scholarly journals A New Approach based on a Multi-ontologies and Multi-agents System to Generate Customized Learning Paths in an E-Learning Platform

2010 ◽  
Vol 12 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Jaber El Bouhdidi ◽  
Mohamed Ghailani ◽  
Otman Abdoun ◽  
Abdelhadi Fennan
Keyword(s):  
New Approach ◽  
Learning Platform ◽  
E Learning ◽  
Learning Paths ◽  
Customized Learning ◽  
Multi Agents

scholarly journals Cloud-Based Interactive Hands free E-Learning Environment for Students with Disabilities

2019 ◽  
Vol 8 (4) ◽  
pp. 8511-8516
Keyword(s):  
Students With Disabilities ◽  
Motor Skills ◽  
Voice Recognition ◽  
Computer Software ◽  
Gaming Industry ◽  
Learning Platform ◽  
E Learning ◽  
Xbox Kinect ◽  
Learning Platforms ◽  
Customized Learning

In this study, cloud based innovative methods are introduced that allow users with motor skills impairments to access the customized learning platforms. The complete methodology relies on the development of existing technology originally developed for the Gaming Industry; Microsoft Xbox Kinect Sensor. A novel learning platform is developed for teaching students with motor skills impairments and other types of disabilities to learn Quran Recitation. The platform is integrated with a modified Kinect that allows users to access the computer software without the use of a traditional keyboard and mouse. The Kinect then acts as the interface between the uses and software. The system is designed based on the two approaches; hand-free operations via head motion and voice recognition to control the selection of items in the learning platform. For voice recognition, a dataset has also been built for training and initial testing for supervised learning. Extensive tests have been performed that proved the success of the system. This novel methodology provides a research platform for those interested in enabling students with motor skill impairments and students with disabilities in general

scholarly journals A New Learning Path Model for E-Learning Systems

2021 ◽  
Vol 19 (2) ◽  
pp. 20-40
Author(s):  
David Brito Ramos ◽  
Ilmara Monteverde Martins Ramos ◽  
Isabela Gasparini ◽  
Elaine Harada Teixeira de Oliveira
Keyword(s):  
Student Behavior ◽  
Group Formation ◽  
Learning Systems ◽  
Learning System ◽  
Path Model ◽  
New Approach ◽  
Learning Path ◽  
E Learning ◽  
Learning Paths ◽  
Collaborative Activities

This work presents a new approach to the learning path model in e-learning systems. The model uses data from the database records from an e-learning system and uses graphs as representation. In this work, the authors show how the model can be used to represent visually the learning paths, behavior analysis, help to suggest group formation for collaborative activities, and thus assist the teacher in making decisions. To validate the practical utility of the model, the authors created two tools, one to visualize the learning paths and another to suggest groups of students for collaborative activities. Both tools were tested in a real environment, presenting useful results. The authors carried experiments with students from three programs: physics, electrical engineering, and computer science. Experiments show that it is possible to use the proposed learning path to analyze student behavior patterns and recommend group formation with positive results.

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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