scholarly journals Methodological aspects of the web course of chemical disciplines for non-chemical specialties in universities

2020 ◽  
Vol 1 (1) ◽  
pp. 37-42
Author(s):  
Naila Guliyeva ◽  
Keyword(s):  
Inorganic Chemistry ◽  
Online Training ◽  
Personalized Learning ◽  
Learning System ◽  
Learning Platform ◽  
Web Course ◽  
Effective Use ◽  
Methodological Aspects ◽  
Theoretical Foundations ◽  
The Web

The article analyzes the possibilities of effective use of interactive learning elements, which is a learning platform designed to provide teachers, administrators and students with a reliable, safe and comprehensive learning system to create a personalized learning environment. It is acknowledged that the utilization of online training tools has shown to be effective for studying the “Theoretical Foundations of Chemistry” and “Inorganic Chemistry” disciplines.

scholarly journals The system of personalized instruction in school education: problems of implementation and adaptation

2020 ◽  
pp. 142-152
Author(s):  
Polina O. Kraynova ◽  
Alexey S. Obukhov
Keyword(s):  
General Education ◽  
Personal Characteristics ◽  
Personalized Learning ◽  
Educational Process ◽  
Learning System ◽  
High Quality Research ◽  
Global Trends ◽  
Learning Platform ◽  
The Usa ◽  
The Individual

In the context of global trends in the humanization of education, issues of differentiation, individualization and personalization of education are actively discussed. At the same time, the key question remains – how to preserve the individual capabilities, interests and needs of each student while maintaining collective learning formats? How to take into account the personal characteristics and capabilities of each when passing and mastering general education programs? One such solution was the PCBL personalized learning platform developed in the USA. Currently, the Khoroshevskaya school is introducing and adapting this platform to the Russian conditions of education. The article examines the specific case of implementing a system of personalized competency-based education in a separate school – what problems, barriers and difficulties are encountered in its implementation. The study is built in the logic of qualitative research on the basis of high-quality research interviews with the main participants in the educational process in the context of introducing a personalized learning system.

Personalized Information Retrieval in a Semantic-based Learning Environment

2011 ◽  
pp. 270-288 ◽  
Author(s):  
Antonella Carbonaro ◽  
Rodolfo Ferrini
Keyword(s):  
Active Learning ◽  
Learning Environment ◽  
Information Sources ◽  
Common Knowledge ◽  
Personalized Learning ◽  
Learning System ◽  
Intelligent Support ◽  
Useful Knowledge ◽  
The Common ◽  
The Web

Active learning is the ability of learners to carry out learning activities in such a way that they will be able to effectively and efficiently construct knowledge from information sources. Personalized and customizable access on digital materials collected from the Web according to one’s own personal requirements and interests is an example of active learning. Moreover, it is also necessary to provide techniques to locate suitable materials. In this paper, we introduce a personalized learning environment providing intelligent support to achieve the expectations of active learning. The system exploits collaborative and semantic approaches to extract concepts from documents and maintaining user and resources profiles based on domain ontologies. In such a way, the retrieval phase takes advantage from the common knowledge base used to extract useful knowledge and produces personalized views of the learning system.

Personalized Information Retrieval in a Semantic-Based Learning Environment

2011 ◽  
pp. 370-389
Author(s):  
Antonella Carbonaro ◽  
Rodolfo Ferrini
Keyword(s):  
Active Learning ◽  
Learning Environment ◽  
Information Sources ◽  
Common Knowledge ◽  
Personalized Learning ◽  
Learning System ◽  
Intelligent Support ◽  
Useful Knowledge ◽  
The Common ◽  
The Web

Active learning is the ability of learners to carry out learning activities in such a way that they will be able to effectively and efficiently construct knowledge from information sources. Personalized and customizable access on digital materials collected from the Web according to one’s own personal requirements and interests is an example of active learning. Moreover, it is also necessary to provide techniques to locate suitable materials. In this chapter, we introduce a personalized learning environment providing intelligent support to achieve the expectations of active learning. The system exploits collaborative and semantic approaches to extract concepts from documents, and maintaining user and resources profiles based on domain ontologies. In such a way, the retrieval phase takes advantage of the common knowledge base used to extract useful knowledge and produces personalized views of the learning system.

