scholarly journals CBR-Mining Approach to Improve Learning System Engineering in a Collaborative E-Learning Platform

Author(s):  
Fatima Zahra Berriche ◽  
Besma Zeddini ◽  
Hubert Kadima ◽  
Alain Riviere
Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Luyan Teng ◽  
Qinyi Tan ◽  
Ali Ehsani

PurposeOne of the most significant threats of COVID-19 in the world is the closure of universities, schools, training courses and even companies and organizations. In such a situation and with the free time that has arisen, this threat of education closure can become a golden opportunity for learning and progress in virtual education. E-learning uses information technology (IT) to distribute knowledge and information for training and education. Also, cloud computing is a technology utilized in the IT domain. It can be employed in performing e-learning. Therefore, the main goal of this study is to assess the impact of cultural characteristics, economic situations, skills and knowledge on the development and success of CELS in the COVID-19 era.Design/methodology/approachCloud-based e-learning system (CELS) provides all e-learning requirements like software and hardware resources to promote conventional e-learning technologies. The CELS stands on several factors of diverse aspects that have been of high significance in CELS success. So, these systems must be checked to analyze their significance rate and successfully carry out their effectiveness. On the other hand, these days, the 2019 coronavirus disease (COVID-19) changes our daily lifestyles. Therefore, the present investigation provides a new model investigating the development and success of CELS in the COVID-19 era. Also, an online questionnaire was used to gather the data. The content validity of the questionnaire was obtained by applying the opinions of ten experts from e-learning specialists. The collected data are analyzed using LISREL and Smart PLS software.FindingsThe results from the path coefficient and the sample t-test have implied that skills and knowledge positively influence CELS in the COVID-19 era. In addition, the relationship between cultural characteristics and CELS in the COVID-19 era has been positive and significant. The relationship between the economic situations and the CELS in the COVID-19 era is positive and significant.Practical implicationsThe proposed model helps managers get a big picture of CELS necessities and more effectively in the COVID-19 era. This research has a unique impact on universities to develop an e-learning platform to facilitate the education process in the COVID-19 era. It provides guidelines for educational institutions to effectively implement the learning management system to facilitate students' education.Originality/valueCELS are getting increasingly essential to offer training courses more efficiently in educational institutions. Although the intersection between cloud computing and e-learning has increasingly grown in both practical and academic contexts, few studies on the impact of cultural characteristics, economic situations, skills and knowledge on the development and success of CELS in the COVID-19 era. This paper explores the ignored but critically important subject of CELS. This paper's main contribution is to present a new and integrated model containing the essential aspects of the development and success of CELS in the COVID-19 era. The proposed framework comprises cultural characteristics, economic situations, skills and knowledge aspects simultaneously, as well as sub-criteria denoting each element.


Author(s):  
A. A. Azeta ◽  
Charles K. Ayo ◽  
Aderemi Aaron Anthony Atayero ◽  
Nicholas Ikhu-Omoregbe

Government establishments are most times highly involved in different reorganization programs. The processes in e-Government are diversified and complex, hence the need for an appropriate training and learning strategy for governmental employees. Changing business processes and organizational structures always mean that the personnel have to be familiar with the changed procedures. Consequently, the employees need to be trained to develop capacity for new responsibilities. Existing methods of learning and training do not make provision for certain category of employees such as the visually impaired. They do not provide an alternative learning platform for government of employees that are not physically challenged. Many studies have demonstrated the value of several learning platforms, including mobile learning (m-Learning) but with the problems of access barriers and streamlined participation of most learners. The purpose of this chapter is to propose a voice-based e-Learning system, also known as voice-learning (v-Learning) as a variant of the m-Learning with particular relevance for the visually and mobility impaired learners. V-Learning makes possible ubiquitous learning in e-Government and provides additional capacity and speed of response to help facilitate change. Cost reduction is also achieved and there is no shortage of teachers.


2020 ◽  
Vol 17 (9) ◽  
pp. 4585-4592
Author(s):  
Nidhi Gupta ◽  
Neeraj Sharma ◽  
Sanjay Sood

The teaching-learning process, especially in higher education has always been a matter of great concern in developing countries as it makes the nation’s youth capable and is a mainstay towards its development. With the introduction of ICT, it has become even more important to change the learning methodology using the latest technologies like e-Learning, m-Learning, Cloud Computing etc., to match with the education standards of developed countries. This aim of this paper is to provide an insight about the use of e-Learning and cloud computing in HEIs. The paper also discusses the various cloud based adoption technologies used for HEIs and illustrates the comparative analysis of the web based and cloud based e-Learning system.


