International Journal of Academic Multidisciplinary Research (IJAMR) ISSN: 2000-006X Vol. 2 Issue 2, February – 2018, Pages: 9-12 www.ijeais.org/ijamr 9 ITS for Teaching French Randa Amer Khella Department of Information Technology, Faculty of Engineering & Information Technology, Al-Azhar University, Gaza, Palestine Abstract: The paper depicts the blueprint of an electronic wise indicating system for demonstrating learning French to understudies to overcome the inconveniences they go up against. The fundamental idea of this structure is a proficient introduction into learning French. The system shows the purpose of learning French and coordinates thusly made issues for the understudies to clarify. The system is logically balanced at run time to the understudy's individual progress. The system gives unequivocal help to adaptable presentation to learners. Keywords: Intelligent Tutoring System (ITS), learning French, Expert System, Artificial intelligence. 1. INTRODUCTION Learning and mastering one language today is not enough. Individuals who speak several languages are more likely to have a job suitable for them, whether in their own country or abroad. Learning new languages will enrich the human mind and open up new horizons. The French language is the only language spoken by the five continents. It is the second most widely used language after English. Learning the language through Intelligent Tutoring Systems (ITSs) helps the individual to identify different vocabulary, or vocabulary that is difficult to distinguish and know its meaning. Studying the French language with a spoken voice is better for the individual to learn French by listening, not just reading. Learning French words in sentences rather than on their own is better for a person to put the new word into a useful sentence, which leads to the ease of speaking the language later. Spending 15 minutes each day studying the language would give better results than sitting for a very long time for vocabulary and grammar. Those who wish to learn French should build a base of basic words, sentences and rules, through what they read in any book in French or hear it in any text, and then write it in the form of a set of sentences. It is not possible to learn any language without understanding its words and the way to use it, a list of words with their meanings is written, saved and constantly reviewed. 2. LITERATURE REVIEW Numerous analysts have utilized a brilliant instructing frame Intelligent Tutoring System work that has some expertise in training, for example, teaching Java objects Programming language[8],SQL-Tutor, ITS that teach students English dialogues through interaction with students and it takes into account the individual differences of students through levels [3]. ITS to examine errors in algebra [4]. A comparative study between Animated Intelligent Tutoring Systems (AITS) and Video-based Intelligent Tutoring Systems (VITS) [7], Affective Tutoring Systems (ATS) based on embedded devices is a system that relies on embedded devices for detecting the feelings, emotion, psychology student and also adapt to the student's mood such as angry, frustrated and fatigued etc. Based on the mood and feelings of the student, the student will learn [8, 9], teaching AI searching algorithms [10], teaching database to sophomore students in Gaza [11], Predicting learners performance using NT and ITS [12], learning to program in C++ [13], and security algorithms [43-53]. 3. ITS ARCHITECTURE An ordinary ITS has four crucial modules: domain model, teaching model, student model and user interfaces. The space display includes the course arrangement in an organized style. A course may have an assortment of parts, such as division, sub-divisions, and subjects. These parts are put away in the space display together with their conditions. Every one of the materials and assets important to guide an understudy are likewise kept in this module. Along these lines, understudy display is an imperative instrument for the adjustment procedure. The showing module contains all the basic leadership strategy concerning course arrangement and adjustment. Regularly, this