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    • 1. 发明授权
    • Entropy-based sequences of educational modules
    • 基于熵的教学模块序列
    • US08879978B1
    • 2014-11-04
    • US14091664
    • 2013-11-27
    • Pearson Education, Inc.
    • Randall Bamhart
    • G09B7/00G09B5/02
    • G09B5/02G09B7/00
    • 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.
    • 本文公开的技术可以通过评估多个潜在序列的熵并且将下一个单位的选择偏向于与高序列熵相关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位的表示不足(相对于目标比例),并且偏向于在序列中包含不足的单位。 被考虑用于潜在选择的可用单元可以包括与学习者技能相匹配的单元(例如,使得所有先决单元已被掌握,但单元本身尚未被掌握)。 因此,技术可以产生促进单位变化的单元序列,并且仍然符合相对单位频率和技能水平的适当性。