Towards an Adaption and Personalisation Solution Based on Multi Agent System Applied on Serious Games - Artificial Intelligence Applications and Innovations Access content directly
Conference Papers Year : 2019

Towards an Adaption and Personalisation Solution Based on Multi Agent System Applied on Serious Games

Spyridon Blatsios
  • Function : Author
  • PersonId : 1056785
Ioannis Refanidis
  • Function : Author
  • PersonId : 1056786

Abstract

Serious games (SG) have the potential to become one of the most important future e-learning tools. The use of SG in education is a large deviation from the common education standards, which usually are based on mass systems of instruction, assessment, grading and reporting students’ knowledge and skills. SG encourage self‐directness and independency of student, thus providing a framework for self-learning activities. However, the benefits of using SG as a learning tool are maximized in a personalised and adaptive environment. Although it has been suggested in the past that SG can take advantage of Artificial Intelligence (AI) methods for automated adaptation to the learner, there is not so much research in the field.Taking the above into consideration, this paper aims to provide a framework on adaptive and personalised SG using AI methods. The advances in technology have made it possible to trace and collect user generated data that we can use to capture essentially players’ in-game behaviours and trace knowledge or skills acquired from the player during playing. This will actually be a two-step process, “User Identification” and “Content Adaptation” to learners’ needs. In the proposed methodology “User Identification” will be implemented from data derived from “User Behaviour” and “System Feedback”. That data will feed a Learner Agent supported by an Adaption and Personalisation engine, which will interact with both the “Instructional Content” and “Game Characteristics” in order to achieve the desired adaption. This paper will be used as a basis for further development of an adaptive and personalised SG.
Fichier principal
Vignette du fichier
483292_1_En_49_Chapter.pdf (418.47 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02331307 , version 1 (24-10-2019)

Licence

Attribution

Identifiers

Cite

Spyridon Blatsios, Ioannis Refanidis. Towards an Adaption and Personalisation Solution Based on Multi Agent System Applied on Serious Games. 15th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), May 2019, Hersonissos, Greece. pp.584-594, ⟨10.1007/978-3-030-19823-7_49⟩. ⟨hal-02331307⟩
48 View
38 Download

Altmetric

Share

Gmail Facebook X LinkedIn More