E-Learning Challenges with the Traditional Classroom: A Descriptive Survey (Preprint)
Authors: K Shwetha 
Published: February 2023

BACKGROUND

E-Learning has been widely accepted all around the world. Hence a focus on the challenges faced by eLearning with that of
traditional learning is concerned to make eLearning a better place for the users to access and
benefit.

OBJECTIVE

The objective of the research is to gather all the challenges faced by the users in real time using a real time dataset and segregate it based on the category to which the result of them will not affect the growth of eLearning in any manner.

METHODS

The flow of the research begins by finding the most faced challenges in eLearning from the
keywords in dataset. Text mining is used to perform keyword extraction and sentiment analysis. Monkey Learn tool is used to perform.
text mining. The responses collected from the challenges faced by the individuals in the open ended section are used to perform sentiment analysis. Keywords that are obtained from the keyword extraction is the most faced challenges. Based on it the attributes related to the keywords are used in the implementation of decision Tree Algorithm.

RESULTS

Both qualitative and quantitative analyses are addressed in the research questions. The quantitative analysis yielded three main findings by computing the confidence level from the response received in the open-ended section. 53% of users’ confidence level was measured as 0.7349 who experienced a negative level of challenges, 31% of users’ confidence level was measured as 0.682 who experienced a neutral level of challenges and 15% of users’ confidence level was measured as 0.6958 who experienced a positive level of challenges respectively. This shows that the confidence level for all the three categories is almost close to each other and some suggestion measures to balance the challenges could be a great solution for it. Hence those challenges do not have greater impact on the future growth of e-Learning

CONCLUSIONS

The overall outcome of the paper was presented as qualitative research. The challenges in eLearning are computed with the help of Machine Learning algorithms using Data Analytics and the results are obtained. From the result the challenges that are faced in eLearning with that of traditional learning though experienced by many users they do not have greater impact in the future growth of eLearning. This is because; mobility of the course is concerned as far as the users are engaged in another task. E-Learning has made learning to access from wherever they are and are easy for the users in taking up the courses. Especially during the time of pandemic there were drastic change in the field of education that turned the whole world into upside down. By this time eLearning has become more popular and trending among 90% of the learners. Everyone is used to it that played an important role in determining the future growth of eLearning. Hence it is important to overcome the challenges faced by the users by providing some suggestion measures. To make it understand, this paper focused on the challenges in implementing both quantitative and qualitative methods with the help of some machine learning techniques. Data analytics achieved the outcome to be satisfactory as well as gave a positive and acceptable accuracy score.