Bachelor of Information Systems (Honours) Business Information Systems Faculty of Information and Communication Technology (Kampar Campus), UTAR. Bachelor of Information Systems (Honours) Business Information Systems Faculty of Information and Communication Technology (Kampar Campus), UTAR.
Introduction
- Background
- Problem Statement
- Motivation
- Project Scope
- Project Objectives
- General Objectives
- Specific Objectives
- Impact
- Significance
- Contribution
- Research Question
- Research Layout
- Conclusion
Contributions from this research revealed that sleep disorders have a negative impact on students' academic performance, as well as features of smartphone use during bedtime have brought some disadvantages to sleep quality and duration. What is the factor of smartphone use at bedtime and effect on academic performance among students.
Literature Review
Literature Review
- Social Media Addiction
- Excessive of Watching drama or movie
- Playing Mobile Game
- Sleep Deprivation
- Cognitive Function
- Academic Performance
9 Based on [9], the impact of social media on the academic performance can be positive and negative because it is according to the responsibility of students who use social media. According to [26], their research aims to investigate the impact of sleep disturbance on cognitive function and academic performance among university students.
Review of Relevant Theoretical Framework
In contrast, personal status and family relatedness have little effect on a nursing student's academic success. This study model above was created by [31] to study the relationship between student behavior and their academic performance.
Literature Review Summary Table
To investigate the impact of smartphone use on students' sleeping habits and the potential impact on sleep duration and quality. To identify which cognitive skills are associated with academic performance in children after malaria with neurological involvement.
Hypotheses Development
Research Methodology
- Chapter Description
- Design specification
- Research design
- Data Collection Method
- Primary Data
- Secondary Data
- Sampling Design
- Questionnaire Design
- Adaptation of Questionnaire from Published Research
- Measuring Scale
- Nominal Scale
- Interval Scale
- Sample Item of Questionnaire
- Data Processing
- Questionnaire Reviewing
- Data Editing
- Data Coding
- Data Analysis
- Descriptive Analysis
- Scale Measurement (survey reliability)
- Correlation Coefficient
- Single and Multiple Regression Analysis
- Gantt Chart of this study
- Conclusion
The research design is defined by how the data is collected and analyzed and aims to combine the relevance of the research purpose so that useful information can be obtained. Primary data is the data developed based on first-hand experience to use for the specific objectives of research. It is the data collected from sources to provide preliminary and better understanding about research question.
In addition, the data is fully collected, so I can spend more time analyzing the data. By performing the data analysis, it is important to understand the independent and dependent variable and what should be measured with these variables. All collected data is filtered to avoid errors and the incomplete questionnaire is checked during this process.
Data editing is the process of adjusting and correcting errors found in the questionnaire before data analysis is performed.
Data Analysis & Result
Chapter Description
Descriptive Analysis
- Demographic Section
- General Information
- Central Tendencies Measurement of Variables
From Table 4.1 and Figure 4.1 above, the segmentation of respondents who participated in this questionnaire is by gender. According to Table 4.1 and Figure 4.3, the largest number of respondents are from the Faculty of Business and Finance (FBF), consisting of 34% and 35 out of 103 respondents. 57 (FICT) and 10 respondents from the Center for Fundamental Studies (CFS), who got 28.2% and 9.7% of the total respondents respectively.
There are also 3 respondents from the Faculty of Creative Industries (FCI) and 2 respondents from the Faculty of Science (FSC), which are 2.9% and 1.9%. According to Table 4.2 and Figure 4.4, most respondents currently use an Apple smartphone, which is 30.1% and 31 respondents out of 103 respondents. In addition, there are 20 respondents who use Huawei and 17 respondents who use Samsung, accounting for 19.4% and 16.5% of all respondents.
From Table 4.2 and Figure 4.5, there are only three types of operating system used by the respondents, namely IOS, Android and Harmony.
Scale Measurement for Pilot Study
- Model Assessment before Adjustment
- Fornell-Larker Criterion before Adjustment
- Item Reliability before Adjustment
- Reliability Test before Adjustment
- Adjustment for Better Reliability
- Model Assessment after Adjustment
- Fornell-Larker Criterion after Adjustment
- Items Reliability after Adjustment
- Reliability Test after Adjustment
According to Table 4.4, all correlation of latent variables is less than each extracted square root of the average variance. According to Table 4.5, the item reliability score of Social Media Addiction, Excessive Watching Drama or Movies, Play Mobile Games, Sleep Deficit, Cognitive Function and Academic Performance are shown above. According to Table 4.6, it allegedly showed that all the values of Cronbach's alpha for each variable are greater than 0.6.
From Table 4.6 above, the two extracted variables with mean variance less than 0.5 are excessive drama or movie watching and cognitive function. From Table 4.5, there are two indicator reliability values less than 0.5, namely EOWDOM1 and EOWDOM5 in Drama or Movie Binge Watching, whose variable identifier is EOWDOM. According to Table 4.7, all latent variable correlations are less than each square root of AVE.
However, compare the test result between Table 4.6 and 4.9, which is before and after adjustment, the Cronbach's alpha and AVE of Excessive from watching drama or movie.
