Development of an Intelligent Tutoring System for English Reading Comprehension: Design Based on Philippine Public School Flexible Learning Experience
Автор: Day Bert R. Mariñas, Roberto R. Coloma, Lin V. Tadeja, Shaira Marie J. Castillo, Katherine D. Tan, Frederick F. Patacsil
Журнал: International Journal of Information Engineering and Electronic Business @ijieeb
Статья в выпуске: 5 vol.13, 2021 года.
Бесплатный доступ
This paper presents an intelligent tutoring system as seen to be successful in assisting in the instruction of basic skill, particularly, reading comprehension. The goal of the study is to develop an Intelligent Tutoring System that will greatly help the Grade 7. The system adapted considerable instructional needs of learners from early development to advanced reading comprehension skills. The developed system provided an immediate feedback to learners upon completion of an activity without requiring intervention from a Teacher. To improve the system, learners and teachers filled out survey questionnaires. The result reveals that teachers and students want the system to be user-friendly, have a user log-in, lesson content with text, audio and video as well as various types of questions in quizzes. They also perceived that the developed ITS is useful and the content is valid thus is very acceptable to be utilized by the learners. In addition, result reveals that student’s reading comprehension could be improved and developed by the proposed ITS.
Reading Comprehension, Intelligent Tutoring System, Flexible Learning, ADDIE approach
Короткий адрес: https://sciup.org/15017795
IDR: 15017795 | DOI: 10.5815/ijieeb.2021.05.02
Список литературы Development of an Intelligent Tutoring System for English Reading Comprehension: Design Based on Philippine Public School Flexible Learning Experience
- Elleman AM, Oslund EL. Reading comprehension research: Implications for practice and policy. Policy Insights from the Behavioral and Brain Sciences. 2019 Mar;6(1):3-11.
- Williamson SN. Development of a self-rating scale of self-directed learning. Nurse researcher. 2007 Jan 1;14(2).
- Chakraborty M, Nafukho FM. Strategies for virtual learning environments: Focusing on teaching presence and teaching immediacy. Internet Learning. 2015;4(1):2.
- Panconesi G, Guida M, editors. Handbook of Research on Teaching With Virtual Environments and AI. IGI Global; 2021 Feb 19.
- Spice B. New AI Enables Teachers To Rapidly Develop Intelligent Tutoring Systems [Internet]. 2020. Available from: https://www.cs.cmu.edu/news/new-ai-enables-teachers-rapidly-develop-intelligent-tutoring-systems
- Xu Z, Wijekumar K, Ramirez G, Hu X, Irey R. The effectiveness of intelligent tutoring systems on K‐12 students' reading comprehension: A meta‐analysis. British Journal of Educational Technology. 2019 Nov;50(6):3119-37.
- Sedlmeier P. Intelligent Tutoring Systems. International Encyclopedia of the Social & Behavioral Sciences. 2001;
- A. S. PISA 2018 Insights and Interpretations. 2018.
- Manlapig M. What’s to blame for the low reading comprehension of the Filipino youth? [Internet]. 2020. Available from: https://www.cnn.ph/life/culture/2020/4/21/reading-comprehension-problem.html
- Miñoza MV, Montero MA. Reading Comprehension Level among Intermediate Learners. Online Submission. 2019;31(3):561-8.
- Robot R. How Intelligent Tutoring Systems are Changing Education [Internet]. 2020. Available from: https://medium.com/@roybirobot/how-intelligent-tutoring-systems-are-changing-education-d60327e54dfb
- Yüce A, Abubakar AM, İlkan M. Intelligent tutoring systems and learning performance: applying task-technology fit and IS success model.
- Veeravagu JV, Muthusamy C, Marimuthu R, Michael AS. Using Bloom’s taxonomy to gauge students’ reading comprehension performance. Canadian Social Science. 2010 Jun 25;6(3):205-12.
- Ben-Aharon A. What Is the Importance of Reading Comprehension After School? [Internet]. 2021. Available from: https://greatspeech.com/what-is-the-importance-of-reading-comprehension-after-school/
- Elleman AM, Oslund EL. Reading Comprehension Research: Implications for Practice and Policy. Policy Insights from the Behavioral and Brain Sciences. 2019;6(1):3-11. doi:10.1177/2372732218816339
- Xu Z, Wijekumar K, Ramirez G, Hu X, Irey R. The effectiveness of intelligent tutoring systems on K‐12 students' reading comprehension: A meta‐analysis. British Journal of Educational Technology. 2019 Nov;50(6):3119-37.
- Handan AT. Intelligent Tutoring Systems (ITS) to Improve Reading Comprehension: A Systematic Review. Journal of Teacher Education and Lifelong Learning.;2(2):77-89.
- Wijekumar KK, Meyer BJ, Lei P. Web-based text structure strategy instruction improves seventh graders’ content area reading comprehension. Journal of Educational Psychology. 2017 Aug;109(6):741.
- Alhabbash MI, Mahdi AO, Naser SS. An Intelligent Tutoring System for Teaching Grammar English Tenses.
- Eryılmaz M, Adabashi A. Development of an Intelligent Tutoring System Using Bayesian Networks and Fuzzy Logic for a Higher Student Academic Performance. Applied Sciences. 2020 Jan;10(19):6638.
- Kearsley GP, editor. Artificial intelligence and instruction: Applications and methods. Addison-Wesley Longman Publishing Co., Inc.; 1987 Jan 1.
- Sierra E, García-Martínez R, Cataldi Z, Britos P, Hossian A. Towards a methodology for the design of intelligent tutoring systems. Research in Computing Science Journal. 2006;20:181-9.
- Diezmann C, Watters J. A theoretical framework for multimedia resources: A case from science education. InAARE 2002 Conference Papers 2002 (pp. 2-18). Australian Association for Research in Education.
- Aldoobie N. Technology integration and learning theory. American International Journal of Contemporary Research. 2015;5(6):114-8.
- Siemer J, Angelides MC. A comprehensive method for the evaluation of complete intelligent tutoring systems. Decision support systems. 1998 Jan 1;22(1):85-102.
- He, Huihua, Jin Liu, and Hongmin Ren. "Using Computer Aided Assessment System to Assess College Students Writing Skill." International Journal of Modern Education and Computer Science 3.2 (2011): 8.
- Kajitori, Kazuaki, Kunimasa Aoki, and Sohei Ito. "Developing a Compact and Practical Online Quiz System." International Journal of Modern Education & Computer Science 6.9 (2014).
- Guo, Jing, and Jianping Zheng. "Computer Aided Instruction for Literature Courses Teaching." International Journal of Education and Management Engineering 1.6 (2011): 51.
