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
  • [1] Enhancing Assessment of Students' Knowledge Using Fuzzy Logic in E-Learning
    Bradac, Vladimir
    DIVAI 2014: 10TH INTERNATIONAL SCIENTIFIC CONFERENCE ON DISTANCE LEARNING IN APPLIED INFORMATICS, 2014, : 251 - 261
  • [2] Assessment of affective state in distance learning based on image detection by using fuzzy fusion
    Hwang, Kuo-An
    Yang, Chia-Hao
    KNOWLEDGE-BASED SYSTEMS, 2009, 22 (04) : 256 - 260
  • [3] Attentiveness Assessment in Learning based on Fuzzy Logic Analysis
    Hwang, Kuo-An
    Yang, Chia-Hao
    ISDA 2008: EIGHTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 3, PROCEEDINGS, 2008, : 142 - +
  • [4] Attentiveness assessment in learning based on fuzzy logic analysis
    Hwang, Kuo-An
    Yang, Chia-Hao
    EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (03) : 6261 - 6265
  • [5] Food Quality Assessment Using Fuzzy Logic
    Goel, Pushkar
    Goel, Samiksha
    Bhatia, Shiven
    2015 2ND INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT (INDIACOM), 2015, : 1459 - 1462
  • [6] Malware Capability Assessment using Fuzzy Logic
    Sharma, Arushi
    Gandotra, Ekta
    Bansal, Divya
    Gupta, Deepak
    CYBERNETICS AND SYSTEMS, 2019, 50 (04) : 323 - 338
  • [7] Lightning risk assessment using fuzzy logic
    Gallego, LE
    Duarte, O
    Torres, H
    Vargas, M
    Montaña, J
    Pérez, E
    Herrera, J
    Younes, C
    JOURNAL OF ELECTROSTATICS, 2004, 60 (2-4) : 233 - 239
  • [8] Assessment of the Design for Manufacturability Using Fuzzy Logic
    Matuszek, Jozef
    Seneta, Tomasz
    Moczala, Aleksander
    APPLIED SCIENCES-BASEL, 2020, 10 (11):
  • [9] Landslide susceptibility assessment using fuzzy logic
    Wang, Zhiwang
    Li, Duanyou
    Cheng, Qiuming
    LANDSLIDES AND ENGINEERED SLOPES: FROM THE PAST TO THE FUTURE, VOLS 1 AND 2, 2008, : 1985 - +
  • [10] Propose of Fuzzy Logic-Based Students' Learning Assessment
    Sripan, Rungaroon
    Suksawat, Bandit
    INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2010), 2010, : 414 - 417