An intelligent tutoring system for health problems related to addiction of video game playing
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This paper introduces an intelligent tutoring system for both parent and their children for enhancement the experience of gaming and tell us about the health problems and how we can solve them, with an easy user interface that way can our children be happy and excited about the information and their health.
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International Journal of Advanced Scientific Research
4
International Journal of Advanced Scientific Research
ISSN: 2456-0421; Impact Factor: RJIF 5.32
www.allscientificjournal.com
Volume 2; Issue 1; January 2017; Page No. 04-10
An intelligent tutoring system for health problems related to addiction of video game playing
Mohran H Al-Bayed, Samy S Abu Naser
Department of Information Technology, Faculty of Engineering & Information Technology, Al-Azhar University, Gaza, Palestine
Abstract
Lately in the past couple of years, there are an increasing in the normal rate of playing computer games or video games compared
to the E-learning content that are introduced for the safety of our children, and the impact of the video game addictiveness that
ranges from (Musculoskeletal issues, Vision problems and Obesity). Furthermore, this paper introduce an intelligent tutoring
system for both parent and their children for enhancement the experience of gaming and tell us about the health problems and
how we can solve them, with an easy user interface that way can our children be happy and excited about the information and
their health.
Keywords: tutoring system; e-learning; expert systems; video games; health; video game addiction
1. Introduction
A lot of different views of the video gaming industry
arguments about how that industry is responsible about the
majority of our children problems in there societal, scientific
and healthcare and their negative behaviors and attitudes in the
normal life [3].
In spite of starter of games development industry from the
1980s, different researches confirmed the negative effects that
link addiction of video games, violence, aggression and other
issues that appeared especially for specific video game genres
[4] even if used as an educational tool in the schools.
Fig 1: Video game addiction
After gathering data from more than 4,000 households and
surveyed their opinion about the video game playing of his
children [5]; The Entertainment Software Association (ESA)
published on 2016 about the Computer and Video Game
Industry; and inference that every house contain at least one
person who play games for at least 3 hours/week with average
of 13 years from his life. About half of this is female (48%),
with high percent of 21% of the total ages of 18 or younger,
and a majority of parents (91%) say it must be present on
purchasing video games and want to check Entertainment
Software Rating Board (ESRB) [17] before letting their child to
play the game.
In spite of this result, we introduce our intelligent tutoring
system to help raid of the most problems of extra time games
playing like Musculoskeletal [18], Vision problems [19] and the
increase BMI for our children over the time spent on playing
games [20].
2. Intelligent Tutoring Systems (ITS)
Fig 2: Component of the ITS systems
Intelligent Tutoring Systems is using computer system to
provide E-Learning content to the user without the need of
expert teacher like class in any traditional school or university.
This programs allow using and provide enhance experience to
the learner and immediate feedback to them on organizational
way like the expert teacher[6-14, 21-38] see figure 2 for details.
ITS have four essential components:
Domain model: the lessons that present the learning
content to the learner.
4
International Journal of Advanced Scientific Research
ISSN: 2456-0421; Impact Factor: RJIF 5.32
www.allscientificjournal.com
Volume 2; Issue 1; January 2017; Page No. 04-10
An intelligent tutoring system for health problems related to addiction of video game playing
Mohran H Al-Bayed, Samy S Abu Naser
Department of Information Technology, Faculty of Engineering & Information Technology, Al-Azhar University, Gaza, Palestine
Abstract
Lately in the past couple of years, there are an increasing in the normal rate of playing computer games or video games compared
to the E-learning content that are introduced for the safety of our children, and the impact of the video game addictiveness that
ranges from (Musculoskeletal issues, Vision problems and Obesity). Furthermore, this paper introduce an intelligent tutoring
system for both parent and their children for enhancement the experience of gaming and tell us about the health problems and
how we can solve them, with an easy user interface that way can our children be happy and excited about the information and
their health.
Keywords: tutoring system; e-learning; expert systems; video games; health; video game addiction
1. Introduction
A lot of different views of the video gaming industry
arguments about how that industry is responsible about the
majority of our children problems in there societal, scientific
and healthcare and their negative behaviors and attitudes in the
normal life [3].
