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基于大数据的新疆职业院校少数民族大学生精准资助应用研究 被引量:8

Research on the application of precision funding for minority college students in Xinjiang vocational colleges based on big data
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摘要 在新疆南部三地州,由于高原荒漠、经济落后、贫困人口数目众多,形成了连片贫困地区,不利于社会和谐稳定发展。在政策的支持下,许多少数民族贫困家庭的孩子进入了新疆职业院校就读。如何应用大数据思维和技术,客观还原贫困学生的真实生活状况,并有效展开精准资助工作,对在校少数民族贫困大学生帮扶,保障贫困家庭学生接受高等教育的机会,对新疆地区社会和谐稳定发展具有深远的现实意义。 In the southern three states of Xinjiang,due to the deserts in the plateau,economic backwardness and the large number of poor people,a contiguous poverty-stricken area has formed,which is not conducive to the harmonious and stable development of society. With the support of the policy,many children from poor families in ethnic minorities have entered the Xinjiang Vocational College. How to apply big data thinking and technology,objectively restore the real life situation of poor students,and effectively carry out accurate fund-raising work,help the poor minority college students in school,guarantee the opportunities for poor families to receive higher education,and social harmony and stability in Xinjiang Development has far-reaching practical significance.
作者 李自臣 刘江越 陈梅 LI Zi-chen;LIU Jiang-yue;CHEN Mei(School of Information Engineering,Urumqi Vocational University,Urumqi 830002,Chin)
出处 《黑龙江科学》 2018年第15期14-15,共2页 Heilongjiang Science
基金 新疆自治区职业教育项目(XJZJKT-2016X36) 高等职业技术教育研究会项目(GZYLX2016018) 乌鲁木齐职业大学重点课题(2017XZ006)
关键词 精准扶贫 精准资助 大数据 脱贫路径 减贫绩效 Precision poverty alleviation Precision funding Big data Poverty alleviation path Poverty reduction performance
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