module is known as the control motor, since this module controls the whole framework, by tolerating inputs from alternate parts. The teaching module contains all the decision-making procedure concerning course preparation and adaptation. Often, this module is called the control engine, because this module controls the entire system, by accepting inputs from the other parts. Lastly, the user interfaces have two sections one for the student and the other for the teacher. Teacher's interface is accustomed to arrange and adjust the system and its different parts. So, the teacher's interface behaves as the authoring tool. By his interface, the teacher can add new lessons, adjust the established ones, and revise teaching methods. The student's interface is used to convey all the teaching commands. The sort and the type of these commands would differ with student's ability and performance level. General system architecture is shown in Fig. 1. International Journal of Academic Multidisciplinary Research (IJAMR) ISSN: 2000-006X Vol. 2 Issue 2, February – 2018, Pages: 9-12 www.ijeais.org/ijamr 10 Figure 1: Overall System Architecture. 3.1 ITS Domain Model The domain model is concerned with the lessons, its arrangement and a range of elements. There are two fundamental components in domain model. The first component, Domain Organization Model, deals with the arrangement and organization of the lessons and its topics. The second one, Repository, deals with the materials being taught themselves. Reasons of learning French: lesson 1: Letters and pronunciation. lesson 2: Numbers. lesson 3: Colors. lesson 4: social studies. lesson 5: the days. lesson 6: Parents and relatives. lesson 7: Expressions and time. lesson 8: the four directions. lesson 9: Pronouns. lesson 10: Some words and phrases. lesson 11: Complimentary expressions. lesson 12: The qualities. lesson 13: Conditions of time. lesson 14: Conditions of place. lesson 15: Words we hear a lot. lesson 16: Notes and alerts. lesson 17: Months. lesson 18: seasons. 3.2 ITS Student Model State based approach was implemented in the student model. However, there are quite a few parameters for educational modeling of a student throughout a learning procedure. 3.3 ITS Teaching module Teaching module is considered to be the most important component of an ITS. The primary task of this module is to arrange a sequence of teaching actions to be taken during a teaching process. These actions and their sequence should go with the student's ability, requirement and objectives. The arrangement is done at two stages. At the first stage, ordering of the topics for the student needs to be arranged. This stage begins from the initial state and finishes when all the topics are included in the sequence. At the second stage, after a topic is chosen another arrangement is essential to compute the exact technique of teaching that topic. This engages selecting the proper type of the document and the proper medium. 3.4 ITS User Interfaces Interfaces are an essential part of the ITSB system. There are two classes of users, teachers and the students. The ITSB authoring tool has both interfaces. Each class of users see different interface for their interactions with the system. International Journal of Academic Multidisciplinary Research (IJAMR) ISSN: 2000-006X Vol. 2 Issue 2, February – 2018, Pages: 9-12 www.ijeais.org/ijamr 11 Fig 2: Student Login Form. Fig 3: Form for adding ITS Basic Data. Fig 4: Form for adjusting Fonts Name, color and Font Size of all screens of the system. Fig 5: Form for adding questions and answers. Fig 7: Form for student data Fig 8: Form for lesson. 4. CONCLUSIONS ITSs are seen as future's coaching framework and numerous examinations achieved around there, ITSs are very fruitful and moderately having instructors' spot, they go up against supporting obligation for understudies. In conventional showing condition, understudies' disparities aren't considered. In this paper, I was outlined built up an astute coaching framework for understudies picking up Teaching French. The framework was produced for understudies who need to ponder prescription or increment their insight in this field effortlessly and easily. Framework engineering and prerequisites of understudies and instructors were taken in light of the outline of the framework. International Journal of Academic Multidisciplinary Research (IJAMR) ISSN: 2000-006X Vol. 2 Issue 2, February – 2018, Pages: 9-12 www.ijeais.org/ijamr 12 REFERENCES 1. Almasri, A., et al. (2019). "Intelligent Tutoring Systems Survey for the Period 2000-2018." International Journal of Academic Engineering Research (IJAER) 3(5): 21-37. 