It is well-established that second/foreign language learning requires exposure to meaningful input. Thanks to advancing technologies, one way to achieve this in language teaching contexts is via online corpus tools. Given the potential pedagogical gains these tools offer for language skills (e.g., vocabulary, grammar,...
The KSAU-HS Learner Corpus is a longitudinal corpus of EFL tertiary writing that complies with the FAIR principles. Collection began in 2022 and captures writing development during a period of emerging language technologies (2022–24). The corpus contains over 856,907 tokens across 2,387 texts produced by 157 prepar...
Corpus-based tools and techniques not only facilitate the description of learners' language but can also be used in educational settings to design targeted classroom activities. This approach is known as data-driven learning (DDL). Access to corpus data enables learners to observe and analyze patterns in real language...
Investigation of how different DDL configurations shape both learning outcomes and processes in academic reading comprehension indicates that DDL led to overall gains in academic reading comprehension, with the magnitude of these gains varying by configuration.
The significance of this study is that it uses Intelligent Computer-Assisted Language Learning as an interpretive lens to make sense of a rapidly shifting field, offering a framework to help educators navigate modern generative tools.
A four-year project integrated direct corpus consultation through NINJAL corpora accessed via Chūnagon, with the dual aim of supporting language development and fostering research-oriented skills for working with Japanese primary sources, offering practical insights into the feasibility of DDL in Japanese language educ...
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