Feedback is an important component of both video games and language learning. All games utilise feedback to teach their players how to play the game, and in game-based language learning, there is also corrective feedback, where the feedback attempts to help learner-players rectify their language errors. This automated digital corrective feedback is distinct from the oral and written corrective feedback traditionally studied in second-language acquisition contexts, as it must be discernible, can be provided on an individualised basis, and lacks opportunities for negotiation of meaning. Two common forms of automated digital corrective feedback are outcome feedback—where the learner-player is told only if they are right or wrong—and process feedback—where information is given to allow the learner-player to understand what led to their error. This entry describes the current state of research on automated digital corrective feedback in digital game–based language learning and teaching contexts.