Kunrada Chiranorawanit. DDL scaffolding for pre-tertiary learners : using a pedagogical corpus and interface. Doctoral Degree(English Language Studies). Thammasat University. Thammasat University Library. : Thammasat University, 2022.
DDL scaffolding for pre-tertiary learners : using a pedagogical corpus and interface
Abstract:
Data-driven learning (DDL) an inductive corpus-based method for language learning offers a lot of advantages over the traditional method of instruction. One of them is the opportunity for co-constructive focus-on-form discovery learning of the target language in English classrooms. This study explores the process of DDL with pre-tertiary learners without an objective to measure learning outcomes. It collects interaction data from online collective and onsite one-to-one English lessons which use language examples from a pedagogical corpus and a search interface, both built by the teacher-researcher. The learners uptake of the concordance materials and the teacher talk for scaffolding are examined through textual analysis. In addition to investigating for theme and content, the researcher applies the Transitivity system of Systemic Functional Grammar. The analyses uncover patterns in the participants engagement. Some interesting conclusions made include the teachers push for form-meaning understanding and discursive act to make way for learner interactions, the learners disinclination to make use of the data evidence but observable ability to induce, and the existence of scaffolding gaps as emerging and stated by the learners. Overall, these findings signify the interactional and cognitive components in DDL which remain to be challenging for class application
Thammasat University. Thammasat University Library