Personalized E- learning System Based on Intelligent Agent
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<ul><li><p>Physics Procedia 24 (2012) 1899 1902</p><p>1875-3892 2011 Published by Elsevier B.V. Selection and/or peer-review under responsibility of ICAPIE Organization Committee.doi:10.1016/j.phpro.2012.02.279</p><p>Available online at www.sciencedirect.comAvailable online at www.sciencedirect.com</p><p>PhysicsProcedia</p><p> Physics Procedia 00 (2011) 000000 </p><p>www.elsevier.com/locate/procedia</p><p>2012 International Conference on Applied Physics and Industrial Engineering </p><p>Personalized E- learning System Based on Intelligent Agent</p><p>Sun Duo, Zhou Cai Ying Institute of Information Engineering </p><p>Yang Zhou University Yang Zhou, China </p><p>Abstract </p><p>Lack of personalized learning is the key shortcoming of traditional e-Learning system. This paper analyzes the personal characters in e-Learning activity. In order to meet the personalized e-learning, a personalized e-learning system based on intelligent agent was proposed and realized in the paper. The structure of system, work process, the design of intelligent agent and the realization of intelligent agent were introduced in the paper. After the test use of the system by certain network school, we found that the system could improve the learners initiative participation, which can provide learners with personalized knowledge service. Thus, we thought it might be a practical solution to realize self- learning and self-promotion in the lifelong education age. </p><p> 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [name organizer] </p><p>Keywords:personality; intelligent agent; e-learning; </p><p>1. Introduction </p><p>E-learning changes the conventional instilling way of teaching that centers on the teachers and emphasizes students active learning, thus people pay more and more attention to it. But many investigations indicate that many e-learning systems are lack of intelligence, which cannot give learners instructions in their learning according to their own conditions. In a word, those systems cannot provide learners with personalized knowledge service. In addition, those systems have also exist some problems, such as weak interaction, uneven geographic distribution of teaching resources, different structures of different kinds of networks and learning group, which makes learners feel unconfident and suspicious in e-learning. Therefore, how to use related technologies to solve the existed problems in e-learning becomes more urgent. </p><p>Intelligent agent is a new developing technology and concept of the last ten years. The intelligent agent technology in the artificial intelligence field provides a good opportunity to solve above problems .Intelligent agent is a program that can execute repeating and expectable missions. The characteristics of intelligent agent are autonomy, social ability, adaptability, and reaction. So it can make proper actions and </p><p> 2011 Published by Elsevier B.V. Selection and/or peer-review under responsibility of ICAPIE Organization Committee.</p></li><li><p>1900 Sun Duo and Zhou Cai Ying / Physics Procedia 24 (2012) 1899 1902Author name / Physics Procedia 00 (2011) 000000 </p><p>response to the change of the environment without the participation of users. Thus the personalized e-learning system based on intelligent agent is proposed. </p><p>2. Personalized Learning Strategies </p><p>The core features of e-Learning system are interactive and personalized. The personalized feature is the development aim of interactive . So how to achieve personalized learning through interactive with learners is the task of personalized strategy in e-learning system. Analyzing the learning process, the personalized strategies should include the following aspects: </p><p>2.1 Personalized user interface </p><p>The different interface with varies personalized information are provided to different users including teachers and students. </p><p>2.2 Personalized learning resources </p><p>The learning resources such as multimedia courseware, practice homework and other personal information are filtered to learners based on certain characteristics of the filter rules. Teachers can recommend different resources to different students according to their situation. Students can also subscribe a variety of different resources which they own interest in. Each student's learning content is different that fully embodied the personalized learning resources. </p><p>2.3 Personalized learning activities </p><p>The learning activities are different, interactive and personalized. The students have different learning process and learning progress according to their different learning status. </p><p>2.4 Personalized guidance </p><p>The system store the integrity learning log of learners which can be analyzed, and then give different personalized guidance and recommendations to every learner. </p><p>2.5 Personalized communication </p><p>The group collaborative learning is an important mode of learning, and communication among team members is very important to exchange. Personalized communication means users can easily choose those close to exchange. </p><p>3. The Personalized E-Learning System based on Intelligent Agent </p><p>The objective of the proposed system is to provide the personalized environment to the learner with the domain specific course content to reduce the effort required for learning the courses. The system