Affective Assessment in Learning using Fuzzy Logic

被引:0
|
作者
Ismail, Marina [1 ]
Syaiful, Lusiana [1 ]
机构
[1] Univ Teknol MARA, Fac Comp & Math Sci, Shah Alam, Malaysia
关键词
affective assessment; emotions; fuzzy logic; COGNITIVE MAPS;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Affective assessment is getting attention in education as it relates towards students' emotion in learning. Studies also showed that emotions play a vital role for students during learning session. Currently, there is no specific mechanism to access the affective value during the computer based learning environment. This paper presents the preliminary work done on the elements needed in order to assess the affective value during computer-based learning by incorporating fuzzy logic. A thorough literature has been conducted in order to determine the elements required for affective assessment. In order to apply the fuzzy logic in the assessment it requires elements of affective value, preference questions and suitable assessment rubrics. This finding will help to design and develop a comprehensive affective assessment module. Measuring the students' emotion while learning will enable the teacher/ parents/ learning agent to assist learner to better grasp the lesson learnt.
引用
下载
收藏
页码:98 / 102
页数:5
相关论文
共 50 条
  • [21] Using fuzzy logic for performance evaluation in reinforcement learning
    Berenji, HR
    Khedkar, PS
    INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 1998, 18 (1-2) : 131 - 144
  • [22] Melanoma Diagnosis Using Deep Learning and Fuzzy Logic
    Banerjee, Shubhendu
    Singh, Sumit Kumar
    Chakraborty, Avishek
    Das, Atanu
    Bag, Rajib
    DIAGNOSTICS, 2020, 10 (08)
  • [23] Feedforward control using fuzzy logic learning controller
    Rattan, KS
    Deibel, K
    SMC '97 CONFERENCE PROCEEDINGS - 1997 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5: CONFERENCE THEME: COMPUTATIONAL CYBERNETICS AND SIMULATION, 1997, : 1317 - 1322
  • [24] THE ASSESSMENT OF AFFECTIVE LEARNING
    SHAW, R
    JOURNAL OF THE ROYAL COLLEGE OF GENERAL PRACTITIONERS, 1983, 33 (256): : 756 - 756
  • [25] An Affective Computing and Fuzzy Logic Framework to Recognize Affect for Cloud-based E-Learning Environment Using Emoticons
    Morton, Kyle
    Qu, Yanzhen
    Carroll, Marilyn
    CLOUD COMPUTING AND SECURITY, PT I, 2017, 10602
  • [26] Fuzzy fusion for affective state assessment in distance learning based on image detection
    Hwang, Kuoan
    Yang, Chiahao
    2008 INTERNATIONAL CONFERENCE ON AUDIO, LANGUAGE AND IMAGE PROCESSING, VOLS 1 AND 2, PROCEEDINGS, 2008, : 380 - 384
  • [27] Driver’s black box: a system for driver risk assessment using machine learning and fuzzy logic
    Yuksel, A.S.
    Atmaca, S.
    Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 2021, 25 (05): : 482 - 500
  • [28] Driver's black box: a system for driver risk assessment using machine learning and fuzzy logic
    Yuksel, A. S.
    Atmaca, S.
    JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 25 (05) : 482 - 500
  • [29] Risk assessment of cost overrun using fuzzy logic model
    Alekhya, G. B. S.
    Shashikanth, K.
    Prasad, M. Anjaneya
    MATERIALS TODAY-PROCEEDINGS, 2022, 62 : 1803 - 1810
  • [30] A Rubric Based Assessment of Student Performance Using Fuzzy Logic
    Meenakshi, G.
    Manisharma, V
    PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON SOFT COMPUTING FOR PROBLEM SOLVING (SOCPROS 2012), 2014, 236 : 557 - 563