Analysis Research

Open Access

|

Peer-reviewed

Blended Learning Models and Their Impact on Student Performance

Mr. P. Vairamani , Mr. N. Vetrivel

DIP: 18.02.045/20251003

DOI: 10.25215/2455/1003045

Received: June 19, 2025; Revision Received: July 20, 2025; Accepted: July 25, 2025

Abstract

Blended learning has emerged as a transformative educational approach that merges traditional classroom instruction with digital and online learning experiences. This study investigates the effectiveness of various blended learning models—such as rotation, flex, flipped classroom, and enriched virtual models—and their influence on student academic performance in higher education settings. Drawing on a mixed-methods research design, the study analyzes both quantitative data (test scores, assignment performance) and qualitative data (student and faculty feedback) collected from undergraduate courses across multiple disciplines. The findings reveal that well-structured blended learning environments contribute positively to student achievement, enhance learner motivation, and promote active participation and self-directed learning. Moreover, the flexibility and interactivity inherent in blended models allow for differentiated instruction and timely feedback, which further support improved learning outcomes. However, the effectiveness of these models is mediated by factors such as digital access, instructional design quality, student autonomy, and faculty readiness. The study underscores the importance of thoughtful implementation and continuous support to harness the full pedagogical potential of blended learning, making it a sustainable solution for quality education in the digital age.

The author(s) appreciates all those who participated in the study and helped to facilitate the research process.

The author(s) declared no conflict of interest.

This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.

Responding Author Information

Mr. P. Vairamani @ rameshenglish1985@gmail.com

Related Content
Blended Learning Models and Their Impact on Student Performance

Total Download: 6 | Total View: 381

PlumX Matrix

Plum Analytics uses research metrics to help answer the questions and tell the stories about research. Research metrics that immediately measure awareness and interest give us new ways to uncover and tell the stories of research.

Dimensions Matrix

Dimensions is a next-generation linked research information system that makes it easier to find and access the most relevant information, analyze the academic and broader outcomes of research, and gather insights to inform future strategy. (digital science)

Article Overview

ISSN 2455-670X

DIP: 18.02.045/20251003

DOI: 10.25215/2455/1003045

Published in

Volume 10, Issue 3, July – September, 2025

  • 6Downloads
  • 0Citations
  • 381Views
  • 0Likes
How to Cite
Print
Share
[DISPLAY_ULTIMATE_SOCIAL_ICONS]
Make a Submission