In spite of starter of games development industry from the
1980s, different researches confirmed the negative effects that
link addiction of video games, violence, aggression and other
issues that appeared especially for specific video game genres
[4] even if used as an educational tool in the schools.
Fig 1: Video game addiction
After gathering data from more than 4,000 households and
surveyed their opinion about the video game playing of his
children [5]; The Entertainment Software Association (ESA)
published on 2016 about the Computer and Video Game
Industry; and inference that every house contain at least one
person who play games for at least 3 hours/week with average
of 13 years from his life. About half of this is female (48%),
with high percent of 21% of the total ages of 18 or younger,
and a majority of parents (91%) say it must be present on
purchasing video games and want to check Entertainment
Software Rating Board (ESRB) [17] before letting their child to
play the game.
In spite of this result, we introduce our intelligent tutoring
system to help raid of the most problems of extra time games
playing like Musculoskeletal [18], Vision problems [19] and the
increase BMI for our children over the time spent on playing
games [20].
2. Intelligent Tutoring Systems (ITS)
Fig 2: Component of the ITS systems
Intelligent Tutoring Systems is using computer system to
provide E-Learning content to the user without the need of
expert teacher like class in any traditional school or university.
This programs allow using and provide enhance experience to
the learner and immediate feedback to them on organizational
way like the expert teacher[6-14, 21-38] see figure 2 for details.
ITS have four essential components:
Domain model: the lessons that present the learning
content to the learner.
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International Journal of Advanced Scientific Research
5
Student model: the student like experience and data on our
system.
Teaching model: this software like teacher model that
matches the learner experience with the knowledge base to
reach appropriate feedback and related score. This are
accomplished using the Knowledge tracing unit.
User Interface model: represent the both component of
student and the teacher UI for using the tutor.
3. Authoring System
A program that help in creating more than ITS with relatively
easy way and provide the experience of crating ITS without the
need of expert programmer to made it.
Our Intelligent Tutoring System was implemented using used
ITSB authoring tool that are stands for Intelligent Tutoring
System Builder [1]. It is a two language supported system
(English and Arabic) and easy to manage throw their student
UI and the Teacher UI screens. The ITSB implemented in
Delphi Embarcadero RAD Studio XE8 [2]. ITSB is easy for the
domain expert to build the ITS system and for the end users
when they use it, without any requirement of programming of
use.
4. Literature Review
Many of ITS systems published over the couples of years[6-
14,21-37]; ranging from learning programming languages (C++,
java), the Spoken language (Arabic, English), Mathematical
equations or operations, and the addition of this system is
mainly increasing over the past years; but there is no
specialized tutoring system for teaching games health
problems.
A recent ITS is called COMET[15] that are used for medical
problem-based learning; Another one is for Mentoring
Diabetes [16]; The Major of these ITS are specialized in one
specific disease and other in a few diseases. However, the
current proposed ITS system is specialized in the video games
playing health problem.
5. Materials and Content
The proposed IT’S provide a leaning content about the video
games playing health problem for:
a) Musculoskeletal issues: ranging from pain in the hands,
wrists and the thumb of the controller that used on the rapid
gaming experience of the players [18].
Video Game Benefits: A proposed solution to the
problem to tell children to play slowly.
b) Vision problems: ranging from eyestrain on cornea to the
iris that can lead to headaches, dizziness, and evens chances
of vomiting from focusing on a screen [19].
Protecting Your Vision: A proposed solution to the
problem.
c) Obesity problems: ranging from the extra weight to the
BMI change in faster way over the game playing time [20].
To combat weight problems, get the whole family
involved: A proposed solution to the problem.
