An Enhanced Intelligent Learning Environment for Elearner Using Cognitive Architecture - Act-r

نویسنده

  • A. Kanimozhi
چکیده

DR.V.CYRIL RAJ 2 HOD & PROFESSOR DEPARTMENT OF COMPUTER SCIENCE, DR.M.G.R. UNIVERSITY [email protected] ABSTRACT The main goal of this research is to build an enhanced learning environment for e-learner using the cognitive architecture ACT-R(Adaptive Control of Thought—Rational) [7,8]. This proposed new intelligent learning environment is applied to manage and monitor the dynamic behavior of the learner and capture the learner’s emotional status like active, high arousal, displeasure and sleepy mood. This intelligent architecture will modulate the learning content based on the emotional status of the learner. So that learner’s emotional status is also included in E-learning which is similar to the pedagogical method where the teacher can understand the general mood of learners and modulate the method of delivery. The model that we have developed for the subject System Software has proved that the learner’s outcome is better in our model than some of the other existing models. We have also included learner’s behavioral history as feedback to our system for the further improvement of the learning process. Keyword: E-learning, Cognitive Architecture, ACT-R

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

Integrating ACT-R and Cyc in a large-scale model of language comprehension for use in intelligent agents

This paper describes a research program for the creation of a large-scale model of language comprehension for use in the development of language enabled intelligent agents. The language comprehension system is being implemented using the ACT-R cognitive architecture and modeling environment and adopts the cognitive principles and constraints of that architecture. The paper focuses on issues ari...

متن کامل

Cognitive Architectures and the Construction of Intelligent Agents

A central aim of artificial intelligence and cognitive science is the construction of intelligent agents , which we can define as software artifacts that exhibit intelligent behavior in complex domains over extended periods of time. Intelligent agents can display different levels of functionality, but the long-term goal is to meet or exceed the broad range of capabilities that are found in huma...

متن کامل

Animating Cognitive Models and Architectures: A Rule-Based Approach

Computational psychology provides computational models exploring different aspects of cognition. A cognitive architecture includes the basic aspects of any cognitive agent. It consists of different correlated modules. In general, cognitive architectures provide the needed layouts for building intelligent agents. The paper presents a rule-based approach to visually animate the simulations of mod...

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

Place Recognition and Topological Map Learning in a Virtual Cognitive Robot

An ACT-R cognitive model is used to control the spatial behavior of a virtual robot that is embedded in a three-dimensional virtual environment, implemented using the Unity game engine. The environment features a simple maze that the robot is required to navigate. Communication between ACT-R and Unity is established using a networkbased inter-operability framework. The ability of the robot to l...

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 2015