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Abdelbaset Almasri
Vrije Universiteit Brussel
  1. The Organizational Structure and its Role in Applying the Information Technology Used In the Palestinian Universities- Comparative Study Between Al-Azhar and the Islamic Universities.Abdelbaset Almasri, Suliman A. El Talla, Samy S. Abu-Naser & Mazen J. Al Shobaki - 2018 - International Journal of Academic and Applied Research (IJAAR) 2 (6):1-22.
    The study aimed to study The Organizational Structure and its role in applying the Information Technology Used the Palestinian universities as a comparative study between Al-Azhar and Islamic universities. The researchers used the analytical descriptive method through a questionnaire that randomly distributed among Palestinian university workers in Gaza Strip. A sample of (182) administrative staff from the two universities, the response rate was (81.35%). The study reached a number of results, the most important of which is that there is a (...)
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  2. Survey of Rule-Based Systems.Naser Masri, Yousef Abu Sultan, Alaa N. Akkila, Abdelbaset Almasri, Adel Ahmed, Ahmed Y. Mahmoud, Ihab Zaqout & Samy S. Abu-Naser - 2019 - International Journal of Academic Information Systems Research (IJAISR) 3 (7):1-23.
    Rule-Based Systems (RBS) are computer programs based on technologies established by Artificial Intelligence research, which express some characteristics of human knowledge and expertise to perform tasks normally done by human experts. Thus, a Rule -based system has two distinguishing features: a Rule base and an inference engine. The first part, the Rule base, represents facts about the world. The second part, the inference engine, allows new knowledge to be inferred. Most commonly, it can take the form of IF-THEN rules coupled (...)
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  3. Knowledge-Based Systems Survey.Adel Ahmed, Naser Masri, Yousef Abu Sultan, Alaa N. Akkila, Abdelbaset Almasri, Ahmed Y. Mahmoud, Ihab Zaqout & Samy S. Abu-Naser - 2019 - International Journal of Academic Engineering Research (IJAER) 3 (7):1-22.
    Knowledge-Based Systems (KBS) are computer programs based on technologies established by Artificial Intelligence research, which express some characteristics of human knowledge and expertise to perform tasks normally done by human experts. Thus, a knowledge-based system has two distinguishing features: a knowledge base and an inference engine. The first part, the knowledge base, represents facts about the world. The second part, the inference engine, allows new knowledge to be inferred. Most commonly, it can take the form of IF-THEN rules coupled with (...)
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  4. Intelligent Tutoring Systems Survey for the Period 2000- 2018.Abdelbaset Almasri, Adel Ahmed, Naser Al-Masri, Yousef Abu Sultan, Ahmed Y. Mahmoud, Ihab Zaqout, Alaa N. Akkila & Samy S. Abu-Naser - 2019 - International Journal of Academic Engineering Research (IJAER) 3 (5):21-37.
    The main goals of Intelligent Tutoring Systems (ITS) are: providing highly developed instructional guidance on a one-to-one foundation that is improved than what is attained with traditional computer aided instruction and is analogous to that of a decent human tutor; and developing and testing models of intelligent processes associated with instruction. ITS is a subfield of artificial intelligence. ITS consists of four interacting components: the student model which embodies the student's present knowledge state, the pedagogical module which comprises appropriate instructional (...)
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  5.  82
    Survey of Intelligent Tutoring Systems Up to the End of 2017.Alaa N. Akkila, Abdelbaset Almasri, Adel Ahmed, Naser Al-Masri, Yousef Abu Sultan, Ahmed Y. Mahmoud, Ihab Zaqout & Samy S. Abu-Naser - 2019 - International Journal of Academic Information Systems Research (IJAISR) 3 (4):36-49.
    The main goals of Intelligent Tutoring Systems (ITS) are: providing highly developed instructional guidance on a one-to-one foundation that is improved than what is attained with traditional computer aided instruction and is analogous to that of a decent human tutor; and developing and testing models of intelligent processes associated with instruction. ITS is a subfield of artificial intelligence. ITS consists of four interacting components: the student model which embodies the student's present knowledge state, the pedagogical module which comprises appropriate instructional (...)
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  6.  70
    Survey of Intelligent Tutoring Systems Up To the End of 2016.Alaa N. Akkila, Abdelbaset Almasri, Adel Ahmed, Naser Masri, Yousef Abu Sultan, Ahmed Y. Mahmoud, Ihab Zaqout & Samy S. Abu-Naser - 2019 - International Journal of Academic Information Systems Research (IJAISR) 3 (3):71-81.
    The main goals of Intelligent Tutoring Systems (ITS) are: providing highly developed instructional guidance on a one-to-one foundation that is improved than what is attained with traditional computer aided instruction and is analogous to that of a decent human tutor; and developing and testing models of intelligent processes associated with instruction. ITS is a subfield of artificial intelligence. ITS consists of four interacting components: the student model which embodies the student's present knowledge state, the pedagogical module which comprises appropriate instructional (...)
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  7. Experiences in Mining Educational Data to Analyze Teacher's Performance: A Case Study with High Educational Teachers.Abdelbaset Almasri - 2017 - International Journal of Hybrid Information Technology 10 (12):1-12.
    Educational Data Mining (EDM) is a new paradigm aiming to mine and extract knowledge necessary to optimize the effectiveness of teaching process. With normal educational system work it’s often unlikely to accomplish fine system optimizing due to large amount of data being collected and tangled throughout the system. EDM resolves this problem by its capability to mine and explore these raw data and as a consequence of extracting knowledge. This paper describes several experiments on real educational data wherein the effectiveness (...)
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  8.  34
    Experiences In Migrating An Industrial Application To Aspects.Abdelbaset Almasri - 2006 - Dissertation,
    Aspect-Oriented Software Development (AOSD) is a paradigm aiming to solve problems of object-oriented programming (OOP). With normal OOP it’s often unlikely to accomplish fine system modularity due to crosscutting concerns being scattered and tangled throughout the system. AOSD resolves this problem by its capability to crosscut the regular code and as a consequence transfer the crosscutting concerns to a single model called aspect. This thesis describes an experiment on industrial application wherein the effectiveness of aspect-oriented techniques is explained in migration (...)
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