Conversational Analysis to Recommend Collaborative Learning in Distance Education

被引：0

作者：

Moraes Neto, Antonio J. ^{[1
]}

Fernandes, Marcia ^{[2
]}

Amiel, Tel ^{[3
]}

机构：

[1] Fed Inst Brasilia IFB, Brasilia, DF, Brazil

[2] Fed Univ Uberlandia UFU, Comp Sci Grad Program, Uberlandia, MG, Brazil

[3] Univ Brasilia UnB, Educ Grad Program, Brasilia, DF, Brazil

来源：

CSEDU: PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED EDUCATION - VOL 2 | 2022年

关键词：

Conversational Agent; Computer-supported Collaborative Learning; Collaborative Learning Assessment; Artificial Intelligence in Education; Educational Technology;

D O I：

10.5220/0011092600003182

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Conversational agents can recommend interactions among students in a Virtual Learning Environment (VLE) for the purpose of supporting collaborative learning, an important approach to improve online education. This paper describes the current position of a research that addresses the implementation of Conversational Analysis (CA) in order to make recommendations through chatbots for promoting collaborative learning among students in a VLE. Based on an experiment, the authors propose a CA strategy to determine the level of collaboration among students, point out possibilities for chatbot's intervention in favor of collaborative learning, and present the results obtained in the current stage of the research.

引用

页码：196 / 203

页数：8

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