personalizes the course content according to the learner's specialized domain. It facilitates the learner to acquire the selected course knowledge by providing the domain specific course content based on effort prediction. The system includes two processes for developing the course content and it personalizes the course content in three perspectives such as system's perspective, leaner's perspective and teacher's perspective. The system gives flexibility for personalization to be done by the system, the learner and the teacher in order to bring out the characteristics of some e-learning systems such as adaptive systems, learner centric systems and teacher or instructor-led systems. When any course is introduced in this system the skeleton content for that course is created immediately in order to personalize the content in three </p></li><li><p>Sun Duo and Zhou Cai Ying / Physics Procedia 24 (2012) 1899 1902 1901Author name / Physics Procedia 00 (2011) 000000 </p><p>perspectives which is carried out by the personalized agent according to the effort prediction for both the course and the learner. </p><p>The agents of e-learning can perceive the change of environment and then adopt corresponding actions voluntarily. They operate independently and execute tasks by particular ability. According to the roles of agents, in this system we propose three kinds of agents for e-learning. The model of personalized e-learning system based on intelligent agent is Fig.1 </p><p>.Figure 1.The personalized e-learning system based on intelligent agent These agents function is as follows: </p><p>3.1 Learner agent </p><p>A personal agent fetches different information according to different users' demands. In the on-line learning environment, the system offers very scattered materials and users have to browse these materials one by one in order to get their interesting information. The agent is responsible for compiling the scattered information and recommending users' interesting materials to them voluntarily when they login next time. </p><p>The learner agent can discover learners' personal interests voluntarily without bothering the users. It is very suitable for personalized e-learning by voluntarily recommending learning materials. The major work of learner agent in e-learning can be divided into two categories: Adopt the association rules to analyze the browsing sequence. Then give suggestion of composing learning materials and sequence of learning in order to reduce the time of searching and provide high quality learning materials. Analyze learners' browsing profile to understand their learning status. Then offer information to teachers or instructors or learners in order to improve students' learning performance by proper guiding. </p><p>3.2 Teacher Agent </p><p>A teacher agent offers help of operations in proper time whenever users call for help. It is a headache that users need to search and discover their interesting materials when they are not familiar with the on-line learning environment. The teacher agents will provide proper and essential operations to help them reduce the mental fear. </p></li><li><p>1902 Sun Duo and Zhou Cai Ying / Physics Procedia 24 (2012) 1899 1902Author name / Physics Procedia 00 (2011) 000000 </p><p>3.3 System Agent </p><p>Learners need to provide their demands to agents before agents collect learners' personal interesting information. The agent has to collect learners' personal interests and give fast response according to the pre-specified demands of users. </p><p>Based on the above research, we developed the item of personalized knowledge service system in network school. The author constructs a system website providing personalized courses learning. The system uses three layers B/S structure, client, application server, Web sever. Java technology is used to satisfy the isomerism of platform, JSP technology is used to interact and design the page. The mobility, security, interaction of agent is realized though Aglet. </p><p>4. Conclusion </p><p>The paper proposed an agent-based personalized e-learning environment to reduce the effort required for learning the courses. This work is a first attempt from the different perspective of personalization and to best of our knowledge. This attempt is a new direction in the field of e-learning environment. The proposed system is presented in three perspectives to provide the domain specific content to the learner based on the effort prediction according to their background details. The personalized domain specific content is generated and can be modified according to the learners and teacher perspectives. I wish that this work could give references to certain people. </p><p>Acknowledgement </p><p>The author thanks her colleagues for their helpful discussion. </p><p>References </p><p>Wu Yan wen, Luo Qi. Research on Personalized Knowledge Service System in Community E-Learning: Edutainment 2006 Proceedings [J]. Lecture Notes in Computer Science, Volume 3942:115-152, 2006.4. </p><p>Wu Yanwen ,Wu Zhonghong, Knowledge Adaptive Presentation Strategy in E-Learning ,Second International Conference on Knowledge Economy and Development of Science and Technology (KEST2004), Beijing, 2004, pp.6-9. </p><p> Wang Yun. Distant education system based on web Intelligence [J]. E-education Research, 33-35,2005.8. Zhang Yunyong. Mobile agent and its application [M].Tinghua University publication, 2003. </p></li></ul>
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