Arab World English Journal (AWEJ) Volume 14. Number 4 December 2023                 Pp. 189-196
DOI: https://dx.doi.org/10.24093/awej/vol14no4.11

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Integrating an Intelligent Language Tutoring System in Teaching English Grammar

 Manar Dahbi
Sidi Mohamed Ben Abdellah University, Morocco
The National School of Applied Sciences
CREDIF laboratory, LIASSE laboratory
manar.dahbi@usmba.ac.ma

 

Received:05/29/2023         Accepted:11/16/2023                 Published: 12/15/2023

 

Abstract:
This paper describes a research project using an intelligent language tutoring system model in teaching grammar in English. The study aims to investigate the perceptions of a group of students regarding the effectiveness of this system and its service quality. This investigation is significant since it gives further insights into how Intelligent Language Tutoring Systems can help students learn grammar in a personalized manner based on their levels. Research has revealed that classroom teaching may fall short in providing customized instruction and feedback. Therefore, intelligent language tutoring systems can support adaptivity to individual learner needs. In order to assess the effectiveness of this system, the participants answered a survey questionnaire at the end of this study. The research project involves a class of adult mixed-ability students in a continuing education program at the National School of Applied Sciences in Fes, Morocco. The results demonstrate that these students have a positive attitude toward the merits of such technological tools. These advantages are mainly related to enhancing learner achievement and motivation.  Based on these findings, some implications for both teaching and learning grammar can be drawn.
Keywords: individualized instruction, intelligent language tutoring systems, student achievement,
student perceptions, teaching grammar

Cite as:  Dahbi, M. (2023). Integrating an Intelligent Language Tutoring System in Teaching English Grammar.
Arab World English Journal, 14 (4) 189-196.
DOI: https://dx.doi.org/10.24093/awej/vol14no4.11

References

Amaral, L., Meurers, D., & Ziai, R. (2011). Analyzing Learner Language: Towards a Flexible Natural Language Processing Architecture for Intelligent Language Tutors. Computer- Assisted Language Learning, 24(1), 1-16.

Bloom, B. S. (1984).  The 2 Sigma Problem: The Search for Methods of Group Instruction as Effective as One-to-one Tutoring. Educational Researcher, 13 (6), 4-16

Butz, C. J., Hua, S., & Maguire, R. B. (2006). A Web-based Bayesian Intelligent Tutoring System for Computer Programming. IOS Press

Calkins, A., &Vogt, K. (2013). Next generation learning: The pathway to possibility [White paper]. EDUCAUSE: Next Generation Learning Challenges. Retrieved from: http://net.educause.edu/ir/library/pdf/NGW1301.pdf

Carbonell, J. (1970). AI in CAI: An artificial-intelligence approach to computer assisted instruction. The Institute of Electrical and Electronics Engineers, Inc, 11(4), 190- 202

Cataldi, Z., & Lage, F. J. (2009). Intelligent Tutoring Systems oriented to teaching for comprehension. EDUTECH Electronic Journal of Educational Technology

Cooper, H., & Steenbergen-Hu, S. (2014). A meta-analysis of the effectiveness of Intelligent Tutoring Systems (ITS) on college students’ academic learning. Journal of Educational Psychology, 106, 331–347. doi:10.1037/a0034752

Delone, W. H., & McLean, E. R. (2003). The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems, 19(4), 9-30.

Gorla, N., Somers, T. M., & Wong, B. (2010). Organizational Impact of System Quality, Information Quality, and Service Quality. The Journal of Strategic Information Systems, 19(3), 207-228.

Kulik, J. A., & Fletcher, J.D. (2016). Effectiveness of intelligent tutoring systems: A meta-analytic review. Review of Educational Research, 86 (1), 42–78.

McLaren, B. M., Deleeuw, K. E., & Mayer, R. E. (2010). Polite web-based intelligent tutors: Can they improve learning in classrooms? Computers & Education, 56 (3), 574-584

Millan, D. E. (2000). Bayesian System for Student Modeling, (Unpublished Doctoral Dissertation). University of Malaga, Spain

Nagao, K. (2019). Artificial Intelligence Accelerates Human Learning. Springer

Polson, M. C., & Richardson, J. (2013). Foundations of Intelligent Tutoring Systems. USA: Psychology Press.

Rashid, T., & Asghar, H. M. (2016). Technology Use, Self-Directed Learning, Student Engagement, and Academic Performance: Examining the Interrelations. Computers in Human Behavior, 63,604-612.

Sleeman, D., & Brown, J. S. (1982). Intelligent Tutoring Systems. New York, NY, USA: Academic.

Shute, V.J. & Zapata-Rivera, D. (2010). Intelligent SystemsInternational Encyclopedia of Education (3rd, pp. 75-80). Elsevier.

Taylor, J., & Beck, J.E. (2013). Computer-Guided Oral Reading versus Independent Practice: Comparison of Sustained Silent Reading to an Automated Reading Tutor That Listens. Jl. of Educational Computing Research, 49(2), 249–276

Van Lehn, K. (2006). The Behavior of Tutoring Systems. International Journal of Artificial Intelligence in Education, 16, 227-265

Wenger, E. (1987). Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge. San Francisco, CA, USA: Morgan Kaufmann.

 

 

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Received: 05/29/2023  
Accepted: 11/16/2023 
Published: 12/15/2023 
https://orcid.org/0000-0001-5627-4594
https://dx.doi.org/10.24093/awej/vol14no4.11  

Dr. Dahbi Manar is an assistant professor of ESP at the National School of Applied sciences of Fez. She holds a PhD in applied linguistics. She is the author of a book, a chapter in an international book, and research articles. She has participated in conferences, workshops and study days as a presenter and member of the organizing and scientific committee.  She has also got certificates upon the accomplishment of online professional development training courses. Her main research interests are mainly: action research, curriculum design, and professional development.  ORCID: https://orcid.org/0000-0001-5627-4594