Computer Science

The aim of the thesis is to provide a framework and a proposed adaptive learning model for the learner as an adaptive learning course through the content and evaluation tools that improve the level of education and the availability of learning needs, noting that the study contributed mainly to the use of automatic classification algorithms for adaptation and compatibility with the Moocs educational platforms to produce better results when applying the system.

In her thesis, she pointed to the main factors that search engines in the medical field rely on to return high-quality results to suit the users needs; their need to get vocabulary that best describes their information needs and that results quality dependes on the research techniques effectiveness and sources of medical terminology used by these engines. The researcher suggested several systems and methodologies to address the related problems to each of these factors independently.

The researcher pointed to the importance of extracting information from CVs in activating and accelerating the automatic screening of candidates, and the process of directing resumes towards the functional categories affiliated with them and arranging them automatically according to their fulfillment of the job announcements’ requirements.