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Exploring the relationship among learning patterns, personality traits, and academic performance in freshmen

机译:探索新生学习方式,人格特质和学习成绩之间的关系

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Providing information about how 1st-year students learn may help colleges plan actions aimed at increasing students' persistence in higher education programs. This research aims to assess 1st-year students' academic performance, using a path analysis to establish inter-correlations among students' personality traits, learning patterns, high school achievement, and objectively measured outcomes. Participants included 509 freshmen from different academic disciplines. Results show a causality relations model in which Conscientiousness positively influences Sequential and Precise learning patterns as well as academic performance. The path model also confirms Extraversion as a negative antecedent of the Technical learning pattern. It is argued that knowing students is a primary step to putting them in a position to become an active part of the learning process.View full textDownload full textKeywordsfreshmen, academic performance, personality traits, learning patternsRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/13803611.2011.599564
机译:提供有关一年级学生学习方式的信息可能有助于大学计划旨在提高学生对高等教育计划的坚持性的行动。这项研究旨在评估一年级学生的学业成绩,使用路径分析建立学生人格特征,学习模式,高中成绩和客观衡量的结果之间的相互关系。参加者包括来自不同学科的509名新生。结果显示了因果关系模型,其中尽责性对顺序学习和精确学习模式以及学习成绩产生积极影响。路径模型还确认外向性是技术学习模式的负面前提。据认为,了解学生是使他们成为学习过程中积极的一部分的第一步。查看全文下载全文关键字新鲜人,学习成绩,人格特质,学习模式相关的var addthis_config = {ui_cobrand:“泰勒和弗朗西斯在线”,services_compact:“ citeulike,netvibes,twitter,technorati,可口,linkedin,facebook,stumbleupon,digg,google,更多”,pubid:“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/13803611.2011.599564

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