الفهرس 
صفحة العنوانOnly 14 pages are availabe for public view
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Abstract
In Higher Education Environment (HEE), there is a huge volume of data (students, curriculum, employees, and instructors) that come from three types of educational systems: traditional classroom, e-learning, and online learning. Nowadays, many universities seek to improve their efficiency and effectiveness of educational quality. Because of such an interest, the issue of Intended learning outcomes (ILOs) for the education course syllabus assessment is investigated in the Faculty of Commerce and Business Administration, Business Information System (BIS) program at Helwan University, Egypt. The (BIS) program at Helwan University is devoted to excellence in teaching and learning. The strategic objective of the (BIS) program is to provide distinguished graduates who have the knowledge and skills to work on the local, regional, and international levels within the business information technology market.
In the era of the data revolution, students are usually more satisfied when the required data they acquire is more compatible with their personality while this is not a simple task to reform yet. This research proposes a solution via integration between two approaches, that are the knowledge discovery approach and statistical approach in the higher education environment.
In this study, we proposed a framework for personalized content generation (PCG) based on knowledge discovery that divides into two components. The first component called the Content Generation Component (CGC) that aims to support the student in the Higher Education Environment (HEE). Additionally, increasing the education values for students. Furthermore, building smart appropriate materials through Egyptian Knowledge Banking (EKB) based on student questions. The Egyptian Knowledge Bank (EKB) is a rich platform for data. The second component called the Identification Personality Component (IPC) that aims to identify student skills based on three different data sources.