The Power of Classroom Culture: Predicting Student Satisfaction for Enhanced Learning Outcomes

Abstract: In the evolving educational landscape, classroom culture plays a pivotal role in shaping student experiences and satisfaction. This paper explores the relationship between classroom culture and student satisfaction and examines its implications for sustainable workforce management in a technology-driven world. By fostering a positive and inclusive learning environment, institutions can equip students with the necessary skills, attitude, values, and adaptability required for sustainable career success. By leveraging predictive modelling techniques, this research identifies key factors contributing to student satisfaction and provides insights into fostering a positive academic environment. The study also highlights existing gaps in literature and suggests future research directions. Keywords: Classroom Culture, Student Satisfaction, Workforce Sustainability, Technology-Driven Learning and Prediction JEL Classification Number: M100, M120, M140

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-16
DOI
https://doi.org/10.5281/zenodo.15989253
Primary Topic
Scientific and Engineering Research Topics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Power of Classroom Culture: Predicting Student Satisfaction for Enhanced Learning Outcomes

Zenodo (CERN European Organization for Nuclear Research)
Scientific and Engineering Research Topics
article

The Power of Classroom Culture: Predicting Student Satisfaction for Enhanced Learning Outcomes

article en

Abstract

Abstract: In the evolving educational landscape, classroom culture plays a pivotal role in shaping student experiences and satisfaction. This paper explores the relationship between classroom culture and student satisfaction and examines its implications for sustainable workforce management in a technology-driven world. By fostering a positive and inclusive learning environment, institutions can equip students with the necessary skills, attitude, values, and adaptability required for sustainable career success. By leveraging predictive modelling techniques, this research identifies key factors contributing to student satisfaction and provides insights into fostering a positive academic environment. The study also highlights existing gaps in literature and suggests future research directions. Keywords: Classroom Culture, Student Satisfaction, Workforce Sustainability, Technology-Driven Learning and Prediction JEL Classification Number: M100, M120, M140

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 46%
Scientific and Engineering Research Topics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.