scholarly journals THE INFLUENCE MODEL OF KNOWLEDGE REPRESENTATION ON KNOWLEDGE QUALITY

2012 ◽  
Vol 5 (1) ◽  
pp. 30-36
Author(s):  
Valentyna Shvets
Keyword(s):  
Knowledge Representation ◽  
Intellectual Curiosity ◽  
Training Conditions ◽  
Influence Model ◽  
Learning Platform ◽  
Knowledge Quality ◽  
E Learning ◽  
Level Of Knowledge ◽  
The Brain ◽  
And Training

ABSTRACT The influence model of knowledge representation and training character testing in MOODLE on progress of students has been investigated in the article. The knowledge representation in the form of graphs and frames is able to raise the level of knowledge significantly. The using of the animation (in Flash and SketchUp) leads to better memorization of information owing subconscious reaction of students. The testing of students in training conditions of e-learning platform MOODLE makes more active the programme of the intellectual curiosity that is the function of the brain.

i-DERASSA: e-learning Platform based on Augmented and Virtual Reality interaction for Education and Training

2021 ◽  
Author(s):  
Kahina Amara ◽  
Nadia Zenati ◽  
Oualid Djekoune ◽  
Mohamed Anane ◽  
Ilhem Kheira Aissaoui ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Education And Training ◽  
Learning Platform ◽  
E Learning ◽  
And Training

scholarly journals “The Postman Always Rings Twice”: Evaluating E-Learning Platform a Decade Later

2016 ◽  
Vol 11 (02) ◽  
pp. 35
Author(s):  
Alessandra Ballarano ◽  
Francesco Colace ◽  
Massimo De Santo ◽  
Luca Greco
Keyword(s):  
Evaluation Model ◽  
Life Long Learning ◽  
Learning Platform ◽  
E Learning ◽  
On Line ◽  
Learning Platforms ◽  
Technical Features ◽  
On Line Learning ◽  
And Training ◽  
The Web

E-Learning represents an effective answer to the continuous request for life-long learning. In fact, this approach allows the flexibility and quality requested by such a kind of learning process. In this scenario, a great number of E-Learning platforms have been introduced on the market and their selection is not a trivial task: various features should be taken into account during the evaluation of an E-Learning platform. Obviously, the analysis of the technical features of an E-Learning platform is not enough: it is also important to understand how it can be integrated in the didactic context in order to facilitate learning and training and what principles are applied to guide the way the system is used. A decade ago, the authors of this paper introduced a model for describing and characterizing on-line learning platform components. Today, the aim of this paper is to evaluate and upgrade this model. During this period, many things have changed in the Web (the introduction of social networks, new multimedia protocols, etc.): what has changed in the E-Learning platforms? Today how to evaluate the E-Learning platforms? In this paper the evaluation model will be updated and then used to evaluate the most known existing platforms.

DESIGNING E-LEARNING RESOURCES FOR TEACHING MATHEMATICS IN PRIMARY SCHOOL WITH ADOBE FLASH AND HTML5 SYSTEMS

2018 ◽  
pp. 49-57
Author(s):  
N. A. Gluzman
Keyword(s):  
Primary School ◽  
Web Applications ◽  
Special Importance ◽  
Learning Resources ◽  
Multimedia Presentations ◽  
Adobe Flash ◽  
E Learning ◽  
High Level ◽  
And Training ◽  
Training Practice

In the modern educational space regarding the realities of the information society special importance is attached to issues related to the provision of a high level of informatization of education, which implies teachers’ mastering the necessary competencies and the ability to introduce e-learning resources into educational and training practice. Adobe Flash as one of the platforms for creating web applications and multimedia presentations enjoys greatest popularity with users including teachers. However, in connection with the announcement of discontinuing Adobe Flash support in 2020, the issue of choosing an analog to create web applications and presentations for use in teaching purposes is becoming particularly relevant. The article provides a comprehensive analysis of developing electronic educational resources by teachers using Adobe Flash and HTML5 for teaching math in primary school.

