Title
Challenges in the Development of Affective Collaborative Learning Environment with Artificial Peers.
Abstract
Collaborative learning is a process that involves a group of peers collaborating with the aim to acquire new knowledge or skills. Collaborative learning environment enables such interactions by means of ICT. The paper focuses on affective collaborative learning environments, i.e., collaborative learning environments that are additionally aware of user's emotions and moods. Based on the analysis of existing research, a general architecture of an affective collaborative learning environment has been proposed in the paper and the main challenges for developing such an environment have been identified, namely, nonintrusive and safe detection of user's emotions, the adaptation of tutoring strategies, as well as modelling of artificial peers. This study can be considered the first step for the development of the collaborative learning environment that takes into account various affective aspects during the collaborative learning process.
Year
DOI
Venue
2018
10.2478/acss-2018-0013
APPLIED COMPUTER SYSTEMS
Keywords
Field
DocType
Affective computing,agent-based modelling,collaborative learning environment,tutoring adaptation
Collaborative learning,Systems engineering,Computer science,Information technology,Knowledge management,Affect (psychology),Software development,Project management
Journal
Volume
Issue
ISSN
23
2
2255-8683
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Mara Pudane163.29
Sintija Petrovica252.93
Egons Lavendelis3419.03
Alla Anohina-Naumeca494.58