Use of Machine Learning Techniques in Virtual Learning Environments: Evaluation of Recommendation and Notification Algorithms

被引：0

作者：

Gomes de Gusmao, Cristine Martins ^{[1
]}

Ribeiro Paulino Silva, Douglas Tavares ^{[1
]}

Lins, Rodrigo Cavalcanti ^{[1
]}

Machiavelli, Josiane Lemos ^{[1
]}

机构：

[1] Univ Fed Pernambuco UFPE, SABER Tecnol Educ & Sociais, Recife, PE, Brazil

来源：

2018 XIII LATIN AMERICAN CONFERENCE ON LEARNING TECHNOLOGIES (LACLO 2018) | 2019年

关键词：

VLE; Machine Learning Recommendation;

D O I：

10.1109/LACLO.2018.00039

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper aims to present solutions to Virtual Learning Environment (VLE) using techniques of Machine Learning (ML). In the research about Distance Education (DE), in spite of having a expressive growth in the last years it was found that the students don't realize the proposed activities by instructors/tutors/teachers, and one of the main reasons is the lack of interest from the student whether by subject or the system itself is not so attractive. An alternative is motivated the students interest on DE courses, so that they, attend, learn throughout the course consequently improve their performance and interest.

引用

页码：142 / 148

页数：7

共 50 条

[1] G-Learn: A Graph Machine Learning Content Recommendation System for Virtual Learning Environments
Damasceno, Hugo Firmino
Rocha, Leonardo Sampaio
Serra, Antonio de Barros
ARTIFICIAL INTELLIGENCE IN EDUCATION: POSTERS AND LATE BREAKING RESULTS, WORKSHOPS AND TUTORIALS, INDUSTRY AND INNOVATION TRACKS, PRACTITIONERS, DOCTORAL CONSORTIUM AND BLUE SKY, AIED 2024, 2024, 2151 : 20 - 28
[2] Early prediction of student engagement in virtual learning environments using machine learning techniques
Raj, Nisha S.
Renumol, V. G.
E-LEARNING AND DIGITAL MEDIA, 2022, 19 (06) : 537 - 554
[3] Comparisons of machine learning algorithms for music recommendation
Zhang, H. F.
Hong, Y.
Qiu, J. L.
Gu, L. P.
BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 126 : 13 - 13
[4] An Assessment of Machine Learning Techniques for Review Recommendation
O'Mahony, Michael P.
Cunningham, Padraig
Smyth, Barry
ARTIFICIAL INTELLIGENCE AND COGNITIVE SCIENCE, 2010, 6206 : 241 - +
[5] Prostate Cancer Biopsy Recommendation through Use of Machine Learning Classification Techniques
Del Grossi, Andre A.
de Mattos Senefonte, Helen C.
Quaglio, Vinicius G.
ADVANCES IN ARTIFICIAL INTELLIGENCE (IBERAMIA 2014), 2014, 8864 : 710 - 721
[6] Performance Assessment of Various Machine Learning Algorithms in Recommendation
Ranjan, Siddharth
Pandey, Trilok Nath
Dash, Bibhuti Bhusan
Mishra, Manoj Ranjan
De, Utpal Chandra
Patra, Sudhansu Shekhar
2024 SECOND INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTING AND INFORMATICS, ICICI 2024, 2024, : 292 - 297
[7] The Use of Machine Learning Algorithms in the Evaluation of the Effectiveness of Resynchronization Therapy
Krzowski, Bartosz
Rokicki, Jakub
Glowczynska, Renata
Fajkis-Zajaczkowska, Nikola
Barczewska, Katarzyna
Masior, Mariusz
Grabowski, Marcin
Balsam, Pawel
JOURNAL OF CARDIOVASCULAR DEVELOPMENT AND DISEASE, 2022, 9 (01)
[8] Evaluation of Machine Learning Classification Algorithms & Missing Data Imputation Techniques
Nwulu, Nnamdi I.
2017 INTERNATIONAL ARTIFICIAL INTELLIGENCE AND DATA PROCESSING SYMPOSIUM (IDAP), 2017,
[9] The use of 'exploratory learning' for supporting immersive learning in virtual environments
de Freitas, Sara
Neumann, Tim
COMPUTERS & EDUCATION, 2009, 52 (02) : 343 - 352
[10] Learning Objects and Virtual Learning Environments Technical Evaluation Criteria
Kurilovas, Eugenijus
Dagiene, Valentina
ELECTRONIC JOURNAL OF E-LEARNING, 2009, 7 (02): : 127 - 136

← 1 2 3 4 5 →