How to check in continually over 4,000 days on an online learning platform? An empirical experience and a practical solution
Jialiang Lin
TL;DR
The paper addresses the problem that check-in incentives alone often fail to sustain long-term language learning. It introduces the GILT method (Goal Setting, Incentive Planning, Light Starting, Team Learning) with stage-based usage guidance and draws on the author's experience maintaining a 4,000+ day Shanbay check-in record. Key contributions include a concrete, stage-wise framework with actionable guidance for early, middle, and late stages, incorporating goal specificity, incentives, gradual task loading, and social accountability, plus makeup-check-in mechanisms and burnout management. The proposed approach is designed to be transferable to other online learning platforms to promote durable learning routines and perseverance in SLA contexts.
Abstract
The check-in service is often provided as an incentive system by online learning platforms to help users establish a learning routine and achieve accomplishment. However, according to the questionnaire conducted in this study, 82.5% of users of online English learning platforms that feature a check-in service have failed to maintain the daily check-in behavior for long-term language learning, mainly by reason of demotivation, forgetfulness, boredom, and insufficient time. As a language learner, I have an empirical experience in maintaining a record of over 4,000 daily check-ins on China's leading online English learning platform of Shanbay. In the meantime, I have been constantly exploring a practical solution to help cultivate perseverance for other users to follow through the learning routine. In this paper, I systematically introduce this practical solution, the GILT method, and its instructions. The experience and solution for perseverance development are based on Shanbay, but they can be applied to other learning platforms for different purposes.