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- (PDF) Integration of Expert Systems in Mobile Learning 1 | Samuel Enguah -

- (PDF) Integration of Expert Systems in Mobile Learning 1 | Samuel Enguah -

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Application of expert system for education - PDF Free Download



 

As the field of instructional technology matures, it is becoming clear that technological process used when examining a problem determines the quality of information entered in a program and the ultimate effectiveness of the designed solution. This volume provides a process intended for small-scale expert systems solutions for instructional problems. Hardware independent, it provides a repertoire of practical tools and processes that can be used to select, define, and structure problems.

Particular focus is placed on problems associate with education and training. However, the fields of education, schooling, and training ask more specific benefits from them. This book provides practical approaches to transform these media into learning tools. Crucial helping steps include the migration from expository to exploratory learning strategies, the integration of collaborative learning practices in plenary and individualistic teaching styles, and the evolution from test-driven to experience-oriented training.

The book takes a developmental focus to helpf readers set up and manage the process of developing a multimedia application. It is not a technical or a how-to manual on working with video, sound, digitized graphics, or computer code. The text takes a unique approach to the idea of media-- viewing media as delivery systems: if video is called for, use it; if sound will help in an application, use it.

The fundamental guidelines presented here are usually not media specific. Media works only within the strategies with which they are used. Aimed at practitioners--people who teach about or develop multimedia and hypermedia applications--this volume carefully examines the main components and issues in developing applications.

It provides suggestions and heuristics for sound, fundamental design processes. Altman and Bilderbeek A model for predicting corporate bankruptcy aims to describe the relation between bankruptcy and a number of explanatory financial ratios. These ratios can be calculated from the information contained in a company's annual report.

The is to obtain a method for timely prediction of bankruptcy, a so ultimate purpose called "early warning" system. More recently, this subject has attracted the attention of researchers in the area of machine learning, e. This research is usually directed at the comparison of machine learning methods, such as induction of classification trees and neural networks, with the "standard" statistical methods of linear discriminant analysis and logistic regression.

In earlier research, Feelders et al. The methods used were linear discriminant analysis, decision trees and neural networks. We used a data set which contained annual reports of Dutch industrial and trading companies. The experiments showed that the estimated prediction error of both the decision tree and neural network were below the estimated error of the linear discriminant. Thus it seems that we can gain by replacing the "traditionally" used linear discriminant by a more flexible classification method to predict corporate bankruptcy.

The data set used in these experiments was very small however. The HRM function includes a variety of activities, and key among them is deciding what staffing needs the establishment have and whether to use independence contractors or hire employees to feel these needs, recruiting and training the best employees, ensuring they are high performers, dealing with performance issues, and ensuring the personnel and management practices conform to various regulations.

Managing human resources is increasingly recongnised as a central challenge in international settings. This book offers many insights into the possibilities of creative response to the challenges.

It provides an understanding of the theoretical foundation and the practical implications of international approaches to human resource management. It will be highly informative to practicing managers, students and teachers in various management courses. It reports on the latest research and best practices and discusses key principles of behavioral and cognitive science, which are extremely relevant to the design of instructional content and new technologies to support mobile and multimedia learning, virtual training and web-based learning, among others, as well as performance measurements, social and adaptive learning and many other types of educational technologies, with a special emphasis on those important in the corporate, higher education, and military training contexts.

It highlights important new ideas and will fosters new discussions on how to optimally design learning experiences. Now updated to reflect the latest thinking in the field, this new edition offers not only extensive procedural assistance but also emphasizes the basic principles upon which most of the models and procedures in the instructional design field are built.

The text presents a comprehensive treatment of the instructional design process, including analysis, strategy design, assessment, and evaluation. All Rights Reserved.

 


Expert system in education pdf free. Application of expert system for education



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    The world s education use expert systems to help the learning process. 1. The application of expert systems in education is used for the development of. shell used above is another way of saying expert system development tools but rather an apt way, as the tools provide an empty (content free) structure into. The programming language which explain execution steps directly survey includes the following areas: Medical, Education, [1]. Automobile and Agriculture for.


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