2. Almurshidi, S. H. and S. S. Abu Naser (2017). "Design and Development of Diabetes Intelligent Tutoring System." European Academic Research 6(9): 8117-8128. 3. Almurshidi, S. H. and S. S. Abu Naser (2017). "Stomach disease intelligent tutoring system." International Journal of Advanced Research and Development 2(1): 26-30. 4. Al-Nakhal, M. A. and S. S. Abu Naser (2017). "Adaptive Intelligent Tutoring System for learning Computer Theory." European Academic Research 6(10): 8770-8782. 5. Alshawwa, I. A., et al. (2019). "An Intelligent Tutoring System for Learning Computer Network CCNA." International Journal of Engineering and Information Systems (IJEAIS) 3(2). 6. Al-Shawwa, M., et al. (2019). "An Intelligent Tutoring System for Learning Java." International Journal of Academic Information Systems Research (IJAISR) 3(1): 1-6. 7. Anderson, J., et al. (2005). "Adaptation of Problem Presentation and Feedback in an Intelligent Mathematics Tutor." Information Technology Journal 5(5): 167-207. 8. Azaab, S., et al. (2000). "A proposed expert system for selecting exploratory factor analysis procedures." Journal of the College of Education 4(2): 9-26. 9. Bakeer, H. M. S. and S. S. Abu-Naser (2019). "An Intelligent Tutoring System for Learning TOEFL." International Journal of Academic Pedagogical Research (IJAPR) 2(12): 9-15. 10. Baker, J., et al. "& Heller, R.(1996)." Information Visualization. Information Technology Journal 7(2). 11. Baker, J., et al. (1996). "Information Visualization." Information Technology Journal 7(2): pp: 403-404. 12. Buhisi, N. I. and S. S. Abu Naser (2009). "Dynamic programming as a tool of decision supporting." Journal of Applied Sciences Research; www.aensiweb.com/JASR/ 5(6): 671-676. 13. Chen, R.-S., et al. (2008). "Evaluating structural equation models with unobservable variables and measurement error." Information Technology Journal. 14. El Agha, M. I., et al. (2018). "SQL Tutor for Novice Students." International Journal of Academic Information Systems Research (IJAISR) 2(2): 1-7. 15. El Haddad, I. A. and S. S. Abu Naser (2017). "ADO-Tutor: Intelligent Tutoring System for leaning ADO. NET." European Academic Research 6(10): 8810-8821. 16. Elnajjar, A. E. A. and S. S. Abu Naser (2017). "DES-Tutor: An Intelligent Tutoring System for Teaching DES Information Security Algorithm." International Journal of Advanced Research and Development 2(1): 69-73. 17. Elreesh, J. Y. A. and S. S. Abu-Naser (2019). "Cloud Network Security Based on Biometrics Cryptography Intelligent Tutoring System." International Journal of Academic Information Systems Research (IJAISR) 3(3): 37-70. 18. Ghali, M. J. A. and S. S. Abu-Naser (2019). "ITS for Data Manipulation Language (DML) Commands Using SQLite." International Journal of Engineering and Information Systems (IJEAIS) 3(3): 57-92. 19. Hamed, M. A. and S. S. Abu Naser (2017). "An intelligent tutoring system for teaching the 7 characteristics for living things." International Journal of Advanced Research and Development 2(1): 31-45. 20. Hamed, M. A., et al. (2018). "Intelligent Tutoring System Effectiveness for Water Knowledge and Awareness." International Journal of Academic Information Systems Research (IJAISR) 2(4): 18-34. 21. Abu Ghali, M. J., et al. (2018). "An Intelligent Tutoring System for Teaching English Grammar." 22. Abu Hasanein, H. A. and S. S. Abu Naser (2017). "An intelligent tutoring system for cloud computing." International Journal of Academic Research and Development 2(1): 76-80. 23. Abu Naser, S. (2008). "An Agent Based Intelligent Tutoring System For Parameter Passing In Java Programming." Journal of Theoretical & Applied Information Technology 4(7). 