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SYSTEMS AND METHODS FOR PREDICTION OF STUDENT OUTCOMES AND PROACTIVE INTERVENTION

机译:预测学生成绩和主动干预的系统和方法

摘要

Systems and methods of the present invention provide for one or more machine learning models configured to generate one or more student outcome predictions, such as whether a student will correctly respond to items of an assessment or will pass the assessment, based on monitored student activity and associated parameters. Inputs to the machine learning models may include outputs of other predictive models, such as an item response theory model and a short term prediction model. The machine learning models may output a student outcome prediction vector containing student outcome predictions for each uncompleted item of an assessment being delivered to a student in real-time. Remediation activities may be recommended to or automatically initiated for the student based on the student outcome predictions. A delivery order of the assessment may be modified based on the student outcome predictions.
机译:本发明的系统和方法提供一种或多种机器学习模型,其被配置为基于监控的学生活动和以下各项生成一个或多个学生结果预测,例如学生是否将正确响应评估项目或将通过评估。相关参数。机器学习模型的输入可以包括其他预测模型的输出,例如项目响应理论模型和短期预测模型。机器学习模型可以输出学生结果预测向量,该向量包含实时交付给学生的评估的每个未完成项目的学生结果预测。可以根据学生结果预测向学生推荐或自动启动补救活动。可以基于学生结果预测来修改评估的交付顺序。

著录项

  • 公开/公告号US2020074874A1

    专利类型

  • 公开/公告日2020-03-05

    原文格式PDF

  • 申请/专利权人 PEARSON EDUCATION INC.;

    申请/专利号US201916554159

  • 申请日2019-08-28

  • 分类号G09B7/04;G06N20/20;G06N3/08;G06K9/62;

  • 国家 US

  • 入库时间 2022-08-21 11:19:12

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