Ijraset Journal For Research in Applied Science and Engineering Technology
Authors: Ms. Lakshmi G V, Dr. Rajeshwari R R
DOI Link: https://doi.org/10.22214/ijraset.2024.64475
Certificate: View Certificate
The study investigates the impact of online learning platforms like Coursera and NPTEL on enhancing educators\' skills and knowledge in academia. With digital transformation accelerating post-COVID-19, platforms offer flexibility for professional development, yet challenges persist. The study, conducted through a survey of 73 educators in Bengaluru, uses quantitative and descriptive methods, applying statistical tools like Correlation, Chi-Square tests, and ANOVA to assess platform effectiveness. Key findings reveal that platforms like LinkedIn Learning and Udemy are popular, but balancing work and learning is a challenge for many. While educators appreciate the flexibility, 56.2% express dissatisfaction with the long-term career growth and skill development offered by these platforms. The study highlights the need for better interactive features, practical learning opportunities, and improvements in course content to support effective professional growth in academia. In conclusion, while online platforms provide valuable resources, they must address these gaps to fully meet educators\' needs for continuous upskilling.
I. INTRODUCTION
The rapid advancement of digital technologies has revolutionized the education sector, with online learning platforms playing a pivotal role in enhancing the skills and knowledge of employees, particularly in academia. Platforms such as Coursera, NPTEL, and LinkedIn Learning offer educators flexible, cost-effective, and accessible opportunities for professional development. As higher education institutions increasingly prioritize continuous learning to keep pace with modern demands, these platforms have emerged as essential tools for skill enhancement. However, questions remain about their overall effectiveness compared to traditional methods, and challenges such as balancing learning with work responsibilities persist. This study explores the impact of online learning platforms on professional growth in academia, analyzing their effectiveness, motivational factors, and areas for improvement in fostering long-term career development.
II. TITLE
Impact of Online Learning Platforms in Enhancing Employees' Skills and Knowledge in Academia.
III. STATEMENT OF THE PROBLEM
The emergence of online learning platforms has significantly reshaped educational practices within academia, yet there is a lack of comprehensive understanding regarding their effectiveness in enhancing employees' skills and knowledge. While many institutions have integrated these platforms into their training programs, questions remain about their actual impact on professional development and the extent to which they address the specific learning needs of employees. This research aims to explore these issues, assessing both the advantages and challenges of online learning in fostering skill enhancement and knowledge acquisition among employees in academia.
IV. OBJECTIVES
V. HYPOTHESES FOR THE STUDY
A. Hypothesis 1
B. Hypothesis 2
C. Hypothesis 3
VI. LITERATURE REVIEW
VII. RESEARCH GAP
Existing studies mainly explore the general impact of online learning on educators' professional development, teaching methods, and student outcomes. However, a gap remains in understanding how online platforms specifically enhance the skills and knowledge of academic employees. My research, "Impact of Online Learning Platforms in Enhancing Employees' Skills and Knowledge in Academia," addresses this by analyzing employee experiences, motivations, and challenges. Through a comprehensive questionnaire, it aims to tailor online learning to better support academic staff's career development and effectiveness.
VIII. RESEARCH METHODOLOGY
This research utilizes both quantitative and descriptive methods to evaluate the impact of online learning platforms on employees' skills and knowledge in higher education. The study focuses on faculty members from various colleges in Bengaluru, representing different academic disciplines and institutions, with a sampling unit targeting individuals who actively use online platforms for professional development. Aiming for 80 to 100 responses, the study successfully gathered 73 completed surveys, offering valuable insights into platform effectiveness. Primary data was collected through a structured questionnaire distributed to faculty, capturing their experiences and perceptions of online learning in the context of professional growth.
IX. DATA ANALYSIS AND INTERPRETATION
Table 9.1: Table Showing How satisfied are you with the overall effectiveness of online learning platforms in enhancing your skills?
|
No. of Respondents |
Percentage (%) |
Very Dissatisfied |
13 |
18% |
Dissatisfied |
41 |
56% |
Neutral |
24 |
33% |
Satisfied |
17 |
23% |
Very Satisfied |
5 |
7% |
Analysis:
The table shows that satisfaction with the overall effectiveness of online learning platforms in enhancing skills is predominantly negative, with 56% of respondents expressing dissatisfaction and 18% being very dissatisfied. A smaller percentage of respondents are satisfied at 23% and very satisfied at 7%. Furthermore, 33% remained neutral, indicating some uncertainty regarding the platforms' effectiveness.
