The recommendation mechanism for social learning environment

被引:5
|
作者
Weng, Martin M. [1 ]
Hung, Jason C. [2 ]
Weng, Jing-De [3 ]
Shih, Timothy K. [4 ]
机构
[1] Tamkang Univ, Dept Comp Sci & Informat Engn, New Taipei, Taiwan
[2] Overseas Chinese Univ, Dept Informat Technol, Taichung, Taiwan
[3] Yang En Univ, Coll Management, Quanzhou City, Peoples R China
[4] Natl Cent Univ, Dept Comp Sci & Informat Engn, Zhongli City, Taiwan
关键词
social learning; OpenCourseWare; recommendation system;
D O I
10.1504/IJCSE.2016.078931
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Although traditional e-learning has limitations of time and space, 'OpenCourseWare' further breaks through the limitations of classrooms and schools. It has given rise to a trend of online schools, with several famous universities even willing to provide credit on OpenCourseWare. However, because of the lack of help from teachers directly by online learning, it is very important for students to receive more suitable learning content for them. Other important issues include how the learning communities formed in this environment can aid in students' learning activities and how to design interactive learning mechanisms for social learning. In this research, we integrate an e-learning system with an existing social networking site, aiming to bring the power of social networks to an OpenCourseWare environment. Further, we analyse learning portfolios according to the social relationships created on social networking sites. This method provides recommendations for social learning, which can help students to choose suitable courses and engage in interactive discussion with other students.
引用
收藏
页码:246 / 257
页数:12
相关论文
共 50 条
  • [1] Integrating Social Environment in Machine Learning Model for Debiased Recommendation
    Zhang, Yihong
    Yao, Lina
    Hara, Takahiro
    [J]. MOBILE AND UBIQUITOUS SYSTEMS: COMPUTING, NETWORKING AND SERVICES, MOBIQUITOUS 2023, PT II, 2024, 594 : 219 - 230
  • [2] A Social Recommendation Mechanism for Crowdfunding
    Li, Yung-Ming
    Liou, Jyh-Hwa
    Li, Yi-Wen
    [J]. BUSINESS INFORMATION SYSTEMS WORKSHOPS, BIS 2017, 2017, 303 : 18 - 25
  • [3] Design of Attention-based Recommendation Learning Mechanism in the Cloud Computing Environment
    Chen, Hong-Ren
    Chen, Ju-Hong
    [J]. 15TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT 2015), 2015, : 456 - 457
  • [4] Design of Ontology-Based Sharing Mechanism for Web Services Recommendation Learning Environment
    Chen, Hong-Ren
    [J]. ADVANCED RESEARCH ON ELECTRONIC COMMERCE, WEB APPLICATION, AND COMMUNICATION, PT 2, 2011, 144 : 414 - 419
  • [5] Effective mechanism for social recommendation of news
    Wei, Dong
    Zhou, Tao
    Cimini, Giulio
    Wu, Pei
    Liu, Weiping
    Zhang, Yi-Cheng
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2011, 390 (11) : 2117 - 2126
  • [6] A social mechanism for healthcare consulting recommendation
    Lin, Lien-Fa
    Li, Yung-Ming
    Li, Jia-Ling
    Chiang, Wan-Chi
    [J]. INFORMATION SYSTEMS, 2023, 116
  • [7] Contrastive Graph Learning for Social Recommendation
    Zhang, Yongshuai
    Huang, Jiajin
    Li, Mi
    Yang, Jian
    [J]. FRONTIERS IN PHYSICS, 2022, 10
  • [8] Hyperbolic Graph Learning for Social Recommendation
    Yang Y.
    Wu L.
    Zhang K.
    Hong R.
    Zhou H.
    Zhang Z.
    Zhou J.
    Wang M.
    [J]. IEEE Transactions on Knowledge and Data Engineering, 2024, 36 (12) : 1 - 14
  • [9] Disentangled Contrastive Learning for Social Recommendation
    Wu, Jiahao
    Fan, Wenqi
    Chen, Jingfan
    Liu, Shengcai
    Li, Qing
    Tang, Ke
    [J]. PROCEEDINGS OF THE 31ST ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2022, 2022, : 4570 - 4574
  • [10] A Multicontext-aware Resource Recommendation Mechanism for Service-oriented Ubiquitous Learning Environment
    Luo, Junzhou
    Dong, Fang
    Cao, Jiuxin
    Song, Aibo
    Liu, Bo
    [J]. 2008 3RD INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND APPLICATIONS, VOLS 1 AND 2, 2008, : 794 - 799