Efficacy of multimedia courseware in achievement in Mathematics
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.3.10Keywords:
Technology-enhanced learning, Digital instructional tools, Mathematics education, Student engagement, Pedagogical innovation, Experimental research design.Dimensions Badge
Issue
Section
License
Copyright (c) 2025 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
AbstractAbstract
This research aims to evaluate students’ academic achievement levels using multimedia courseware because it creates a lively learning environment that improves educational success in mathematics learning in secondary education. Multimedia instructional materials. The chosen approach for achieving the purpose was the experimental method. The research relied on 40 female students attending Government Girls Higher Secondary School in Manaparai, Trichy. This research split its participants into an experimental group which contained 20 students and a control group consisting of 20 students. Students participating in the experimental program received lessons from multimedia courseware which the research scholar had developed, while the control group students received traditional instruction. The research data demonstrated that students who received multimedia courseware education showed better mathematics performance than students taking classes through traditional methods, with a high effect size.
How to Cite
Downloads
Similar Articles
- Himadri Nalinkumar Raval, Effective strategies in English language teaching: Enhancing writing proficiency among learners , The Scientific Temper: Vol. 16 No. 03 (2025): 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
- Jayshree Mehta, Pranjal Bhatt, Vikas Raval, Skill development in India: Challenges, current, and future perspectives , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- J. Fathima Fouzia, M. Mohamed Surputheen, M. Rajakumar, Hybrid pigeon optimization-based feature selection and modified multi-class semantic segmentation for skin cancer detection (HPO-MMSS) , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- Pallavi M. Shimpi, Nitin N. Pise, Comparative Analysis of Machine Learning Algorithms for Malware Detection in Android Ecosystems , The Scientific Temper: Vol. 16 No. 11 (2025): The Scientific Temper
- Sowmiya M, Banu Rekha B, Malar E, Assessment of transfer learning models for grading of diabetic retinopathy , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- V. Karthikeyan, C. Jayanthi, Advancements in image quality assessment: a comparative study of image processing and deep learning techniques , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Santosh T. Karmani, Sachin V. V. Acharekar, The impact of online degree programs on employment opportunities in contemporary India , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Deepak K. Sharma, Vandana ., Pankaj Kumar, Ambrish Pandey, Jitender Pal, Investigating physico-chemical characteristics of water and wastewater in the printing industry , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Archana G, Vijayalakshmi V, Improving classification precision for medical decision systems through big data analytics application , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
<< < 2 3 4 5 6 7 8 9 10 11 > >>
You may also start an advanced similarity search for this article.

