Presentation Schedule
Reconstructing Lexical Networks of Japanese EFL Learners: An Application of Technique Feature Analysis to Already-Known Words (107847)
Friday, 10 July 2026 15:30
Session: Poster Session 2
Room: Brunei Gallery (Ground Floor)
Presentation Type:Poster Presentation
This study employed Technique Feature Analysis (TFA) to examine the characteristics of tasks that may help reconstruct Japanese EFL learners’ lexical networks. We focused our interest on the deepening and broadening of knowledge of already-known words, rather than on the retention of newly learned words. Twenty target words were selected from an essay. Participants (73 Japanese university students) evaluated perceived relationship among these words (Test-1). One week later, they read the essay and completed one of three tasks. The MCQ group answered multiple-choice questions about the meaning of the target words. The FIB group filled in the blanks in the essay using the target words, supported by definitions and example sentences. The Composition group completed sentences separate from the essay using the target words. Based on TFA criteria, the tasks were assigned 5 points for MCQ, 7 points for FIB, and 8 points for Composition. After completing the tasks, participants took the same word-relationship test as Test-1 (Test-2). Finally, four weeks later, they took Test-3. The results showed that word-relationship scores increased from Test-1 to Test-2 and declined from Test-2 to Test-3 in all groups. The effects of groups (i.e., different tasks) were not found. The results were also analysed and visualised by Gephi, a data-visualisation platform, and showed some qualitative features of individual’s network change. Overall, the results did not support the learning effects predicted by TFA, suggesting the need for more appropriate tasks and/or indices of criteria when applying TFA to learning of already-known words.
Authors:
Noriko Aotani, Tokai Gakuen University, Japan
Shinya Takahashi, Tokai Gakuen University, Japan
About the Presenter(s)
Professor Noriko Aotani is currently at Tokai Gakuen University in Japan
See this presentation on the full schedule – Friday Schedule
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