A study of learning attitude and motivation under different learning object recommendation strategies from learning style perceptive

Jingyun Wang, Takahiko Mendori

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we investigate, the learning attitude, motivation and learning perceptions (including the Satisfaction for learning mode, technology acceptance, mental effort and mental load) of two groups of learners who studied with two different modes of a learning support systems. Group A of 31 students studied with Open Mode which provides learners with both visual and verbal learning objects while group B of 34 students studied with Style-Matching Mode which provides visual learners with only visual learning objects and verbal learners with only verbal learning objects. The learning attitude, motivation, and learning perceptions of these two groups are investigated and analyzed from learning style perspective.

Original languageEnglish
Title of host publicationProceedings of the 23rd International Conference on Computers in Education, ICCE 2015
EditorsYu-Ju Lan, Hsin-Yih Shyu, Chengjiu Yin, Hiroaki Ogata, Wenli Chen, Ming-Fong Jan, Sahana Murthy, Ying-Tien Wu, Siu Cheung Kong, Xiaoqing Gu, Beaumie Kim, Yongwu Miao, Niwat Srisawasdi, Yuping Wang, Chiu-Pin Lin, Carol H.C. Chu, Jari Laru, Miguel Nussbaum, Ma. Mercedes T. Rodrigo, Ju-Ling Shih, Amali Weerasinghe, Weiqin Chen, Feiyue Qiu, Vania Dimitrova, Ching-Kun Hsu, Lung-Hsiang Wong, Maiga Chang, Tore Hoel, Yen-Hui Audrey Li, Jon Mason, Hitoshi Sasaki, Li Zhang
PublisherAsia-Pacific Society for Computers in Education
Pages56-61
Number of pages6
ISBN (Electronic)9784990801458
Publication statusPublished - Jan 1 2015
Event23rd International Conference on Computers in Education, ICCE 2015 - Hangzhou, China
Duration: Nov 30 2015Dec 4 2015

Publication series

NameProceedings of the 23rd International Conference on Computers in Education, ICCE 2015

Other

Other23rd International Conference on Computers in Education, ICCE 2015
CountryChina
CityHangzhou
Period11/30/1512/4/15

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Human-Computer Interaction
  • Education

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