A Sentinel-Based Peer Assessment Mechanism for Collaborative Learning
作者机构：Sichuan Police CollegeLuzhou646000China Sichuan Normal UniversityChengdu610068China University of TasmaniaSandy BayTAS7001Australia
出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)
年 卷 期：2020年第65卷第12期
页 面：2309-2319页
核心收录：
学科分类：0502[文学-外国语言文学] 050201[文学-英语语言文学] 05[文学]
基 金：sponsored by the National Natural Science Foundation of China(61602331) the Opening Foundation for the Key Laboratory of Sichuan Province(NDSMS201606)
主 题：Smart education peer assessment collaborative learning
摘 要：This paper introduces a novel mechanism to improve the performance of peer assessment for collaborative ***,a small set of assignments which have being pre-scored by the teacher impartially,are introduced as“sentinels.The reliability of a reviewer can be estimated by the deviation between the sentinels’scores judged by the reviewers and the impartial *** filtering the inferior reviewers by the reliability,each score can then be subjected into mean value correction and standard deviation correction processes *** the optimized mutual score which mitigated the influence of the subjective differences of the reviewers are *** perform our experiments on 200 *** are asked to submit their assignments and review each *** the experiments,the sentinel-based mechanism is compared with several other baseline *** proves that the proposed mechanism can effectively improve the accuracy of peer assessment,and promote the development of collaborative learning.
维普期刊数据库