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Finding the leaders: an examination of social network analysis and leadership identification in STEM education change

机译:寻找领导者:STEM教育变革中的社交网络分析和领导力识别研究

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Background Social network analysis (SNA) literature suggests that leaders should be well connected and can be identified through network measurements. Other literature suggests that identifying leaders ideally involves multiple methods. However, it is unclear using SNA alone is sufficient for identifying leaders for higher education change initiatives. We used two sets of data, teaching discussion network data taken at three different times and respondent nominations for leaders, to determine whether these two methods identify the same individuals as leaders. Results Respondent-nominated leaders have more direct and indirect ties on average than non-leaders, which aligns with the SNA literature. However, when looking at individuals as leaders, many respondent-nominated leaders would not be identified using SNA because they are poorly connected. Also, many individuals who were not nominated would have been considered leaders because they are well connected. Further examining these results did not indicate why there is such a difference between the SNA-identified and respondent-nominated leaders. Conclusions While these two methods identify some of the same individuals as leaders, there are many differences between the two methods. Using just one method may not be adequate for ensuring that suitable individuals are selected to lead these projects. We recommend multiple methods when selecting leaders.
机译:背景社交网络分析(SNA)文献表明,领导者应保持良好的联系,并可以通过网络测量来识别。其他文献表明,理想的领导者识别涉及多种方法。但是,尚不清楚仅使用SNA是否足以确定领导者进行高等教育改革计划。我们使用了两组数据,教学在三个不同时间获取的讨论网络数据以及领导者的候选人提名,以确定这两种方法是否将同一个人标识为领导者。结果受访者提名的领导者平均比非领导者具有更多的直接和间接联系,这与SNA文献一致。但是,当将个人视为领导者时,由于他们之间的联系不畅,许多使用受访者提名的领导者都无法使用SNA来识别。同样,许多没有提名的人也将被视为领导者,因为他们之间的关系很好。进一步检查这些结果并不能说明为什么在国民经济核算体系确定的领导人和被提名的领导人之间有如此大的差异。结论虽然这两种方法将某些个人识别为领导者,但两种方法之间存在许多差异。仅使用一种方法可能不足以确保选择合适的个人来领导这些项目。选择领导者时,我们建议使用多种方法。

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