Đồ án tốt nghiệp - Developing an online programing learning system with AI assistant

HCMC UNIVERSITY OF TECHNOLOGY AND EDUCATION
FACULTY OF INTERNATIONAL EDUCATION
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GRADUATION THESIS
DEVELOPING AN ONLINE PROGRAMMING LEARNING
SYSTEM WITH AI ASSISTANT
INSTRUCTOR:

PROF. HOÀNG VĂN DŨNG

STUDENTS:

NGUYỄN PHƯƠNG ANH TÚ – 21110105
ĐINH THÀNH ĐỨC

– 21110765

PHẠM VŨ BẢO NHÂN

– 21110066

ACADEMIC YEAR:

2021 – 2025

MAJOR:

SOFTWARE ENGINEERING

Ho Chi Minh City, 2025

THE SOCIALIST REPUBLIC OF VIETNAM
Independence – Freedom– Happiness
***-Ho Chi Minh City, ____ __, 2025

GRADUATION PROJECT ASSIGNMENT
Student Name 1: Nguyễn Phương Anh Tú

Student ID 1: 21110105

Student Name 2: Đinh Thành Đức

Student ID 2: 21110765

Student Name 3: Phạm Vũ Bảo Nhân

Student ID 3: 21110066

Major: Software Engineering

Class: 21110FIE1,4

Instructor: Prof. Hoàng Văn Dũng

Phone Number:

Date of Assignment:

Date of Submission:

1. Project Title: Developing an Online Programming Learning System with AI Assistant
2. Initial Materials Provided by Instructor:
3. Content of the Project:
4. Final Product:

CHAIR OF THE PROGRAM
(Sign with full name)

INSTRUCTOR
(Sign with full name)

1

THE SOCIALIST REPUBLIC OF VIETNAM
Independence – Freedom– Happiness
***

INSTRUCTORS REPORT FORM
Student Name 1: Nguyễn Phương Anh Tú

Student ID 1: 21110105

Student Name 2: Đinh Thành Đức

Student ID 2: 21110765

Student Name 3: Phạm Vũ Bảo Nhân

Student ID 3: 21110066

Major: Software Engineering
Project title: Developing an Online Programming Learning System with AI Assistant
Instructor’s name: Prof. Hoàng Văn Dũng
REPORT
Project’s content &amp progress: ........................................................................................................
......................................................................................................................................................
......................................................................................................................................................
Strengths: ......................................................................................................................................
......................................................................................................................................................
Weaknesses: ..................................................................................................................................
.....................................................
...

...
s.
− Improvements required to better track student performance and learning patterns.
Real-World Usage
− As a newly deployed platform, the system requires substantial real-world usage data.
− Data is needed to fine-tune features and optimize the overall learning experience.
Content Creation Pipeline:
− The current content creation pipeline needs streamlining.
− Faster course development and s are required to keep the system up to date.
These limitations, while not insurmountable, highlight the system’s evolutionary nature.
They underscore the need for continuous improvement based on user feedback and practical

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Chapter 8. Conclusion
implementation experience. Future development phases will focus on addressing these challenges
to build a more robust and comprehensive learning environment.
8.3. Development Process
The systems development trajectory encompasses ambitious plans for expansion and
technological advancement. A key priority is the implementation of sentiment analysis capabilities
to process and analyze user feedback and course reviews systematically. This enhancement will
leverage natural language processing techniques to extract valuable insights from student
responses, enabling data-driven course improvements and personalized learning experiences. The
analytics framework will be expanded to include predictive modeling for student performance and
engagement patterns.
Platform expansion represents another significant development direction, with plans to
extend beyond the current web-based interface. The development of native mobile applications for
iOS and Android platforms will enhance accessibility and enable features like offline learning and
push notifications. Additionally, a dedicated desktop application is planned to provide a more
robust development environment for programming exercises, potentially incorporating advanced
features such as integrated debugging tools and real-time collaboration capabilities.
8.4. Future Plans
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Limit LLM Tokens based on Payment Plans

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Monitor-driven Real-time Feedback

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REFERENCES
[1] A.-T. P. Nguyen and V.-D. Hoang, Development of Code Evaluation System based on
Abstract Syntax Tree, Journal of Technical Education Science, pp. 15-24, 2024.
[2] C. Stryker and J. Holdsworth, What is NLP (Natural Language Processing)?, IBM, 11
August 2024. [Online]. Available: https://www.ibm.com/think/topics/natural-languageprocessing.