Techno Com ◽  
2021 ◽  
Vol 20 (4) ◽  
pp. 518-526
Author(s):  
Remuz Maurenz Bertho Kmurawak ◽  
Samuel Alexander Mandowen

E-learning is one of the revolutions in the education system that encourages the acceleration of quality learning. The Covid-19 pandemic has become a catalyst for accelerating the implementation of e-learning in Jayapura, Papua. Teachers are required to be able to adapt to this rapid change. Thus, E-learning becomes essential amid the pandemic, yet the ICT indicators reveal many barriers to implementing it. This study aims to assess the level of readiness of the teachers in implementing the e-learning system. Data was collected by distributing questionnaires to the teachers from elementary to high school in Jayapura City. Technology infrastructures, human resources, and e-learning content were the main variables to measure. This study indicated that based on teachers' perceptions, more than 70 percent were using google classroom as an e-learning platform. The level of readiness was level 3 (ready with minor improvements). Infrastructures, internet access, and e-learning content availability are the indicators that needed extra attention for improvement


2021 ◽  
Vol 16 (02) ◽  
pp. 12-32
Author(s):  
Giorgi Abashishvili Giorgi Abashishvili

E-learning has an increasingly important role within the ever-growing tertiary education system in many developed countries. While the research on e-learning is still relatively a novel discipline, with even a universally accepted definition being absent, there are numerous indications pointing to its increasing importance. For example, in the US alone, some 35% of university students take at least one online degree, while the ratio has been steadily increasing in the recent years. There are numerous underlying factors which support the intensification of e-learning. Most countries cannot keep up with the increasing demand for tertiary education by merely expanding their traditional universities – be it because of high needed fixed investments, or because or elevated costs of engaging the relatively scarce teaching staff. In the same time, the ICT revolution – as well as the ongoing COVID outbreak – both facilitate and require shifts to a delocalized contact between students and the teaching staff. In sum, this provides many developing countries with a mechanism of provision of tertiary education to large masses of prospective students without having to invest in physical infrastructure. However, this is not a process without challenges. Regulation in many countries is only yet to cope with these technology and demography-induced shifts in education. Some academic fields are not yet appropriate for distance learning. Cheating and plagiarism could be widespread if not tackled with appropriate strategies and technological solutions. This document examines these elements by providing an overview of the experiences in some of the countries where the e-learning system already took deep roots. Georgia has much to gain if it includes e-learning in its tertiary education system. Georgia at this moment is, seemingly, one of the few relatively developed countries which still do not have a fully-fledged and accredited e-learning platform within its tertiary education system. However, as World Bank data show, some 64% of Georgia’s high school graduates successfully enroll to a university, which is approx. 10 percentage points lower than OECD average, or as much as 25-30 percentage points lower than some of the world’s top education performers, such as Finland, the Netherlands or South Korea. While this gap needs to be bridged if Georgia is to tap the potential of the ongoing technological revolution, introduction of e-learning to its system may be of significant help, while it would not incur large additional costs. Indeed, numerous international examples show that in many countries, the number of students enrolled to universities soared following the introduction of e-learning, while the quality of education has not declined. In terms of increasing the base of potential enrollments, in Georgia’s case it is important to underline that e-learning may also be a mean of reaching out and connecting with members of the numerous Georgian diaspora. Also, setting up an e-learning platform also helps the universities to engage top lecturers in many educational domains at relatively low cost, meaning that more students may be given a higher quality education. COVID-19 outbreak is a case in point. The ongoing pandemics outbreak has shown, among other, that true business continuity for many education institutions, at all education levels, could have only been reached by employing adequate e-learning procedures. This means that those who have already instituted some forms of e-learning had fewer difficulties in overcoming the operative issues, while continuing to deliver education. Keywords: Higher education, E-lerning.


2021 ◽  
Author(s):  
Vinay Kumar Yadav ◽  
Sanjeev Yadav

Abstract Learning through the Web or training via e-learning is rising exponentially and is gradually preferred by conventional ways of education and training. This massive change is directly related to digital computer technological advancement. The transformation driven by innovation in computer technology has enhanced the reach of e-learning and education, making the process of sharing knowledge easy, clear, and efficient. The E-learning system relies on various success factors from several viewpoints, such as framework, organisational alignment, instructor, and student support. This paper aims to identify the critical barriers to the Internet of Thing implementation in e-learning and to establish a relational relationship between identified barriers using the Interpretive Structural Modelling approach. This paper has established some primary barriers that are useful for Internet of Things implementation in E-learning by research scholars and industrial practitioners. For the study of the driving force and dependency power of the E-learning barrier, Interpretive Structural Modelling methodology was used to classify interrelationships between barriers for improved understanding and relationships between these barriers, and Management Cross Impact Multiplications were conducted to estimate the magnitude of these relationships. Applied to classification analysis, which is used for analysing the driving power and dependence power of E-learning barriers.


