Dataset of factors impacting second language learning from teachers' experience
收藏Mendeley Data2024-04-12 更新2024-06-27 收录
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https://datadryad.org/stash/dataset/doi:10.5061/dryad.zcrjdfnb4
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Developing an accurate second language competence different from the mother tongue has become an essential skill in today's globalized world, and therefore it is a highly valued and demanded learning among the main educational institutions and models. However, it is a complex process that is influenced by numerous and, in many cases, unknown factors, which are not usually taken into consideration when designing second language learning processes, which tend to lead to inadequate teaching and may lead to school failure that could have been avoided. 216 in-service teachers from all non-university educational stages of the Community of Madrid, Spain, evaluate the significance of 44 factors traditionally associated with second language learning, which are grouped into four general categories (factors linked to students; factors linked to teachers; learning structure and organisation; and learning environment) through a five-point Likert scale. The data were collected using a Google Forms questionnaire through the research described in Arigita-García et al. (2021). The sample is heterogeneous concerning different attribute variables such as age, teaching experience, gender, school ownership, and the language in which classes are taught. The sample was obtained through social networks and teacher forums. The data collection offers essential information to better understand the process of second language learning, as it gathers the experience and learning accumulated by the teachers who took part in this work, which implies direct information from the educational reality that they are intended to improve.
在当今全球化时代,掌握与母语不同的精准第二语言能力已成为一项必备技能,因此该能力的学习在主流教育机构与教育模式中均受到高度重视与广泛需求。然而,第二语言学习是一项复杂的过程,受众多因素影响——其中诸多因素在多数情况下尚未被完全认知,而这些因素在第二语言学习课程设计中往往未被纳入考量,进而易导致教学适配性不足,甚至引发本可避免的学业失败。本研究面向西班牙马德里自治区所有非大学教育阶段的216名在职教师,采用五点李克特量表(Likert scale),对传统上与第二语言学习相关的44项因素的重要性进行评估。这44项因素被划分为四大类别:学生相关因素、教师相关因素、学习结构与组织,以及学习环境。本次研究的数据采集依托Google Forms问卷完成,相关研究细节参见Arigita-García等人(2021)的研究成果。该样本在年龄、教学年限、性别、学校办学性质以及授课语言等多项属性变量上均呈现异质性特征。样本通过社交网络与教师论坛招募获取。本次数据采集收集了参与本研究的教师所积累的教学经验与学习体悟,能够提供来自一线教育实践的直接信息,有助于学界更深入地理解第二语言学习的完整过程,进而助力教育质量的优化提升。
创建时间:
2023-06-28



