Adaptive Learning Objects Assembly with compound constraints

机译：具有复合约束的自适应学习对象组装

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摘要

This article addresses how to fulfill ALOA (Adaptive Learning Objects Assembly) which provides users personalized learning resources and learning path based on evolutionary PBIL (Population Based Incremental Learning) algorithm. Both the users' preferences and learning resources' intrinsic characteristics are considered here. And the experience from proficient experts is used to give the LO (Learning Object) difficulty level and important grade which guides the LO's sequencing and selection. The constraints of knowledge such as basic ones, itinerary ones and compulsory ones are also vital factors for ALOA. All of above are modeled as a Constraint Satisfaction Problem (CSP). The PBIL algorithm is proposed and applied to ALOA firstly. The hybrid intelligent evolutionary algorithm is tested on true teaching data and the participants also give the learning feeling. We also obtained the experiment data from the tested data and questionnaire. ALOA's good validity, accuracy, and stability performance are verified.

机译：本文介绍如何实现ALOA（自适应学习对象程序集），它基于进化的PBIL（基于人口的增量学习）算法为用户提供个性化的学习资源和学习路径。这里考虑了用户的偏好和学习资源的内在特征。熟练的专家所提供的经验可用来为LO（学习对象）提供难度级别和重要等级，以指导LO的排序和选择。基本知识，行程知识和必修知识等知识约束也是ALOA的重要因素。以上所有内容都被建模为约束满足问题（CSP）。提出了PBIL算法并首先应用于ALOA。在真实的教学数据上测试了混合智能进化算法，参与者也给了学习的感觉。我们还从测试数据和问卷中获得了实验数据。验证了ALOA的良好有效性，准确性和稳定性。

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来源
《2014 IEEE Computing, Communications and IT Applications Conference》|2014年|34-39|共6页
会议地点 Beijing(CN)
作者
Shanshan Wan; Zhendong Niu;
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作者单位

Sch. of Comput. Sci. Technol., Beijing Inst. of Technol., Beijing, China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
computer aided instruction; constraint satisfaction problems; evolutionary computation; teaching; ALOA; CSP; adaptive learning object assembly; compound constraints; constraint satisfaction problem; evolutionary PBIL algorithm; hybrid intelligent evolutionary algorithm; learning object; learning resource intrinsic characteristics; population based incremental learning algorithm; user personalized learning resources; user preference intrinsic characteristics; Vectors; PBIL Algorithm; adaptive hypermedia; evolutiona;

机译：计算机辅助教学约束满足问题进化计算教学ALOA CSP自适应学习对象组合复合约束约束满足问题进化PBIL算法混合智能进化算法学习对象学习资源内在特征人口增量学习算法；用户个性化学习资源；用户偏好内在特征；向量； PBIL算法；自适应超媒体；演化;

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4. Adaptive Learning Objects Assembly with compound constraints [C] . Shanshan Wan, Zhendong Niu IEEE Computing, Communications and IT Applications Conference . 2014

机译：具有复合约束的自适应学习对象组装
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Adaptive Learning Objects Assembly with compound constraints

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