1) Graph 9.1 :Graph Showing Overall Effectiveness of Online Learning Platforms
Interpretation:
The data indicates a clear trend of dissatisfaction among respondents, with most feeling negative about online learning platforms. While a smaller group expresses satisfaction, the neutral responses suggest that some have mixed or uncertain experiences. Overall, dissatisfaction dominates, highlighting potential areas for improvement in the platforms' effectiveness and user experience.
Table 9.2: Table Showing Is career advancement a key factor motivating you to use online learning platforms?
|
No of Respondents |
Percentage (%) |
Yes |
65 |
89.0% |
No |
8 |
11.0% |
Analysis:
The table shows that career advancement is a significant motivating factor for the majority of respondents using online learning platforms, with 89% indicating a positive response. Only 11% do not consider career advancement as a motivating factor, suggesting that these platforms are primarily viewed as tools for professional growth and skill enhancement.
2) Graph 9.2: Graph Showing Is career advancement a key factor motivating you to use online learning platforms?
Interpretation:
The chart illustrates that career advancement is a key motivating factor for the majority of respondents utilizing online learning platforms. A small minority does not view career progression as a motivating aspect, which suggests that these platforms are primarily perceived as essential tools for professional growth and skill enhancement. This highlights the critical role of online learning in supporting individuals' career aspirations and reinforces the need for such platforms to align their offerings with the professional development goals of users.
Table 9.3: Table Showing Balancing online learning with a busy work schedule is a significant challenge
|
No.of Respondents |
Percentage(%) |
Strongly Agree |
11 |
15% |
Agree |
39 |
53% |
Neutral |
18 |
25% |
Strongly Disagree |
5 |
7% |
Disagree |
0 |
0% |
Total |
73 |
100% |
Analysis:
The table illustrates respondents' perceptions regarding the challenge of balancing online learning with a busy work schedule. A total of 50 respondents either strongly agreed 15% or agreed 53% that this balancing act is a significant challenge. 25% remained neutral, while 7% strongly disagreed, and none of the participants disagreed. This distribution highlights the scheduling challenges faced by individuals engaged in online learning.
C. Graph 9.3: Graph Showing Balancing online learning with a busy work schedule is a significant challenge
Interpretation:
The chart shows respondents' perceptions of the challenges associated with balancing online learning and a busy work schedule. A significant portion of the participants indicated that they find this balance to be a considerable challenge, with many expressing strong agreement with this sentiment. A notable number of respondents also reported feeling neutral about the issue, suggesting a mix of experiences regarding the impact of their schedules on online learning. Conversely, only a small fraction disagreed with the notion of this being a challenge. Overall, the data reveals that managing online education alongside professional commitments is a common concern, highlighting the need for strategies to support individuals in effectively integrating these responsibilities.
D. Hypothesis Testing Using One-Way ANOVA
Evaluates whether there are statistically significant differences between group means to determine the impact of independent factors on a dependent variable.
Hypothesis 1
Table 9.4.1: Table Showing Assessing the Impact of Motivational Factors on Employees' Learning and Skill Enhancement
To What extent do interactive features (e.g., quizzes, forums) on these platforms support your learning? |
|||||
|
Sum of Square |
df |
Mean Square |
F |
Sig. |
Between Groups |
4.336 |
4 |
1.084 |
2.079 |
.093 |
Within Groups |
35.445 |
68 |
.521 |
|
|
Total |
39.781 |
72 |
|
|
|
Table 9.4.2: Table Showing Effect Sizes and Confidence Intervals for ANOVA on the Impact of Interactive Features on Learning
ANOVA Effect Sizes a,b
95% Confidence Interval |
||||
|
|
Point Estimate |
Lower |
Upper |
To what extent do interactive features (e.g., quizzes, forums) on these platforms support your learning? |
Eta-Squared |
.109 |
.000 |
.216 |
Epsilon-squared |
.057 |
-.059 |
.169 |
|
Omega-squared Fixed-effect |
.056 |
-.058 |
.168 |
|
Omega-squared Random-effect |
.015 |
-.014 |
.048 |
Interpretation
Based on the analysis, it can be observed that the p-value is 0.093. This value exceeds the conventional significance threshold of 0.05. Therefore, we fail to reject the null hypothesis. This suggests that there is no statistically significant difference in how the different groups perceive the support provided by interactive features on online platforms for learning.
