scholarly journals Texmatrix – The knowledge matrix for innovation applied to textile enterprises

2019 ◽  
Vol 70 (02) ◽  
pp. 197-202
Author(s):  
RĂDULESCU ION-RĂZVAN ◽  
ALMEIDA LUIS ◽  
VANNUCCI ROBERTO ◽  
BLAGA MIRELA ◽  
DUFKOVA PETRA ◽  
...  
Keyword(s):  
Swot Analysis ◽  
Open Educational Resources ◽  
Enterprise Management ◽  
Free Access ◽  
European Languages ◽  
Learning Platform ◽  
Individual Enterprise ◽  
E Learning ◽  
Enterprise Level ◽  
Educational Modules

Several enterprise management instruments are used to support innovation. The Knowledge Matrix for Innovation (KMI) quantifies intangible assets of an enterprise in order to keep an improved inventory, gap bridges and eliminate redundancies. The KMI was defined and implemented for textile enterprises within the Erasmus+ project TexMatrix, in order to respond to their innovation needs: the KMI was transformed to a Benchmarking questionnaire, a Benchmarking study was conducted with 64 European textile enterprises and Reports on European, national and individual enterprise level were created. The needs of the enterprises were drawn from a SWOT analysis of the European Benchmarking report: 35 project solutions provided by the consortium partners were assigned to six main Opportunities of SWOT analysis. These project solutions contain results in fields like: research, market and training. The solutions altogether with three educational modules for supporting innovation were implemented within an e-learning course in five European languages of the project’s partners: English, Italian, Portuguese, Romanian and Slovenian. The Moodle e-learning course includes various resources (Book, Video) and activities (Quiz, Glossary, Chat and Forum).Training was performed for 199 textile professionals within 8 multiplier events and for 137 young students within 5 blended courses. Textile professionals expressed their interest in implementing some of the project solutions. All created Open Educational Resources are available with free access on the project’s e-learning platform: www.advan2tex.eu/portal/.

scholarly journals An Interoperability Framework of Open Educational Resources and Massive Open Online Courses for Sustainable e-Learning Platform

2016 ◽  
Vol E99.D (8) ◽  
pp. 2140-2150 ◽  
Author(s):  
Sila CHUNWIJITRA ◽  
Chanchai JUNLOUCHAI ◽  
Sitdhibong LAOKOK ◽  
Pornchai TUMMARATTANANONT ◽  
Kamthorn KRAIRAKSA ◽  
...  
Keyword(s):  
Online Courses ◽  
Open Educational Resources ◽  
Educational Resources ◽  
Massive Open Online Courses ◽  
Massive Open Online ◽  
Learning Platform ◽  
E Learning

scholarly journals SMART TEXTILES TO PROMOTE MULTIDISCIPLINARY STEM TRAINING

2019 ◽  
Vol 2019 ◽  
pp. 174-177
Author(s):  
Ion Razvan RADULESCU ◽  
Carmen GHITULEASA ◽  
Emilia VISILEANU ◽  
Lilioara SURDU ◽  
Razvan SCARLAT ◽  
...  
Keyword(s):  
Textile Industry ◽  
Strategic Partnership ◽  
Vocational Education And Training ◽  
Free Access ◽  
Smart Textiles ◽  
Learning Platform ◽  
Smart Textile ◽  
Project Smart ◽  
E Learning ◽  
Design And Manufacture

Smart textiles consist of multi-disciplinary knowledge. Disciplines such as physics, mathematics, material science or electrics is needed in order to be able to design and manufacture a smart textiles product. This is why knowledge in smart textiles may be used to showcase high school and university students in basic years of preparation some applications of technical disciplines they are learning. The Erasmus+ project “Smart textiles for STEM training – Skills4Smartex” is a strategic partnership project for Vocational Education and Training aiming to promote additional knowledge and skills for trainees in technical fields, for a broader understanding of interconnections and application of STEM, via smart textiles. Skills4Smartex is an ongoing project within the period Oct. 2018-Sept. 2020, with a partnership of six research providers in textiles www.skills4smartex.eu. The project has three intellectual outputs: the Guide for smart practices (O1), the Course in smart textiles (O2) and the Dedicated e-learning Instrument (O3). The Guide for smart practices consists in the analysis of a survey with 63 textile companies on partnership level and interviews with 18 companies. Main aim of O1 is to transfer from source site to target sites technical and smart textile best practices and the profile of workforce needed for the future textile industry. The needs analysis achieved within O1will serve to conceive the Course for smart textiles with 42 modules (O2), to be accessed via the Dedicated e-learning Instrument (O3). All outputs are available with free access on the e-learning platform: www.adva2tex.eu/portal.

