Advancing Educational Leadership With Data Mining

Project started!

This is a paid opportunity. In order to be eligible to apply for this project, you need to be part of the Omdena community and have finished at least one AI Innovation Challenge.

You can find our upcoming AI Innovation Challenges at https://www.omdena.com/projects.

The problem

The core issue at hand is the suboptimal performance of the current AI search and recommendation engine used in an application/website designed for school principals. This system, while operational, is not delivering recommendations with the desired level of precision and relevance. The primary cause of this inefficiency is the limited and possibly outdated dataset that the engine currently utilizes. This inadequacy in the dataset leads to recommendations that may not fully align with the latest research, trends, or specific needs of school principals.

Impacts of the Problem:

Inefficiency in Decision-Making: School principals may encounter challenges in quickly accessing the most relevant and updated information, leading to delays or inefficiencies in decision-making processes.
Reduced Effectiveness in School Management: The lack of precise recommendations can hinder the ability of principals to implement the most effective strategies, potentially impacting school operations and educational quality.
Time and Resource Wastage: Principals might spend unnecessary time filtering through less pertinent recommendations, leading to a waste of valuable resources and time.
Potential Negative Impact on Educational Outcomes: Ultimately, the effectiveness of educational leadership and management could be compromised, affecting the overall learning environment and student outcomes.

In response to the problem, this project aims to significantly enhance the dataset used by the AI search and recommendation engine. By collecting and integrating a comprehensive corpus of open-source, peer-reviewed scholarly papers, the project seeks to enrich the existing dataset. This enrichment is expected to improve the accuracy and relevance of the recommendations provided to school principals. The ultimate goal is to transform the application/website into a more effective tool, aiding school principals in accessing the most pertinent and up-to-date information swiftly and efficiently, thereby positively impacting their decision-making and the overall quality of school management.

The project goals

This project aims to significantly enhance the decision-making process for school principals, ultimately contributing to the betterment of educational environments and outcomes.

Scope:

To gather a comprehensive corpus of open-source, peer-reviewed scholarly papers from targeted locations on the web.
By integrating this enriched dataset into the current system, the goal is to significantly improve the accuracy of the recommendations provided to school principals.
To create a scalable solution that can adapt to the evolving needs of the educational sector and can be updated with new data sources as they become available.
Ensuring that all collected data/documents adhere strictly to open-source guidelines, maintaining legal and ethical standards in data usage.

Why join? The uniqueness of Omdena Top Talent Projects

Top Talent opportunities come as a natural next step after participating in Omdena’s AI Innovation Challenges.

Everyone in the community is eligible to participate once they have shown the relevant skills based on the merit of involvement in past Omdena challenges and the community.

If you are looking for the next challenge after participating in one or more Omdena AI Innovation Challenges, then we believe you have made the right choice! With a healthy, pressured environment, you will be pushed to contribute, learn and grow even more.