Primary and secondary school teachers
AI/STEM on-campus teacher training
Vinci AI is committed to providing cutting-edge artificial intelligence (AI) and STEM education training to primary and secondary school teachers, helping teachers master AI tools and improve teaching quality and efficiency. We provide a series of on-campus training courses covering topics such as introduction to AI, prompt engineering skills, and interdisciplinary AI teaching applications.
Introduction to AI: Understanding and Application The course helps teachers understand the basic concepts, development trends and application scope of AI, as well as the opportunities and challenges that AI brings to education.
Prompt Tips: Communicate Effectively with AI The course guides teachers to master prompt engineering skills, learn how to design effective prompts, and guide AI to generate results that are more in line with expectations and more valuable.
Interdisciplinary teaching application: stimulate creativity, promote thinking, and improve expression Other courses focus on the practical application of AI tools in different disciplines, such as using ChatGPT for interactive teaching, using Excel and VBA for data-driven teaching, and using MagicSchool AI for personalized learning and automated assessment.
Our training courses are composed of experienced AI university lecturers and doctoral-level research experts, and are combined with actual cases and practical exercises to help teachers integrate AI technology into teaching practice. We have provided training to dozens of primary and secondary schools and institutions, and have been highly recognized by our customers. Welcome to contact our expert consultants to arrange suitable training topics and formats for you.
Vinci AI teacher training topics:
- Introduction to AI: Understanding and Application
- Prompt Tips: Communicate Effectively with AI
- Interdisciplinary teaching application: stimulate creativity, promote thinking, and improve expression
- Data-driven teaching: establish learning files, analyze learning data, and improve teaching effectiveness
- AI-empowered teaching: personalized learning, automated assessment, and improved teaching efficiency
- Visual presentation production: improving the attractiveness and professionalism of classroom teaching and academic reports
- Efficient information search and topic research: cultivating students’ information literacy and research capabilities
- AI image generation and creative applications: stimulating students’ imagination and creativity
One-hour free teacher workshop
We regularly hold "one-hour free teacher workshops" and invite experts in the industry, including IT experts and university lecturers, to explain topics that are helpful to teachers in their teaching work. These workshops cover the following aspects:
- Application of AI in teachers’ work: Discuss how to use artificial intelligence technology to improve teaching efficiency and effectiveness, including personalized teaching, student interaction, and learning data analysis.
- AI’s impact on students’ career development: Analyze the importance of AI in future careers and provide relevant guidance to help teachers guide students to make career plans.
- Introduction to practical tools: Introduce and demonstrate various practical AI and IT tools that can help teachers improve efficiency in daily teaching and administrative work, such as AI writing tools, mathematical problem-solving platforms, generative AI creation tools, etc.
By participating in these workshops, teachers will be able to master the latest AI application knowledge and provide better support for students' future development. We look forward to the participation of every teacher and jointly explore the infinite possibilities of AI in education.
Welcome to contact us for more workshop information and registration details.
[Free Seminar] Let Excel become a teacher’s right-hand assistant – manage school resources easily and improve work efficiency!
One-hour free teacher workshop - Application of Excel in school management
As teachers, we know the challenges we face in resource management and data analysis. Cumbersome Excel records, cross-form statistics, report making, etc. often make us exhausted. What if there was a way to easily handle these tasks, allowing you to focus on teaching and your students?
We sincerely invite you to participate in the [Excel Application in School Management] free online workshop, which is one of the "1-hour free teacher workshop" series launched by Vinci AI. We continue to provide free workshops for the education sector to introduce technology trends, practical tools and AI applications.
In this one-hour workshop you will learn:
- Integrate scattered Excel records to easily track resource inventory
- Use Excel's built-in functions to quickly create statistical reports
- Use data visualization skills to improve communication efficiency with charts
- Create resource management dashboards to instantly grasp the latest developments
This workshop is completely free. The speaker, Danny Chan, is a lecturer at the University of Hong Kong. He has extensive experience in financial risk management, information technology and data science. He is currently a consultant and trainer at a big data consulting service company.
Activity format: Zoom webinar
Date and time: June 24, 4pm – 5pm
Consultation hotline: WhatsApp 97382471
Vinci AI Teacher Training Course
Introduction to AI: Understanding and Application
This course is designed to help teachers understand the basic concepts, development trends and application areas of artificial intelligence (AI), as well as the opportunities and challenges that AI brings to education. Teachers will learn:
- The definition and development history of AI: Understand the definition, development history of AI, and different types of AI technologies, such as machine learning, deep learning, natural language processing, etc.
- Applications of AI in education: Explore how AI can be used in teaching, learning, assessment, management, etc., such as personalized learning, automated assessment, intelligent tutoring systems, learning data analysis, etc.
