The impact of teacher instructional emotions on student academic emotions, and motivational involvement

Van Kien Pham et al.

International Journal of Knowledge and Learning2025https://doi.org/10.1504/ijkl.2025.148768article
AJG 1ABDC C
Weight
0.50

What the paper says

This study constructs a teacher instructional emotions two-level confirmatory factor analysis model to explore the classification framework of teacher instructional emotions and constructs a relationship model between instructional emotions, academic emotions, and motivational involvement to analyse the relationship between instructional emotions, academic emotions, and motivation involvement. This study selects two groups of 1,083 students as samples and analyses them using SEM. The results show that: 1) the instructional emotions two-level confirmatory factor analysis model and the relationship model between instructional emotions, academic emotions, and motivational involvement constructed both fit with the observed data; 2) positive instructional emotions positively predict positive academic emotions of students; negative instructional emotions positively predict negative academic emotions of students; 3) positive academic emotions of students positively predict adaptive motivational involvement and negative academic emotions of students positively predict maladaptive motivational involvement. Based on the findings, this study discusses and proposes future recommendations.

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https://doi.org/https://doi.org/10.1504/ijkl.2025.148768

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@article{van2025,
  title        = {{The impact of teacher instructional emotions on student academic emotions, and motivational involvement}},
  author       = {Van Kien Pham et al.},
  journal      = {International Journal of Knowledge and Learning},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijkl.2025.148768},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.