Navigating the Landscape of Hint Generation Research: From the Past to the Future

arXiv:2404.04728v1 Announce Type: new
Abstract: Digital education has gained popularity in the last decade, especially after the COVID-19 pandemic. With the improving capabilities of large language models to reason and communicate with users, envisioning intelligent tutoring systems (ITSs) that can facilitate self-learning is not very far-fetched. One integral component to fulfill this vision is the ability to give accurate and effective feedback via hints to scaffold the learning process. In this survey article, we present a comprehensive review of prior …

abstract arxiv capabilities covid covid-19 covid-19 pandemic cs.cl cs.hc digital education future improving intelligent landscape language language models large language large language models pandemic reason research self-learning systems tutoring type