Cloud-Based E-Learning Platform

2016 ◽  
Vol 15 (5) ◽  
pp. 109-130 ◽  
Author(s):  
Mohsen El-Shawarby
Keyword(s):  
Learning Platform ◽  
E Learning

scholarly journals Validation of a TAM Extension in Agriculture: Exploring the Determinants of Acceptance of an e-Learning Platform

2021 ◽  
Vol 11 (10) ◽  
pp. 4672
Author(s):  
Ivonne Angelica Castiblanco Jimenez ◽  
Laura Cristina Cepeda García ◽  
Federica Marcolin ◽  
Maria Grazia Violante ◽  
Enrico Vezzetti
Keyword(s):  
Technology Acceptance ◽  
Time Management ◽  
Agricultural Sector ◽  
Geographical Location ◽  
Ease Of Use ◽  
Content Quality ◽  
Learning Platform ◽  
Primary Determinant ◽  
E Learning ◽  
Acceptance Model

Supporting education and training initiatives has been identified as an effective way to address Sustainable Development Challenges. In this sense, e-learning stands out as one of the most viable alternatives considering its advantages in terms of resources, time management, and geographical location. Understanding the reasons that move users to adopt these technologies is critical for achieving the desired social objectives. The Technology Acceptance Model (TAM) provides valuable guidelines to identify the variables shaping users’ acceptance of innovations. The present study aims to validate a TAM extension designed for FARMER 4.0, an e-learning application in the agricultural sector. Findings suggest that content quality (CQ) is the primary determinant of farmers’ and agricultural entrepreneurs’ perception of the tool’s usefulness (PU). Furthermore, experience (EXP) and self-efficacy (SE) shape potential users’ perceptions about ease of use (PEOU). This study offers helpful insight into the design and development of e-learning applications in the farming sector and provides empirical evidence of TAM’s validity to assess technology acceptance.

scholarly journals Multi-Agent System Observer: Intelligent Support for Engaged E-Learning

Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1370
Author(s):  
Igor Vuković ◽  
Kristijan Kuk ◽  
Petar Čisar ◽  
Miloš Banđur ◽  
Đoko Banđur ◽  
...  
Keyword(s):  
Machine Learning ◽  
Machine Learning Algorithms ◽  
Intelligent Support ◽  
Course Success ◽  
States Of Emergency ◽  
Learning Platform ◽  
Rapid Spread ◽  
E Learning ◽  
Multi Agent ◽  
Observer System

Moodle is a widely deployed distance learning platform that provides numerous opportunities to enhance the learning process. Moodle’s importance in maintaining the continuity of education in states of emergency and other circumstances has been particularly demonstrated in the context of the COVID-19 virus’ rapid spread. However, there is a problem with personalizing the learning and monitoring of students’ work. There is room for upgrading the system by applying data mining and different machine-learning methods. The multi-agent Observer system proposed in our paper supports students engaged in learning by monitoring their work and making suggestions based on the prediction of their final course success, using indicators of engagement and machine-learning algorithms. A novelty is that Observer collects data independently of the Moodle database, autonomously creates a training set, and learns from gathered data. Since the data are anonymized, researchers and lecturers can freely use them for purposes broader than that specified for Observer. The paper shows how the methodology, technologies, and techniques used in Observer provide an autonomous system of personalized assistance for students within Moodle platforms.

scholarly journals The Impact of Narrative Feedback, E-Learning Modules and Realistic Video and the Reduction of Misconception

2021 ◽  
Vol 11 (4) ◽  
pp. 158
Author(s):  
Abdul Halim ◽  
Elmi Mahzum ◽  
Muhammad Yacob ◽  
Irwandi Irwandi ◽  
Lilia Halim
Keyword(s):  
Biology Education ◽  
Free Fall ◽  
Percentage Reduction ◽  
Significant Treatment ◽  
Learning Modules ◽  
Physics Courses ◽  
Learning Platform ◽  
Quasi Experimental ◽  
E Learning ◽  
The Impact

Physics learning in universities utilized the Moodle-based e-learning media as an online learning platform. However, the effectiveness of remediating misconception using online media has not been widely researched. Therefore, this study was set to determine the level of misconception percentage reduction through the use of narrative feedback, the e-learning modules, and realistic video. The study was a quantitative approach with a quasi-experimental method involving 281 students who were taking basic physics courses in the Department of Physics, Chemistry, and Biology Education. The data collection used a three-tier diagnostic test based on e-learning at the beginning of the activity and after the treatment (posttest). The results of the data analysis with descriptive statistics show that the most significant treatment in reducing misconception percentage on the topic of free-fall motion was in the following order: narrative feedback, e-learning modules and realistic video. The misconception percentage reduction in the sub-concept of accelerated free- fall was effective for all types of the treatments.

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