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This research presents a longitudinal study of learner uptake in a computer‐assisted language learning (CALL) environment. Over the course of 3 semesters, 10 second language learners of German at a Canadian university used an online, parser‐based CALL program that, for the purpose of this research, provided 2 different types of feedback of varying degrees of specificity: Metalinguistic explanations (ME) and metalinguistic clues (MC). Results indicate that feedback specificity affects learner uptake in different ways. Cross‐sectionally, the study reveals significant differences in learner uptake for the 2 more advanced courses, German 103 and 201, whereas for the introductory course, German 102, no significant difference for the 2 feedback types and their effect on learner uptake was found. Results of the longitudinal data indicate that there is a significant increase in learner uptake from German 102 to 201 for the error‐specific feedback (ME), whereas learner uptake for the generic feedback type (MC) varies insignificantly across the 3 courses. Finally, the study shows a significant impact of the 2 feedback types on learner uptake independent of error type (grammar and spelling).
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Trude Heift (2010) studied this question.
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