基于机器学习的学生学习伙伴推荐平台设计  

Design of Student Learning Partner Recommendation Platform Based on Machine Learning

作　　者：吕婷 朱正月[1] 余沛文 Lyu Ting;Zhu Zhengyue;Yu Peiwen(Anhui Vocational College of Electronic&Information Technology,Bengbu 233000,China;College of Software,Jilin University,Changchun130000,China)

机构地区：[1]安徽电子信息职业技术学院,安徽蚌埠233000 [2]吉林大学软件学院,吉林长春130000

出　　处：《安徽电子信息职业技术学院学报》2022年第6期7-11,共5页Journal of Anhui Vocational College of Electronics & Information Technology

基　　金：2021年度安徽电子信息职业技术学院自然科学项目“基于协同过滤的学习伙伴和个性化学习资源推荐研究”(AHDZZK04)。

摘　　要：在线教育面临着时空分离、“独学而无友”以及学生学习自制力不足等诸多不利因素。文章提出构建基于机器学习的学生学习伙伴推荐平台,通过该平台采集体现学生个性化学习特征的数据,建立数据集,设计和运用KNN算法,最终帮助学生找到学习伙伴。平台的建立,为高校教师更好的因材施教提供了有效参考,具有很好的应用前景和推广价值。Online education is faced with many unfavorable factors,such as the separation of time and space,"learning alone without friends"and students'lack of self-control in learning.This paper proposes to build a student learning partner recommendation platform based on machine learning,through which students'personalized learning characteristics are collected,data sets are established,and KNN algorithm is designed and used to help students find learning partners.The establishment of the platform provides an effective reference for college teachers to teach students in accordance with their aptitude,and has a good application prospect and promotion value.

关 键 词：机器学习 KNN算法 学习伙伴推荐 推荐平台设计 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]