Evaluation of Intelligent Agent Frameworks for Human Learning

Mohamed Soliman,Christian Guetl

doi:10.3991/ijep.v1i3.1816

Abstract

&nbsp;Pedagogical Agents are intelligent agents supporting learning in virtual learning environments, VLE. The use of the multi-agent society model inhabited with intelligent virtual agents has shown to provide several benefits to learning. This paper reviews intelligent agents for learning and shows their educational value while demonstrating the new learning possibilities supported by them. Towards the objective of efficiently utilizing the agents in a distributed learning platform, the paper provides an evaluation of intelligent agent development frameworks. This evaluation will provide valuable information to those employing and integrating intelligent agents for different types of VLE with a view towards creating new learning scenarios

Highlights

With the explosive proliferation of Internet services and the availability of computing resources, the benefits of electronic learning have become more evident leading to new learning paradigms
That agent module is rather intelligent, autonomous, acts on the environment based on sensing mechanisms. This model is shown to have a distributed model of computation that suits explorative and just-in-time learning that can support the collaborative learning in environments such as virtual worlds, [2]
Our work considers new learning scenarios of robotic avatars moving in intelligent domains to recommend resources to learners or interacting with other non-robotic avatars for group learning supports

Summary

INTRODUCTION

With the explosive proliferation of Internet services and the availability of computing resources, the benefits of electronic learning have become more evident leading to new learning paradigms. That agent module is rather intelligent, autonomous, acts on the environment based on sensing mechanisms This model is shown to have a distributed model of computation that suits explorative and just-in-time learning that can support the collaborative learning in environments such as virtual worlds, [2]. Our research targets this model of intelligence investigating pedagogical values to electronic learners while attempting the evolving virtual world paradigm as a VLE as possible. Intelligent Agents have been used as cognitive tutors utilizing cognitive models of learners and providing a scaffold for personalized learning They have been used as companions that can provide emotional support to learners, exemplified by embodied agents, [1].

AGENT SYSTEMS FOR HUMAN LEARNING

Overview of Agent Functions for Learning in Virtual Learning Environments

Pedagogical Agents Functional Requirements

INTELLIGENT AGENT FRAMEWORKS FOR

DISCUSSION AND CONCLUSION