Study on Curriculum System Design of Enterprise E-Learning with Digital Learning Concept

2013 ◽  
Vol 462-463 ◽  
pp. 1163-1167
Author(s):  
Wen Yang Yang ◽  
Liu Mei Zhang
Keyword(s):  
Learning System ◽  
Enterprise Management ◽  
Digital Learning ◽  
Lean Enterprise ◽  
Digital Curriculum ◽  
Learning Platform ◽  
Building Process ◽  
Result Show ◽  
E Learning ◽  
Corporate Profits

E-Learning facilitats enterprise human resource management. Therefore enterprises must attach importance to build their own E - Learning platform in such information society. This paper first analyzes the meaning of enterprise digital learning. Then fusion and trends of digital learning and knowledge management is discussed from the perspective of theory level. Key problems are discussed towards the construction of digital learning system for the enterprise. Including the basic components and building process of digital learning system of the enterprise. The design process of digital curriculum system for PetroChina Changqing oilfield company have been collected and analyzed. The Result Show That E - Learning system can improve the level of corporate profits, lean enterprise management and improve the market strain capacity of the enterprise.

scholarly journals Byju’s Learning App in the COVID-19 Outbreak to Analyze Online Education-A Case Study

2021 ◽  
pp. 75-86
Author(s):  
Sigma Sathyan ◽  
Krishna Prasad K.
Keyword(s):  
Online Education ◽  
Urban Area ◽  
Business Strategy ◽  
Swot Analysis ◽  
Electronic Learning ◽  
Subscription Rate ◽  
Learning Platform ◽  
E Learning ◽  
In The Beginning

Background/Purpose: Byju’s e-learning App is one of the most used online learning mobile applications in India. Byju’s app operations began in 2011. It is launched by two business entrepreneurs Byju Raveendran and Divya Gokulnath. The Company's head office is in Bengaluru, India. The app slogan is "Fall in love with learning.” Byju's app brings new and innovative trends in education, specifically in online education. In the beginning, the Byju e-Learning app consists of all kinds of students, all state boards in India, especially from grades first to 12th. Furthermore, the app provides unique services to graduates attempting to pass competitive tests like GATE, JEE, NEET, UPSC, and Bank Exams. The application's main segment is to provide an electronic learning platform with numerous examples to improve students' concentration. It is Indian's fastest electronics app, focused only on learning the concept by various methods and through various animated videos, more straightforward and effective, where to get the best outcome in learning mathematics and science subjects. Objective: In this paper, we analyze Byju's app's influence on students during the COVID-19 pandemic, and to know whether its subscription increased or not in the Covid 19 outbreak. This paper also analyzes how e-learning apps can focus on enhancing the experience of students and helping to improve customer focusing and subscription rate. Design/Methodology/Approach: A survey is conducted in a semi-urban area to analyze different aspects related to online education through Byju’s app during COVID 19 pandemic. In addition, analyze the information collected from the survey and from various scholarly articles and by using the SWOT analysis framework. Findings/Results: During the COVID-19 pandemic, for online education, Byju's app stands as a leading online education brand, with 85% of parents subscribed to this mobile application for their child's education. So, coronavirus crisis helped Byju’s app to become a leader in online education providers in India. Conclusion: From the conducted survey-increased subscription rate of the app was seen and noticed that customers are loyal to Byju’s App. Also, it is found that most of the students in the semi-urban area use Byju's app for their studies during the Covid 19 pandemic. By SWOT analysis, we have given some suggestions that can be added to Byju's Learning App as a business strategy. Paper Type: Case study-based Research Analysis

Toward a Quality Framework for Open Educational Resources (OER)

2021 ◽  
pp. 35-51
Author(s):  
Ebba S. I. Ossiannilsson
Keyword(s):  
Teaching And Learning ◽  
Open Educational Resources ◽  
Educational Resources ◽  
Free Access ◽  
Media Center ◽  
Learning Framework ◽  
Emerging Trends ◽  
System Technique ◽  
E Learning ◽  
Quality Framework

In November 2019, a milestone was reached when UNESCO's Open Educational Resources (OER) Recommendations for implementation was adopted by almost 200 member countries. At this time, OER was redefined as the following: learning, teaching, and research materials in any format and medium publicly available or subject to copyright and published under an open license that allows free access, reuse, adaptation, and redistribution by others. This conceptual chapter focuses on OER in relation to quality frameworks, particularly the e-learning framework and model developed by Kahn, as well as the TIPS a four-level framework for teaching and learning (T), information and material content (I), presentation product and format (P), and system technique and technology (S) framework by Commonwealth Education Media Center for Asia (CEMCA). Future and emerging trends in the fields of open education and OER are highlighted.

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.

Sign in / Sign up

Export Citation Format

Share Document