P Chandrasekar
Biographic Data
| ID | 7462101 |
|---|---|
| NAME | P Chandrasekar |
| GIVEN NAMES | P |
| FAMILY NAME | Chandrasekar |
| SIGNATURE | CHANDRASEKAR P |
| AFFILIATIONS | Sathyabama Institute of Science and Technology |
| ORCID | 0000-0001-8535-2483 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Enhancing Student Achievement through Active Learning and Predictive Modelling using Machine Learning Algorithms
The integration of innovative pedagogical methods and data-driven technologies has the potential to significantly transform educational outcomes. This study investigates the impact of active learning strategies combined with predictive modelling techniques powered by machine learning algorithms to enhance student achievement. Active learning approaches—such as interactive discussions, collaborative exercises, and formative assessments—promote stu…
Enhancing power quality in distribution networks using three-phase unified power quality conditioner (UPQC)
Personality Development and Discipline Qualities among the National Cadets Corps in Southern India
The students from the Madras Group (Zone) in Tamil Nadu, India are the primary focus of this investigation. The study was carried out in nine different districts of the state of Tamil Nadu in India, and it received responses from 18,324 college students residing in these diverse areas. The t-test and analysis of variance (ANOVA) methodologies were used in the course of an investigation of the responses provided by students. In accordance with the…
No prominent works on this page.
Personality Development and Discipline Qualities among the National Cadets Corps in Southern India
The students from the Madras Group (Zone) in Tamil Nadu, India are the primary focus of this investigation. The study was carried out in nine different districts of the state of Tamil Nadu in India, and it received responses from 18,324 college students residing in these diverse areas. The t-test and analysis of variance (ANOVA) methodologies were used in the course of an investigation of the responses provided by students. In accordance with the…
Enhancing Student Achievement through Active Learning and Predictive Modelling using Machine Learning Algorithms
The integration of innovative pedagogical methods and data-driven technologies has the potential to significantly transform educational outcomes. This study investigates the impact of active learning strategies combined with predictive modelling techniques powered by machine learning algorithms to enhance student achievement. Active learning approaches—such as interactive discussions, collaborative exercises, and formative assessments—promote stu…
Enhancing power quality in distribution networks using three-phase unified power quality conditioner (UPQC)
Mathematics (2 works) · Analytics (1 work) · Artificial neural network (1 work) · Biology (1 work) · Computer Science (1 work) · Demography (1 work) · E-Learning and Knowledge Management (1 work) · Ecology (1 work) · Educational technology (1 work) · Electrical engineering (1 work)