Towards Sustainable e-Learning Systems Using an Adaptive Learning Approach

Blended learning incorporates online learning experiences and helps students for meaningful learning through flexible online information and communication technologies, reduced overcrowded classroom presence, and planned teaching and learning experience. This study has conducted surveys of various tools, techniques, frameworks, and models useful for blended learning. This article has prepared a comprehensive survey of student, teacher, and management experiences in blended learning courses during COVID-19 and pre-COVID-19 times. The survey will be useful to faculty members, students, and management to adopt new tools and mindsets for positive outcomes. This work reports on implementing and assessing blended learning at two different universities

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“…Smaili et al [46] proposed a sustainable e-learning system. This system is developed to handle dropouts in schools.…”

Section: A E-learning Frameworkmentioning

confidence: 99%

Blended Learning Tools and Practices: A Comprehensive Analysis

et al. 2021

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“…A similar study, (Salloum et al, 2019) while examining the impact of Social Medica Practices on E-learning systems acceptance established that social media practices have significant positive impacts on Perceived Usefulness (PU) and Perceived Ease of Use (PEOU). Smaili et al (2021) proposed a sustainable E-learning system to tackle school dropout. The new model was achieved with an adaptive E-learning system by manipulating the traces left by users' interaction with their learning environment.…”

Section: Related Workmentioning

confidence: 99%

Indian government E-learning initiatives in response to COVID-19 crisis: A case study on online learning in Indian higher education system

et al. 2021

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Recently, the whole world has faced the deadliest and dangerous consequences due to the transmission of infectious novel coronavirus (nCov). With the outbreak of COVID-19, the education learners, practitioners, and other stakeholders were at the sake of a loss, as it causes the suspension of physical classes and physical interaction of the learners. In these circumstances, Electronic learning (E-learning), Online learning, and the use of Information and Communications Technology (ICT) tools came in handy. It helped the learners in the dissemination of ideas, conducting online classes, making online discussion forums, and taking online examinations. Like the government of each country, the Indian government was also caught off-guard but the existing E-learning infrastructure was able to leverage on while devising plans to tailor them to new situations and launching new ones. The initiatives at the forefront of this noble battle launched by the Department of School Education and Literacy, Ministry of Human Resources Development (MHRD) includes Diksha, Swayam Prabha Channel, Shiksha Van, E-Pathshala, and National Repository of Open Educational Resources (NROER). It worth noting that apart from the Indian central government efforts, each state has various online education initiatives that are tailored to their needs. This research evaluated each of these initiatives commenced by central and state governments and present a detailed analysis of most of the relevant initiatives. Additionally, a survey is conducted to get insights of learners in concern to online learning. Despite the issues raised in this learning, the outcomes come to be satisfactorily favoring online learning.

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“…Finally, this paper is a continuation of previous work [17][18][19] in which we propose solutions for predicting learner dropout and improving adaptive learning systems using optimization algorithms.…”

Section: Related Workmentioning

confidence: 83%

Neural Network-Based System to Predict Early MOOC Dropout

et al. 2022

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In recent years, MOOC (Massively Open Online Courses) revolu-tion has transformed the landscape of distance learning. Based on the distribution of educational content, this type of education is expected to undergo the same revolution as all of the traditional sectors of content and service sales, such as music, video, and commerce, due to the emergence of new technologies. How-ever, the completion rate remains a key metric of MOOC success as the number of students registering for a MOOC usually decreases during the course. This rate can reach 2 to 10% at the end of the course. Therefore, predicting dropouts is an excellent way to identify students at risk and make timely decisions. In this study, a prediction model is developed using one of the most widely used methods, the recurrent neural network (RNN). As a result, our model can be considered as an optimal option in terms of accuracy and fit for predicting dropouts in MOOCs.

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Towards Sustainable e-Learning Systems Using an Adaptive Learning Approach

Cited by 12 publications

References 18 publications

Blended Learning Tools and Practices: A Comprehensive Analysis

Blended Learning Tools and Practices: A Comprehensive Analysis

Indian government E-learning initiatives in response to COVID-19 crisis: A case study on online learning in Indian higher education system

Neural Network-Based System to Predict Early MOOC Dropout

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