Possibilities and Challenges of Online Education in India During the COVID-19 Pandemic

Sengupta, Soumita

doi:10.4018/ijwltt.285567

Cited by 19 publications

(9 citation statements)

References 9 publications

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“…Clustering is the process of gathering and displaying related data items. Hence, a cluster is a collection of elements that are distinct from the objects in other clusters yet comparable to one another inside the cluster [2]. Clustering, a pre-processing tool used in data mining, can greatly reduce the quantity of the data and provide meaningful clusters that can be used in subsequent data analysis.…”

Section: Educational Data Mining Methodsmentioning

confidence: 99%

Educational Data Mining: Prospects and Applications

Debang¹,

Hassan

2023

Preprint

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Nowadays, educational institutions gather and save a vast amount of data, including records of student enrollment, attendance, and exam outcomes. Such data can be mined to produce interesting information that is helpful to those who handle it. New ways to assess e-pedagogical learning’s efficiency are required due to the increased interest in it as a crucial teaching and learning process. This paper offers a data mining research scenario for the next 20 years where the setting is e-learning, and the key topic is the assessment component, which is seen as a latent issue in this environment. Our objective is to present an understudied review of educational data mining research on the teaching and learning process while taking the viewpoint of education into consideration.

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Section: Educational Data Mining Methodsmentioning

confidence: 99%

Educational Data Mining: Prospects and Applications

Debang¹,

Hassan

2023

Preprint

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“…The study reported influencing factors including content quality of learning contents, userfriendliness of interfaces, and system connectivity. Sengupta (2022) threw light on the facilities and challenges of e-learning among university students of India and reported that 47 (2.2%) did not have access to any technological device while students liked to take online classes preferably through Google Classroom and Microsoft Classroom. It was highlighted that students preferred smartphones for online learning whereas connectivity issues were raised as major obstacles in online education in the situation of the Covid-19.…”

Section: Literature Reviewmentioning

confidence: 99%

Dark Clouds with Silver Linings: Use of Mobile Technology during COVID-19 among University Students

Irfan¹

2022

JDSS

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This study aims to explore the academic and leisure use of mobile technologies among students during the COVID-19 pandemic. It also identified the challenges they faced while using mobile technologies. It was a quantitative study based on a questionnaire survey. An online questionnaire was used to collect the data from university students to understand their mobile technologies' use during COVID-19 epidemic. The data depicted that university students used mobile technologies both for leisure and academic purposes to get their everyday information. They used it to share their academic documents, to keep in touch with teachers and fellows, and to save documents. It was noted that they use mobile technologies to engage in academic activities as well as to keep in touch with their loved ones during the period of confinement. The majority of them were users of smartphones. However, they were facing challenges while using mobile technologies such as the high cost of the devices, limited storage facilities, compatibility issues, data insecurity, and low battery life of the devices. The study would help understand the use of mobile technologies in relieving students from stress through their use for leisure purposes. Most importantly, it would articulate the effectiveness of online learning in comparison to traditional learning specifically in the time of confinement.

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“…While, keeping in view the digital divide in India (Mathivanan et al 2021), there is a possibility that online student survey may lead to some bias. However, the current pandemic forced the worldwide education system to shift online, and as a result parents, even from poor families, were forced to manage or buy smart phones or laptops for their children necessary for online education (Sengupta 2022). In our study, all the grade 8 students in 60 identified schools were found participants of their classroom Whatsapp groups.…”

Section: Data Collection Processmentioning

confidence: 99%

Influence of student’s ability to delay gratification on their educational transition choice

Ganie

2022

Empirical Res Voc Ed Train

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Objective A considerable amount of research identified socio-economic status and cognitive ability as robust predictors, the influence of student’s ability to delay gratification (ADG) on their educational transition choice doesn’t received researcher’s attention. To address this gap, the present study examined the incremental power of students ADG in predicting the dichotomous choice i.e. the choice of general or vocational education after successful completion of compulsory schooling. Methods Amid Covid-19 pandemic, cross sectional survey via an online mode was found feasible for the data collection process in our study. An online link of survey questionnaire was created in the Google forms and administered to (N = 1024) grade 8 students in the Union Territory of Jammu & Kashmir, India. Multiple binary logistic regressions were conducted to predict the students’ choice, and odds ratios and average marginal effects were reported for better interpretation of results. Results Our results showed that students tracking choice differed significantly with respect to their gender and locale (smaller effect), ADG (medium effect), and cognitive ability and socio-economic status (larger effect). The probability of choosing the track of vocational education (with general education track as a baseline category) increases as students ADG decreases, and vice versa. This association of student’s ADG with the choice of vocational education track held same over and above the covariates—socio-economic status, cognitive ability, gender and locale.

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Possibilities and Challenges of Online Education in India During the COVID-19 Pandemic

Cited by 19 publications

References 9 publications

Educational Data Mining: Prospects and Applications

Educational Data Mining: Prospects and Applications

Dark Clouds with Silver Linings: Use of Mobile Technology during COVID-19 among University Students

Influence of student’s ability to delay gratification on their educational transition choice

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