24. Abu Naser, S. S. (2001). "A comparative study between animated intelligent tutoring systems AITS and video-based intelligent tutoring systems VITS." Al-Aqsa Univ. J 5(1): 72-96. 25. Abu Naser, S. S. (2006). "Intelligent tutoring system for teaching database to sophomore students in Gaza and its effect on their performance." Information Technology Journal 5(5): 916-922. 26. Abu Naser, S. S. (2008). "Developing an intelligent tutoring system for students learning to program in C++." Information Technology Journal 7(7): 1055-1060. 27. Abu Naser, S. S. (2008). "Developing visualization tool for teaching AI searching algorithms." Information Technology Journal , Scialert 7(2): 350-355. 28. Abu Naser, S. S. (2012). "A Qualitative Study of LP-ITS: Linear Programming Intelligent Tutoring System." International Journal of Computer Science & Information Technology 4(1): 209. 29. Abu Naser, S. S. and S. H. ALmursheidi (2016). "A Knowledge Based System for Neck Pain Diagnosis." World Wide Journal of Multidisciplinary Research and Development (WWJMRD) 2(4): 12-18. 30. Abu Naser, S. S., et al. (2008). "A Proposed Expert System For Guiding Freshman Students In Selecting A Major In Al-Azhar University, Gaza." Journal of Theoretical & Applied Information Technology 4(9). 31. Abu Naser, S., et al. (2011). "Human Computer Interaction Design of the LP-ITS: Linear Programming Intelligent Tutoring Systems." International Journal of Artificial Intelligence & Applications (IJAIA) 2(3). 32. Abu-Nasser, Bassem. "Medical Expert Systems Survey." International Journal of Engineering and Information Systems (IJEAIS) 1, no. 7 (2017): 218-224. 33. Abu-Nasser, Bassem S., and Samy S. Abu-Naser. "Cognitive System for Helping Farmers in Diagnosing Watermelon Diseases." International Journal of Academic Information Systems Research (IJAISR) 2, no. 7 (2018): 1-7. 34. Abu-Nasser, Bassem S., and Samy S. Abu Naser. "Rule-Based System for Watermelon Diseases and Treatment." International Journal of Academic Information Systems Research (IJAISR) 2, no. 7 (2018): 1-7. 35. AbuEloun, N. N. and S. S. Abu Naser (2017). "Mathematics intelligent tutoring system." International Journal of Advanced Scientific Research 2(1): 11-16. 36. AbuEl-Reesh, J. Y. and S. S. Abu-Naser (2018). "An Intelligent Tutoring System for Learning Classical Cryptography Algorithms (CCAITS)." International Journal of Academic and Applied Research (IJAAR) 2(2): 1-11. 37. Abu-Naser, S. S. (2008). "JEE-Tutor: An Intelligent Tutoring System for Java Expression Evaluation." 38. Abu-Naser, S. S. (2016). "ITSB: An Intelligent Tutoring System Authoring Tool." Journal of Scientific and Engineering Research 3( 5): 63-71. 39. Abu-Naser, S., et al. (1995). "& Beattie, GA (2000)." Expert system methodologies and applications-a decade review from: 9-26. 40. Abu-Naser, S., et al. (2011). "An intelligent tutoring system for learning java objects." International Journal of Artificial Intelligence and Applications (IJAIA) 2(2). 41. Akkila, A. E.-D. N. and S. S. Abu Naser (2018). ITS-Tutor for Teaching Rules of Tajweed the Holy Quran, Al-Azhar University, Gaza, Palestine. 42. Akkila, A. N. and S. S. Abu Naser (2017). "Teaching the right letter pronunciation in reciting the holy Quran using intelligent tutoring system." International Journal of Advanced Research and Development 2(1): 64-68. 43. Akkila, A. N. and S. S. Abu-Naser (2018). "Rules of Tajweed the Holy Quran Intelligent Tutoring System." International Journal of Academic Pedagogical Research (IJAPR) 2(3): 7-20. 44. Akkila, A. N., et al. (2019). "Survey of Intelligent Tutoring Systems up to the end of 2017." International Journal of Academic Information Systems Research (IJAISR) 3(4): 36-49. 45. Al Rekhawi, H. A. and S. Abu Naser (2018). "An Intelligent Tutoring System for Learning Android Applications Ui Development." International Journal of Engineering and Information Systems (IJEAIS) 2(1): 1-14. 46. Al Rekhawi, H. A. and S. S. Abu-Naser (2018). "Android Applications UI Development Intelligent Tutoring System." International Journal of Engineering and Information Systems (IJEAIS) 2(1): 1-14. 