An investigation on the impact of vedic mathematics on higher secondary school student’s ability to expand mathematical units
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.1.13Keywords:
Ability, Higher secondary school students, Implication of Vedic mathematics, School, Vedic Mathematics.Dimensions Badge
Issue
Section
Vedic mathematics strongly influences high school students’ capacity to extend mathematical units. The study compares Vedic arithmetic formulae to current mathematical science. The study’s technique is based on a retrospective-to-prospective design using past-to-present Vedic mathematics. The study collects data from both primary and secondary sources. Primary data were collected from 220 high school students using a planned schedule in pre- and post-Vedic mathematical phenomena. Primary data is evaluated using a regression model and paired sample t-test to further understand how Vedic mathematics might help students increase mathematical units in a globalized environment. The present study would assist academicians, policymakers, and researchers to better use Vedic mathematics formulae because the findings interpret the link between Vedic mathematics and high school students’ capacity to extend mathematical unitsAbstract
How to Cite
Downloads
Similar Articles
- Sony Kumari, Prashant Kumar, HYDROBIOLOGY AND PHYTOPLANKTON POPULATION IN CERTAIN PONDS OF NORTH BIHAR , The Scientific Temper: Vol. 9 No. 1&2 (2018): The Scientific Temper
- Rahul, Naveen Sharma, Thermosolutal Instability of Couple Stress Rivlin Ericksen Ferromagnetic Fluid with Rotation, Magnetic and Variable Gravity Field in Porous Medium , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Deepika Tripathi, Dr Rishi Saxena, Dr Sippy Agarwal, Exploring the relationship between bacterial vaginosis and socioeconomic factors in Bundelkhand region: A cross-sectional study , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Gomathi Ramalingam, Logeswari S, M. D. Kumar, Manjula Prabakaran, Neerav Nishant, Syed A. Ahmed, Machine learning classifiers to predict the quality of semantic web queries , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Archana Borde, Dattatraya Pandurang Rane, Pratap Vasantrao Pawar, Role of artificial intelligence in digital marketing in enhancing customer engagement , The Scientific Temper: Vol. 16 No. 03 (2025): The Scientific Temper
- P.N. Tripathi, N.P. Singh, Ved Prakash, STUDIES ON LENGTH-WEIGHT RELATIONSHIPS OF THE FRESH WATER CATFISH MYSTUS VITTATUS (BLOCH) IN GHAGHRA BELT OF EASTERN U.P. INDIA. , The Scientific Temper: Vol. 1 No. 01 (2010): The Scientific Temper
- Manisha Pallvi, Fish Diversity and Fish Assemblage Analysis in Shatiya Wetland of North Bihar , The Scientific Temper: Vol. 11 No. 1&2 (2020): The Scientific Temper
- Ahmed Mustefa, Efficacy of coffee farmers’ cooperatives in Gimbo Woreda, Kafa Zone, Ethiopia , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- R Sharmila, Nikhil S Patankar, Manjula Prabakaran, Chandra M. V. S. Akana, Arvind K Shukla, T. Raja, Recent developments in flexible printed electronics and their use in food quality monitoring and intelligent food packaging , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- M. Prabhu, A. Chandrabose, Improving the resource allocation with enhanced learning in wireless sensor networks , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
<< < 27 28 29 30 31 32 33 34 35 36 > >>
You may also start an advanced similarity search for this article.

