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APPLICATION OF ARTIFICIAL INTELLIGENCE (AI) TOOLS FOR LECTURERS AND RESEARCHERS

PROGRAM INTRODUCTION

This training course is designed specifically for lecturers and researchers at universities, aiming to equip them with the skills to use artificial intelligence (AI) tools to support teaching, research and academic content development. Students will learn how to apply AI in creating lectures, building research content, editing documents, analyzing data, automating research and teaching processes, and improving the efficiency of teaching and research work.

By the end of the course, students will:

Teaching Methodology

  • Integrated Theory and Practice: Each session combines theoretical foundations of A.I. with hands-on exercises, enabling participants to apply concepts directly to their professional contexts.
  • Use of Popular A.I. Tools: Participants will be introduced to and practice with widely used A.I. tools for teaching and research, such as Google Scholar, Grammarly, ChatGPT, data analysis software, and content generation platforms.
  • Online and Interactive Learning: The course will be delivered through live online sessions featuring interactive lectures, case-based exercises, and real-world applications.

TRAINING PROGRAM

Session 1: Overview of AI in Teaching and Research
  • Introduction to artificial intelligence (AI): Concepts, development trends and impacts of AI in education and scientific research.
  • History of development and outstanding AI products in education: From AI supporting teaching and research to AI tools in academic management.
  • Application of AI in teaching and research: How AI supports lecturers in building lectures, summarizing documents, and helping researchers in analyzing data and creating research content.
  • Operating principles of AI systems: Machine learning models and natural language processing (NLP) support in teaching and research.

Session 2: Using AI to Create Teaching and Research Content

Session 3: AI in Research Management and Learning Assessment

Session 4: Ethics, Intellectual Property Rights and Privacy in the Use of AI

Session 5: Practice and Summary

NEWS

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