Tiếng Việt
I. PROGRAM INTRODUCTION
In the digital era, mastering Artificial Intelligence (AI) tools not only optimizes research time but also significantly enhances the quality and accuracy of scientific works. The training course “Application of Artificial Intelligence (AI) Tools in Learning and Scientific Research” is designed to equip students, PhD candidates, lecturers, and researchers with exact thinking methods and practical techniques, ensuring compliance with scientific integrity principles when applying AI technology across the entire research process.
II. COURSE OBJECTIVES
Upon completing the program, participants will be able to:
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Proficiently leverage AI tools for searching, conducting literature reviews, and visualizing interconnections among research works.
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Practice basic to advanced Generative Writing skills, verify information, and optimize the formatting and presentation of research papers/projects.
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Understand the principles of citation verification, identify AI plagiarism risks, and ensure integrity in scientific research.
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Apply technology to automate data collection, translation, and in-depth qualitative data processing.
III. TRAINING PROGRAM CONTENT
The course consists of 04 core modules:
Module 1: Literature Search using AI
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Defining learning and scientific research topics.
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Applying AI tools to evaluate data source credibility.
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Techniques for downloading research documents from open and closed resources.
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Searching for related literature, identifying research gaps, and bulk data processing.
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Visualizing citation networks and relationships between scientific documents.
Module 2: Content Proposal Writing & Information Verification Skills
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Applying generative tools in drafting and Deep Research.
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Methods for proposing writing content from reputable sources, systematic filtering, and citation.
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Flexibly converting writing styles, formats, and diverse presentation methods.
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Techniques for reviewing, evaluating accuracy, and checking the reliability of AI-generated information.
Module 3: Advanced Writing, Automation, and Scientific Integrity
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Introduction to advanced writing support tools and research workflow automation.
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Methods for validating citation accuracy.
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Evaluating and utilizing AI outputs using proper methodologies.
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Identifying AI plagiarism/plagiarism risks and recommendations to ensure research ethics standards.
Module 4: Qualitative Data Collection and Processing
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Applying technology to traditional qualitative primary data collection.
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Automating secondary data collection using AI.
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Automated and precise translation of specialized documents using AI.
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Qualitative data processing using basic algorithms and next-generation generative tools.
IV. TARGET AUDIENCE
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Undergraduate, master’s, and doctoral students currently working on topics, theses, or dissertations.
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Lecturers and researchers looking to improve international publishing efficiency and grant proposal writing.
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Analysts and R&D personnel at enterprises and organizations.
V. TRAINING METHODOLOGY
The program is delivered interactively with a hands-on, central focus. Participants will practice directly on their personal laptops using modern AI tools under the detailed guidance of research experts.
See more information about the Training Curriculum here.
Register for consultation here.
IMPLEMENTING UNIT
IBR – UEH | Strategic Think Tank & Executive Education Partner
Creating management solutions from research and consulting to practical executive training for leaders and enterprises.
Fanpage: Short-term Training – Institute of Business Research, University of Economics Ho Chi Minh City
Email: shortcourse@ueh.edu.vn
Hotline: 088 603 48 96