- AI ethics and social implications: Understand the ethical and social impacts brought about by the development of AI, such as algorithm bias, data privacy, social responsibility of artificial intelligence, etc., and explore how to guide students to correctly understand and apply AI in education.
Through this course, teachers will have a deeper understanding of AI and be able to better cope with the opportunities and challenges brought about by the development of AI, integrate AI technology into teaching practice, and improve teaching quality.
Prompt Tips: Communicate Effectively with AI
This course aims to guide teachers to master the skills of Prompt Engineering, learn how to design effective prompts, and guide AI to generate more expected and valuable results. Teachers will learn:
- Importance of Prompt: Understand the definition, role and importance of Prompt as a bridge between humans and AI.
- Prompt design tips: Learn how to design clear instructions, set role plays and scenarios, set constraints and output formats, and how to improve the quality of prompts through iterative optimization and feedback corrections.
- Interdisciplinary Prompt Design: Combining the teaching content and learning goals of different disciplines, design targeted prompts, such as letting AI generate writing examples of different styles, designing different experimental plans, creating different styles of musical works, etc.
Through this course, teachers will master the skills of communicating with AI, design more effective prompts, better use AI tools to assist teaching, and improve teaching efficiency and student learning outcomes.
Interdisciplinary teaching application: stimulate creativity, promote thinking, and improve expression
This course aims to guide teachers to use ChatGPT's powerful language model in teaching various subjects, stimulate students' interest in learning, and improve students' thinking and expression abilities. Teachers will learn how to leverage ChatGPT:
- Design interactive teaching activities: According to the teaching objectives of different subjects, design teaching activities for students to interact with ChatGPT, such as simulating conversations with historical figures, conducting scientific experimental hypotheses, etc., to enhance students' learning participation and critical thinking skills.
- Generate diversified assessment content: Use ChatGPT to generate assessment content of different types and difficulty, such as multiple-choice questions, short-answer questions, application questions, etc., and make personalized adjustments based on students' learning conditions to improve the efficiency and effectiveness of assessment.
- Provide students with personalized feedback: Guide students to use ChatGPT for writing exercises, oral expression exercises, etc., and provide students with personalized guidance and suggestions based on feedback from ChatGPT to improve students' learning effectiveness.
Through this course, teachers will learn how to integrate ChatGPT into the teaching of different subjects to create a more vivid, interactive and personalized learning experience, and improve students' learning interest and learning effectiveness.
Data-driven teaching: establish learning files, analyze learning data, and improve teaching effectiveness
This course aims to guide teachers to use the data processing and analysis functions of Excel and VBA to establish students' learning files, analyze learning data, and adjust teaching strategies based on data analysis results to improve teaching effectiveness. Teachers will learn how to:
- Create student personal learning files: Use Excel to record students' learning history, learning performance, learning preferences and other data, and establish personalized learning files to help teachers fully understand students' learning status.
- Perform multi-dimensional data analysis: Use Excel's data analysis tools, such as charts, pivot analysis tables, etc., to conduct multi-dimensional analysis of students' learning data, such as learning progress analysis, learning difficulty analysis, learning interest analysis, etc., to find out students' learning characteristics and learning needs.
- Automatically generate teaching reports: Combined with VBA programming, teaching reports, such as student learning progress reports, learning effectiveness analysis reports, etc., are automatically generated to reduce teachers' workload and provide data support for teaching decisions.
Through this course, teachers will learn how to use data analysis tools to more effectively track students' learning status, adjust teaching strategies, and improve the pertinence and effectiveness of teaching.
AI-empowered teaching: personalized learning, automated assessment, and improved teaching efficiency
This course aims to guide teachers to use the MagicSchool AI platform to provide personalized learning resources and learning paths based on students' learning conditions, and conduct automated learning assessments to reduce teachers' workload and improve teaching efficiency. Teachers will learn how to:
- Recommended personalized learning resources: Based on students' learning level, learning style and learning goals, the MagicSchool AI platform is used to recommend suitable learning resources, such as videos, animations, games, exercises, etc., to improve students' learning interest and learning efficiency.
- Develop a personalized learning path: Based on students' learning data and learning goals, the MagicSchool AI platform is used to develop personalized learning paths for students, allowing students to learn at their own pace and way, improving learning autonomy and efficiency.
- Carry out automated job correction and analysis: Use the automated assessment function of the MagicSchool AI platform to correct students' homework and analyze students' learning status, such as error rate analysis, knowledge point mastery analysis, etc., to help teachers quickly understand students' learning status and adjust teaching strategies.
Through this course, teachers will learn how to use AI-driven education platforms to provide students with a more personalized learning experience and improve teaching efficiency and objectivity of assessment.
