Blockchain as a Learning Tool: Analyzing Transaction Speeds at Various Gas Limits in Computer Assembly Simulations

Abstract

The study explores an Ethereum blockchain-based data-sharing system for a computer assembly simulation game, emphasizing the relationship between gas limits and transaction speeds. The research integrates smart contracts for secure data storage of scores and player profiles. A significant challenge identified was the complexity of blockchain's variable transaction speeds for the average user. The research investigated how different gas limits affected transaction times, with experiments conducted across three networks. Results show that a gas limit of 200,000 to 300,000 resulted in transaction speeds of approximately 30 seconds. Increasing the gas limit to 400,000 to 500,000 reduced transaction times to 15-30 seconds, while a limit of 600,000 to 700,000 led to speeds below 15 seconds. These findings suggest a direct correlation between higher gas limits and quicker transaction validations. The research concludes that investing in higher gas can significantly reduce transaction times, presenting a trade-off between cost and speed in blockchain data-sharing for educational simulation media.