A Classification of Evaluation Methods for Intelligent Tutoring Systems

نویسندگان

  • Arif Iqbal
  • Reinhard Oppermann
  • Ashok Patel
  • Kinshuk
چکیده

Evaluation of intelligent tutoring systems (ITS) is an important area of research in current educational practices. There are many evaluation methods available but the literature does not suggest any clear guidelines for an evaluator – normally an educator – which methods to use in particular contexts. This paper proposes a classification of evaluation methods to simplify the selection task. The classification is based on two primary questions relating to the target of evaluation and learning environment in which the evaluation would be pursued. The classification is hoped to help in improving quality of computer based education by providing a practical and to the point way of selecting the appropriate evaluation methods for intelligent tutoring systems.

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

Knowledge Engineering for Intelligent Tutoring Systems: Assessing Semi-automatic Skill Encoding Methods

Building a mapping between items and their related knowledge components, while difficult and time consuming, is central to the task of developing affective intelligent tutoring systems. Improving performance on this task by creating a semi-automatic skill encoding system would facilitate the development of such systems. The goal of this project is to explore techniques involved in text classifi...

متن کامل

An Approach to Usability Evaluation of an Intelligent Tutoring System

Intelligent tutoring systems are a generation of computerized educational systems, which are intended to improve the process of learning and teaching by attempting to mimic the capabilities of human teachers. The development of application technology in the field of computerized educational systems has not been accompanied by an adequate usable, user-centered interface design, possibly resultin...

متن کامل

Optimal Feature Selection for Data Classification and Clustering: Techniques and Guidelines

In this paper, principles and existing feature selection methods for classifying and clustering data be introduced. To that end, categorizing frameworks for finding selected subsets, namely, search-based and non-search based procedures as well as evaluation criteria and data mining tasks are discussed. In the following, a platform is developed as an intermediate step toward developing an intell...

متن کامل

Optimal Feature Selection for Data Classification and Clustering: Techniques and Guidelines

In this paper, principles and existing feature selection methods for classifying and clustering data be introduced. To that end, categorizing frameworks for finding selected subsets, namely, search-based and non-search based procedures as well as evaluation criteria and data mining tasks are discussed. In the following, a platform is developed as an intermediate step toward developing an intell...

متن کامل

Evaluating an Intelligent Tutoring System for Design Patterns: the DEPTHS Experience

The evaluation of intelligent tutoring systems (ITSs) is an important though often neglected stage of ITS development. There are many evaluation methods available but literature does not provide clear guidelines for the selection of evaluation method(s) to be used in a particular context. This paper describes the evaluation study of DEPTHS, an intelligent tutoring system for learning software d...

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 1999