After the learner finish, each chapter he can proceeds to the
questions that are ranging from asking questions that requires
Yes/No answers to a physical content (Videos and Images) of
players that play on some specific scenario and give the user
the ability to choose the correct symptoms based on the info
that are given. The proposed ITS will ask the user to choose the
correct answer in each question window. At the end of the
chapter session, there is a proposed recommendation for each
symptoms that can happen to the users. Figure 3 shows the first
screen of the ITS session. Figure 4 shows an example of
lessons on the main teacher screen. Figure 5 shows question
window that we can add, remove or modify them. Figure 6
shows the main user window with lesson selected. Figure 7
shows user window with example to the lesson selected. Figure
8 shows user question main window. Figure 9 shows question
with the check result option. Figure 10 shows question window
with hint added to the question. Figure 11 shows feedback to
the user to re-study specific lesson after failing on questions.
Figure 12 feedback to the user after complete specific lesson
with his score. In addition, Figure 13 shows tutor status for all
students with the ability to see his current score, difficulty and
his overall section.
Fig 3: Shows start screen of the ITS system session
5
Student model: the student like experience and data on our
system.
Teaching model: this software like teacher model that
matches the learner experience with the knowledge base to
reach appropriate feedback and related score. This are
accomplished using the Knowledge tracing unit.
User Interface model: represent the both component of
student and the teacher UI for using the tutor.
3. Authoring System
A program that help in creating more than ITS with relatively
easy way and provide the experience of crating ITS without the
need of expert programmer to made it.
Our Intelligent Tutoring System was implemented using used
ITSB authoring tool that are stands for Intelligent Tutoring
System Builder [1]. It is a two language supported system
(English and Arabic) and easy to manage throw their student
UI and the Teacher UI screens. The ITSB implemented in
Delphi Embarcadero RAD Studio XE8 [2]. ITSB is easy for the
domain expert to build the ITS system and for the end users
when they use it, without any requirement of programming of
use.
4. Literature Review
Many of ITS systems published over the couples of years[6-
14,21-37]; ranging from learning programming languages (C++,
java), the Spoken language (Arabic, English), Mathematical
equations or operations, and the addition of this system is
mainly increasing over the past years; but there is no
specialized tutoring system for teaching games health
problems.
A recent ITS is called COMET[15] that are used for medical
problem-based learning; Another one is for Mentoring
Diabetes [16]; The Major of these ITS are specialized in one
specific disease and other in a few diseases. However, the
current proposed ITS system is specialized in the video games
playing health problem.
5. Materials and Content
The proposed IT’S provide a leaning content about the video
games playing health problem for:
a) Musculoskeletal issues: ranging from pain in the hands,
wrists and the thumb of the controller that used on the rapid
gaming experience of the players [18].
Video Game Benefits: A proposed solution to the
problem to tell children to play slowly.
b) Vision problems: ranging from eyestrain on cornea to the
iris that can lead to headaches, dizziness, and evens chances
of vomiting from focusing on a screen [19].
Protecting Your Vision: A proposed solution to the
problem.
c) Obesity problems: ranging from the extra weight to the
BMI change in faster way over the game playing time [20].
To combat weight problems, get the whole family
involved: A proposed solution to the problem.
After the learner finish, each chapter he can proceeds to the
questions that are ranging from asking questions that requires
Yes/No answers to a physical content (Videos and Images) of
players that play on some specific scenario and give the user
the ability to choose the correct symptoms based on the info
that are given. The proposed ITS will ask the user to choose the
correct answer in each question window. At the end of the
chapter session, there is a proposed recommendation for each
symptoms that can happen to the users. Figure 3 shows the first
screen of the ITS session. Figure 4 shows an example of
lessons on the main teacher screen. Figure 5 shows question
window that we can add, remove or modify them. Figure 6
shows the main user window with lesson selected. Figure 7
shows user window with example to the lesson selected. Figure
8 shows user question main window. Figure 9 shows question
with the check result option. Figure 10 shows question window
with hint added to the question. Figure 11 shows feedback to
the user to re-study specific lesson after failing on questions.
Figure 12 feedback to the user after complete specific lesson
with his score. In addition, Figure 13 shows tutor status for all
students with the ability to see his current score, difficulty and
his overall section.
