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LIWCs the Same, Not the Same:Gendered Linguistic Signals of Performance and Experience in Online STEM Courses

机译:LIWC相同,不相同:在线STEM课程中表现和经验的性别语言信号

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Women are traditionally underrepresented in science, technology, engineering, and mathematics (STEM). While the representation of women in STEM classrooms has grown rapidly in recent years, it remains pedagogically meaningful to understand whether their learning outcomes are achieved in different ways than male students. In this study, we explored this issue through the lens of language in the context of an asynchronous online discussion forum. We applied Linguistic Inquiry and Word Count (LIWC) to examine linguistic features of students' reflective posting in an online chemistry class at a four-year university. Our results suggest that cognitive linguistic features significantly predict the likelihood of passing the course and increases perceived sense of belonging. However, these results only hold true for female students. Pronouns and words relevant to social presence correlate with passing the course in different directions, and this mixed relationship is more polarized among male students. Interestingly, the linguistic features per se do not differ significantly between genders. Overall, our findings provide a more nuanced account of the relationship between linguistic signals of social/cognitive presence and learning outcomes. We conclude with implications for pedagogical interventions and system design to inclusively support learner success in online STEM courses.
机译:传统上,女性在科学,技术,工程和数学(STEM)中的代表性不足。尽管近年来女性在STEM教室中的代表人数迅速增长,但了解其学习成果是否以与男生不同的方式实现仍具有教学意义。在本研究中,我们在异步在线讨论论坛的上下文中通过语言的角度探讨了这个问题。我们应用语言查询和字数统计(LIWC)来研究四年制大学在线化学课中学生反思性发贴的语言特征。我们的结果表明,认知语言特征可以显着预测通过该课程的可能性,并增加感知的归属感。但是,这些结果仅适用于女学生。与社交存在相关的代词和单词与通过不同方向的课程相关,而这种混合关系在男学生之间更加两极分化。有趣的是,性别之间的语言特征本身并没有显着差异。总体而言,我们的发现为社会/认知存在的语言信号与学习成果之间的关系提供了更为细致的解释。我们以教学干预和系统设计为最终结论,以全面支持在线STEM课程中学习者的成功。

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