0


同伴学习的重要性:以PeerWise为例

The Importance of Peer-Learning: A Case Study on PeerWise
课程网址: http://videolectures.net/internetofeducation2013_green_tang_peerw...  
主讲教师: Kevin Tang; Sam Green
开课单位: 伦敦大学学院
开课时间: 2013-12-10
课程语种: 英语
中文简介:
在这篇演讲中,我们将分享我们在伦敦大学学院(University College London)实施同伴学习系统PeerWise的经验。PeerWise是一个在线的选择题库,由学生创建、回答、评分和讨论。PeerWise让学生参与形成性评估和反馈过程,使他们能够培养一些关键技能,这些技能将提高我们学生的就业能力,包括与他人协商意义、跨文化交流以及参与同龄人工作时的分析和评估技能。该系统由一个面向本科生和研究生的语言模块实现。学生们被分成三人一组。分组的方法可以是随机的,也可以是混合能力的。首先,我们发现整个模块都有积极的参与,而不仅仅是在最后期限内完成。此外,考试前的使用量有所增加,这表明它被用作复习工具。其次,我们发现他们的模块表现与PeerWise内部得分之间存在显著的相关性,PeerWise内部得分由问题写作、回答问题和对现有问题的评分组成。这只适用于按混合能力分组的学生。最后,我们进行了一个嵌套模型比较,以测试混合能力分组是否对它们的性能有影响。利用R统计软件包中的lm函数建立了两个模型,分别是以PeerWise得分和Group作为预测因子的超集模型和仅以PeerWise得分作为预测因子的子集模型。结果发现,虽然PeerWise评分和分组都是超集模型中的显著预测因子,但分组对预测有显著改善,p<0.05。总之,我们的结果表明混合能力分组是同伴学习的关键。
课程简介: In this talk, we will share our experience of implementing a Peer-learning system, PeerWise at University College London. PeerWise is an online repository of multiple-choice questions that are created, answered, rated and discussed by students. PeerWise involves students in the formative assessment and feedback process and enables them to develop a number of key skills which will enhance the employability of our students, including negotiating meaning with others, cross-cultural communication, and analytical and evaluation skills as they engage with the work of their peers. The system was implemented with one linguistic module for undergraduate and postgraduate students. Students were put into groups of three. The method of grouping was manipulated to be either randomly or by mixed ability. Firstly, we found that there is an active engagement throughout the module, not just meeting deadlines. Furthermore, there was an increase in usage before exams which suggests that it was used as a revision tool. Secondly, we found an significant correlations between their module performance and PeerWise internal scores which is composed of individual scores for question writing, answering questions and rating existing questions. This only applied to students that were grouped by mixed ability. Finally, we performed a nested model comparison to test if the mixed ability grouping has an effect on their performance. The lm function in R statistical package was used to build two models, the superset model which has both PeerWise score and Group as the predictors, and the subset model which has only the PeerWise score as the predictor. It was found that while both PeerWise scores and grouping were significant predictors in the superset model, grouping made a significant improvement in prediction with p < 0.05. Together, our results suggest that mixed-ability grouping is key to peer learning.
关 键 词: 学习系统; 同伴学习; 超集模型
课程来源: 视频讲座网
数据采集: 2020-11-22:yxd
最后编审: 2020-11-22:yxd
阅读次数: 142