Processes ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1454
Author(s):  
Aziz Ilyosov ◽  
Alpamis Kutlimuratov ◽  
Taeg-Keun Whangbo

Recently proposed recommendation systems based on embedding vector technology allow us to utilize a wide range of information such as user side and item side information to predict user preferences. Since there is a lack of ability to use the sequential information of user history, most recommendation system algorithms fail to predict the user’s preferences more accurately. Therefore, in this study, we developed a novel recommendation system that takes advantage of sequence and heterogeneous information in the candidate-generation process. The principle underlying the proposed recommendation model is that the new sequence based embedding layer in the model catches the sequence pattern of user history. The proposed deep-learning model may improve the prediction accuracy using user data, item data, and sequential information of the user’s profile. Experiments were conducted on datasets of the Korean e-learning platform, and the empirical results confirmed the capability of the proposed approach and its superiority over models that do not use the sequences of the heterogeneous information of users and items for the candidate-generation process.


Author(s):  
Khalid Almohammadi ◽  
Hani Hagras ◽  
Daniyal Alghazzawi ◽  
Ghadah Aldabbagh

Abstract Technological advancements within the educational sector and online learning promoted portable data-based adaptive techniques to influence the developments within transformative learning and enhancing the learning experience. However, many common adaptive educational systems tend to focus on adopting learning content that revolves around pre-black box learner modelling and teaching models that depend on the ideas of a few experts. Such views might be characterized by various sources of uncertainty about the learner response evaluation with adaptive educational system, linked to learner reception of instruction. High linguistic uncertainty levels in e-learning settings result in different user interpretations and responses to the same techniques, words, or terms according to their plans, cognition, pre-knowledge, and motivation levels. Hence, adaptive teaching models must be targeted to individual learners’ needs. Thus, developing a teaching model based on the knowledge of how learners interact with the learning environment in readable and interpretable white box models is critical in the guidance of the adaptation approach for learners’ needs as well as understanding the way learning is achieved. This paper presents a novel interval type-2 fuzzy logic-based system which is capable of identifying learners’ preferred learning strategies and knowledge delivery needs that revolves around characteristics of learners and the existing knowledge level in generating an adaptive learning environment. We have conducted a large scale evaluation of the proposed system via real-word experiments on 1458 students within a massively crowded e-learning platform. Such evaluations have shown the proposed interval type-2 fuzzy logic system’s capability of handling the encountered uncertainties which enabled to achieve superior performance with regard to better completion and success rates as well as enhanced learning compared to the non-adaptive systems, adaptive system versions led by the teacher, and type-1-based fuzzy based counterparts.


2021 ◽  
Vol 12 (2) ◽  
pp. 339-347
Author(s):  
Cenderato Cenderato ◽  
Oktavianey Gasperius Patana Hamahena Meman ◽  
Mukarramah Mukarramah

ABSTRAKPenelitian ini bertujuan mengali penggunaan e-learning oleh para guru di sekolah-sekolah Katolik di Kalimantan Barat. Permasalahan yang menjadi focus penelitian adalah “Apa sajakah Platform e-learning yang digunakan oleh para guru di sekolah-sekolah Katolik di Kalbar? Bagaimanakah peng-aplikasian Platform e-learning dan kendalanya? Bagaimanakah sikap (attitudes) para guru terhadap penggunaan media berbasis e-learning?” Subjek penelitian adalah para guru yang mengajar di sekolah Katolik. Sample penelitian diambil secara acak menggunakan purposive sampling. Teknik pengumpulan data menggunakan angket dan wawancara terbuka di sekolah-sekolah Katolik. Berdasarkan hasil penelitian, 53,8% guru di beberapa SMA/SMK di Kalbar menggunakan Platform E-learing model Google Classroom terutama didaerah perkotaan atau daerah yang tidak mengalami kendala signal internet. Namun tidak sedikit juga guru SMK/SMA yang masih sulit dalam mengaplikasikan e-learing dan akhirnya menggunakan system blended learning. Para responden sependapat bahwa pembelajaran melalui e-learning sangat relevan dengan situasi pandemi COVID-19 walaupun terkesan dipaksakan karena ketidaksiapan guru maupun siswa.Kata Kunci: e-learnng, Platform, attitude, Guru ABSTRACTThis study aims to explore the use of e-learning by teachers in Catholic schools in West Kalimantan. The focuses of the research were “What are the e-learning platforms used by teachers in Catholic schools in West Kalimantan? How is the application of the e-learning Platform and the obstacles? What are the attitudes of the teachers towards the use of e-learning-based media?”The research subjects were teachers who teach in Catholic schools. The research sample was taken randomly using purposive sampling. Techniques of data collection were questionnaires and open interviews. Based on the results of the study, 53.8% of teachers in several high schools / vocational schools in West Kalimantan used the Google Classroom, especially in urban areas or areas with good internet signal access. However, some vocational/ high school teachers are still difficult to apply e-learning and finally use a blended learning system. The respondents also agreed that learning through e-learning is very relevant to the COVID-19 pandemic situation, even though it seems forced due to the unpreparedness of teachers and students.Keywords: e-learnng, Platform, attitude, teachers


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