Fig 3: Shows start screen of the ITS system session
International Journal of Advanced Scientific Research
6
Fig 4: Shows ITS main teacher screen with its options
Fig 5: Shows ITS main questions screen
Fig 6: Shows ITS main user screen with lesson selected
6
Fig 4: Shows ITS main teacher screen with its options
Fig 5: Shows ITS main questions screen
Fig 6: Shows ITS main user screen with lesson selected
International Journal of Advanced Scientific Research
7
Fig 7: Shows ITS main user screen with example selected
Fig 8: Shows ITS main questions screen within lessons
Fig 9: Shows ITS questions check answer
7
Fig 7: Shows ITS main user screen with example selected
Fig 8: Shows ITS main questions screen within lessons
Fig 9: Shows ITS questions check answer
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International Journal of Advanced Scientific Research
8
Fig 10: Shows ITS questions with a hint
Fig 11: Shows ITS feedback to user to re-study specific lesson
Fig 12: Shows ITS feedback to user after complete specific lesson with its questions
8
Fig 10: Shows ITS questions with a hint
Fig 11: Shows ITS feedback to user to re-study specific lesson
Fig 12: Shows ITS feedback to user after complete specific lesson with its questions
International Journal of Advanced Scientific Research
9
Fig 13: Shows ITS main status for student
6. Conclusion
In this paper, intelligent tutoring system solution developed for
aiding learner to diagnosing patients with possible Games
Health Problems. This ITS does not require extra training to be
used; it has a straightforward and user-friendly interface with
support of videos and images to enhance the experience of any
user can use it. It was developed using ITSB authoring tool.
Moreover, the results of the preliminary testing of this system
showed potential and notifiable enhancement to the user level
of learning based on its content.
7. Future Work
This IT’S considered the first released of our system; more
aureate synonyms will be handled and treated to be added in an
easy way to learn for more users from anywhere at any time. In
addition, more questions will be added and more question
scenarios for aiding the content will generated.
8. References
1. Naser SSA. ITSB: An Intelligent Tutoring System
Authoring Tool. Journal of Scientific and Engineering
Research. 2016; 3(5):63-71.
2. https://www.embarcadero.com/products/rad-studio
Accessed 12 January, 2017.
3. Naser SSA, Al-Bayed MH. Detecting Health Problems
Related to Addiction of Video Game Playing Using an
Expert System. World Wide Journal of Multidisciplinary
Research and Development. 2016; 2(9):7-12.
4. Freedman J. Media violence and its effect on aggression:
assessing the scientific evidence, 2002. ISBN 0802084257.
5. http://essentialfacts.theesa.com/ Accessed 12, 2017.
6. Naser S. evaluating the effectiveness of the CPP-Tutor an
intelligent tutoring system for students learning to program
in C++. Journal of Applied Sciences Research;
www.aensiweb.com/JASR/. 2009; 5(1):109-114.
7. Naser SA. A comparative study between Animated
Intelligent Tutoring Systems (AITS) and Video-based
Intelligent Tutoring Systems (VITS). Al-Aqsa University
Journal. 2001; 5(1):1.
8. Naser SA. An Agent Based Intelligent Tutoring System
For Parameter Passing In Java Programming. Journal of
Theoretical & Applied Information Technology, 2008;
4(7).
9. Naser SA, Ahmed A, Al-Masri N, Sultan YA. Human
Computer Interaction Design of the LP-ITS: Linear
Programming Intelligent Tutoring Systems. International
Journal of Artificial Intelligence & Applications
(IJAIA). 2011; 2(3):60-70.
10. Naser SSA. Intelligent tutoring system for teaching
database to sophomore students in Gaza and its effect on
their performance. Information Technology Journal;
Scialert, 2006; 5(5):916-922.
11. Naser SSA. Developing an intelligent tutoring system for
students learning to program in C++. Information
Technology Journal Scialert. 2008; 7(7):1055-1060.
12. Naser SSA. A Qualitative Study of LP-ITS: Linear
Programming Intelligent Tutoring System. International
Journal of Computer Science & Information
Technology, 2012; 4(1):209-220.
13. Naser SSA. Predicting learner’s performance using
artificial neural networks in linear programming intelligent
tutoring system. International Journal of Artificial
Intelligence & Applications. 2012; 3(2):65-73.
