Influence of Student–Teacher Interrelationship on Academic Achievements: A Logit Model

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Smart Trends in Computing and Communications

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 396))

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Abstract

The main concentration in the present work is given to identify the effect of the student–teacher relationship on the academic achievement of university students. For this purpose, data is collected from 292 students of various universities situated in Jaipur, India. The survey was conducted from January 2018 to April 2018. A questionnaire of 36 questions was filled by all respondents enthusiastically, out of which six questions are demographic. Responses have been collected on a five-point Likert scale. In the sample, 55.5% male and 44.5% students are included with 28.1% day-boarding and 71.9% hosteller students. Maximum 52.7% of students belong to the third year, and a minimum of 2.1% students are included from fourth year from various branches like engineering, science, arts and management. The reliability of the questionnaire was checked by Cronbach’s Alpha, and logistic regression analysis is performed. Two logistic regression models are developed concerning gender and locality of students, and odd ratios are identified. Finally, it is recommended that findings can be used to enhance the academic achievements of the students.

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Correspondence to Ashish Kumar .

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Saini, M., Choudhary, A., Kumar, A. (2023). Influence of Student–Teacher Interrelationship on Academic Achievements: A Logit Model. In: Zhang, YD., Senjyu, T., So-In, C., Joshi, A. (eds) Smart Trends in Computing and Communications. Lecture Notes in Networks and Systems, vol 396. Springer, Singapore. https://doi.org/10.1007/978-981-16-9967-2_67

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  • DOI: https://doi.org/10.1007/978-981-16-9967-2_67

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