E. Hypothesis Testing Using Correlation
Evaluating the Relationship Between Motivational Factors and Employees' Learning and Skill Enhancement.
Hypothesis 2
Table 9.5.1: Table Showing: Correlation Between Knowledge Increase and Satisfaction with Online Learning Platforms in Enhancing Skills.
CORRELATION |
|||
|
Have you noticed an increase in your knowledge due to online learning platform? |
How satisfied are you with the overall effectiveness of online learning platform in enhancing your skill? |
|
Have you noticed an increase in your knowledge due to online learning platforms? |
Pearson Correlation |
1 |
.106 |
Sig.(2-tailed) |
|
.370 |
|
N |
73 |
73 |
|
How satisfied are you with the overall effectiveness of online learning platforms in enhancing your skills? |
Pearson Correlation |
.106 |
1 |
Sig.(2-tailed) |
.370 |
|
|
N |
73 |
73 |
Interpretation
The p-value of 0.370 is greater than the typical significance level of 0.05, meaning we fail to reject the null hypothesis. This indicates that there is a very weak positive correlation between noticing an increase in knowledge due to online learning platforms and satisfaction with their overall effectiveness in enhancing skills. However, the relationship is not statistically significant, suggesting that there is no meaningful correlation between the two variables in this context.
F. Hypothesis Testing Using Chi-Square
Analyzing the Relationship Between Categorical Variables and Their Impact on the Adoption of Online Learning Platforms.
Hypothesis 3
Table 9.6.1: Table Showing Chi-Square Test Statistics for Knowledge Increase and Satisfaction with Online Learning Platforms
Test Statistics
|
Have you noticed an increase in your Knowledge due to online learning platforms? |
How satisfied are you with the overall effectiveness of online learning platforms in enhancing your Skills?
skills? |
Chi-Square. |
50.973a |
43.644b |
df |
1 |
4 |
ASYMP. Sig. |
<.001 |
<.001 |
a.0 cells (0.0%) have expected frequencies less than 5. The minimum expected cell frequency is 36.5.
b. 0 cells (0.0%) have expected frequencies less than 5. The minimum expected cell frequency is 14.6.
Interpretation
Since the p-value is less than the standard significance level of 0.05, the null hypothesis is rejected in favour of the alternative hypothesis. This indicates a statistically significant relationship between the use of online learning platforms and the respondents' knowledge increase, as well as their satisfaction with skill enhancement. The Chi-Square test results demonstrate a significant association, suggesting that online learning platforms have had a notable positive impact on the professional development of the respondents.
X. FINDINGS
XI. SUGGESTIONS
The result from this research shows that interactive features on online learning platforms have no statistically significant impact on perceived skill enhancement, and the correlation between knowledge improvement and satisfaction is weak. However, the small effect size suggests areas for improvement. Refining interactive tools and tailoring learning experiences to individual needs can create more engaging environments. Enhancing feedback mechanisms will help optimize online education\'s effectiveness in skill development.
[1] Patel, R., & Gupta, S. (2022), \"Leveraging E-Learning Platforms for Employee Skill Enhancement in Academic Institutions,\" International Journal of Higher Education Research, 7(3), pp. 180-198. [2] Chang, L., & Thompson, H. (2022), \"Online Learning Platforms as Catalysts for Skill Enhancement in Higher Education Faculty,\" International Journal of Educational Management, 36(5), pp. 672-689. [3] Bhatia, A., & Singh, R. (2023), \"The Effectiveness of Online Learning Platforms in Developing Professional Competencies Among University Employees,\" Journal of Learning and Development in Higher Education, 8(2), pp. 90-105. [4] Smith, J., & Anderson, L. (2023), \"The Role of Online Learning Platforms in Professional Development of Higher Education Faculty,\" Journal of Educational Technology & Society, 26(2), pp. 115-130. [5] Kumar, P., & Williams, M. (2024), \"Impact of E-Learning Tools on Knowledge Acquisition in Academic Environments,\" International Journal of Digital Learning in Higher Education, 12(4), pp. 225-240. [6] Patel, N., & Lee, C. (2024), \"Exploring the Impact of Digital Learning Environments on Skill Development and Knowledge Acquisition in Academia,\" Journal of Higher Education Policy and Management, 46(1), pp. 34-50.
Copyright © 2024 Ms. Lakshmi G V, Dr. Rajeshwari R R. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Paper Id : IJRASET64475
Publish Date : 2024-10-06
ISSN : 2321-9653
Publisher Name : IJRASET
DOI Link : Click Here