Educational Data Mining: Sentiment analysis in a university domain during the pandemic

被引:0
|
作者
Benavides-Morales, Cristina [1 ]
Herrera-Flores, Boris [1 ]
机构
[1] Univ Cent Ecuador, Quito, Ecuador
关键词
automatic text analysis; emergency remote education; COVID; 19;
D O I
暂无
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
The new normality caused by the COVID 19 health emergency forced governments to adopt mandatory isolation rules, the measures modified social interaction in almost all scenarios. In the educational field, educational establishments in general closed their facilities and adopted technological tools to replace the physical classroom, thus inaugurating a period of emergency remote education (Hodges et al., 2020) (Portillo, S., Castellanos, L., Reynoso, O., & Gavotto, O., 2020) (Castaneda and Vargas, 2021). The present investigation analyzes the student perception about the implementation of emergency remote education in the Social Communication Career of the Central University of Ecuador in the academic period 2020 -2020, for which an opinion poll was applied to students. The qualitative instrument collected the opinion, and the corpus was processed in a Python bookstore. In general, a positive assessment of the new educational reality was evidenced, the use of platforms and social networks was highlighted, as well as innovative educational practices in: master classes, experimentation, tutorials and evaluations; Among the negative aspects, the low teacher/student interaction, the lack of didactics in digital environments, and the deepening of the technological gap were questioned.
引用
收藏
页码:217 / 236
页数:20
相关论文
共 50 条
  • [41] Descriptive Statistical Analysis in the Process of Educational Data Mining
    Dimic, Gabrijela
    Rancic, Dejan
    Pronic-Rancic, Olivera
    Spalevic, Petar
    2019 14TH INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES, SYSTEMS AND SERVICES IN TELECOMMUNICATIONS (TELSIKS 2019), 2019, : 388 - 391
  • [42] Opinion Mining and Sentiment Analysis
    Argamon, Shlomo
    COMPUTATIONAL LINGUISTICS, 2009, 35 (02) : 311 - 312
  • [43] Opinion mining and sentiment analysis
    Yahoo Research, 701 First Avenue, Sunnyvale, CA 94089, United States
    不详
    Found. Trends Inf. Retr., 2008, 1-2 (1-135):
  • [44] Sentiment Analysis and Opinion Mining
    Beaudouin, Valerie
    TRAITEMENT AUTOMATIQUE DES LANGUES, 2012, 53 (02): : 207 - 209
  • [45] Sentiment analysis and opinion mining
    Liu, Bing, 1600, Morgan and Claypool Publishers (05):
  • [46] Opinion Mining and Sentiment Analysis
    Leenhardt, Marguerite
    TRAITEMENT AUTOMATIQUE DES LANGUES, 2009, 50 (01): : 336 - 339
  • [47] Sentiment analysis for mining texts and social networks data: Methods and tools
    Zucco, Chiara
    Calabrese, Barbara
    Agapito, Giuseppe
    Guzzi, Pietro H.
    Cannataro, Mario
    WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2020, 10 (01)
  • [48] Opinion Mining on Social Media Data: Sentiment Analysis of User Preferences
    Pavaloaia, Vasile-Daniel
    Teodor, Elena-Madalina
    Fotache, Doina
    Danilet, Magdalena
    SUSTAINABILITY, 2019, 11 (16)
  • [49] Mining netizen's opinion on cryptocurrency: sentiment analysis of Twitter data
    Hassan, M. Kabir
    Hudaefi, Fahmi Ali
    Caraka, Rezzy Eko
    STUDIES IN ECONOMICS AND FINANCE, 2022, 39 (03) : 365 - 385
  • [50] Prediction of Sentiment Analysis on Educational Data based on Deep Learning Approach
    Sultana, Jabeen
    Sultana, Nasreen
    Yadav, Kusum
    AlFayez, Fayez
    2018 21ST SAUDI COMPUTER SOCIETY NATIONAL COMPUTER CONFERENCE (NCC), 2018,