9783330353206 - Automated Assessment of Arabic Essays Based on Data Mining: A Proposed Interactive Expert System de Ewees, Ahmed A. (6 resultados)

Paperback. Condición: Brand New. 108 pages. 8.66x5.91x0.25 inches. In Stock.

Taschenbuch. Condición: Neu. Automated Assessment of Arabic Essays Based on Data Mining | A Proposed Interactive Expert System | Ahmed A. Ewees | Taschenbuch | 108 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330353206 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Students' assessment is the effective way to evaluate the learners. There are two types of assessment; formative and summative, and there are two types of tests objective and subjective. This book is concerned with subjective test namely essays. The essay is an open-ended question that requires the student to structure a free written response. It shows the quality of students' thinking and the depth of their understanding, but assessing this type of questions manually takes a long time and it has a difficulty of achieving both accuracy and credibility satisfactorily. So, many types of researches focused on automated students' essays assessment (AES) to overcome the defects of manual assessment. AES has many challenges especially with Arabic essays; because the Arabic language is a unique language with rich nature and a structure that differs from Latin-based languages. It is highly inflectional and derivational, which makes morphological analysis a very complex task. This book proposes an expert system for assessing students' Arabic essays using data mining techniques, it is called (AAES). The experimental results indicated that AAES can act as a human assessor to a large extent. 108 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ewees Ahmed A.Ahmed Abd ElGhany Ewees (Ahmed A. Ewees) received his Ph.D degree from Damietta University, Egypt in 2012. Currently, Ahmed is conducting research activities in the areas of computational optimization, evolutionary comp.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Students' assessment is the effective way to evaluate the learners. There are two types of assessment; formative and summative, and there are two types of tests objective and subjective. This book is concerned with subjective test namely essays. The essay is an open-ended question that requires the student to structure a free written response. It shows the quality of students' thinking and the depth of their understanding, but assessing this type of questions manually takes a long time and it has a difficulty of achieving both accuracy and credibility satisfactorily. So, many types of researches focused on automated students' essays assessment (AES) to overcome the defects of manual assessment. AES has many challenges especially with Arabic essays; because the Arabic language is a unique language with rich nature and a structure that differs from Latin-based languages. It is highly inflectional and derivational, which makes morphological analysis a very complex task. This book proposes an expert system for assessing students' Arabic essays using data mining techniques, it is called (AAES). The experimental results indicated that AAES can act as a human assessor to a large extent.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Students' assessment is the effective way to evaluate the learners. There are two types of assessment; formative and summative, and there are two types of tests objective and subjective. This book is concerned with subjective test namely essays. The essay is an open-ended question that requires the student to structure a free written response. It shows the quality of students' thinking and the depth of their understanding, but assessing this type of questions manually takes a long time and it has a difficulty of achieving both accuracy and credibility satisfactorily. So, many types of researches focused on automated students' essays assessment (AES) to overcome the defects of manual assessment. AES has many challenges especially with Arabic essays; because the Arabic language is a unique language with rich nature and a structure that differs from Latin-based languages. It is highly inflectional and derivational, which makes morphological analysis a very complex task. This book proposes an expert system for assessing students' Arabic essays using data mining techniques, it is called (AAES). The experimental results indicated that AAES can act as a human assessor to a large extent.