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HowsLearning: A Learning State Classification Approach in Intelligent Education

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Recent Developments in Intelligent Computing, Communication and Devices

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 752))

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Abstract

Learner’s learning states can be revealed from their spontaneous expressions while learning. The ubiquitous laptop camera is capable to provide learner’s facial image sequences. The combination of ubiquitous image perception and image processing technology can effectively compensate for the lack of feedback from learners on learning content in intelligent education. Therefore, this paper presents an affective state analysis algorithm, HowsLearning, and establishes the expression dataset in the actual teaching scene. On this dataset, the classification algorithm is verified. Experiments show that accuracy tested on real-world collected data reaches an acceptable level.

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Author information

Authors and Affiliations

  1. School of Software, Shanghai Jiao Tong University, Shanghai, China

    Dezhi Jiang

Authors
  1. Dezhi Jiang
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Correspondence to Dezhi Jiang .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Faculty of Engineering and Technology, SOA University, Bhubaneswar, India

    Srikanta Patnaik

  2. Victoria Business School, Victoria University of Wellington, Wellington, New Zealand

    Vipul Jain

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Jiang, D. (2019). HowsLearning: A Learning State Classification Approach in Intelligent Education. In: Patnaik, S., Jain, V. (eds) Recent Developments in Intelligent Computing, Communication and Devices. Advances in Intelligent Systems and Computing, vol 752. Springer, Singapore. https://doi.org/10.1007/978-981-10-8944-2_43

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