Sample Items of Questionnaire for Actual Research
68 and cognitive function changed after the reliability test, with two Cronbach's alpha values dropping slightly, but both Cronbach's alpha values still being fairly reliable. In addition, the average variance obtained from excessive drama or movie viewing and cognitive function increased to a value greater than 0.5. In other words, it allegedly showed that all Cronbach's alpha values for each variable were greater than 0.6 and all AVE values were greater than 0.5.
I prefer to play online mobile games instead of going out with my classmates to do a group study. I used to get low marks in most of my subjects because of playing online mobile games. I am unable to complete my university assignments on time due to playing online mobile games.
SPSS Result
- Pearson Correlation Analysis
- Single & Multiple Regression Analysis
The first regression is multiple regression, which evaluates the relationship between Social Media Addiction, Excessive watching drama or movies, Playing Mobile Game as independent variables and lack of sleep as dependent variable. Then, the next regression is simple regression to test sleep deprivation as independent variable and cognitive function as dependent variable. The first regression is to examine the relationship between four variables which are Social Media Addiction, Excessive watching drama or movies, Playing Mobile Game as independent variables and lack of sleep as dependent variable.
Based on the linear equation above, it shows that there is a significant positive relationship between social media addiction, excessive drama or movie watching, playing mobile games, and sleep deprivation. The second regression is to evaluate the relationship between sleep deprivation as an independent variable and cognitive function. H1 of hypothesis 4 is thus proven because there is a significant correlation between sleep deprivation and cognitive function.
The above linear equation shows that the relationship between sleep deprivation and cognitive function is significantly positive.
Test of significant
The significant value of playing mobile games is < 0.001, which is lower than the significant level of 0.05. Thus, 𝐻3 is accepted and it proves that there is a significant relationship between playing mobile games and sleep deprivation. The p-value of sleep deprivation is less than 0.001, which is lower than the significant level of 0.05.
Therefore, 𝐻4 is accepted and shows that there is a significant relationship between sleep deprivation and cognitive function. The significant value of cognitive function is <0.001, which is below the significant level of 0.05. Therefore, 𝐻5 is accepted and proves that there is a significant relationship between cognitive function and academic performance.
Summary of Hypotheses
Conclusion
Conclusion
Statistical Analysis Summary
- Descriptive Analysis
- Scale Measurement
- SPSS Analysis
As the first part, Social Media Addiction, Excessive watching drama or movies and playing mobile games as independent variables and sleep deprivation as dependent variable. Simple and multiple regression is to evaluate the relationship between the independent variable and the dependent variable. First, the multiple regression is to examine Social Media Addiction, Excessive watching drama and movies and Playing Mobile Game as independent variables and sleep deprivation as dependent variable.
In addition, the other regression is the single regression testing the relationship of Sleep Deprivation as the independent variable and Cognitive Function as the dependent variable. Therefore, the null hypothesis is rejected which indicates that there is a significant relationship between sleep deprivation and cognitive function. Finally, the other single regression is the assessment of the relationship of Cognitive Function as the independent variable and Academic Performance as the dependent variable.
The coefficient for cognitive function is -0.329, which means that there is a negative relationship between the independent variable and the dependent variable.
Discussion of Hypotheses Test
- First Hypothesis
- Second Hypothesis
- Third Hypothesis
- Forth Hypothesis
- Fifth Hypothesis
From the Pearson correlation analysis of this study, there is a significant relationship between binge watching dramas or movies and lack of sleep. There is a significant relationship between sleep deprivation and cognitive function, which is accepted in this study. The researchers pointed out that sleep disorders have a negative effect on the academic performance and cognitive functions of students, which emphasized that proper sleep is an indispensable part of better academic performance and cognitive functions.
88 questionnaire of Cognitive Function is to collect the loss of cognitive function among respondents and Academic Performance is to collect last GPA of respondents. Consequently, the higher the cognitive function loss, the lower the GPA among the respondents. Therefore, this result proves that there is a significant relationship between cognitive function and academic performance.
In short, cognitive function is one of the factors that influence the academic performance of students.
Limitation of the Research
Consequently, stress is one of the factors that can affect the academic performance of students, which has been proven by the four studies mentioned above. Pahi, "Smartphone Use and Academic Performance of College Students: A Mediation and Moderation Analysis," Sustain., vol. Emdadul Haque et al., "Usage of mobile applications at night and its association with sleep pattern and academic performance of the medical students of UniKL-RCMP, Ipoh, Malaysia," J.
Dzandza, "Effect of Social Media on Academic Performance of Students in Ghanaian Universities: A Case Study of University of Ghana, Legon," Libr. Ramanan, "Effect of sleep deprivation on academic performance and cognitive functions among college students: a cross-. Hodges, "The association between cognition and academic performance in Ugandan children surviving malaria with neurological involvement," PLoS One, vol.
Ismail Mohd Anuar, “Academic Performance of University Students: A Case Study in a Higher Education Institution”, KnE Soc. I am currently conducting research on the relationships between social media addiction, binge-watching, mobile game playing, sleep deprivation, cognitive function, and academic performance. Final year project title BEDTIME SMARTPHONE USAGE AND ITS EFFECT ON STUDENT’S ACADEMS ACADEMIC PERFORMANCE.
![Figure 3.2: Rule of thumb for interpreting alpha from [37]](https://thumb-ap.123doks.com/thumbv2/azpdforg/10214128.0/63.892.287.707.625.921/figure-rule-thumb-interpreting-alpha.webp)
