Research and Design on Agent-Based Individualized Recommend Learning System

2013 ◽  
Vol 339 ◽  
pp. 318-322
Author(s):  
Chun Fei Zhang ◽  
Zhi Yi Fang
Keyword(s):  
Teaching Method ◽  
Rapid Development ◽  
Learning System ◽  
Internet Technology ◽  
Individualized Learning ◽  
Agent Based ◽  
National Education ◽  
Education Strategy ◽  
E Learning ◽  
Research And Design

With the rapid development and wide application of information technology and internet technology, e-learning is a new way of teaching method in recent years, and it plays a significant role in the national education strategy. In this paper, an Agent-based individualized learning system is structured. And we also give the frame, algorithm, model and the knowledge representation of the system. Experimental results confirm the effectiveness of the model.

PEMBELAJARAN E-LEARNING

2019 ◽  
Vol 2 ◽  
Author(s):  
Nuke Lulu Ul Chusna
Keyword(s):  
Subject Matter ◽  
Technological Progress ◽  
Learning Culture ◽  
Learning System ◽  
Internet Technology ◽  
The Internet ◽  
Digital Format ◽  
E Learning ◽  
Context Of Learning ◽  
Present Subject

The internet can be used as a way to transfer knowledge from teachers to students. Learning that utilizes the development of technology and information, namely the internet, one of which is the e-learning learning system. E-learning is a form of conventional learning that is transferred in digital format through internet technology, not only to present subject matter on the internet but also must be in accordance with the principles of learning.The e-learning learning model results in changes in learning culture in the context of learning. Learning becomes very flexible, because it can be adjusted to the availability of time from students in learning the material provided by the teacher.The teacher determines the success of students in learning, therefore teachers are required to have the ability to adapt to technological progress. Keywords: ICT,e-learning, e-learning learning

scholarly journals EVALUATION OF DISTANCE LEARNING SYSTEM (E-LEARNING): A SYSTEMATIC LITERATURE REVIEW

2022 ◽  
Vol 16 (1) ◽  
pp. 132
Author(s):  
Ignatius Adrian Mastan ◽  
Dana Indra Sensuse ◽  
Ryan Randy Suryono ◽  
Kautsarina Kautsarina
Keyword(s):  
Literature Review ◽  
Evaluation Model ◽  
Rapid Development ◽  
Learning System ◽  
Distance Learning System ◽  
E Learning ◽  
Main Thing ◽  
Approach Problem ◽  
Insight Into ◽  
Model Approach

Research in the field of e-learning is currently experiencing rapid development, especially due to the covid 19 pandemic. The application of e-learning in the world of education is currently the main thing and requires evaluation of its use. This study aims to determine the evaluation of models and trends in the development of e-learning (Learning Management System). Applying the Kitchenham approach, this System Literature Review (SLR) uses three main databases including Science Direct, ACM, SCOPUS. The final result obtained 38 articles published between 2016 and 2021. From this SLR, it was found that there were 7 criteria, namely Platform, Evaluation Model, Evaluation, Model, Approach, Problem, Trend and Challenge. These 7 criteria can be used for further research on e-learning. Thus this research provides knowledge about criteria that can be used further in research on E-learning and provides insight into its state-of-the-art.

scholarly journals The effect of E-learning on education process enhancement & in-house customers' satisfaction (An experimental design)

2020 ◽  
Vol 11 (02) ◽  
pp. 118-127
Author(s):  
Amani Younes Merzeban ◽  
◽  
Ismail M. El-Sayed ◽  
Mohamed A. Ragheb ◽  
◽  
...  
Keyword(s):  
Higher Education ◽  
Learning Environment ◽  
Teaching Method ◽  
Learning System ◽  
Traditional Teaching ◽  
Maritime Transport ◽  
Academic Institutions ◽  
Science Technology ◽  
E Learning ◽  
Education Process

At present, Higher education sector in Egypt plays an important role. The exponential change in technology initiates improving its services. As a result of the increased pressure to improve competitiveness, and due to COVID19 circumstances, academic institutions are motivated to adopt a system perspective, elevating strategies towards achieving E-learning. This research is mainly targeting exploring practices of E-learning in higher education, its influence on enhancing the education process and in-house customers' satisfaction (students). There’s a dissimilarity between E-learning teaching and the traditional teaching, there are many debates. Creating effective E-learning environment has become a top priority for higher academic institutions. The parameters of the E-learning system effectiveness are not revealed. The main objective of this research is to find out whether the online teaching method compared to the traditional teaching method, in different colleges of the Arab Academy for Science, Technology and Maritime Transport (AASTMT); will achieve a higher quality level than that created using the traditional education approach in specific. The research aims at exploring students’ perceptions towards E-Learning teaching method & traditional teaching method concerning learning environment satisfaction, quality of achievements and performance. The research approaches adopted in this study includes executing an experimental study using a quasi-experiment design to direct the Arab Academy for Science, Technology & Maritime transport (AASTMT) to different knowledge bases in instruction technology. Moreover, the findings from this research would provide evidence and add to the body of knowledge in higher education. The methodology of the research is seeking to apply E-learning to manage development and improve performance, as a starting point to assess the effect of applying E-learning on enhancing the education process. This research is the first in higher education in Egypt to hold a comparison between teaching methods and study the effect of this combination of dimensions together and analyze the E-Learning teaching method effect on enhancing education and improving quality. Finally, the research will elaborate the problems faced to improve the E-Learning teaching method as a prerequisite for higher education since the beginning of COVID19 pandemic.

scholarly journals Agent-based Collaborative Affective E-learning System

2007 ◽  
Author(s):  
M. Ben Ammar ◽  
Adel M.Alim ◽  
Mahmoud Neji ◽  
Guy Gouardères
Keyword(s):  
Learning System ◽  
Agent Based ◽  
E Learning

Generating Personalized Navigation Learning Path Based on Knowledge Map

2014 ◽  
Vol 4 (2) ◽  
pp. 1-17
Author(s):  
Xiang Jun Huang ◽  
Chao Zhang ◽  
Qing Hua Zheng
Keyword(s):  
User Satisfaction ◽  
Information Overload ◽  
Rapid Development ◽  
Learning System ◽  
Knowledge Map ◽  
Learning Efficiency ◽  
Learning Path ◽  
Learning Instruction ◽  
E Learning ◽  
On Line

With a rapid development of Internet, E-Learning is becoming a new learning mode. E-Learning is not limited by time and space. It also has a large number of on-line learning resource. However, it has many disadvantages for students, such as information overload, disorientation, low learning efficiency, low user satisfaction and so on. Our aim is to improve learning efficiency and user satisfaction by overcoming information overload and disorientation of E-Learning system. This paper proposes an algorithm by combining Spreading-Activation Theory and techniques of classifying and sorting knowledge. The algorithm can generate a near optimal navigation learning path(NLP) based on a student's target knowledge unit(TKU) and knowledge map(KM) which it belongs to. NLP provides students an appropriate learning instruction to effectively eliminate disorientation during the process when they are learning interested knowledge units. The essential tasks of the algorithm is to filter redundant information and sort candidate knowledge units. So its realization process can be divided into three phrases: first, generating candidate complement map to overcome information overload. Because the candidate complement map only contains essential candidate knowledge units and learning dependencies among them to master TKU. Second, constructing learning features to discrete the candidate complement map to implement techniques of sorting knowledge conveniently. Final, sorting candidate knowledge units to get an appropriate NLP by using a Secondary Sort Strategy(SSS). The experimental results have shown that our method is sound for improving learning efficiency and users' satisfaction.

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