Mediating Collective Discussions Using an Intelligent Argumentation-Based Framework

Autor:	Jean-Paul Barthès, Marco A. Eleuterio, Flávio Bortolozzi
Rok vydání:	2023
Předmět:	Tree (data structure) Knowledge management business.industry Computer science Knowledge economy Short paper Distance education Artificial intelligence business Set (psychology) Knowledge transfer Natural language Argumentation theory
Zdroj:	Computer Support for Collaborative Learning ISBN: 9781315045467 CSCL
Popis:	This paper briefly describes Amanda(1), a framework for mediating collective discussions in distance learning environments. The objective of this framework is to help tutors achieve better results from group discussions and improve knowledge transfer among the participants. The overall idea is to organize the group discussion in an argumentation tree and involve the participants in successive discussion activities. The coordination of the discussion is made by a set of intelligent mechanisms which reason over the discussion and propose new interactions among the participants. Amanda advances the discussion by generating progressive discussion cycles until a desired set of target conditions are observed. At each discussion cycle, the system redistributes discussion tasks among the participants to ensure a desired degree of agreement and participation among them. In this short paper we describe the underlying coordination principles and the use of knowledge models for producing natural language questions.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc6e5356e175922aef964aca2034b663 https://doi.org/10.4324/9781315045467-87 Zobrazit plný text záznamu