Education Resources Award

The Academic Labs educational resource reward model aims to encourage teachers and content developers to upload high-quality educational resources on the platform while fostering a sense of community and healthy competition among educators. By rewarding teachers based on various factors, the platform ensures a fair and balanced distribution of tokens, thereby incentivizing and maintaining a thriving educational ecosystem. The reward system will consider various factors to ensure a fair and balanced distribution of tokens.

l Basic rewards: Every time teachers and content developers upload educational resources, they will receive the basic token reward ACAD Token. This base reward can be set by the platform, depending on the overall value and demand of the resource. Base rewards are designed to recognize the time and effort put into creating and uploading content. They can also obtain special NFTs by contributing high-quality educational resources to the platform. These NFTs can provide teachers with additional token rewards, enhanced visibility, or access to exclusive features.

l Quality bonus: To encourage the creation of high-quality educational resources, teachers can obtain bonus tokens according to the quality of the content. Quality can be assessed by combining user ratings, engagement metrics, and platform evaluations. Higher quality resources will receive higher bonus rewards.

l Popularity Rewards: Teachers and content developers will also receive reward tokens based on the popularity of the resource. Popularity can be measured by the number of views, downloads, or user engagement and feedback with the content. This motivates them to create resources that meet the needs and interests of the community.

l Subject Scarcity Bonuses: Teachers and content developers may receive scarcity bonuses if they upload resources in subject areas that are currently underrepresented on the platform. This bonus is designed to encourage content diversity and ensure a wide range of topics are covered.

l Recommendation Rewards: Teachers and content developers can also get tokens by recommending other educators join the platform and contribute resources. They will receive a percentage of the tokens earned by their referrals over a predetermined period to encourage the growth of the teaching community.

l Staking Rewards: Teachers and content developers can choose to stake their earned tokens on the platform for additional rewards. This staking mechanism encourages long-term commitment to the platform and aligns the interests of educators with the growth of the community.

l Performance-based rewards: The platform regularly hosts contests or challenges for teachers to submit their best resources. Winners of these competitions will receive additional token rewards and recognition within the community, further incentivizing teachers to produce high-quality content.

l User Feedback Rewards: Teachers who consistently receive positive user feedback and high ratings can receive additional token rewards in recognition of their valuable contributions to the community.