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2019 Fiscal Year Final Research Report

An Investigation into High-Feedback Engagement Factors in Technology-Enhanced-Learning Materials that tap into the OCEAN Personality Traits of ESL Learners

Research Project

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Project/Area Number 16K02896
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Foreign language education
Research InstitutionTokai University

Principal Investigator

Cvitkovic Robert  東海大学, 国際教育センター, 講師 (00412627)

Co-Investigator(Kenkyū-buntansha) ボビー ヒロユキ  九州産業大学, 語学教育研究センター, 准教授 (20536247)
Praver Max  名城大学, 外国語学部, 准教授 (60598712)
Project Period (FY) 2016-04-01 – 2020-03-31
KeywordsPersonality traits / MALL / elearning / feedback
Outline of Final Research Achievements

The aim was to determine the degree of correlation between perceived app value and 1) OCEAN five dimensions of personality, 2) six facets of conscientiousness, 3) five English proficiency levels, 4) educational app usage patterns, and 5) regulation autonomy index (RAI). Multiple linear regression results showed significant positive correlations between app value and English proficiency, RAI, and app usage patterns. Furthermore, significant positive correlations also were found when personality traits were grouped using cluster analysis. A 3-way independent ANCOVA revealed significant interactions between educational app usage patterns, five clusters of the facets of conscientiousness and English ability. Two points stand out, 1) there are facet clusters that rate app value significantly higher than other clusters across all English proficiency levels, and 2) subjects with high usage patterns rate app value statistically higher irrespective of English proficiency level.

Free Research Field

Effectiveness of English Learning apps

Academic Significance and Societal Importance of the Research Achievements

There are significant interactions between educational app usage patterns, five clusters of the facets of conscientiousness and English ability. There are facet clusters that rate app value significantly higher than other clusters across all English proficiency levels.

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Published: 2021-02-19  

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