Towards Integrating Emotion Management Strategies in Intelligent Tutoring System Used by Children

被引:3
|
作者
Malekzadeh, Mehdi [1 ]
Salim, Siti Salwah [1 ]
Mustafa, Mumtaz Begum [1 ]
机构
[1] Univ Malaya, Fac Comp Sci & Informat Technol, Multimodal Interact Res Lab, Kuala Lumpur, Malaysia
关键词
Emotion; Emotion regulation; Emotion management strategies; Emotion regulation strategy; Emotion coping strategy; Learning; Intelligent tutoring system; Children;
D O I
10.1007/978-3-319-11564-1_5
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Computerised learning much like classic learning is subject to a host of adverse emotions such as boredom, frustration and anxiety. These emotions can cause serious negative impacts on memory and attention, which in turn affect learning achievement. Thus, many researchers strongly agree that intelligent tutoring systems (ITSs) would significantly improve performance if they can adapt to the affective state (emotional state) of the learners. This idea has spawned an important trend in the development of ITSs, which are systems with the ability to regulate a learner's adverse emotions. In the present study, we review six dominant researches that have implemented different emotion management strategies such as coping strategies and emotion regulation strategies in an intelligent tutoring system. Then, we concisely discuss the results of the best practice that applies emotion regulation strategies to schoolchildren, without using an ITS. The results show that applying emotion management strategies during computerised or non-computerised learning produces more optimistic emotions as well as better learning gain.
引用
收藏
页码:41 / 50
页数:10
相关论文
共 50 条
  • [41] Towards an intelligent tutoring system for situation awareness training in complex, dynamic environments
    Bass, EJ
    INTELLIGENT TUTORING SYSTEMS, 1998, 1452 : 26 - 35
  • [42] Intelligent Management System Used for Open Lab
    Wu Liang
    Tao Ran
    Zou Zhihong
    Wu Wenhua
    PROCEEDINGS OF 2012 7TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION, VOLS I-VI, 2012, : 1160 - 1163
  • [44] Intelligent Checkpointing Strategies for IoT System Management
    Aissaoui, Francois
    Cooperman, Gene
    Monteil, Thierry
    Tazi, Said
    2017 IEEE 5TH INTERNATIONAL CONFERENCE ON FUTURE INTERNET OF THINGS AND CLOUD (FICLOUD 2017), 2017, : 305 - 312
  • [45] FUZZY FIT INDEX TUTORING SYSTEM (FFITS) - AN INTELLIGENT SYSTEM FOR INTERPRETING AND INTEGRATING COVARIANCE STRUCTURE MODELING SOLUTIONS
    CRAIGER, JP
    COOVERT, MD
    APPLIED PSYCHOLOGICAL MEASUREMENT, 1991, 15 (03) : 292 - 292
  • [46] EMO-Learning: Towards an intelligent tutoring system to assess online students' emotions
    Lopez, Belen
    Arcas-Tunez, Francisco
    Cantabella, Magdalena
    Terroso-Saenz, Fernando
    Curado, Manuel
    Munoz, Andres
    2022 18TH INTERNATIONAL CONFERENCE ON INTELLIGENT ENVIRONMENTS (IE), 2022,
  • [47] Performance of laboratory experiments over the Internet: towards an Intelligent Tutoring System on Automatic Control
    Prekas, Kleanthis
    Rangoussi, Maria
    Vassiliadis, Savvas
    Prekas, George
    PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 2, 2005, 2 : 238 - 241
  • [48] University students' achievement goals and help-seeking strategies in an intelligent tutoring system
    Vaessen, Bram E.
    Prins, Frans J.
    Jeuring, Johan
    COMPUTERS & EDUCATION, 2014, 72 : 196 - 208
  • [49] An intelligent tutoring system for construction and real estate management master degree studies
    Kaklauskas, Arturas
    Zavadskas, Edmundas
    Ditkevicius, Ruslanas
    COOPERATIVE DESIGN, VISUALIZATION, AND ENGINEERING, PROCEEDINGS, 2006, 4101 : 174 - 181
  • [50] An Adaptive, Structure-Aware Intelligent Tutoring System for Learning Management Systems
    Kucharski, Sebastian
    Braun, Iris
    Kubica, Tommy
    2023 IEEE INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES, ICALT, 2023, : 367 - 369