14. Naser SSA, Sulisel O. The effect of using computer aided
instruction on performance of 10th grade biology in
Gaza. Journal of the College of Education. 2000; 4:9-37.
15. Peter Haddawy, Siriwan Suebnukarn. COMET: A
Collaborative Tutoring System for Medical Problem-
Based Learning, IEEE Intelligent Systems, 2007; 22:70-
77. July/August 2007, doi:10.1109/MIS.2007.66
16. Gujarathi MV, Sonawane MS. Intelligent Tutoring
System: A case study of mobile entering for diabetes-
IJAIS, 2012; 3(8):41-43.
17. www.esrb.org/ Accessed 12, 2017.
18. Safura Abdool Karim. Playstation thumb-a new epidemic
in children. S. Afr. Med. J. 2005; 95(6).
19. Gillespie RM. The physical impact of computers and
electronic game use on children and adolescents, a review
of current literature. 2002; 18(3).
20. Rehbein F, Kleimann M, Mössle T. Prevalence and risk
factors of video game dependency in adolescence: results
of a German nationwide survey. 2010; 12(3).
21. Abu Naser S. JEE-Tutor: An Intelligent Tutoring System
for Java Expression Evaluation, Information Technology
Journal, Scialert, 2008; 7(3):528-532.
9
Fig 13: Shows ITS main status for student
6. Conclusion
In this paper, intelligent tutoring system solution developed for
aiding learner to diagnosing patients with possible Games
Health Problems. This ITS does not require extra training to be
used; it has a straightforward and user-friendly interface with
support of videos and images to enhance the experience of any
user can use it. It was developed using ITSB authoring tool.
Moreover, the results of the preliminary testing of this system
showed potential and notifiable enhancement to the user level
of learning based on its content.
7. Future Work
This IT’S considered the first released of our system; more
aureate synonyms will be handled and treated to be added in an
easy way to learn for more users from anywhere at any time. In
addition, more questions will be added and more question
scenarios for aiding the content will generated.
8. References
1. Naser SSA. ITSB: An Intelligent Tutoring System
Authoring Tool. Journal of Scientific and Engineering
Research. 2016; 3(5):63-71.
2. https://www.embarcadero.com/products/rad-studio
Accessed 12 January, 2017.
3. Naser SSA, Al-Bayed MH. Detecting Health Problems
Related to Addiction of Video Game Playing Using an
Expert System. World Wide Journal of Multidisciplinary
Research and Development. 2016; 2(9):7-12.
4. Freedman J. Media violence and its effect on aggression:
assessing the scientific evidence, 2002. ISBN 0802084257.
5. http://essentialfacts.theesa.com/ Accessed 12, 2017.
6. Naser S. evaluating the effectiveness of the CPP-Tutor an
intelligent tutoring system for students learning to program
in C++. Journal of Applied Sciences Research;
www.aensiweb.com/JASR/. 2009; 5(1):109-114.
7. Naser SA. A comparative study between Animated
Intelligent Tutoring Systems (AITS) and Video-based
Intelligent Tutoring Systems (VITS). Al-Aqsa University
Journal. 2001; 5(1):1.
8. Naser SA. An Agent Based Intelligent Tutoring System
For Parameter Passing In Java Programming. Journal of
Theoretical & Applied Information Technology, 2008;
4(7).
9. Naser SA, Ahmed A, Al-Masri N, Sultan YA. Human
Computer Interaction Design of the LP-ITS: Linear
Programming Intelligent Tutoring Systems. International
Journal of Artificial Intelligence & Applications
(IJAIA). 2011; 2(3):60-70.
10. Naser SSA. Intelligent tutoring system for teaching
database to sophomore students in Gaza and its effect on
their performance. Information Technology Journal;
Scialert, 2006; 5(5):916-922.
11. Naser SSA. Developing an intelligent tutoring system for
students learning to program in C++. Information
Technology Journal Scialert. 2008; 7(7):1055-1060.
12. Naser SSA. A Qualitative Study of LP-ITS: Linear
Programming Intelligent Tutoring System. International
Journal of Computer Science & Information
Technology, 2012; 4(1):209-220.