scholarly journals Design of Web Virtual Reality for Job Interview Preparation Simulation

2020 ◽  
Vol 11 (3) ◽  
pp. 132
Author(s):  
Pius Dian Widi Anggoro
Keyword(s):  
Virtual Reality ◽  
Web Application ◽  
Low Cost ◽  
Learning System ◽  
Average Score ◽  
Validity And Reliability ◽  
Job Interview ◽  
English Class ◽  
Learning Platform ◽  
The Web

The implementation of Virtual Reality (VR) in education is a breakthrough in using technology to support the teaching-learning system. This study will provide more knowledge about the use of VR in English classes. Students can practice answering interview questions in their own place, as often as they need. Students also can practice answering interview questions. This research is use VR technology in a web platform for job interview simulation cases. In the early stages, the evaluation to review the use of VR technology that running on low-specification smartphones (Low-Cost Device), which require a lower internet connection. The WebVR and React 360 libraries were used to develop the virtual environments and JavaScript for the language. The Web Speech API was used to convert the test into conversations by taking questions from the web service on the Moodle learning platform that was connected to PostgreSQL. The first test methods were the web application performance, then followed by Alpha Testing, a validation test by media and material experts. Than it continued in Beta Testing where a product test by 15 English class students participants. The data collection technique used a questionnaire that has to be answered by the participants. The validity and reliability tests were carried out for product usage test. The results obtained from the assessment of media experts and participant provide an assessment score of 83.10 from the experts and 77.58 from the users. The average score obtained is 80.34 which is included in the feasible category. Therefore, this learning media is ready to be used to support learning in English class.

EVALUATING THE INTELLIGENT FEATURES OF A WEB-BASED INTELLIGENT COMPUTER ASSISTED LANGUAGE LEARNING SYSTEM

2004 ◽  
Vol 13 (02) ◽  
pp. 411-425 ◽  
Author(s):  
VICTORIA TSIRIGA ◽  
MARIA VIRVOU
Keyword(s):  
Language Learning ◽  
Intelligent System ◽  
Learning System ◽  
Three Dimensions ◽  
Computer Assisted ◽  
Computer Assisted Language Learning ◽  
Web Based ◽  
Effective Use ◽  
Intelligent Computer ◽  
The Web

In this paper we present and discuss the results of the evaluation of an Intelligent Computer Assisted Language Learning (ICALL) system that operates over the Web. In particular, we aimed at evaluating the system along three dimensions: a) the effect of the intelligent features of the system on the learning outcome of students, b) the system's ability to provide individualized support to students that leads to more effective use of the system and c) the general usability and friendliness of the ICALL. To achieve this, we conducted an empirical study, where we compared the intelligent system with a non-intelligent version of it. The results of the study revealed that the students of the Web-based ICALL had gained more knowledge of the domain and had been able to interact with the system more effectively as compared to the students that had used the non-intelligent version of the system. However, the students of the intelligent version of the system found it more difficult and they needed more time to get acquainted with the system in comparison to the students of the non-intelligent system.

Personalized Information Retrieval in a Semantic-Based Learning Environment

2011 ◽  
pp. 294-312
Author(s):  
Antonella Carbonaro ◽  
Rodolfo Ferrini
Keyword(s):  
Active Learning ◽  
Learning Environment ◽  
Information Sources ◽  
Common Knowledge ◽  
Personalized Learning ◽  
Learning System ◽  
Intelligent Support ◽  
Useful Knowledge ◽  
The Common ◽  
The Web

Active learning is the ability of learners to carry out learning activities in such a way that they will be able to effectively and efficiently construct knowledge from information sources. Personalized and customizable access on digital materials collected from the Web according to one’s own personal requirements and interests is an example of active learning. Moreover, it is also necessary to provide techniques to locate suitable materials. In this chapter, we introduce a personalized learning environment providing intelligent support to achieve the expectations of active learning. The system exploits collaborative and semantic approaches to extract concepts from documents, and maintaining user and resources profiles based on domain ontologies. In such a way, the retrieval phase takes advantage of the common knowledge base used to extract useful knowledge and produces personalized views of the learning system.

