Learning Models Of Adaptive E-Learning System

2017 ◽  
Vol 6 (3) ◽  
Keyword(s):  
Learning System ◽  
Learning Models ◽  
E Learning

scholarly journals Development of E-Learning in a Modern Technical University

2021 ◽  
Author(s):  
Sergey Kulik ◽  
◽  
Ivan Aladyshkin ◽  
Svetlana Kalmykova ◽  
Maria Odinokaya ◽  
...  
Keyword(s):  
Professional Training ◽  
Systematic Approach ◽  
Educational Process ◽  
Learning System ◽  
Educational Institutions ◽  
Learning Models ◽  
New Learning ◽  
E Learning ◽  
Coronavirus Infection ◽  
Engineering Personnel

The article is devoted to the increasing role and prospects for the development of e-learning in modern transformation of higher polytechnic education. In the context of preventing the spread of coronavirus infection COVID-19 and the transition of universities to various forms of distance education, this issue is of particular relevance. The aim of the study is to assess the process of introducing e-learning into the educational process of higher technical educational institutions in Russia. The methodological basis of the work was the analytical and systematic approach to the study of the object of research using methods of data systematization, evaluative analysis and forecasting, as well as logical generalization. The authors come to the conclusion that the introduction of e-learning in technical universities in Russia until recently played a supporting role in the reorganization and optimization of the processes of training engineering personnel. The development of e-learning helped to reduce the costs of the educational process, reduce the number of employees, as well as solve the problem of the classroom fund. An important role in the development of e-learning was played by the desire to increase the rating indicators. The desire to expand non-budgetary sources of funding for modern technical universities and the possibility of implementing new learning models were only additional incentives for expanding the e-learning system. The results of this study can be used in further studying the digitalization of higher education and assessing the prospects for the development of professional training in Russia.

A Novel AR-Based Interactive E-Learning Platform

2011 ◽  
Vol 403-408 ◽  
pp. 1244-1248
Author(s):  
Rong Chi Chang
Keyword(s):  
Life Cycle ◽  
Augmented Reality ◽  
Learning Experience ◽  
Learning System ◽  
Ecological Interactions ◽  
Learning Models ◽  
3D Objects ◽  
Learning Platform ◽  
E Learning ◽  
Virtual Setting

This present study combines augmented reality and interactive multimedia for the construction of a learning system that offers educational knowledge on butterfly metamorphosis, as we call it ARButterfly. The main purpose of designing this learning platform is to apply AR technology to produce innovative interactive learning models that are both fun and educational, creating an enriched learning experience through multimedia. With this platform, learners control the AR markers and are presented with life-like 3D objects to learn about the life cycle of butterflies. In addition, learners are given the opportunity to further observe the ecological interactions between butterflies and flowers or plants in this virtual setting. Our findings show the platform is capable of boosting students’ learning interests and improving their learning effectiveness.

scholarly journals The Effectiveness of Sharing Blended Project Based Learning (SBPBL) Model Implementation in Operating System Course

2020 ◽  
Vol 15 (05) ◽  
pp. 202
Author(s):  
Wahyudi Wahyudi
Keyword(s):  
Higher Education ◽  
Operating System ◽  
Research And Development ◽  
Blended Learning ◽  
Quantitative Research ◽  
Project Based Learning ◽  
Learning System ◽  
Learning Models ◽  
E Learning ◽  
Addie Model

The implementation of e-learning models in higher education have been tested widely, in order to discover their flexibility in research to time, place, students, courses, and other diverse conditions. This paper resulted from testing the implementation of an SBPBL model. This model maximizes shared e-learning resources in project based blended learning. This research used quantitative research design, with Research and Development using the ADDIE model in an Operating System course. Data were collected by questionnaires, interviews, and observation, then analyzed descriptively. Validity, practicality and effectives of the model were confirmed. Therefore, it is suitable to apply this blended learning system in such course.

