Experience of MMS students about how busy pace of college affects their sleep cycle.

Title: Experience of MMS students about how busy pace of college affects their sleep cycle.

Authors :

  • Ashvini Ahire – Roll no 02 (MMS Batch-A)
  • Juili Dhule – Roll no 10 (MMS Batch-A)
  • Shubham Pandey – Roll no 39 (MMS Batch-A)

Introduction: Understanding the impact of a hectic college schedule on the sleep patterns of MMS students is crucial for addressing their overall well-being and academic success. By delving into the firsthand experiences of these students, we aim to uncover the intricate relationship between their demanding academic commitments and their ability to maintain a healthy sleep cycle. In this survey we will find out what students actually experience regarding this issue.

Objective: To know whether students are being able to manage their sleep cycle during college’s hectic schedules.

Literature Review:

Causes and consequences of sleepiness among college students

Hershner and Chervin (2014) say that the college years are a time of critical transition from adolescence to adulthood. Class times are often scheduled without consideration of young adult’s circadian patterns. Inadequate sleep hygiene is common, as students often use technology and substances that compromise sleep quality and quantity. Students who attain sufficient sleep may still struggle with sleepiness due to sleep disorders.

Effect of sleep and mood on academic performance

Mehta (2021) says that sleep and mood influence cognitive functions and thereby affect academic performance. In turn, these are influenced by a network of regulatory factors that directly or indirectly affect learning. The emerged picture brings forth two points. First, it partly explains the ambiguous and conflicting data on the effects of sleep and mood on academic performance. Second, these revelations collectively question the ‘one-size fits all’ approach in implementing education strategies.

Data Collection

For the above problem, following are the 5 questions, which were framed to be answered on “Likert scale”, with 1 to 5 points. 100 students were surveyed and for each Question, which was coded as 1 to 5 – Mean, Standard deviation, Standard Error and T-stat was calculated on the basis of the following questions

 

  1. I experience mental and physical exertion.
  2. I observe potential long-term health consequence.
  3. My poor sleep affects my productivity.
  4. I notice disruptions in my sleep cycle.
  5. Sleep deprivation affects my concentration power.

 

Data Analysis

 

Question 1

Question 2

Question 3

Question 4

Question 5

Mean

 

3.45

3.04

3.97

3.81

4.03

Standard Deviation

1.22

1.20

1.16

1.22

1.04

Standard Error

0.12

0.12

0.12

0.12

0.10

T-stat

 

3.70

0.33

8.37

6.64

9.91

Results

Positive

Neutral

Positive

Positive

Positive

 

We calculated our results at 95% confidence level, where:

-If T-stat value is more than +1.96 then accept positively.

-If T-stat value is between +1.96 & -1.96, accept neutral.

-If T-stat value is less than -1.96 then accept negatively.

 

Conclusions

  1. Students experience mental and physical exertion.
  2. Students are neutral towards observing potential long-term health consequence.
  3. Students poor sleep affects their productivity.
  4. Students noticed disruptions in their sleep cycle.
  5. Sleep deprivation affects students’ concentration power.

 

References

 

Hershner SD, Chervin RD. Causes and consequences of sleepiness among college students. Nat Sci Sleep. 2014 Jun 23; 6:73-84. doi: 10.2147/NSS.S62907. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4075951/#:~:text=Sleep%20deprivation%20is%20defined%20as%20obtaining%20inadequate%20sleep,well%20studied%2C%20but%20the%20effect%20may%20be%20substantial.

 

Mehta, K.J. (2021) Effect of sleep and mood on academic performanceat interface of physiology, psychology, and education. Humanit Soc Sci Commun 9, 16 (2022). https://rdcu.be/dAD9M

 

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