Use Machine Learning Technologies in E-learning

被引:0
|
作者
Akter, Taslina [1 ]
Sadman, Yeaser [1 ]
Bala, Shatabdee [2 ]
机构
[1] Independent Univ, Dept EEE, Dhaka, Bangladesh
[2] Gono Bishwabidyalay, Dept CSE, Dhaka, Bangladesh
来源
2022 IEEE INTERNATIONAL IOT, ELECTRONICS AND MECHATRONICS CONFERENCE (IEMTRONICS) | 2022年
关键词
E-Learning; Technology Enhanced Learning Environments; Machine Learning; Artificial Intelligence;
D O I
10.1109/IEMTRONICS55184.2022.9795843
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this article, we generated some data as a result of new technologies, the internet, and linked items. Putting these facts into context and structuring them so that they may be perceived, understood, and reflected is critical. Humans had traditionally studied data. As the availability of data grows larger, humans are progressively turning to computerized technologies that can replicate them. Machine learning refers to technologies that can resolve issues by learning from both data and data modifications. Artificial intelligence (AI) has a significant influence on e-learning studies, and machine learning-based methodologies may be used to improve Technology Enhanced Learning Environments (TELEs). This publication provides an outline of relevant study outcomes in this domain. Initially, we'll go over some basic machine learning ideas. Then, we'll go through the significant latest research in the domain of e-learning that uses machine learning.
引用
收藏
页码:996 / 999
页数:4
相关论文
共 50 条
  • [41] Feature Evaluation of Emerging E-Learning Systems Using Machine Learning: An Extensive Survey
    Aslam, Shabnam Mohamed
    Jilani, Abdul Khader
    Sultana, Jabeen
    Almutairi, Laila
    IEEE ACCESS, 2021, 9 : 69573 - 69587
  • [42] A Platform for e-Learning
    Burdescu, Dumitru Dan
    SMART DIGITAL FUTURES 2014, 2014, 262 : 633 - 640
  • [43] The Use of Multimodality Metaphors in E-learning
    Rigas, Dimitrios
    Sallam, Mohamed
    SEPADS'09: PROCEEDINGS OF THE 8TH WSEAS INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SOFTWARE ENGINEERING, PARALLEL AND DISTRIBUTED SYSTEMS, 2009, : 127 - 130
  • [44] A global museum for e-learning use
    Karadimas, Nikolaos V.
    Loumos, Vassili
    Papastamatiou, Nikolaos P.
    21ST EUROPEAN CONFERENCE ON MODELLING AND SIMULATION ECMS 2007: SIMULATIONS IN UNITED EUROPE, 2007, : 92 - +
  • [45] APPLICATION RESEARCH OF SUPPORT VECTOR MACHINE IN E-LEARNING FOR PERSONALITY
    Gong, Wen
    Wang, Wansen
    2011 IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS, 2011, : 638 - 642
  • [46] Living Labs in E-Learning, E-Learning in Living Labs and Living Labs for E-Learning
    Antonova, Albena
    Todorova, Korneliya
    THIRD INTERNATIONAL CONFERENCE ON SOFTWARE, SERVICES AND SEMANTIC TECHNOLOGIES S3T 2011, 2011, 101 : 147 - 154
  • [47] The Performance Evaluation of E-learning During the Emergency Using Machine Learning
    El-Sofany, Hosam F.
    El-Seoud, Samir A.
    TOWARDS A HYBRID, FLEXIBLE AND SOCIALLY ENGAGED HIGHER EDUCATION, VOL 1, ICL 2023, 2024, 899 : 490 - 498
  • [48] E-Learning Recommender System for Learners: A Machine Learning based Approach
    Chaudhary, Kamika
    Gupta, Neena
    INTERNATIONAL JOURNAL OF MATHEMATICAL ENGINEERING AND MANAGEMENT SCIENCES, 2019, 4 (04) : 957 - 967
  • [49] A systematic review: machine learning based recommendation systems for e-learning
    Khanal, Shristi Shakya
    Prasad, P. W. C.
    Alsadoon, Abeer
    Maag, Angelika
    EDUCATION AND INFORMATION TECHNOLOGIES, 2020, 25 (04) : 2635 - 2664
  • [50] A systematic review: machine learning based recommendation systems for e-learning
    Shristi Shakya Khanal
    P.W.C. Prasad
    Abeer Alsadoon
    Angelika Maag
    Education and Information Technologies, 2020, 25 : 2635 - 2664