arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1708.01263physics.ed-ph
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教育承诺和社交网络:非正式网络的力量

Educational commitment and social networking: The power of informal networks

Justyna P. Zwolak, Michael Zwolak, Eric Brewe

摘要:

缺乏吸引人的教学法和入门科学课程中高度竞争的氛围往往会阻碍学生追求科学,技术,工程和数学(STEM)专业。一旦进入STEM领域,学术和社会融合一直被认为对学生的坚持很重要。然而,它很少被调查。特别是,课堂内外互动的相对影响仍然是一个悬而未决的问题。在这里,我们展示了,令人惊讶的是,对于那些成绩落在“中间”的学生来说,课外网络是持久性的最重要的预测因素。为此,我们使用逻辑回归结合赤池的信息标准来评估类内和类外网络,等级和其他因素。对于成绩最好(和最差)的学生来说,期末成绩是最好的持久性预测器-这些学生可能已经承诺(或只是限制继续),所以他们坚持(或辍学)。然而,对于中等年级的学生来说,只有课外亲密度--衡量一个人沉浸在网络中的程度--有助于预测持久性。但这并不意味着不需要在类的关系。然而,它表明,在这个队列中,只有那些通过方便的课堂互动并开始在课堂外形成牢固联系的学生才致力于他们的学习。由于许多学生因自然减员而流失,我们的研究结果为提高学生在STEM专业的坚持性提供了切实可行的途径。

英文摘要:

The lack of an engaging pedagogy and the highly competitive atmosphere in introductory science courses tend to discourage students from pursuing science, technology, engineering, and mathematics (STEM) majors. Once in a STEM field, academic and social integration has been long thought to be important for students' persistence. Yet, it is rarely investigated. In particular, the relative impact of in-class and out-of-class interactions remains an open issue. Here, we demonstrate that, surprisingly, for students whose grades fall in the "middle of the pack," the out-of-class network is the most significant predictor of persistence. To do so, we use logistic regression combined with Akaike's information criterion to assess in- and out-of-class networks, grades, and other factors. For students with grades at the very top (and bottom), final grade, unsurprisingly, is the best predictor of persistence---these students are likely already committed (or simply restricted from continuing) so they persist (or drop out). For intermediate grades, though, only out-of-class closeness---a measure of one's immersion in the network---helps predict persistence. This does not negate the need for in-class ties. However, it suggests that, in this cohort, only students that get past the convenient in-class interactions and start forming strong bonds outside of class are or become committed to their studies. Since many students are lost through attrition, our results suggest practical routes for increasing students' persistence in STEM majors.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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