An Agent based Personalized Intelligent elearning

Abstract

Education is foundation of any modern society. Self Discovery is a key to an individual's education success. Self Discovery learning is the ability of an individual to learn through personal experience and natural exploration. Online Discovery learning tends to be learner-driven and learner-initiated. Digital repository on web is supportive for online discovery learning. In recent era, availability of infrastructure, flexibility of time, learning resources and their means of sharing has increased adaptability of World Wide Web to learn and attain knowledge to a great extent. However, most of the e-learners find difficulty to select location specific, relevant and significant tutorial on the web. Search engines results pages are not based on the interest, knowledge level and literacy rate of learner. More amount of time spent on searching and filtering and comparatively less time is devoted in actual learning. This paper proposes an agent based personalized intelligent e-learning model. The essence of personalized search engine is to save learner's time to re-rank future result list. This Model uses multiple agents which delivers personalized SERP (Search Engine Results Page) and is more suited for personalization of web pages based on learner's query expanded to manifold queries with novel concept of keyword research and discover knowledge using browser's behaviour. The proposed model uses web usage mining techniques to discover the knowledge of learner.

Online E-Learning System

“…Challenges in building effective online e-learning systems encompass parameters like query expansion, learner profiles, web log preprocessing, knowledge discovery, self-motivation, and multitasking [6]. An Agent-Based Intelligent System (ABIS) has been explored as a solution, aggregating cuttingedge research in the online e-learning domain [7].…”

Deteksi Kesamaan Teks Jawaban pada Sistem Test Essay Online dengan Pendekatan Neural Network

“…E-learning ke depannya memiliki tantangan untuk melengkapi fitur-fitur yang efektif dalam menyajikan dan menawarkan informasi yang akurat serta spesifik kepada pengguna, seperti batasan sistem, profil pengguna, fakta dan opini pengetahuan web pengguna, komunikatif dan kemampuan multitasking dalam satu arsitektur agar manfaat dasar dengan adanya teknologi informasi itu bisa benar-benar dirasakan [3] [4]. Salah satu contoh fitur e-learning adalah manajemen materi pembelajaran yang dunggah oleh pengajar secara terstruktur sehingga bisa diakses oleh siswa dan terdokumentasi dengan baik.…”

Knowledge Oriented Personalized Search Engine: A Step towards Wisdom Web

“…We currently experience and work with this kind of web, although it is still far from personalized web, since the techniques applied in mining web data and results produced are general and are not meant for a specific individual, thus the results may or may not be fruitful. Shah et.al in [17] highlighted that existing search engines doesn't cater to the interests, knowledge level and literacy rate of the person seeking learning material from the web. Thus user spends more time on searching and filtering of contents suitable for the need, as compared to the time devoted in learning the concepts.…”

“…Also it is evident that semantic web, context based searching in crawlers and web mining techniques specifically usage mining are playing important role in overall web personalization research. Literature survey [3,17,19,21,22] highlights that research fraternity have realized importance of agent technology in web based scenario and employed them to provide solutions at various phases. Analysis of various aspects of the reviewed literature provided motivation for proposing new model of search engine usage which will provide knowledge based personalized contents to the user.…”