L2 Constructions in the Digital Age: Connecting Corpus-informed Materials Design and Technology for the Autonomous Learning of Tagalog
De Los Reyes, Nicole Casin
Citations
Abstract
The success of autonomous second/additional language (L2) learning is contingent on the availability of theoretically grounded, open educational resources (OERs) that engage learners with the target language and reflect real-world language use (Tomlinson, 2016). While corpus-informed approaches have shown promise in materials development for data-driven learning (DDL), their application to less commonly taught languages remains limited (Vyatkina, 2020, 2023b). Furthermore, the potential of integrating corpus insights with modern technologies for seamless learning is largely unexplored (Wong et al., 2015). This study addresses these gaps by investigating the development of corpus-informed OERs for the self-directed learning of Tagalog by novice adult learners outside of formal classroom contexts, focusing on simple predicative sentences and Tagalog’s challenging symmetrical voice system (Barrios & Garcia, 2023). The research combines usage-based and constructionist approaches with a corpus analysis of a 47,252,113-token subcorpus of Tagalog blogs, extracted from the larger tlTenTen19 corpus (Jakubíček et al., 2013). Distinctive collexeme and items-in-construction analyses (Gries & Stefanowitsch, 2004; Herbst, 2018) are employed to examine verb-construction associations and subject-predicate relationships. The findings inform the creation of prototype DDL materials within a Pedagogical Construction Grammar framework (Herbst, 2016), enhanced with marker-based augmented reality features (i.e., QR codes) for cross-device accessibility. By demonstrating the integration of corpus methods, pedagogical applications, and Web 2.0 technologies, this research provides a model for developing innovative language learning resources for understudied languages. The study contributes to the diversification of applied linguistics research, bridges the gap between corpus linguistics and pedagogy, and lays the groundwork for future empirical studies on the efficacy of corpus-informed, technologically-enhanced materials for autonomous language learning.
