本文選題：分類招考 + 學(xué)業(yè)預(yù)警��； 參考：《中國職業(yè)技術(shù)教育》2017年32期

【摘要】：在高等職業(yè)院校分類招考制度廣泛實(shí)施的背景下,為加強(qiáng)高職學(xué)生學(xué)習(xí)情況的過程監(jiān)控,以高等職業(yè)教育學(xué)生的基本情況與早期課程成績?yōu)檠芯繉ο?基于隨機(jī)森林算法構(gòu)建了高職學(xué)生學(xué)業(yè)早期預(yù)警模型,經(jīng)訓(xùn)練、調(diào)試,模型的預(yù)測準(zhǔn)確率達(dá)87%,具有較高實(shí)用性,能夠幫助學(xué)校對學(xué)生學(xué)業(yè)進(jìn)行早期預(yù)警并及時干預(yù),進(jìn)一步提高教育教學(xué)質(zhì)量。
[Abstract]:In the context of the wide implementation of the classified entrance examination system in higher vocational colleges and universities, in order to strengthen the monitoring of the learning process of higher vocational students, the basic situation of students in higher vocational education and the early course results are taken as the research objects. Based on the stochastic forest algorithm, an early warning model for higher vocational students is constructed. After training, debugging, the prediction accuracy of the model is 87%, which is practical and can help the school to carry out early warning and intervene in time. We will further improve the quality of education and teaching.
【作者單位】： 武漢船舶職業(yè)技術(shù)學(xué)院;
【基金】：高等職業(yè)技術(shù)教育研究會“十二五”規(guī)劃課題“大數(shù)據(jù)環(huán)境下高職教學(xué)管理的研究”研究成果(項(xiàng)目編號:GZYLX2015087)
【分類號】：G712

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