The Effectiveness of Intelligent Tutoring Systems in Supporting Students with Varying Levels of Programming Experience

Author:

Kouam Arthur William Fodouop1

Affiliation:

1. Sanya University

Abstract

Abstract

This study investigates the effectiveness of Intelligent Tutoring Systems (ITS) in supporting students with varying levels of programming experience. Through a mixed-methods research design, the study explores the impact of ITS on student performance, adaptability to different skill levels, and best practices for utilizing ITS in heterogeneous programming classrooms. The quantitative analysis reveals significant differences in the influence of ITS on improving programming skills, the usefulness of ITS feedback, and satisfaction levels with the interface based on students' programming experience levels. Advanced students show the most significant improvement in programming skills and find the feedback more valuable, while intermediate and advanced students report higher satisfaction with the ITS interface. The qualitative analysis highlights positive impacts on the learning process, challenges faced, and suggestions for improvement. This study contributes to the literature by emphasizing the importance of tailoring ITS interventions to meet the unique needs of students with varying levels of programming experience, offering insights for educators, curriculum developers, and educational technology designers.

Publisher

Springer Science and Business Media LLC

Reference39 articles.

1. Al-Jumeily, D., Hussain, A.J., Alghamdi, M.I., Lamb, D.J., & Hamdan, H. (2014). The development of an intelligent tutorial system for system development. 2014 International Conference on Web and Open Access to Learning (ICWOAL), 1–6.

2. Intelligent Tutoring Systems;Bradác V;Journal of Intelligent Systems,2016

3. Butz, C.J., Hua, S., & Maguire, R.B. (2004). A Web-Based Intelligent Tutoring System for Computer Programming. IEEE/WIC/ACM International Conference on Web Intelligence (WI'04), 159–165.

4. Student Modeling: Supporting Personalized Instruction, from Problem Solving to Exploratory Open Ended Activities;Conati C;AI Mag.,2013

5. Creswell, J. W. (2014). Research design: qualitative, quantitative, and mixed methods approaches. 4th edn. United States of America: SAGE Publications, Inc.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3