47. Alawar, M. W. and S. S. Abu Naser (2017). "CSS-Tutor: An intelligent tutoring system for CSS and HTML." International Journal of Academic Research and Development 2(1): 94-98. 48. Al-Bastami, B. G. and S. S. Abu Naser (2017). "Design and Development of an Intelligent Tutoring System for C# Language." EUROPE AN ACADEMIC RESEARCH 6(10): 8795. 49. Albatish, I., et al. (2018). "ARDUINO Tutor: An Intelligent Tutoring System for Training on ARDUINO." International Journal of Engineering and Information Systems (IJEAIS) 2(1): 236-245. 50. Al-Bayed, M. H. and S. S. Abu Naser (2017). "An intelligent tutoring system for health problems related to addiction of video game playing." International Journal of Advanced Scientific Research 2(1): 4-10. 51. Al-Bayed, M. H. and S. S. Abu-Naser (2018). "Intelligent Multi-Language Plagiarism Detection System." International Journal of Academic Information Systems Research (IJAISR) 2(3): 19-34. 52. Aldahdooh, R. and S. S. Abu Naser (2017). "Development and Evaluation of the Oracle Intelligent Tutoring System (OITS)." European Academic Research 6(10): 8711-8721. 53. Alhabbash, M. I., et al. (2016). "An Intelligent Tutoring System for Teaching Grammar English Tenses." European Academic Research 6(9): 7743-7757. 54. Al-Hanjori, M. M., et al. (2017). "Learning computer networks using intelligent tutoring system." International Journal of Advanced Research and Development(2): 1. 55. Hasanein, H. A. A. and S. S. Abu-Naser (2018). "Developing Education in Israa University Using Intelligent Tutoring System." International Journal of Academic Pedagogical Research (IJAPR) 2(5): 1-16. 56. Hilles, M. M. and S. S. Abu Naser (2017). "Knowledge-based Intelligent Tutoring System for Teaching Mongo Database." EUROPEAN ACADEMIC RESEARCH 6(10): 8783-8794. 57. Hissi, H. E.-., et al. (2008). "Medical Informatics: Computer Applications in Health Care and Biomedicine." Journal of Artificial Intelligence 3(4). 58. Khella, R. A. and S. S. Abu-Naser (2018). "An Intelligent Tutoring System for Teaching French." International Journal of Academic Multidisciplinary Research (IJAMR) 2(2): 9-13. 59. Li, L., et al. (2011). "Hybrid Quantum-inspired genetic algorithm for extracting association rule in data mining." Information Technology Journal 12(4). 60. Mahdi, A. O., et al. (2016). "An intelligent tutoring system for teaching advanced topics in information security." World Wide Journal of Multidisciplinary Research and Development 2(12): 1-9. 61. Marouf, A. and S. S. Abu-Naser (2019). "Intelligent Tutoring System for Teaching Computer Science I in Al-Azhar University, Gaza." International Journal of Academic and Applied Research (IJAAR) 3(3). 62. Marouf, A., et al. (2018). "An Intelligent Tutoring System for Learning Introduction to Computer Science." International Journal of Academic Multidisciplinary Research (IJAMR) 2(2): 1-8. 63. Mosa, M. J., et al. (2018). "ASP. NET-Tutor: Intelligent Tutoring System for leaning ASP. NET." International Journal of Academic Pedagogical Research (IJAPR) 2(2): 1-8. 64. Naser, S. (2009). "Evaluating the effectiveness of the CPP-Tutor an intelligent tutoring system for students learning to program in C++." Journal of Applied Sciences Research 5(1): 109-114. 65. Nassr, M. S. and S. S. Abu-Naser (2019). "ITS for Enhancing Training Methodology for Students Majoring in Electricity." International Journal of Academic Pedagogical Research (IJAPR) 3(3): 16-30. 66. Ng, S., et al. (2010). "Ad hoc networks based on rough set distance learning method." Information Technology Journal 10(9): 239-251. 67. Owaied, H. H., et al. (2009). "Using rules to support case-based reasoning for harmonizing melodies." Journal of Applied Sciences 11(14): pp: 31-41. 68. Qwaider, S. R. and S. S. Abu-Naser (2018). "Excel Intelligent Tutoring System." International Journal of Academic Information Systems Research (IJAISR) 2(2): 8-18. 69. Shaath, M. Z., et al. (2017). "Photoshop (CS6) intelligent tutoring system." International Journal of Academic Research and Development 2(1): 81-87. 70. Sulisel, O., et al. (2005). "Growth and Maturity of Intelligent Tutoring Systems." Information Technology Journal 7(7): 9-37.