APPLICATION OF ARTIFICIAL INTELLIGENCE (AI) TOOLS FOR EDUCATION MANAGERS
Program Introduction
This training course aims to equip university administrators with the knowledge and skills to use artificial intelligence (AI) tools to optimize management work, improve work efficiency, automate tasks, and improve work quality. Specifically, students will learn how to use AI in information management, data analysis, report writing, workflow improvement, curriculum design, and teaching quality improvement. The course also addresses ethical issues in the use of AI and legal issues related to intellectual property rights and privacy.
Expected Outcomes
- Proficiently use AI tools to automate reporting, document management, and learning data analysis to improve productivity and support decision making.
- Strategically apply AI to curriculum design, lesson planning, test creation, and support scientific research.
- Understand and apply ethical principles, legal regulations on intellectual property rights, and privacy when deploying AI in educational environments.
Training Methodology
• Seamless integration of theory and hands-on practice during each session.
• 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
• Introduction to Artificial Intelligence (AI): Concepts, Applications and Importance of AI in Education.
• History and Development of AI: Important Advances and AI Products That Have Changed the Education Industry.
• Popular AI Products in Education Management: Learning Management Systems (LMS), Teaching and Research Support Tools.
• How AI Systems Work: How AI Supports Information Analysis and Processing in Education.
• Applications of AI in Supporting Student Information Management: Data Analysis, Learning Outcomes Evaluation, Automatic Report Generation.
• Using AI in document and student information management: How AI helps organize and search for documents quickly.
• Applying AI in data analysis and decision making: Analyzing learning outcomes, evaluating teaching quality, optimizing learning programs.
• Creating automatic reports and time management: Using AI to write reports, synthesize information and send automatic notifications.
• Managing courses and training programs with AI: Designing courses, automatically creating exams, building teaching plans.
• AI supports lecturers in designing lectures: Creating lecture content, designing slides, using AI to work quickly and effectively.
• AI in automatically writing exam questions and managing assessment systems: Creating exam questions, automatically assessing learning outcomes.
• Using AI to support research: Summarizing research, supporting writing research reports and citing documents.
• Applying AI in creating textbooks and designing lecture slides: Automatically designing lesson plans on demand, supporting lecturers in building lecture slides.
• Ethics in AI: Ethical issues in AI applications in education and management.
• Intellectual property rights and privacy: Understanding legal regulations when using AI in content creation, teaching and research.
• How to use AI properly and ethically in educational environments: Providing guidelines and data privacy policies when using AI tools.
• Practical application of AI in management work: Practical exercises on applying AI in real management work at the university.
• Feedback and answering questions: Students share experiences, discuss and receive advice from lecturers.
• Course summary and evaluation: Evaluate students’ ability to apply AI after the course.
News
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