13. Naser SSA. Predicting learner’s performance using
artificial neural networks in linear programming intelligent
tutoring system. International Journal of Artificial
Intelligence & Applications. 2012; 3(2):65-73.
14. Naser SSA, Sulisel O. The effect of using computer aided
instruction on performance of 10th grade biology in
Gaza. Journal of the College of Education. 2000; 4:9-37.
15. Peter Haddawy, Siriwan Suebnukarn. COMET: A
Collaborative Tutoring System for Medical Problem-
Based Learning, IEEE Intelligent Systems, 2007; 22:70-
77. July/August 2007, doi:10.1109/MIS.2007.66
16. Gujarathi MV, Sonawane MS. Intelligent Tutoring
System: A case study of mobile entering for diabetes-
IJAIS, 2012; 3(8):41-43.
17. www.esrb.org/ Accessed 12, 2017.
18. Safura Abdool Karim. Playstation thumb-a new epidemic
in children. S. Afr. Med. J. 2005; 95(6).
19. Gillespie RM. The physical impact of computers and
electronic game use on children and adolescents, a review
of current literature. 2002; 18(3).
20. Rehbein F, Kleimann M, Mössle T. Prevalence and risk
factors of video game dependency in adolescence: results
of a German nationwide survey. 2010; 12(3).
21. Abu Naser S. JEE-Tutor: An Intelligent Tutoring System
for Java Expression Evaluation, Information Technology
Journal, Scialert, 2008; 7(3):528-532.
International Journal of Advanced Scientific Research
10
22. Abu-Naser S, Ahmed A, Al-Masri N, Deeb A, Moshtaha
E, AbuLamdy M. An Intelligent Tutoring System for
Learning Java Objects. International Journal of Artificial
Intelligence and Applications (IJAIA), 2011; 2(2).
23. Abu-Naser S, Al-Masri A, Sultan YA, Zaqout I. A
prototype decision support system for optimizing the
effectiveness of elearning in educational institutions.
International Journal of Data Mining & Knowledge
Management Process (IJDKP), 2011; 1:1-13.
24. Akkila AN, Naser SSA. Teaching the Right Letter
Pronunciation in Reciting the Holy Quran Using
Intelligent Tutoring System. International Journal of
Advanced Research and Development. 2017; 2(1).
25. Al-Bastami BH, Naser SSA. Design and Development of
an Intelligent Tutoring System for C# Language, European
Academic Research. 2017; 4(10).
26. ALDahdooh R, Naser SSA. Development and Evaluation
of the Oracle Intelligent Tutoring System (OITS),
European Academic Research. 2017; 4(10).
27. Alhabbash MI, Mahdi AO, Abu Naser SS. An Intelligent
Tutoring System for Teaching Grammar English
Tenses. European Advanced Research, 2016; 4(9):7743-
7757.
28. Al-Hanjori MM, Shaath MZ, Naser SSA. Learning
Computer Networks Using Intelligent Tutoring System.
International Journal of Advanced Research and
Development. 2017; 2(1).
29. Almurshidi SH, Naser SSA. Design and Development of
Diabetes Intelligent Tutoring System. European Academic
Research. 2017; 4(9):8117-8128.
30. Almurshidi SH, Naser SSA. Stomach Disease Intelligent
Tutoring System. International Journal of Advanced
Research and Development. 2017; 2(1).
31. Al-Nakhal MA, Naser SSA. An Intelligent Tutoring
System for learning Computer Theory, European
Academic Research, 2017; 4(10).
32. El Haddad IA, Naser SSA. ADO-Tutor: Intelligent
Tutoring System for leaning ADO.NET. European
Academic Research. 2017; 4(10).
33. Hamed MA, Naser SSA. An Intelligent Tutoring System
for Teaching the 7 Characteristics for Living Things.
International Journal of Advanced Research and
Development. 2017; 2(1).
34. Hilles MM, Naser SSA. Knowledge-based Intelligent
Tutoring System for Teaching Mongo Database. European
Academic Research, 2017; 4(10).
