This study investigates the relationship between language learning strategy (LLS) preferences and AI writing tool use among 147 English as a Foreign Language (EFL) learners at a South Korean university. Participants were divided into two groups based on their preferred language learning strategies, as determined by the Strategy Inventory for Language Learning (SILL): memory/compensation strategies (Group 1) and metacognitive strategies (Group 2). The SILL survey was followed up with assessments on the participants’ use of AI writing tools and their reflections on how these tools were used in the writing process. Results revealed some minor correlations between specific strategy types and functions in AI writing tools— including preferences which suggest that metacognitive strategy users use AI writing tools for the development of ideas and structuring the writing process—but were limited due to individual learner variables which had not been measured. The findings provide directions for the consideration of language learning strategies when designing AI writing tools to create personalized and effective learning experiences.

Clues of importance contained in interactive processes between students with cultural diversity and networked systems can offer meaningful insights into effective instructional design. This paper revisits significant and seminal research contributions in the fields of technologically- mediated communication and culture to bring insights into designing effective technologically-mediated learning environments for culturally diverse students. In support this, a wide range of existing researches were reviewed. Mainstream of research focusing paralinguistic cuing and technologically- mediated communication were analyzed and then terms of culture and instructional design were elaborated in an attempt to prove the assumption of the study. Based on the literature presented thus far, there is good reason to conclude that technology-mediated communication involves a complex multimodal process requiring not only speech, but also gaze, gesture, and facial expressions. By furthering our understanding of the impact of cultural diversity in technologically- mediated learning environments, we surely ensure that more effective instructional designs emerge.