Understanding Resilience: An Analytical Study of Adversity Quotient Levels Among Higher Secondary Learners in Gujarat State
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2026.17.1.10Keywords:
Leadership Resilience, Academic Resilience, Professional Adaptability, Mentoring Effectiveness, Guidance Orientation, Reflective Practice, Gujarat State Board of EducationDimensions Badge
Issue
Section
License
Copyright (c) 2026 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Adversity Quotient examines individuals’ resilience in the face of challenges. Resilience is the ability to handle stress, problems, trauma, or tragedy positively. Even when things are crazy, it means staying stable and taking care of your mental and physical health. The adversity quotient builds on our natural ability to learn and change, which is a very useful skill. Recent research has shown that the adversity quotient can be greatly improved, permanently changed, and made stronger.Abstract
The concept of adversity quotient originates from three disciplines: cognitive psychology, psycho-neuroimmunology, and neurophysiology. To increase one’s adversity quotient, a person must want what they don’t have or make things better. This desire is what motivates them. David McClelland’s investigation into achievement motivation concluded that the need for achievement is a distinct human motive. Achievement motivation can be defined as the aspiration for success or the quest for excellence. There are different kinds of motivation, such as intrinsic and extrinsic. Intrinsically motivated people learn and do better in school. Irving Smiroff says that achievement motive is how a person thinks about things or situations that they don’t have. Initial Education, experiences, and subsequent learning shape it. This theory suggests that people with high Achievement Motivation are more likely to be interested in what motivates them, such as the job itself. People who don’t have much motivation to succeed care more about how others see them and the world around them than about how well they are doing.
How to Cite
Downloads
Similar Articles
- M. Ragul, A. Aloysius, V. Arul Kumar, Enhancing IoT blockchain scalability through the eepos consensus algorithm , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- Ganga Gudi, Mallamma V Reddy, Hanumanthappa M, Enhancing Kannada text-to-speech and braille conversion with deep learning for the visually impaired , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- Parameswari P.L., N. Amsaveni, Veeramani Marimuthu, E-Resource Utilization Among Kuwait University Faculty: an Analytical Study , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- Vinay Viratia, Sandeep Kumar, Shama Praveen, Tarang Shrivastava, Priyanka, Enhancing Trunk Control Balance in Children with Spastic Diplegic Cerebral Palsy: Comparative Effectiveness of the Vestibular Stimulation Technique and Standard Treatment , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- T. Ramyaveni, V. Maniraj, Hyperparameter tuning of diabetes prediction using machine learning algorithm with pelican optimization algorithm , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Jayalakshmi K., M. Prabakaran, The role of big data in transforming human resource analytics: A literature review , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Merina Yasmin, Chaitali Kundu, Monalisha Paul, Sandip Kumar Sinha, Ameliorative efficacy of aqueous extract of clove bud (AEC) against smokeless tobacco product induced antioxidative damages: An experimental study on male albino rat , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- M. Merla Agnes Mary, S. Britto Ramesh Kumar, DAJO: A Robust Machine Learning–Based Framework for Preprocessing and Denoising Fetal ECG Signals , The Scientific Temper: Vol. 16 No. 09 (2025): The Scientific Temper
- D. Jayaprasanth, J. Arul Melissa, Extended Kalman filter-based prognostic of actuator degradation in two tank system , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Poonam Sharma, Anindita S.Chaudhuri, Subhash Anand, Ankur Srivastava, Ashutosh Mohanty , Pravin Kokne, Measuring the relationship of land use land cover, normalized difference vegetation index and land surface temperature in influencing the urban microclimate in northeast Delhi, India , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
<< < 26 27 28 29 30 31 32 33 34 35 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Geetha Satish Pisharody, Sanjay Gupta, Effect of School Aspects on the Adversity Profile of Higher Secondary School Students , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- Maheshbhai R. Jakhotra, Sanjay Gupta, A Study on the Design and Effectiveness of a Spoken English Program for Gujarati Medium Secondary School Students (Aged 14–15) , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper

