Title: Impact of Post-Lunch (2 PM onwards) Lectures on Student’s Productivity
Author:
Rishav Raj (0210331025597)
Janavi kale (0210331025169)
Pranav Patil (0210331025299)
Introduction
In academic institutions, lecture scheduling plays a crucial role in determining student’s attention, engagement, and overall productivity. Post-lunch lectures (2 PM onwards) are often considered challenging due to physiological factors such as post-meal drowsiness, reduced alertness, and mental fatigue. Students may find it difficult to concentrate, participate actively, and retain information during this time period.
This study examines the impact of post-lunch lectures on student’s productivity, focus, and learning effectiveness.
Objective
To understand underlying impact of post-lunch (2 PM onwards) lectures on student’s productivity and concentration levels.
Data Collection
To understand the underlying issue of Impact of Post-Lunch (2 PM onwards) Lectures on Student’s Productivity following five questions are formed on Likert scale (5 point scale).
A google from was formed in Likert scale. Data was coded as 5 for strongly agree, 4 for agree, 3 for neutral, 2 for disagree and 1 for strongly disagree. 113 students of ITM were surveyed and data was downloaded as excel sheet for each question Mean, Standard deviation, Standard error and tstats were calculated.
Data Analysis
Q1:I am able to stay alert and attentive during lectures held after lunch (from 2 PM onwards).
Q2: I am able to clearly understand the concepts taught in post-lunch lectures.
Q3: I feel tired or sleepy during lectures conducted after lunch.
Q4: I feel that post-lunch lectures reduce my productivity for the rest of the day.
Q5: I feel that lectures scheduled after lunch (2 PM onwards) are effective for my learning.
Statistical Summary Table
|
Particulars |
Q1 |
Q2 |
Q3 |
Q4 |
Q5 |
|
Mean |
2.54 |
2.80 |
3.02 |
3.21 |
2.63 |
|
Standard Deviation |
1.40 |
1.23 |
1.40 |
1.31 |
1.29 |
|
Standard Error |
0.14 |
0.12 |
0.14 |
0.13 |
0.13 |
|
T-Statistics |
-3.26 |
-1.61 |
0.14 |
1.59 |
-2.85 |
|
Interpretation |
Disagree |
Neutral |
Neutral |
Neutral |
Disagree |
When t-stat is between 1.96 and -1.96 students are neutral.
When t-stat is greater than 1.96 students agree to this statement.
When t-stat is less than -1.96 students disagree to the statement.
Interpretation
l Q1: Students disagree with the statement, indicating that they do not positively perceive the aspect measured in Q1.
l Q2, Q3 & Q4: Students show a neutral response, reflecting mixed opinions and no strong agreement or disagreement regarding these statements.
l Q5: Students disagree with the statement, suggesting that students do not support or agree with the condition measured in Q5.
Since the t-statistics for Q1 and Q5 are less than −1.96, students significantly disagree with these statements, while the t-statistics for Q2, Q3, and Q4 lie between ±1.96, indicating neutral responses. Overall, the findings reflect limited agreement and highlight areas where students express dissatisfaction or uncertainty.
Conclusion
The statistical analysis reveals that students do not express strong agreement with any of the statements related to the lecture experience. Significant disagreement is observed for Q1 and Q5, indicating that students perceive challenges in the aspects measured by these questions. For Q2, Q3, and Q4, the responses remain neutral, suggesting mixed opinions and a lack of clear consensus among students. Overall, since most t-statistic values fall within or below the ±1.96 range, the findings indicate weaker acceptance and uncertain perceptions, highlighting the need for improvements to enhance students’ understanding, engagement, and productivity during lectures.