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Paper ID:IJSREM62727

Teachers’ Satisfaction with Online Teaching and Its Impact on Student Engagement and Learning Outcomes: Evidence from Private Schools

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM62727

Volume:

10 |

5 |

May 2026

Pages:

1--

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM62727

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Vijay Upadhyay

Vijay Upadhyay

Management

St. Xavier's University , Kolkata

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Dr. Banhi Guha

Dr. Banhi Guha

Management

St. Xavier's University , Kolkata

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Abstract

The rapid transition to online teaching has fundamentally transformed instructional practices in school education systems worldwide. This study examines the influence of teachers’ satisfaction with online teaching on student engagement and learning outcomes in private senior secondary schools. Drawing upon the Technology Acceptance Model (Davis, 1989) and Job Satisfaction Theory (Schaufeli, 2017), the study develops and empirically validates a structural model using Structural Equation Modeling (SEM). Data were collected from 250 teachers across private schools in Kolkata and Howrah districts of West Bengal. The findings reveal that teacher satisfaction significantly predicts student engagement, which in turn positively influences learning outcomes (Fredricks et al., 2004; Martin & Bolliger, 2018). Institutional support and digital competency are identified as critical antecedents of teacher satisfaction (König et al., 2020; Dhawan, 2020). Furthermore, student engagement is found to mediate the relationship between teacher satisfaction and learning outcomes. The study contributes to the literature by integrating teacher-centric and student-centric constructs into a unified analytical framework and offers practical implications for educational leadership, teacher training, and policy formulation in digital education.

KEYWORDS

Structural Equation Modeling (SEM).

Cite This Article

Vijay Upadhyay, Dr. Banhi Guha, "Teachers’ Satisfaction with Online Teaching and Its Impact on Student Engagement and Learning Outcomes: Evidence from Private Schools," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1--, May 2026. https://doi.org/10.55041/IJSREM62727

Full Article/Conclusion

This study establishes a strong relationship between teacher satisfaction, student engagement, and learning outcomes. The findings provide important implications for improving the quality of online education. This study makes a significant theoretical contribution by extending the Technology Acceptance Model (Davis, 1989) beyond its traditional focus on technology adoption to incorporate teacher satisfaction and student engagement within a unified analytical framework. While prior research has predominantly examined perceived usefulness and ease of use as determinants of technology acceptance (Venkatesh et al., 2003), the present study advances the literature by demonstrating that technology acceptance alone is insufficient to explain instructional effectiveness in online education. By integrating Job Satisfaction Theory (Schaufeli, 2017) with engagement theory (Fredricks et al., 2004), this study develops a multi-layered conceptual model that captures both teacher-centric (satisfaction, competency, institutional support) and student-centric (engagement, learning outcomes) dimensions. This integrated approach addresses a critical gap in the literature, where existing studies tend to examine these constructs in isolation. Furthermore, the study contributes to the growing body of research on digital education by positioning student engagement as a mediating variable, thereby providing a deeper understanding of the mechanism through which teacher satisfaction influences learning outcomes. This mediational perspective adds conceptual clarity and enhances the explanatory power of existing models.

References

1.                Davis, F. D. (1989). Perceived usefulness... MIS Quarterly. https://doi.org/10.2307/249008 2.                Venkatesh, V., et al. (2003). User acceptance of IT. MIS Quarterly. https://doi.org/10.2307/30036540 3.                Schaufeli, W. B. (2017). Applying JD-R model. https://doi.org/10.3389/fpsyg.2017.01008 4.                Fredricks, J. A., et al. (2004). School engagement. https://doi.org/10.1207/s15326985ep3901_4 5.                Sun, A., & Chen, X. (2016). Online education effectiveness. https://doi.org/10.1016/j.ijedudev.2016.01.001 6.                Hodges, C., et al. (2020). Emergency remote teaching. https://doi.org/10.1007/s11528-020-00460-0 7.                Dhawan, S. (2020). Online learning review. https://doi.org/10.1177/0047239520934018 8.                Bao, W. (2020). Online teaching strategies. https://doi.org/10.1007/s10639-020-10121-7 9.                König, J., et al. (2020). Teachers’ readiness. https://doi.org/10.1016/j.tate.2020.103015

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Publication Date

5/7/2026

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Double-Blind Peer Review

Review Rounds: 2

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