The Educator Empowerment category of the AI for Education Awards 2024 recognises projects and programs that aim to empower educators with AI literacy and competency. Entries for this award should demonstrate how they support educators and school leaders in adopting AI solutions for improving teaching methods and/or administrative processes.
Some inspiration
Private outreach initiatives to promote AI in education
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 does the project support the ongoing learning and development of educators and school leaders in using AI?
- How does the project assess the prior knowledge, barriers, and confidence of educators in using AI?
- How does the project provide differentiated and personalised learning opportunities for educators based on their needs and goals?
- How does the project model the effective use of AI in professional development?
- How does the project engage with various stakeholders and build a learning community of educators?
- How does the project identify and involve relevant stakeholders in the design, implementation, and evaluation of the project?
- How does the project foster communication, collaboration, and co-creation among educators and other stakeholders?
- How does the project measure the quality and impact of the collaboration and partnership?
- How does the project align with and enhance the current educational context and practice?
- How does the project align with the curriculum, standards, and policies of the educational system?
- How does the project support the pedagogical, instructional, and assessment strategies of educators and school leaders?
- How does the project measure the impact of the project on the knowledge, skills, and competencies of students, as well as their engagement, motivation, and outcomes?
- 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 bias, transparency, accountability, and 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 the project foster creativity and critical thinking among educators and school leaders in relation to AI in education?
- How does the project enable educators and school leaders to generate new ideas, solutions, or practices using AI in education?
- How does the project help educators and school leaders to evaluate the strengths, limitations, and implications of AI in education?
- How does the project ensure reaching all educators and provide adequate technical support for using AI in education?
- How does the project overcome the barriers of cost, infrastructure, availability, and usability of AI in education for educators?
- What kind of technical support is available, how often, and through what channels?
- How does technical support empower educators to use AI in education independently and confidently?
- How does the project consider diversity within education and aims for inclusive and equitable AI integration?
- How does the project address the needs and preferences of different groups of students, such as those with disabilities, linguistic minorities, or underrepresented groups?
- How does the project ensure that the AI tools are accessible, adaptable, and appropriate for all students, regardless of their background, language, or skill level?
- How does the project identify and mitigate the potential sources and effects of biases in AI systems, such as those related to biased training datasets, algorithms, biased system prompts or outcomes?
- How can the project be applied on a large scale and sustained over time?
- How does the project demonstrate the feasibility and viability of applying the AI initiative to different contexts, settings, or levels of education?
- What are the resources, partnerships, and strategies required for the implementation and maintenance of the AI initiative over time?
- How does the project monitor and evaluate the impact and outcomes of the AI initiative over time?
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!
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