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Entropy-based sequences of educational modules

机译:基于熵的教育模块序列

摘要

Techniques disclosed herein can determine sequences for educational units by evaluating entropies of multiple potential sequences and biasing selection of next units towards those associated with high sequence entropies. Further, an analysis can determine which units are under-represented (relative to a target proportion) in a past sequence and bias towards inclusion of an under-represented unit in the sequence. The available units that are considered for potential selection can include those matched to a learner's skill (e.g., such that all pre-requisite units have been mastered but the unit itself has not been mastered). Thus, techniques can generate sequences of units that promote unit variation and nonetheless conform to relative unit frequencies and skill level appropriateness.
机译:本文公开的技术可以通过评估多个潜在序列的熵并将下一单元的选择偏向与高序列熵相关联的单元来确定教育单元的序列。此外,分析可以确定在过去的序列中哪些单元的代表性不足(相对于目标比例),并且倾向于在序列中包含一个代表性不足的单元。被考虑用于潜在选择的可用单元可以包括那些与学习者的技能相匹配的单元(例如,使得所有先决条件单元都已被掌握,但单元本身尚未被掌握)。因此,技术可以产生促进单元变化并且仍然符合相对单元频率和技能水平适当性的单元序列。

著录项

  • 公开/公告号US10650692B2

    专利类型

  • 公开/公告日2020-05-12

    原文格式PDF

  • 申请/专利权人 PEARSON EDUCATION INC.;

    申请/专利号US201916422084

  • 发明设计人 RANDALL BARNHART;

    申请日2019-05-24

  • 分类号G09B5/02;G09B7;

  • 国家 US

  • 入库时间 2022-08-21 11:31:14

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