Point Earning Mechanism

We called it “Dynamic Point Earning System” that the point earning changes vary based on the difficulty, time spent, and performance in each game. This encourages users to play longer and perform better for higher rewards. Key factors to include:

  • Game Complexity: More complex games (like Monopoly or Physics Angry Birds) will have higher earning potential.

  • Game Difficulty Levels: We set difficulty levels (easy, medium, hard) for each game. Higher difficulty levels yield more points.

  • Time Played: Longer play sessions result in higher point earnings. However, cap daily earnings to prevent overexploitation and inflation of points. Like Binance Moonbix, You can only play 6 games with a 15 minute break.

  • Achievements: Special in-game achievements or reaching milestones (e.g., solving 100 math problems in Math Tetris or clearing 10 levels in Periodic Table Doodle Jump) trigger bonus EDG token points.

  • Leaderboard Performance: Weekly or monthly leaderboards can rank top players based on game performance, with top performers earning substantial EDG point rewards.

  • Daily Streak: If the users plays every day and catch the streak, these users will earn more token.

Play-to-Earn Point Calculation Formula

Here’s a formula to calculate how many EDG points a user can earn based on their gameplay

· Earning: f

· Base Reward: x

· Game Complexity Factor: y

· Difficulty Level Factor: z

· Performance Score: k

· Playtime Factor: n

· Day Streak: a

· Multiplier: m

· NFE Holder: e

((Playtime Factor x Base Reward × Game Complexity Factor × Difficulty Level Factor x Day Streak) /Performance Score ​)×Multiplier)x NFE Holder

  • Base Reward: A standard amount of EDG tokens for each game. For example; Binance Moonbix can allow you to earn maximum 250 in a one game. Our maximum game earning is 250 for each game.

  • Game Complexity Factor: Assign values to each game (e.g., Chess = 1.5, Math Tetris = 1.2, Physics Angry Birds = 1.8). At this point we are going to categorize the games as a game complexity multiplier. For exapmle the Trivio will have 1.2x multiplier.

  • Difficulty Level Factor: For Easy = 1.2x, Medium = 1.5x, Hard = 2x. At this point we are going categorize games a difficulty multiplier.

  • Performance Score: A metric for evaluating in-game performance (based on correct answers, levels cleared, and speed).

  • Playtime Factor: Adjusts token earnings based on playtime to prevent farming (e.g., reducing rewards for overly long sessions without progressing).

  • Multiplier: Special events, achievements, or referral-based bonuses that temporarily boost rewards.

  • NFE Holder: Holders of NFE tokens will benefit from a multiplier-based reward system, where the number of tokens held determines the bonus multiplier applied to their earnings. The breakdown is as follows:

· Holders with 1,000 to 9,999 NFE tokens will receive a 1.25x multiplier on their token earnings.

· Holders with 10,000 to 99,999 NFE tokens will receive a 1.50x multiplier on their token earnings.

· Holders with 100,000 or more NFE tokens will receive a 1.99x multiplier, significantly boosting their earning potential.

This tiered multiplier system rewards larger NFE holders with increased earnings, encouraging greater participation and long-term holding of NFE tokens.

In-Game Earning Synchronization

Each game offer in-game rewards that sync with points earnings, allowing users to:

  • Earn in-game currency or power-ups by achieving educational goals, which can then be traded for EDG tokens.

  • Spend EDG tokens to unlock premium features like special avatars, advanced game modes, or unique educational content on Edu3Labs NFE Marketplace or Edu3Labs ecosystem.

Reward Tiers Based on Gameplay Metrics

Categorize users into tiers based on their gameplay metrics. To earn tiers, you must spend time on the game. Rewards will be added on the last time. For example;

· to get bronze tier you must spend 96 hours in the game; 4 days in a row

· to get silver tier you must spend 336 hours in the game; 14 days in a row

· to get gold tier you must spend 720 hours in the game; 28 days in a row

· after the gold tier to get more point, every day you should follow the streak; your point will increase in 0.02% in an hour.

Each tier has different token earning rates.

Tiers Rate:

· Bronze Tier: Casual players who participate occasionally, with base earning potential.

· Silver Tier: More frequent players who consistently achieve milestones, earning 5% more EDG tokens.

· Gold Tier: Top players with high performance and frequent engagement, earning up to 12% more EDG tokens.

In addition, the tiers are reset monthly/weekly/3 monthly or other time preferred, predetermined at the initiative of the Edu3Games team, and a new sprint is started.

Referral System with Token Rewards

Create a referral system to encourage users to invite friends:

  • Referring a friend earns both the inviter and the invitee bonus tokens upon sign-up and after completing their first game.

  • You could earn 10% of all points earned by players you have invited, capped at 50.000 points.

  • Invited friends will receive a gift of 1000 points.

Challenges & Competitions(if possible)

  • Daily/Weekly Challenges: Offer daily and weekly educational challenges (e.g., solve 50 math problems in Math Tetris, or clear 3 levels in Geography Pac-Man) where completing the challenge yields EDG tokens.

Burn Mechanism to Stabilize Token Economy

To ensure a stable token economy, we implement token burning mechanisms:

  • Users need to spend EDG tokens for game boosts (e.g., extra lives in Flappy Bird, unlocking hints in Bejeweled Spelling etc.).

  • Token usage for cosmetic upgrades (avatars, in-game items) will add another layer to the economy. For example; user can change their pac-man color or can change as a image. They can put their avatar as a pacman.

Winning Difficulty

While the formula for earning points is fixed, the difficulty and corresponding rewards may vary over specific periods, such as weeks or months, based on market dynamics. For instance, a player who earns 1000 points in a given month might receive 100 tokens, but in the following month, that same 1000 points could yield 90 tokens or 110 tokens, depending on factors like supply, demand, and token price. This flexible approach allows the project owner to adapt to market conditions and manage the token economy more effectively.

This flexibility provides several key advantages:

  • Smarter Token Management: The ability to adjust rewards based on the current market dynamics allows for more rational and strategic decisions around the token supply.

  • Incentive Adjustments: During favorable market conditions, the project owner can increase incentives for users to play and earn more, driving platform engagement. Simultaneously, by tightening the distribution during challenging periods, the project can manage token supply and mitigate risks related to inflation or oversupply.

  • Revenue Generation Opportunities: This system also enables the integration of revenue-generation mechanisms, such as advertisements. For example, during certain periods, users could be incentivized to play more through special tasks or challenges in the "Taskler" section, where advertising can generate additional income. This flexibility helps maintain a balanced economy and ensures stability even during difficult times.

We provide our users with a play-to-Earn mechanism while at the same time adjusting the token economy and earning models dynamically and controllably to create long-term value and synergies through a unique token economy model.

Withdrawal Mechanism

The withdrawal process for accumulated points will be determined based on the prevailing token price at the time of the withdrawal. However, as a strategic approach, it may be beneficial not to disclose the exact token exchange rate for points upfront. Instead, a more transparent and logical approach would involve calculating and distributing tokens based on the users' total accumulated points at the time of withdrawal, ensuring that users are rewarded fairly without over-anticipating the token conversion.

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