35. Mahdi AO, Alhabbash MI, Naser SSA. An intelligent
tutoring system for teaching advanced topics in
information security. World Wide Journal of
Multidisciplinary Research and Development. 2016;
2(12):1-9.
36. Naser SSA. Developing visualization tool for teaching AI
searching algorithms, Information Technology Journal
Scialert. 2008; 7(2):350-355.
37. Elnajjar AA, Naser SSA. DSE-Tutor: An Intelligent
Tutoring System for Teaching DES Information Security
Algorithm. International Journal of Advanced Research
and Development. 2017; 2(1).
38. Mahmoud AY, Barakat MS, Ajjour MJ. Design and
Development of Elearning University System. (Journal of
Multidisciplinary Engineering Science Studies (JMESS).
2016; 2(5):498-504.
10
22. Abu-Naser S, Ahmed A, Al-Masri N, Deeb A, Moshtaha
E, AbuLamdy M. An Intelligent Tutoring System for
Learning Java Objects. International Journal of Artificial
Intelligence and Applications (IJAIA), 2011; 2(2).
23. Abu-Naser S, Al-Masri A, Sultan YA, Zaqout I. A
prototype decision support system for optimizing the
effectiveness of elearning in educational institutions.
International Journal of Data Mining & Knowledge
Management Process (IJDKP), 2011; 1:1-13.
24. Akkila AN, Naser SSA. Teaching the Right Letter
Pronunciation in Reciting the Holy Quran Using
Intelligent Tutoring System. International Journal of
Advanced Research and Development. 2017; 2(1).
25. Al-Bastami BH, Naser SSA. Design and Development of
an Intelligent Tutoring System for C# Language, European
Academic Research. 2017; 4(10).
26. ALDahdooh R, Naser SSA. Development and Evaluation
of the Oracle Intelligent Tutoring System (OITS),
European Academic Research. 2017; 4(10).
27. Alhabbash MI, Mahdi AO, Abu Naser SS. An Intelligent
Tutoring System for Teaching Grammar English
Tenses. European Advanced Research, 2016; 4(9):7743-
7757.
28. Al-Hanjori MM, Shaath MZ, Naser SSA. Learning
Computer Networks Using Intelligent Tutoring System.
International Journal of Advanced Research and
Development. 2017; 2(1).
29. Almurshidi SH, Naser SSA. Design and Development of
Diabetes Intelligent Tutoring System. European Academic
Research. 2017; 4(9):8117-8128.
30. Almurshidi SH, Naser SSA. Stomach Disease Intelligent
Tutoring System. International Journal of Advanced
Research and Development. 2017; 2(1).
31. Al-Nakhal MA, Naser SSA. An Intelligent Tutoring
System for learning Computer Theory, European
Academic Research, 2017; 4(10).
32. El Haddad IA, Naser SSA. ADO-Tutor: Intelligent
Tutoring System for leaning ADO.NET. European
Academic Research. 2017; 4(10).
33. Hamed MA, Naser SSA. An Intelligent Tutoring System
for Teaching the 7 Characteristics for Living Things.
International Journal of Advanced Research and
Development. 2017; 2(1).
34. Hilles MM, Naser SSA. Knowledge-based Intelligent
Tutoring System for Teaching Mongo Database. European
Academic Research, 2017; 4(10).
35. Mahdi AO, Alhabbash MI, Naser SSA. An intelligent
tutoring system for teaching advanced topics in
information security. World Wide Journal of
Multidisciplinary Research and Development. 2016;
2(12):1-9.
36. Naser SSA. Developing visualization tool for teaching AI
searching algorithms, Information Technology Journal
Scialert. 2008; 7(2):350-355.
37. Elnajjar AA, Naser SSA. DSE-Tutor: An Intelligent
Tutoring System for Teaching DES Information Security
Algorithm. International Journal of Advanced Research
and Development. 2017; 2(1).
38. Mahmoud AY, Barakat MS, Ajjour MJ. Design and
Development of Elearning University System. (Journal of
Multidisciplinary Engineering Science Studies (JMESS).
2016; 2(5):498-504.
1 out of 7
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