International journal of emerging technologies in learning (ijet) – eissn: 1863-0383 – vol 17 no 17 (2022)

HIGHLIGHTS

  • who: Ying Gu et al. from the Yangzhou Polytechnic Institute, Yangzhou, China Guangling College of Yangzhou University, Yang Zhou, China have published the paper: International Journal of Emerging Technologies in Learning (iJET) - eISSN: 1863-0383 - Vol 17 No 17 (2022), in the Journal: (JOURNAL)
  • what: To better measure the validity of the model, the GoF index is used to test the goodness of fit of the model . 17, No 17, 2022 Limitations and research prospects Based on the flow experience perspective, this study explores the conditional factors that generate flow experience during online learning and . . .

     

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