基于学习者个性特征的协同学习任务生成方法

摘要

现有协同学习系统无法自动生成学习任务,满足学习者个性化学习,针对此问题,提出了基于学习者个性特征的协同学习任务生成方法.该方法以学习者的个性特征为输入,用改进的贪婪算法进行分组,根据学习单元及所需角色的耦合度确定协同学习模式,结合贝叶斯网络技术生成符合学习者个性特征的学习任务,实验结果表明,基于该任务进行学习,显著提高了学习者的学习效率和学习深度.%The current CSCL systems are not able to generate learning tasks automatically and meet personalized learning. In order to solve the problem, a generation method of collaborative task which based on learners' personality characteristics is proposed. Make learner's personality characteristics as the input, group with improved greedy algorithm, determine the mode of collaborative learning based on learning unit and degree of coupling of the required role, generate learning task to meet learners' personality characteristics with Bayesian network technology. Experiment proves that the proposed method greatly improves learners' learning efficiency and learning depth.