1. Title: An Exploratory Study on Student Satisfaction Levels Regarding Modern Teaching Methods.
2. Authors: Arnav Garg, Sania Haque, Vikas Solanki
3. Introduction: Current educational trends are shifting from traditional rote learning to more interactive and digital-based pedagogies. While institutions invest heavily in technology, student satisfaction remains the primary metric for academic success. This study aims to gauge how students perceive the effectiveness of these methods and whether they feel engaged during the learning process. The focus is on identifying small, actionable gaps in the classroom experience.
4. Objective: To understand the underlying issues of student engagement and identify specific pain points in current teaching methodologies that impact overall learner satisfaction.
5. Literature Review:
- Kuo et al. (2014): Found that interaction between instructors and students is the most significant predictor of student satisfaction in both physical and virtual environments.
- Martirosyan et al. (2015): Highlighted that faculty performance and the diversity of teaching styles used in the classroom have a direct correlation with student academic success and fulfilment.
6. Data Collection: For the above problem, 5 statements were framed on a Likert Scale. This scale measures the intensity of agreement, typically ranging from 1 (Strongly Disagree) to 5 (Strongly Agree). For every statement, the mean, standard deviation, standard error, and t-stat were calculated. The statements are as follows:
· Statement 1: The teaching methods used in my courses effectively help me understand the subject matter.
· Statement 2: My instructors use a variety of teaching techniques to keep me engaged in learning.
· Statement 3: The teaching methods accommodate my individual learning style and needs.
· Statement 4: Interactive activities and discussions enhance my learning experience more than lectures alone.
· Statement 5: My instructors explain concepts clearly and provide relevant examples that help me grasp difficult topics.
7. Data Analysis:
Mean, Standard Deviation, Standard Error and T-Statistic for each statement are as follows:
|
Q1 |
Q2 |
Q3 |
Q4 |
Q5 |
|
|
Mean |
3.04 |
3.25 |
3.26 |
3.23 |
3.18 |
|
SD |
1.09 |
1.01 |
1.09 |
1.02 |
1.04 |
|
SE |
0.11 |
0.10 |
0.11 |
0.10 |
0.10 |
|
T-stat |
0.35 |
2.61 |
2.50 |
2.29 |
1.77 |
- t > +1.96 → Accept Positive Alternate Hypothesis (μ > 3) People Agree.
- −1.96 ≤ t ≤ +1.96 → Accept Null Hypothesis (μ = 3) People are Neutral.
- t < −1.96 → Accept Negative Alternate Hypothesis (μ < 3) People Disagree.
8. Conclusion:
- Statement 1: Since the t-stat is −1.96 ≤ t ≤ +1.96, people are neutral about the teaching method used in the courses, which has effectively helped them understand the subject matter.
- Statement 2: Since the t-stat is > +1.96, people accept that the instructors are using a variety of teaching techniques to keep them engaged in learning.
- Statement 3: Since the t-stat is >+1.96, people accept that the teaching methods accommodate the individual learning style and needs.
- Statement 4: Since the t-stat is >+1.96, people are neutral that interactive activities and discussions enhance their learning experience more than lectures alone.
- Statement 5: Since the t-stat is −1.96 ≤ t ≤ +1.96, people are neutral that their instructors explain concepts clearly and provide relevant examples that help them grasp difficult topics.
9. References:
- Kuo, Y. C., Walker, A. E., Belland, B. R., & Schroder, K. E. (2014): A predictive study of student satisfaction in online education programs. The Internet and Higher Education, 20, 35–50.
- Martirosyan, N. M., Saxon, D. P., & Wanjohi, R. (2015): An examination of factors contributing to student satisfaction in higher education. International Journal of Educational Management, 29(2), 177–191.