Before revision:  Analogous to other domains in AI , there are specific tasks of AIEd for which labels are scarce . For instance, labels like exam score and grade are considered important in educational and social context. However, obtaining the labels is costly as they require student actions taken outside the system. Likewise, while student events like course dropout and review correctnessare automatically recorded by IESs, they are few in number as the events occur sporadically in practice .
After revision:  Analogous to other domains in AI , there are specific tasks of AIEd for which labels are scarce and expensive, such as predicting exam score or review correctness .