Direct instruction facilitates learning without the costs of exploration, yet teachers must be selective because not everything can nor needs to be taught. How do we decide what to teach, and what to leave for learners to discover? Here we investigate the cognitive underpinnings of the human ability to prioritise what to teach. We present a computational model that decides what to teach by maximising the learner's expected utility of learning from instruction and from exploration, and show that children (age 5-7) make decisions that are consistent with the model's predictions (i.e., minimising the learner's costs and maximising the rewards). Children flexibly considered either the learner's utility or their own depending on the context and even considered costs they had not personally experienced to decide what to teach. These results suggest that utility-based reasoning may play an important role in curating cultural knowledge by supporting selective transmission of high-utility information.DECIDING WHAT TO TEACH 3 Humans actively explore their surroundings and learn from their own experience. 1 Even young children direct their own learning through exploratory play and update their 2 beliefs from self-generated evidence 1,2,3,4 . However, exploration involves uncertainty; 3 learners may not know the time and e ort required to make a discovery, and even after 4 much trial-and-error, they may fail to discover anything at all. Such uncertainty can make 5 it especially challenging for novice learners to decide what or when to explore, because they 6 often lack the knowledge or experience to estimate the expected costs and rewards of 7 exploration. 8 Social learning provides an e ective solution to this problem. Teaching, in particular, 9 is a powerful way to facilitate learning. When knowledgeable individuals teach what they 10 know, naïve learners can avoid the uncertainties of exploration and acquire useful 11 knowledge even when self-guided discovery is too costly 5 . For instance, a hunter-gatherer 12 who already knows how to make fire can save others from hours of trial-and-error by 13 showing them how to make it. However, teaching requires an investment of time, e ort, 14 and resources 6 , making it necessary for teachers to be selective in what they choose to 15 teach. Indiscriminately teaching anything would be ine cient; not all of one's knowledge is 16 useful for others, and some knowledge can be acquired easily without being taught or only 17 through direct experience. Relying upon learners' requests to decide what to teach would 18 also be ine ective; ignorant learners may be unaware of what they need to learn or unable 19 to communicate their requests. Thus, while teaching yields significant benefits for learners, 20 it also presents a decision-problem for teachers: What needs to be taught, and what can be 21 left for learners to discover on their own?
22As adults, we share the intuition that it is better to teach things that are useful, 23 novel, and interesting for others (i.e., ...