Document Details

Document Type : Thesis 
Document Title :
Personalized Intelligent Assessment Model for Measuring Initial Students Abilities
نموذج تقييم ذكي وشخصي لقياس القدرات الأولية للطلاب
 
Subject : Faculty of Computing and Information Technology-Computing Sciences 
Document Language : Arabic 
Abstract : In adaptive e-learning systems attention is focused on adjusting the learning material to the needs of the individual student. There are differences in the properties of each individual such as differences in skills, prior knowledge, …etc. These characteristics must be measured to display the content that is suitable to individual needs of students. There are different e-assessment models that are appropriate for discovering the prior knowledge and skills of the student. The main objective of this research is to build an e-assessment model for Personal and Intelligent Assessment using Test (PIAT) to facilitate the evaluation process and measure the students' proficiency with more accuracy and store it in the student's profile for later use in the process of adapting content material to individual student needs. The PIAT model is developed for both instructors and students. On one hand the model can help the instructors to develop the test by determining the objectives, creation and reuse of the test items. On the other hand the model can provide a personal test environment to the student. It generates the appropriate questions in an adaptive way, based on the student’s model. The adaptation process is classified in two categories. Firstly, it is categorized according to the level of student's ability which affects the selection and sequence of the question items. Secondly, it is categorized according to the students preferred learning style which affects the structure and presentation of the question. The PIAT model is based on two theories. The first theory is Revised Bloom's Taxonomy (RBT) which is adopted in the model first, in the formulation of behavioral objectives. The test building is based on these objectives. Then in the selection and sequence of question items. The second theory is Felder-Silverman Learning Style Model (FSLSM). This selects question objects and sequence based on student preferred learning styles according to FSLSM. 
Supervisor : Dr. Reda Mohamed Salama Khalifa 
Thesis Type : Master Thesis 
Publishing Year : 1435 AH
2014 AD 
Co-Supervisor : Dr. Shehab Ahmad Gamalel-Din 
Added Date : Thursday, February 20, 2014 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
ليلى محمد الراجحيAl-Rajhi, Laila MohammedResearcherMaster 

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