims by uploading them in the section Supporting Material.

We look forward to receiving your entry! Good luck!

Copyright © 2024 AI for Education Awards 2024

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