基于训练的同伴互评推荐策略研究

Research on Recommendation Strategies of Peer Assessment with Training

同伴互评是在线课程中一种有效的学习评价方式,能够解决大规模在线学习评价问题,提高评价效率。针对同伴互评中存在的评阅匹配问题,提出了一种基于互评训练的评阅者匹配推荐策略。通过对训练数据的分析,挖掘学习者的评价特征,生成同伴互评推荐列表。实践表明,该策略能够保证同伴互评的有效性和可靠性,促进学习者进行学习内省。

Peer assessment is an effective evaluation method for online courses,which can solve the problem of large-scale online learning evaluation and improve the evaluation efficiency.Aiming at the problem of matching in peer assessment,a reviewer match-ing recommendation strategy based on training is proposed.According to the analysis of training data,it mines the evaluation charac-teristics of learners and generates the peer assessment recommendation list.The practice result shows that this strategy can ensure the effectiveness and reliability of peer assessment and promote learners'learning introspection.