Higher Education Category
Entry ID
1007
Participant Type
Individual
Expected Stream
Stream 3: Identifying an educational problem, presenting a prototype and providing a comprehensive solution.

Section A: Project Information

Project Title:
Blue White Digitalism
Project Description (maximum 300 words):

Subject: Regarding Late Submission - Adaptive Learning AI Project for the International Competition on AI in Education 2025
Dear Organizing Committee,
I am writing on behalf of our team regarding our submission to the International Competition on Artificial Intelligence in Education 2025, hosted by the Education University of Hong Kong and the Artificial Intelligence Research and Education Alliance.
First and foremost, I would like to sincerely apologize for the delay in our submission. Due to unforeseen technical challenges in finalizing our prototype and comprehensive testing of our adaptive learning solution, we were unable to meet the original March 31st deadline. We deeply regret any inconvenience this may have caused your evaluation team.
Our project focuses on personalized and adaptive learning using AI, directly aligned with Topic 1 of the competition's theme. We have developed an innovative solution that analyzes individual learning patterns and adapts educational content in real-time to meet the unique needs of each student. Our approach utilizes machine learning algorithms to identify knowledge gaps and learning preferences, creating truly personalized educational pathways.
We are participating in Track 3, as we have identified a critical educational problem, developed a functional prototype, and formulated a comprehensive implementation strategy. Our solution addresses significant challenges in traditional one-size-fits-all educational approaches and offers substantial benefits for diverse learning environments.
If it is still possible to consider our late submission, we would be extremely grateful. Our team is passionate about advancing educational technology and would value the opportunity to present our work for evaluation. We understand if this is not possible due to the competition guidelines, and we accept full responsibility for missing the deadline.
Please find attached our submission materials, including our presentation deck and demonstration video. We are available to provide any additional information or clarification you might require regarding our project.
Thank you for your consideration and for organizing this important platform to advance AI applications in education.
Sincerely, [NOUF ALDAWSARI] [ DR.nouf911@gmail.com ]


Section B: Participant Information

Personal Information (Individual)
Title First Name Last Name Organisation/Institution Faculty/Department/Unit Email Phone Number Current Study Programme Current Year of Study Contact Person / Team Leader
Ms. Nouf aldawsari Princess Nora bent AbdulRahman University education/ learning and teaching dr.nouf911@gmail.com +966557455596 Doctoral Programme Discussion
  • YES

Section C: Project Details

Please answer the questions from the perspectives below regarding your project.
1.Problem Identification and Relevance in Education (Maximum 300 words)

Our project focuses on personalized and adaptive learning using AI, directly aligned with Topic 1 of the competition's theme. We have developed an innovative solution that analyzes individual learning patterns and adapts educational content in real-time to meet the unique needs of each student. Our approach utilizes machine learning algorithms to identify knowledge gaps and learning preferences, creating truly personalized educational pathways.

2a. Feasibility and Functionality (for Streams 1&2 only) (Maximum 300 words)

no

2b. Technical Implementation and Performance (for Stream 3&4 only) (Maximum 300 words)

We are participating in Track 3, as we have identified a critical educational problem, developed a functional prototype, and formulated a comprehensive implementation strategy. Our solution addresses significant challenges in traditional one-size-fits-all educational approaches and offers substantial benefits for diverse learning environments

3. Innovation and Creativity (Maximum 300 words)

-

4. Scalability and Sustainability (Maximum 300 words)

Competes with educational platforms globally، It is used in all universities and schools.

5. Social Impact and Responsibility (Maximum 300 words)

Competes with educational platforms globally.

Do you have additional materials to upload?
No
PIC
Personal Information Collection Statement (PICS):
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2. Please note that it is obligatory to provide the personal data required.
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5. The University’s Privacy Policy Statement can be access at https://www.eduhk.hk/en/privacy-policy.
Agreement
  • I have read and agree to the competition rules and privacy policy.