The Effect of Emotional Context and Valence on Second Language Vocabulary Acquisition: Experimental Investigation, Multifaceted Analysis, and Pedagogical Applications

情感语境和效价对第二语言词汇习得的影响：实验调查、多方面分析和教学应用

• 批准号: 19K00899
• 负责人: 金澤 佑
• 金额: $ 2.83万
• 依托单位: Kwansei Gakuin University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2019
• 资助国家: 日本
• 起止时间: 2019-04-01 至 2024-03-31
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-19K00899/
• 关键词: Emotion; Vocabulary Database; EFL; SRS; ICT in Education; NAWL; Memory; EmAL; Vocabulary; Spaced Repetition

In the extended fourth fiscal year of 2022 (FY2022), PI kept on implementing the learning system E-NAWL (Enriched, Emotional, Educational, Electronic New Academic Word List) in a university-level English as a foreign language learning setting. Co-I made improvements on the interleaved spaced repetition learning software and the server Eigomemo, solving technical troubles and improving the software user experiences. Notably, now Eigomemo has more gamification functions that facilitate student engagement - such as medal systems and log-in bonuses. The progress of E-NAWL was published as a co-authored journal article in March 2023: Kanazawa, Y., & Lafleur, L. (2023). ENAWL: Enriching the New Academic Word List with emotional valence , familiarity, and knowledgeability. Kokusaigaku Kenkyu - Journal of International Studies, 12(1), 141-151. PI further collected emotional data of academic English words, this time including new data concerning the third emotional dimension on top of valence and arousal, i.e., dominance. Throughout the school year, lexical dominance data were collected for all E-NAWL items and formulaic items. In addition, E-NAWL contextual arousal data were newly collected, too, supplementing the contextual valence data collected in FY2021. Moreover, submitted manuscripts, one about the lexical and contextual valence, the other about the interleaved spaced repetition learning software, are currently under review.

在延长的2022财年(FY2022)，PI继续在大学层面的英语作为外语学习环境中实施学习系统E-NAWL(丰富的、情感的、教育的、电子的新学术词表)。CO-I对交错间隔重复学习软件和服务器Eigomemo进行了改进，解决了技术问题，改善了软件用户体验。值得注意的是，现在Eigomemo拥有更多促进学生参与的游戏化功能--比如奖牌系统和登录奖金。E-NAWL的进展于2023年3月作为合著的期刊论文发表：Kanazawa，Y.，&Lafleur，L.(2023)。ENAWL：用情感效价、熟悉度和知识性丰富新的学术词表。Kokusaigaku Kenkyu--国际研究杂志，12(1)，141-151。Pi进一步收集了学术英语词汇的情感数据，这一次包括了关于价态和唤醒之外的第三个情感维度的新数据，即优势。在整个学年中，收集了所有E-NAWL项目和公式化项目的词汇优势数据。此外，还新收集了E-NAWL情境唤醒数据，补充了2021财年收集的情境效价数据。此外，提交的手稿，一份是关于词汇和语境配价的，另一份是关于交错间隔重复学习软件的，目前正在审查中。