E-learning experience in schools and colleges with 1C:Education platform

2020 ◽  
pp. 17-24
Author(s):  
T. A. Chernetskaya ◽  
N. A. Lebedeva
Keyword(s):  
Distance Learning ◽  
General Education ◽  
Learning Experience ◽  
Educational Process ◽  
Learning System ◽  
Full Time ◽  
Distance Learning System ◽  
Teachers And Students ◽  
E Learning ◽  
Mass Organization

The article presents the experience of mass organization of distance learning in organizations of secondary general and vocational education in March—May 2020 in connection with the difficult epidemiological situation in Russia. The possibilities of the 1C:Education system for organizing the educational process in a distance format, the peculiarities of organizing distance interaction in schools and colleges are considered, the results of using the system are summarized, examples of the successful use of the system in specific educational organizations are given. Based on the questionnaire survey of users, a number of capabilities of the 1C:Education system have been identified, which are essential for the full-fledged transfer of the educational process from full-time to distance learning. The nature and frequency of the use of electronic educational resources in various general education subjects in schools and colleges are analyzed, the importance of the presence in the distance learning system not only of a digital library of ready-made educational materials, but also of tools for creating author’s content is assessed. On the basis of an impersonal analysis of user actions in the system, a number of problems were identified that teachers and students faced in the process of an emergency transition to distance learning.

Semantic Web Technologies for e-Learning: Models and Implementation

Informatica ◽  
2015 ◽  
Vol 26 (2) ◽  
pp. 221-240 ◽  
Author(s):  
Valentina Dagienė ◽  
Daina Gudonienė ◽  
Renata Burbaitė
Keyword(s):  
Semantic Web ◽  
Learning Models ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
E Learning

An E-learning System in Malaysia based on Green Computing and Energy Level

2017 ◽  
Vol 1 (4-2) ◽  
pp. 184 ◽  
Author(s):  
Arif Ullah ◽  
Nazri Mohd Nawi ◽  
Asim Shahzad ◽  
Sundas Naqeeb Khan ◽  
Muhammad Aamir
Keyword(s):  
Environmental Concern ◽  
Specific Area ◽  
Green Computing ◽  
Learning System ◽  
Main Step ◽  
Primary Concern ◽  
Green Is ◽  
E Learning ◽  
Energy Consuming ◽  
Power And Energy

The increasing of energy cost and also environmental concern on green computing gaining more and more attention. Power and energy are a primary concern in the design and implementing green computing. Green is of the main step to make the computing world friendly with the environment.  In this paper, an analysis on the comparison of green computer with other computing in E-learning environment had been done. The results show that green computing is friendly and less energy consuming. Therefore, this paper provide some suggestions in overcoming one of main challenging problems in environment problems which need to convert normally computing into green computing. In this paper also, we try to find out some specific area which consumes energy as compared to green computing in E –learning centre in Malaysia. The simulation results show that more than 30% of energy reduction by using green computing.

Toward a Hybrid Recommender System for E-learning Personnalization Based on Data Mining Techniques

2018 ◽  
Vol 2 (4) ◽  
pp. 271 ◽  
Author(s):  
Outmane Bourkoukou ◽  
Essaid El Bachari
Keyword(s):  
Learning Style ◽  
Recommender System ◽  
Adaptive Learning ◽  
Learning Objects ◽  
Research Field ◽  
Learning System ◽  
K Nearest Neighbors ◽  
E Learning ◽  
Hybrid Recommender System ◽  
Hybrid Recommender

Personalized courseware authoring based on recommender system, which is the process of automatic learning objects selecting and sequencing, is recognized as one of the most interesting research field in intelligent web-based education. Since the learner’s profile of each learner is different from one to another, we must fit learning to the different needs of learners. In fact from the knowledge of the learner’s profile, it is easier to recommend a suitable set of learning objects to enhance the learning process. In this paper we describe a new adaptive learning system-LearnFitII, which can automatically adapt to the dynamic preferences of learners. This system recognizes different patterns of learning style and learners’ habits through testing the psychological model of learners and mining their server logs. Firstly, the device proposed a personalized learning scenario to deal with the cold start problem by using the Felder and Silverman’s model. Next, it analyzes the habits and the preferences of the learners through mining the information about learners’ actions and interactions. Finally, the learning scenario is revisited and updated using hybrid recommender system based on K-Nearest Neighbors and association rule mining algorithms. The results of the system tested in real environments show that considering the learner’s preferences increases learning quality and satisfies the learner.

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