Advertisement

What is Affective Learning?

  • Wen-Yen WangEmail author
  • Ling-Chin Ko
  • Yueh-Min Huang
  • Yao-Ren Liu
  • Shen-Mao Lin
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 260)

Abstract

Affective computing can be used to evaluate human psychological reactions after using affective equipment. And, learners produce intrinsic and extrinsic affective reactions in the learning process called as affective learning. However, some work evaluates affective learning through non-computing method as compared to computing one. Based on the survey, this work demonstrates two examples that used different methods to evaluate affective learning. In addition, the characteristics of the methods have been discussed and explored to understand affective learning further.

Keywords

Affective computing Affection 

References

  1. 1.
    Picard R, Papert S, Bender W, Blumberg B, Breazeal C, Cavallo D et al (2004) Affective learning: a manifesto. BT Technol J 22(4):253–269CrossRefGoogle Scholar
  2. 2.
    Becker-Asano C, Wachsmuth I (2010) Affective computing with primary and secondary emotions in a virtual human. Auton Agent Multi-Agent Syst 20(1):32–49CrossRefGoogle Scholar
  3. 3.
    Bahreini K, Nadolski R, Westera W (2012) FILTWAM-a framework for online affective computing in serious games. Procedia Comput Sci 15:45–52CrossRefGoogle Scholar
  4. 4.
    Thompson N, McGill TJ (2012) Affective tutoring systems: enhancing e-learning with the emotional awareness of a human tutor. Int J Inf Commun Technol Educ 8(4):75–89CrossRefGoogle Scholar
  5. 5.
    Guhe M, Gray WD, Schoelles MJ, Liao W, Zhu Z, Ji Q (2005) Non-intrusive measurement of workload in real-time. In: Proceedings of the human factors and ergonomics society annual meeting, 2005. SAGE Publications, pp 1157–1161Google Scholar
  6. 6.
    MacLean EL, Matthews LJ, Hare BA, Nunn CL, Anderson RC, Aureli F et al (2012) How does cognition evolve? phylogenetic comparative psychology. Anim Cogn 15(2):223–238CrossRefGoogle Scholar
  7. 7.
    Anderson LW, Krathwohl DR, Airiasian W, Cruikshank K, Mayer R, Pintrich P (2001) A taxonomy for learning, teaching and assessing: a revision of Bloom’s taxonomy of educational outcomes, Complete edition. Longman, New YorkGoogle Scholar
  8. 8.
    Kwok R, Cheng SH, Ho-Shing Ip H, Kong J (2011) Design of affectively evocative smart ambient media for learning. Comput Educ 56(1):101–111CrossRefGoogle Scholar
  9. 9.
    Krathwohl DR, Bloom BS, Masia BB (1964) II: handbook II: affective domain. David McKay, New YorkGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Wen-Yen Wang
    • 1
    Email author
  • Ling-Chin Ko
    • 2
  • Yueh-Min Huang
    • 3
  • Yao-Ren Liu
    • 1
  • Shen-Mao Lin
    • 1
  1. 1.Department of Information EngineeringKun Shan UniversityTainan cityTaiwan, Republic of China
  2. 2.Information and CommunicationKun Shan UniversityTainan cityTaiwan, Republic of China
  3. 3.Department of Engineering ScienceNational Cheng Kung UniversityTainan cityTaiwan, Republic of China

Personalised recommendations