Using Artificial Intelligence Predict by Quang Hung (4 results)

Taschenbuch. Condition: Neu. Neuware -This book develops a validated set of models to predict student academic performance at university. Different models are developed by using artificial intelligence techniques (i.e., Artificial Neural Networks, Adaptive Neuro-Fuzzy Inference System, and Cuckoo Search algorithm) and a combination of predictor variables. The predictor variables include the results of standardized exams and other factors, such as socio-economic background and student study habits, that may likely influence student performance. The results of the prediction ability of each model are investigated, analyzed, and discussed. The developed models can work as an advisory reference for lecturers in preparing course contents and learning materials. It is expected that this work may be used to support student admission procedures and strengthen the service system in educational institutions.Books on Demand GmbH, Überseering 33, 22297 Hamburg 92 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book develops a validated set of models to predict student academic performance at university. Different models are developed by using artificial intelligence techniques (i.e., Artificial Neural Networks, Adaptive Neuro-Fuzzy Inference System, and Cuckoo Search algorithm) and a combination of predictor variables. The predictor variables include the results of standardized exams and other factors, such as socio-economic background and student study habits, that may likely influence student performance. The results of the prediction ability of each model are investigated, analyzed, and discussed. The developed models can work as an advisory reference for lecturers in preparing course contents and learning materials. It is expected that this work may be used to support student admission procedures and strengthen the service system in educational institutions. 92 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Do Quang HungQuang Hung Do, PhD, is currently with University of Transport Technology (Vietnam). He was a teaching assistant and a researcher at Feng Chia University (Taiwan). He served as a reviewer of several ISI-indexed journals, .

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book develops a validated set of models to predict student academic performance at university. Different models are developed by using artificial intelligence techniques (i.e., Artificial Neural Networks, Adaptive Neuro-Fuzzy Inference System, and Cuckoo Search algorithm) and a combination of predictor variables. The predictor variables include the results of standardized exams and other factors, such as socio-economic background and student study habits, that may likely influence student performance. The results of the prediction ability of each model are investigated, analyzed, and discussed. The developed models can work as an advisory reference for lecturers in preparing course contents and learning materials. It is expected that this work may be used to support student admission procedures and strengthen the service system in educational institutions.