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RT Book, Whole SR Electronic DC OPAC T1 Writing to Learn Academic Words : Assessment, Cognition, and Learning / by Breno B. Silva T2 Second Language Learning and Teaching. ISSN:21937656 A1 B. Silva, Breno A1 SpringerLink (Online service) YR 2022 FD 2022 SP XX, 268 p. 59 illus., 17 illus. in color K1 Education, Higher K1 Language and languages -- Study and teaching K1 Educational tests and measurements K1 Higher Education K1 Language Education K1 Assessment and Testing ED 1st ed. 2022. PB Springer International Publishing : Imprint: Springer PP Cham SN 9783031065057 LA English (英語) CL LCC:LB2300-2799.3 CL DC23:378 NO 1: The Importance of General and Academic Vocabulary -- 2: Incidental Lexical Learning -- 3: The Writing Cycle and Cognitive Processes that May Affect Learning -- 4: An Overview of the Research Project -- 5: Inferential statistics and linear mixed models -- 6: Study 1 The Assessment of Academic Vocabulary: Developing a Reliable Academic Placement Tool -- 7: Discussion of findings for Study 1 -- 8: Study 2 Lexical Learning through Writing Sentences and Timed essays -- 9: Study 3 Lexical Learning through Writing Sentences, Timed and Untimed essays -- 10: Discussion for Studies 2 and 3. NO This book highlights the importance of English academic vocabulary for success at university and explores written tasks as effective pedagogical tools to promote the acquisition of academic words. The book reviews germane and recent SLA, psycholinguistic, corpus linguistics, and L2 writing research to underscore the challenges associated with the learning of academic words. Then, it reports on three empirical studies conducted in the Polish context. The first study develops a reliable tool to assess the knowledge of academic vocabulary of undergraduate learners. The second and third studies investigate the learning of academic words after the writing of sentences and argumentative essays, and discuss the role of cognition as a mediator of such learning. The book also provides an accessible introduction to linear mixed-effect models, a powerful, reliable, and flexible statistical technique that has been gaining popularity among SLA and psycholinguistics researchers NO HTTP:URL=https://doi.org/10.1007/978-3-031-06505-7 NO 書誌ID=EB16355407; LK [E Book]https://doi.org/10.1007/978-3-031-06505-7 OL 30