Recommending learning material in Intelligent Tutoring Systems

Jarosław Bernacki

doi:10.17951/ai.2016.16.1.1

Abstract

<p>Nowadays, intelligent e-learning systems which can adapt to learner's needs and preferences, became very popular. Many studies have demonstrated that such systems can increase the eects of learning. However, providing adaptability requires consideration of many factors. The main problems concern user modeling and personalization, collaborative learning, determining and modifying learning senarios, analyzing learner's learning styles. Determining the optimal learning scenario adapted to students' needs is very important part of an e-learning system. According to psychological research, learning path should follow the students' needs, such as (i.a.): content, level of diculty or presentation version. Optimal learning path can allow for easier and faster gaining of knowledge. In this paper an overview of methods for recommending learning material is presented. Moreover, a method for determining a learning scenario in Intelligent Tutoring Systems is proposed. For this purpose, an Analytic Hierarchy Process (AHP) method is used.</p>

Highlights

Intelligent Tutoring Systems (ITS) are computer software that can conduct learning process without physical teacher [19]
According to pedagogical/psychological research, some factors that have a strong influence on attractiveness of learning scenario, are: the content of scenario lessons, the level of difficulty of lessons and the preferred version of lessons
Preferred version of lessons can be determined by many learning styles questionnaires, i.e. Paragon [21], Memletics [17] or Felder / Silverman [8]

Summary

INTRODUCTION

Intelligent Tutoring Systems (ITS) are computer software that can conduct learning process without physical teacher [19]. In this paper a method for determining a personalized learning scenario is proposed. According to pedagogical/psychological research, some factors that have a strong influence on attractiveness of learning scenario, are: the content of scenario lessons, the level of difficulty of lessons and the preferred version of lessons. A personalized learning scenario is proposed with use of Analytic Hierarchy Process (AHP) method. In this approach, a student is a user of intelligent e-learning system, where some learning scenarios are presented.

RECOMMENDING LEARNING MATERIAL

A METHOD FOR LEARNING CONTENT RECOMMENDATION

Determining A Learning Scenario

Findings

CONCLUSION