ONLINE TRAINING IN ENTREPRENEURSHIP IN LDC'S: A CASE STUDY

2006 ◽  
Vol 14 (02) ◽  
pp. 143-154 ◽  
Author(s):  
LAURENCE LEIGH
Keyword(s):  
Management Education ◽  
Online Training ◽  
International Labor Organization ◽  
Web Based ◽  
Learning Platform ◽  
Web Based Learning ◽  
International Labor ◽  
Learning Techniques ◽  
The Web

The use of online learning techniques is a rapidly growing feature of management education globally. Training entrepreneurs in developing countries using this approach is still in its infancy, however. This paper reports on an early effort at using this approach using a web-based 'learning platform' developed by the International Labor Organization (ILO) for use with entrepreneurs in Ethiopia. It discusses some of the difficulties encountered and draws conclusions for future training initiatives of this type. In particular, it recommends simplification of the web-based tools used and the provision of more onsite assistance to help participants in this type of training use them more effectively.

scholarly journals Personalized Distance Learning System based on Sequence Analysis Algorithm

2015 ◽  
Vol 11 (7) ◽  
pp. 33 ◽  
Author(s):  
Ji-chun Zhao ◽  
Shi-hong Liu ◽  
Jun-feng Zhang
Keyword(s):  
Distance Learning ◽  
Sequence Analysis ◽  
Personalized Learning ◽  
Learning System ◽  
Accuracy Rate ◽  
Learning Resource ◽  
Analysis Algorithm ◽  
Learning Platform ◽  
Distance Learning System ◽  
Support Threshold

Personalized learning system can provide users with the most valuable learning resource to them through intelligent recommendation models and algorithms. This paper proposed the classical sequence analysis algorithms, and the Prefixspan algorithm is validated through distance learning platform data. In the event that the minimum support threshold is between 0.003 to 0.004%, test data shows that the performance of the algorithm's accuracy rate is relatively stable and the recommendation effect is satisfactory.

Design of English reading and learning management system in college education based on artificial intelligence

2021 ◽  
pp. 1-10
Author(s):  
Fen Zhang ◽  
Min She
Keyword(s):  
Artificial Intelligence ◽  
Model Performance ◽  
College Education ◽  
Personalized Learning ◽  
Learning System ◽  
Model Function ◽  
English Reading ◽  
Function Modules ◽  
Learning Platforms ◽  
Learning Management

English reading learning in college education is an efficient means of English learning. However, most of the current English reading learning platforms in colleges and universities only put different English books on the platform in electronic form for students to read, which leads to blindness of reading. Based on artificial intelligence algorithms, this paper builds model function modules according to the needs of English reading and learning management in college education and implements system functions based on artificial intelligence algorithms. Moreover, according to the above design principles of personalized learning model and the characteristics of personalized network learning, this paper designs a personalized learning system based on meaningful learning theory. In addition, this article verifies and analyzes the model performance. The research results show that the model proposed in this paper has a certain effect.

Effective Use of the World Wide Web (WWW) for HF/E Consultants

1998 ◽  
Vol 42 (10) ◽  
pp. 714-718 ◽  
Author(s):  
Anthony D. Andre
Keyword(s):  
World Wide Web ◽  
Human Factors ◽  
World Wide ◽  
Clear Understanding ◽  
Human Factors And Ergonomics ◽  
The World ◽  
Effective Use ◽  
The Web

This paper provides an overview of the various human factors and ergonomics (HF/E) resources on the World Wide Web (WWW). A list of the most popular and useful HF/E sites will be provided, along with several critical guidelines relevant to using the WWW. The reader will gain a clear understanding of how to find HF/E information on the Web and how to successfully use the Web towards various HF/E professional consulting activities. Finally, we consider the ergonomic implications of surfing the Web.

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