表題番号:2024C-381 日付:2025/04/08
研究課題Assessing competence attributions for phoneme-grapheme recognition
研究者所属(当時) 資格 氏名
(代表者) 教育・総合科学学術院 教育学部 教授 オオガ‐ボールドウィン ウィリアム L. Q.
(連携研究者) University of Hong Kong Associate Professor Luke Fryer
(連携研究者) University of Hong Kong Senior Lecturer Alex Shum
(連携研究者) University of Hong Kong PhD Candidate Lishi Liang
(連携研究者) Waseda University PhD Candidate Emiko Hirosawa
(連携研究者) Waseda University PhD Candidate Yuka Kono
(連携研究者) Seinan Gakuin University Lecturer Kaori Nakao
(連携研究者) Doshisha University Professor Yoshiyuki Nakata
(連携研究者) The University of the Ryukyus Associate Professor Atsuko Tsuda
(連携研究者) Royal Commission for Jubail and Yanbu Associate Professor Ali Al-Hoorie
研究成果概要

The current research examining language learning processes in Japanese educational settings has revealed important patterns in how students develop language competencies across both native and foreign language contexts. Findings demonstrate the interconnected nature of language learning, particularly regarding self-efficacy, feedback mechanisms, and assessment approaches.

The findings of the current project highlight that language learning competencies do not develop in isolation. Rather, students' abilities and confidence in one language domain appear to influence their performance in others. This transfer effect suggests that educators should consider language learning as an integrated process rather than treating native and foreign language instruction as separate endeavors. This extends to the process of learning to read and the ways that students develop sound-letter understanding.

Student responses to feedback emerged as another critical factor in language learning outcomes. While learners express clear preferences for certain types of feedback, these preferences don't always align with established effective teaching practices. This misalignment creates an interesting dynamic where the gap between preferred and received feedback appears to influence learning outcomes.

The transition to digital learning environments adds another layer of complexity to language instruction and assessment. Performance patterns differ notably between traditional and digital assessment formats, suggesting that the medium of instruction and testing may influence how students demonstrate their language competencies. However, fundamental language skills appear to transfer across these different assessment contexts.

These insights point toward several key considerations for language education. Curriculum design should acknowledge the interconnected nature of language learning across different linguistic domains, while educators need to balance student preferences for feedback with evidence-based instructional practices. Additionally, assessment strategies should account for how different testing formats might influence student performance.

Current developments in assessment systems are incorporating these findings to create more integrated approaches that consider both cognitive skills and psychological factors in language learning. This research suggests that effective language instruction requires a holistic approach that considers not just traditional measures of language competency, but also students' psychological engagement with the learning process. Future research will investigate how the feedback process provided through both assessments, attributions, and student judgments might show reciprocal effects on classroom learning.