Artificial intelligence is becoming more relevant in the educational field. Despite that, it also requires several foundational elements to be adopted, such as powerful digital devices, fast connectivity, and cloud computing, which low-income nations may take several decades to provide. Consequently, it may turn into a new source of inequality in education. In this context, the AIED Unplugged framework emerged as an alternative for resource-limited settings. Because of that, this paper aims to comprehensively understand how its guidelines may be changed in the long term while ensuring equitable education. Therefore, by abstracting the aspects of the Unplugged and gathering evidence from the literature, this study provides a long-term AIED Unplugged framework to guide AI solutions development as schools receive more resources while promoting a collaborative effort between AIED researchers and policymakers. The findings of this work might be valuable for decision-makers and human-centered AI researchers.