Development of E-learning Software Based Multiplatform Components

Salamah, Irma; Ganiardi, Muhammad Aris

doi:10.11591/eei.v6i3.647

Cited by 7 publications

(7 citation statements)

References 2 publications

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“…E-learning can be used to help dynamic and flexible learning process between learners and lecturers [3]. It usually is implemented as a learning management system (LMS), a web application that controls the learning process (materials, forums, and evaluation) [4][5].…”

Section: Introductionmentioning

confidence: 99%

E-Learning Effectiveness Analysis in Developing Countries: East Nusa Tenggara, Indonesia Perspective

Sfenrianto¹,

Tantrisna²,

Akbar³

et al. 2018

Bulletin EEI

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The adoption of e-learning in developing countries like Indonesian Universities have been focused in urban areas like the big cities, especially in Java island. There is a lack of development of e-learning in a remote city like Kupang East Nusa Tenggara Indonesia which is located far away from the capital city. This research aims to assess the effectiveness of e-learning by analyzing three factors in one of the higher institution in Kupang city, i.e. Sekolah Tinggi Kesehatan Citra Mandiri Husada Kupang (STIKes CHMK). The factors include culture, technology and infrastructure, and content satisfaction. The data were collected using questionnaires. Research shows that with proper preparation for e-learning, the acceptance of e-learning in rural areas is significantly high. This finding suggests that e-learning can greatly benefit the students like Kupang city in developing countries.

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Section: Introductionmentioning

confidence: 99%

E-Learning Effectiveness Analysis in Developing Countries: East Nusa Tenggara, Indonesia Perspective

Sfenrianto¹,

Tantrisna²,

Akbar³

et al. 2018

Bulletin EEI

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“…In general, the study of the evaluation of ICT-based learning in SMA [26] and the effectiveness of learning with the help of internet in SMK [36] resulted in the fact that community awareness of the use of e-learning improved the qualifications and the attitude of co-learners. Reusability and maintainability qualities of FUOLC"s e-learning [35] helps in the development of a software to anticipate the co-learners" need. Fuzzy based context method predicts the relevant instances among the relevant reviews and the combination of association rules and ontology mining carries out textual analysis [37].…”

Section: Motivation and Backgroundmentioning

confidence: 99%

Enhanced User-driven Ranking System with Splay Tree

Jayashree

Christy

2018

TELKOMNIKA

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E-learning is one of the information and communication technology products used for teaching and learning process [35]. An efficient and effective way to construct trust relationship among peer users in e-learning environment is ranking. User-driven ranking systems are b ased only on the feedb ack or rating provided b y the users. In [46][47][48] the authors provide a variety of trust and reputation methods. Certified Belief in Strength (CBS) [45] is a novel trust measurement method b ased on reputation and strength . In [38] author presents a recommendation system b ased on the relevant feedb ack review to predict the user's interests, that are ranked b ased on the recommendations history they provide previously. Users with higher rating ob tain high reputation compared to less scored users. In question answering web sites like StackOverflow, new or low scored users are ignored b y the community. This discourage them and their involvement with the community reduces further down, as power law states, alleged low users are pu shed to the b ottom of the ranking list. Avoid this condition b y encouraging less reputed users and prevent them from moving further down in ranking level. Thus, low reputed users are provided with few more chances to participate actively in the e-learning environments. A splay tree is a Binary Search Tree with self-b alancing skill. The splay tree b rings the recently accessed item to the top of the tree, thus active users are always on the top of the tree. A splay tree is used to represent user's ranks, and to semi-splay low ranked users again in the tree thus preventing them from further drowning in the ranking list. The focus of this research work is to find and enhance low reputed users in reputation system b y providing few more chances to take part actively in the e-learning environment using the splay tree. Normalized discounted cumulative gain (NDCG) acts as a decision part for identifying drowning users.

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“…The research work has focused on the following: Specific data that go into three sections (data collection, data cleaning and data transformation) through which incorrect and hydrological noise data is to be processed. The learning machine (LM) algorithm enables both inbound and [7]. Back Propagation (BP) neural network consists of two hidden folded layers assembled to predict level [8,9].…”

Section: Introductionmentioning

confidence: 99%

Data mining in web personalization using the blended deep learning model

Abed

Fadhil

Al-Yaseen

2020

IJEECS

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In general, multidimensional data (mobile application for example) contain a large number of unnecessary information. Web app users find it difficult to get the information needed quickly and effectively due to the sheer volume of data (big data produced per second). In this paper, we tend to study the data mining in web personalization using blended deep learning model. So, one of the effective solutions to this problem is web personalization. As well as, explore how this model helps to analyze and estimate the huge amounts of operations. Providing personalized recommendations to improve reliability depends on the web application using useful information in the web application. The results of this research are important for the training and testing of large data sets for a map of deep mixed learning based on the model of back-spread neural network. The HADOOP framework was used to perform a number of experiments in a different environment with a learning rate between -1 and +1. Also, using the number of techniques to evaluate the number of parameters, true positive cases are represent and fall into positive cases in this example to evaluate the proposed model.

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Development of E-learning Software Based Multiplatform Components

Cited by 7 publications

References 2 publications

E-Learning Effectiveness Analysis in Developing Countries: East Nusa Tenggara, Indonesia Perspective

E-Learning Effectiveness Analysis in Developing Countries: East Nusa Tenggara, Indonesia Perspective

Enhanced User-driven Ranking System with Splay Tree

Data mining in web personalization using the blended deep learning model

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