Visual presentation production: improving the attractiveness and professionalism of classroom teaching and academic reports
This course is designed to guide teachers and students to use Gamma AI to create beautiful and professional presentations and improve the quality of classroom teaching and academic reports. Teachers will learn how to:
- Generate professional briefings with one click: Use Gamma AI to quickly create presentations with clear structures and rich graphics and text, and choose appropriate templates and styles based on different teaching content and academic report topics.
- Add multimedia elements: Use Gamma AI to add multimedia elements such as pictures, videos, audio files, charts, etc. to enrich the content of presentations and enhance students' learning interest and the persuasiveness of academic reports.
- Guide students in creating a presentation: Instruct students to use Gamma AI to create individual or group presentations, and provide feedback and suggestions based on the content of students' presentations to improve students' information integration and expression abilities.
Through this course, teachers and students will learn how to use AI presentation tools to create more attractive and professional presentations, improving the effectiveness of classroom teaching and academic reports.
Efficient information search and topic research: cultivating students’ information literacy and research capabilities
This course aims to guide teachers and students to use Perplexity AI to conduct efficient data search and in-depth topic research, and improve students' information literacy and research capabilities. Teachers will learn how to:
- For efficient information acquisition: Use Perplexity AI's powerful search capabilities to quickly find reliable academic journal articles, news reports, books, data sets, etc., providing rich materials for students' research.
- Conduct in-depth topic research: Guide students to use Perplexity AI's tracing information source function to explore the origin, development process, and views of different scholars on a specific topic, etc., to cultivate students' critical thinking and research abilities.
- Learn across disciplines: Combining learning topics from different disciplines, use Perplexity AI to conduct cross-disciplinary information searches to broaden students' knowledge and enhance students' interest in learning.
Through this course, teachers and students will learn how to use AI search tools to obtain information more effectively, conduct in-depth research, and improve academic writing and research capabilities.
AI image generation and creative applications: stimulating students’ imagination and creativity
This course aims to guide teachers and students to use OpenArt to create AI images and apply it to the study of different subjects to stimulate students' imagination and creativity. Teachers will learn how to:
- Design image material: According to the teaching content of different subjects, OpenArt is used to generate corresponding image materials, such as historical event illustrations, biological structure diagrams, geographical landscape photos, etc., to enhance the interest and intuitiveness of learning materials.
- Create learning resources with pictures and texts: Guide students to use OpenArt to create images and combine them with text descriptions to create learning resources with pictures and texts, such as e-books, study sheets, posters, etc., to enhance students' learning interest and learning effects.
- Design creative projects: Students are encouraged to use OpenArt to design creative projects, such as designing illustrations for science fiction stories, creating music album covers, making product design prototypes, etc., to enhance students' creative thinking and practical abilities.
Through this course, teachers and students will learn how to use AI image generation tools to create creative images and apply them to the study of different subjects to enhance students' learning interest and learning effectiveness.
Main Tutor Qualifications
Anthony Chan
Anthony Chan is an expert in artificial intelligence research with a Ph.D. in Mathematics, specializing in the application of AI in the healthcare field. This expert has published numerous papers in the fields of mathematics and artificial intelligence, with research findings featured in top international academic journals. Dr. Chan has been invited to prestigious international institutions to exchange ideas and present research findings. Additionally, he has extensive teaching experience, having served as a mentor for the Mathematics Talent Nurturing Program at the Chinese University of Hong Kong, nurturing the next generation of mathematicians.
Benny Lam
Benny Lam is a seasoned professional with over 30 years of experience in the IT and AI software development field. He has served as a project manager for multiple large-scale IT vendors and government departments, as well as a team leader and chief consultant. He possesses in-depth expertise in artificial intelligence, digital transformation, blockchain, logistics and supply chain management, cloud development, and financial technology. Additionally, he holds a Master's degree in Parallel Computing from the University of Warwick and has studied Mathematics at the Hong Kong Baptist University. His comprehensive technical skills and profound knowledge of AI make him a leader in the field.
Danny Chan
Danny is a lecturer at the University of Hong Kong with extensive experience in financial risk management, information technology, and data science. He has also served as an IT manager for over ten years. As an IT practitioner, he currently works as a consultant and trainer at a big data consulting service company. Additionally, he specializes in cloud solutions, big data technologies, data mining, and machine learning. Mr. Chan holds a Bachelor's degree in Mathematics from the Chinese University of Hong Kong, as well as a Master's degree in Risk Management Science from the Chinese University of Hong Kong, a Master's degree in Business Quantitative Analysis from the City University of Hong Kong, and a Master's degree in Industrial Logistics Systems from the Hong Kong Polytechnic University.