scholarly journals ECOPOLYTECHNIC: A SUSTAINABLE AND FLEXIBLE E-LEARNING SYSTEM FOR AGILE SMART LEARNING SCENARIOS

2020 ◽  
Keyword(s):  
Learning System ◽  
Smart Learning ◽  
E Learning ◽  
Learning Scenarios

scholarly journals Learning Management System versus Social Networking Sites

2017 ◽  
Vol 10 (6) ◽  
pp. 123 ◽  
Author(s):  
Tasneem F. Alfalah ◽  
Salsabeel F. Alfalah ◽  
Jannat F. Falah ◽  
Walaa Qutaishat ◽  
Wa’ed Ishretih ◽  
...  
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Learning System ◽  
Network Services ◽  
Communication Tool ◽  
Multiple Sources ◽  
Smart Learning ◽  
E Learning ◽  
Learning Management ◽  
The University

Purpose - The motive of this study was the notice of the constant movement of the students in The University of Jordan (UJ) from official communities to creating groups on SNSs. The purpose of this paper is to illustrate an analysis about students’ usage of E-learning and Facebook, and identifies the major functions that are missing in the e-learning system. This paper firstly, compared students’ usage for Learning Management Systems (LMSs) vs. Social Networking Sites (SNSs), and secondly, investigated the students’ perceptions towards educational value of integrating social networking features in the LMS through Mobile Learning (m-learning).Design/methodology/approach – Data were collected from students from multiple sources: observation, interviews, and survey. The obtained results formed students perceptions toward currently used LMS in the university and SNSs, which lead to extracting their requirements to enhance the LMS used.Findings – The results of this research emphasize the importance of SNSs as a communication tool and the development of e-learning systems to move beyond LMS and engage students in an active use of the system as a resource of their information and collaborative activities.Originality/value –This study contributes to examining UJ students’ perceptions toward embedding the characteristics of the smart learning and the social network services into an e-learning system. In contrast to previous studies in enhancing LMS by just integrating features of SNSs into LMS without utilizing smart learning.

scholarly journals Perancangan Sistem Informasi Sosial Learning Untuk Mendukung Pembangunan Kota Tangerang Dalam Meningkatkan Smart City Berbasis Android

2019 ◽  
Vol 5 (2) ◽  
pp. 59-67
Author(s):  
Niki Ratama ◽  
Munawaroh
Keyword(s):  
Human Capital ◽  
Smart City ◽  
Object Oriented ◽  
Learning System ◽  
Research Development ◽  
Analysis And Design ◽  
Smart Learning ◽  
Model Object ◽  
E Learning ◽  
Object Oriented Analysis

Kota Tangerang selalu terus bertransformasi dalam perkembangan termasuk menjadi suatu kota yang smart city. dimana memberikan sebuah layanan yang memudahkan masyarakat dalam memberikan akses informasi kepada masyarakat tersebut hingga akan mewujudkan pemerintahan yang bersih dengan keterbukaan akan informasi, untuk menjadikan Kota Tangerang menjadi kota cerdas sangat perlu memanfaatkan sebuah teknologi informasi, salah satunya adalah pendekatan antara smart city dan smart people. Faktor yang berpengaruh dalam smart people adalah sebuah pendidikan atau sebuah pelatihan baik berupa edukasi secara langsung atau penyuluhan dilapangan ataupun juga yang sifatnya e-learning, human capital and research, development and innovation. pembuatan sistem informasi sosial learning dalam penyampaian sebuah e-learning dalam pemberian edukasi dan sebuah informasi merupakan salah satu cara yang dapat digunakan dalam menciptakan masyarakat yang smart people. dimana melihat karakteristik masyarakat kota tangerang yang sering menggunakan teknologi informasi khususnya media internet dan gadget berupa smartphone berbasis android, maka pembuatan sistem informasi sosial learning berbasis android dirancang dengan konsep Smart Learning System. pembuatan sistem informasi sosial learning ini secara utuh dimulai dari tahap Analisis dan Desain Aplikasi, tahap rancangan bangun dalam membuat sistem informasi ini menggunakan prosedur model Object-Oriented Analysis and Design (OOAD) dimana memiliki tahapan yang prosedural dalam analisis data dan desainnya, dengan adanya sistem informasi penyedia pembelajaran sosial ini diharapkan dapat meningkatkan pembangunan smart city melalui smart people pada Kota Tangerang. Kata Kunci : Smart City, OOAD, Learning

Culturally Aware Mathematics Education Technology

2011 ◽  
pp. 543-557 ◽  
Author(s):  
Erica Melis ◽  
Giorgi Goguadze ◽  
Paul Libbrecht ◽  
Carsten Ullrich
Keyword(s):  
Learning Environments ◽  
Cultural Context ◽  
Mathematics Learning ◽  
Learning Objects ◽  
Learning System ◽  
Computational Techniques ◽  
Learning Material ◽  
Conditions For Learning ◽  
E Learning ◽  
Learning Scenarios

Education and learning take place in a situation that is heavily influenced by the culture. The learners’ cultural context affects cognitive processes in learning. Hence, to improve the conditions for learning, e-learning environments and their contents have to interact with the learner in a culturally appropriate way. Therefore, an e-learning system intended for cross-cultural usage has to adapt to the students’ diverse cultural background. For the enculturation of the European platform for mathematics learning, ActiveMath, a number of dimensions are adapted culturally. These are: presentation of system and learning material, terminology, selection and sequencing of learning objects, interaction, and learning scenarios. This chapter describes ActiveMath’ enculturation: computational model, computational techniques, and the empirical basis for the cultural adaptation.

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.

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.

Sign in / Sign up

Export Citation Format

Share Document