Imagine Future Learning: Leveraging AI
Focus on harnessing the power of AI to revolutionize personalized and adaptive learning in education. The aim is to create AI-driven solutions that enhance student learning experiences, support teachers in their roles, and promote equitable access to education.
AI has the potential to radically transform education by offering customized learning pathways, real-time feedback, and personalized analytics to help students excel. As technology enables the design of more responsive and adaptable learning systems, students can receive individualized attention tailored to their unique needs, abilities, and learning styles.
AI-powered tools can assist teachers by alleviating routine administrative tasks, allowing them to focus on more impactful teaching methods. Develop tools that act as AI teaching assistants, helping educators manage student performance data, recommend personalized learning activities, and streamline grading.
A critical focus is ensuring the ethical and responsible use of AI in classrooms. Participants are encouraged to consider the risks, such as bias or privacy issues, and propose solutions that are transparent, fair, and aligned with ethical principles in education.
By fostering collaboration between educators, technologists, and innovators, the hackathon seeks to shape the future of education through AI, making learning more engaging, accessible, and effective for everyone involved.
Questions?
lapp.tudor@clasaviitorului.md
Who can join?
09 - 10 NOV 2024
Register by 11 NOVOnsite
Ion Creangă str. 1, Chișinău - Moldova (the Republic of)
Emerging Technologies for Education
Challenge and goals
Focus for Participants:
- Clear AI Solutions: Create AI tools for personalised learning, real-time feedback, and teacher support that address key educational challenges.
- Interdisciplinary Approach: Combine technologies and methods to develop collaborative solutions that transform teaching and learning.
- Ethical AI: Ensure fairness, transparency, and privacy in AI designs, addressing bias and inclusivity.
- Feasibility: Propose realistic, implementable AI solutions with a clear development plan.
- Sustainability: Build scalable solutions applicable across educational contexts.
- Originality: Ensure innovation and introduce disruptive tools that challenge existing norms.
Purpose:
- Enhance learning and support teachers with AI-driven solutions.
- Ensure ethical, fair, and transparent AI use in education.
Expected Outcomes:
- AI Prototypes: Functional AI tools for personalised learning, feedback, or teacher assistance.
- Interdisciplinary Solutions: Integrate multiple technologies and methods.
- Ethical Designs: Focus on fairness, privacy, and accessibility.
Implications Beyond the Hackathon:
- Projects could be implemented or developed into products.
- Contribute to shaping ethical AI standards in education.
Expectations and requirements for the solutions and participants
Teams are expected to deliver functional AI prototypes that address personalised learning, real-time feedback, or teacher support. Solutions must demonstrate practical value, aligning with current trends in digital education. Prototypes should be innovative and incorporate ethical AI principles, ensuring fairness, privacy, and inclusivity.
Teams should also provide a clear implementation plan, including scalability, feasibility, and potential challenges. Projects must be interdisciplinary, combining diverse technologies or educational methods.
Consideration of sustainability and the potential for future development is essential for successful outcomes.
Available Support
Schedule
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12:00 - 9 Nov 2024
Registration
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12:30
Welcome Session
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12:50
Challenge Presentation
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13:05
Ideation & Team formation workshop
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13:40 - 14:30
Lunch
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14:30 - 16:00
First Mentoring Workshops
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16:00 - 16:30
Coffee break & Networking
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16:30 - 18:00
Second Mentoring Workshops
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18:00 - 19:00
Dinner
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19:00
Teamwork Session
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22.00
Networking
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08:00 10 Nov 2024
Welcome Back Session
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08:30 - 09:00
Breakfast
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09:00 - 10:00
Mentoring & Fine-tuning Workshop
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11:00
Submitting Solutions
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11:10
Solution Presentations
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13:00
Evaluation & Feedback Session
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13:40
Awarding Ceremony
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14:00
Wrap-up & Afterevent
Mentors
