New Learning Environments for Disruptive Technologies
Join the Data Revolution
The data economy has gained significant relevance across all sectors. With the growth of digital information, data has become an essential resource for businesses, governments, and organizations. This new economic model is based on creating value through data collection, analysis, and exchange, enabling more informed decisions, process optimization, and the creation of personalized products and services. Technologies like artificial intelligence and machine learning have accelerated this shift, positioning data as one of the most valuable assets in the digital age.
Do you want to be part of this change and transform learning?
Join our challenge, where we combine advanced technology with education to develop innovative methodologies. The goal is to transform teaching and learning by using tools such as artificial intelligence and augmented reality. Participants will develop applications, platforms, or systems to improve learning and knowledge assessment, ensuring secure and scalable data exchange in real educational environments.
The hackathon will be held alongside the DOK Summit, offering participants a unique opportunity to showcase their innovative projects. The winning team will have the chance to present their solution on the main stage. Don’t miss this opportunity to revolutionize education and showcase your talent!
The onsite address for the physical location of this blended event is: Euskalduna Conference Center, Bilbao
Questions?
academy@baidata.euWho can join?
11 - 12 NOV 2024
Register by 08 NOVBlended
Bilbao - Spain
Emerging Technologies for Education
Challenge and goals
- Enhanced Learning: Develop AI-powered tools that improve the learning experience for users studying data sharing systems. This may include personalised learning paths, intelligent tutoring systems, adaptive learning platforms, and more.
- Effective Knowledge Evaluation: Create innovative and effective methods to evaluate students' knowledge and skills in the field of data sharing, utilising AI to provide real-time feedback and assessment.
- Secure Data Sharing: Ensure that the developed solutions incorporate robust security measures to protect data during the sharing processes. This includes encryption, access controls, and secure protocols.
- Practical Applications: Solutions should be applicable in real educational settings, demonstrating how AI can be integrated into existing or new learning environments to benefit both educators and students.
- Collaboration and Innovation: Foster collaboration among participants from diverse backgrounds to encourage diverse innovative solutions.
Expectations and requirements for the solutions and participants
- Integration of AI: Solutions must incorporate artificial intelligence to enhance learning and assessment.
- Security Measures: Solutions must include features that ensure secure data sharing, such as encryption and access control mechanisms.
- User-Centred Design: Solutions should be designed with the end-user in mind, providing a seamless and engaging learning experience.
- Scalability: Solutions should be scalable to accommodate various educational settings, from small classrooms to large online courses.
- Documentation: Participants must provide comprehensive documentation of their solutions, including a detailed description of the technology used, implementation steps, and usage guides.
- Presentation: Teams must present their solutions demonstrating their functionality.