Integrating domain-independent strategies into an emotionally sound affective framework for an intelligent learning environment

Mohd Zaliman Mohd Yusoff, Benedict Du Boulay

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

This paper presents a framework that integrates domain-independent strategies into an emotionally sound affective (ESA) framework for an intelligent learning environment. The integration is an extension to current affective learning frameworks that consider only domaindependent strategies to help student manage their emotional or affective states. It is hypothesised by helping students to manage their emotional or affective states, and hence, improve their performance in learning will improve.

Original languageEnglish
Pages114-117
Number of pages4
Publication statusPublished - 01 Dec 2005
EventAISB'05 Convention: Social Intelligence and Interaction in Animals, Robots and Agents - Symposium on Agents that Want and Like: Motivational and Emotional Roots of Cognition and Action - Hatfield, United Kingdom
Duration: 12 Apr 200515 Apr 2005

Other

OtherAISB'05 Convention: Social Intelligence and Interaction in Animals, Robots and Agents - Symposium on Agents that Want and Like: Motivational and Emotional Roots of Cognition and Action
CountryUnited Kingdom
CityHatfield
Period12/04/0515/04/05

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Human-Computer Interaction

Cite this

Mohd Yusoff, M. Z., & Du Boulay, B. (2005). Integrating domain-independent strategies into an emotionally sound affective framework for an intelligent learning environment. 114-117. Paper presented at AISB'05 Convention: Social Intelligence and Interaction in Animals, Robots and Agents - Symposium on Agents that Want and Like: Motivational and Emotional Roots of Cognition and Action, Hatfield, United Kingdom.