E-learning agents

نویسنده

  • Dawn G. Gregg
چکیده

Purpose – The purpose of this paper is to illustrate the advantages of using intelligent agents to facilitate the location and customization of appropriate e-learning resources and to foster collaboration in e-learning environments. Design/methodology/approach – This paper proposes an e-learning environment that can be used to provide customized learning. It utilizes a set of interacting agents that can personalize instruction based on an individual’s prior knowledge as well as their cognitive and learning needs. The e-learning agents monitor the e-learning environment and improve learning and collaboration based on learners’ prior knowledge, social characteristics and learning style. Findings – E-learning agents should allow the discovery of new learning objects more easily, allow learners to customize materials presented to improve learning outcomes, and improve collaboration in the e-learning environment. Originality/value – Little prior research has been done on the use of agents in e-learning environments. This paper proposes a set of e-learning agents that, if implemented in online education or training environments, should provide tangible benefits to organizations.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Effect of levels of realism of mobile-based pedagogical agents on health e-learning

Background: One of the ways for effective communication between learners and instructional multimedia content in mobile learning systems is taking advantage of characters or pedagogical agents. The present study aimed to investigate the effect of the levels of realism in mobile-based pedagogical agents on health e-learning. Methods: The s...

متن کامل

Hierarchical Functional Concepts for Knowledge Transfer among Reinforcement Learning Agents

This article introduces the notions of functional space and concept as a way of knowledge representation and abstraction for Reinforcement Learning agents. These definitions are used as a tool of knowledge transfer among agents. The agents are assumed to be heterogeneous; they have different state spaces but share a same dynamic, reward and action space. In other words, the agents are assumed t...

متن کامل

Voltage Coordination of FACTS Devices in Power Systems Using RL-Based Multi-Agent Systems

This paper describes how multi-agent system technology can be used as the underpinning platform for voltage control in power systems. In this study, some FACTS (flexible AC transmission systems) devices are properly designed to coordinate their decisions and actions in order to provide a coordinated secondary voltage control mechanism based on multi-agent theory. Each device here is modeled as ...

متن کامل

Key Factors for Defining the Conceptual Framework for Quality Assurance in E-Learning

E-learning has evolved for more than a decade, and universities are gradually embracing e-learning to provide more learning experience for their learners. E-learning is the use of electronic means through which training is received and obtained. E-learning offers a wide range of advantages (time and room mobility, cost-effectiveness, etc.) and also overcomes the limitations of digital learning ...

متن کامل

From E-learning to Ubiquitous Learning; Theoretical Principles

Background: Because of approaches to learning in every place and at any time, ubiquitous learning with knowledge of the context and framework, and due to the development of wireless technologies and sensors, the learning process has changed. Mobile learning and ubiquitous learning as models of e-learning that refer to the acquisition of knowledge, attitudes and skills through wireless technolog...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007