Generative AI @ CUHK
Artificial Intelligence (AI) is sweeping the globe, and generative AI, in particular, has been hotly discussed, notably in the education field.
To seize the opportunities to innovate and improve teaching, learning and assessment through AI, the Centre for Learning Enhancement And Research (CLEAR) has consolidated the related materials and resources to provide teachers, practitioners and students with the necessary guidance and support.
CLEAR is also collaborating with different departments and units to arrange a seminar and workshop series leading the CUHK community to embrace and acquaint themselves with AI development and applications.
Funded by Teaching Development and Language Enhancement Grant (TDLEG) for the 2022-25 Triennium for Inter-institutional Collaborative Activities (IICAs) and led by The Chinese University of Hong Kong (CUHK), the project entitled "Building a Collaborative Community for Enhancing AI Applications in Higher Education" is one of the first initiatives among Hong Kong higher education to address the importance of connecting educators with AI through a collaborative platform that aims at fostering AI literacy and disseminating good AI practices in higher education through a series of workshops and seminars.
(CUHK Staff login required)
Generative AI: Q&A
Do you want to know how generative AI can benefit teaching and learning? Let hear how the latest GPT-4 from OpenAI answer this questions.
Please be aware that GPT-4 may make incorrect statements.
What is generative AI?
Generative AI is a type of artificial intelligence that focuses on creating new content, such as text, images, or audio, based on the patterns and structures learned from existing data. By training on large datasets, generative models like GPT-4 can generate human-like responses, adapt to various tasks, and provide valuable insights in various domains, including education.
How can generative AI support teaching?
Generative AI can support teaching in various ways:
Personalized content: AI can generate tailored learning materials based on individual students' needs, interests, and learning styles, promoting a more engaging and effective learning experience.
Automated grading and feedback: AI can provide instant feedback on students' assignments and suggest improvements, allowing teachers to focus on higher-level guidance and support.
Curriculum development: AI can generate new examples, problems, and exercises to diversify and enrich the curriculum, providing a more comprehensive learning experience for students.
Lesson planning: AI can help teachers create customized lesson plans that align with specific learning objectives and standards, ensuring a well-structured and effective learning process.
Professional development: AI can assist teachers in their own learning, providing personalized recommendations for resources and opportunities to enhance their skills and knowledge.
How can generative AI enhance learning for students?
Generative AI can enhance learning for students in several ways:
Adaptive learning: AI can create personalized learning paths for students, adjusting the content and pacing based on their performance, interests, and learning preferences.
Tutoring and guidance: AI can provide on-demand assistance, answering questions, and offering explanations to help students overcome learning obstacles and deepen their understanding.
Collaboration: AI can facilitate student collaboration by offering suggestions, prompts, and feedback to enrich group discussions and projects.
Creativity and problem-solving: AI can generate novel scenarios, prompts, and challenges, encouraging students to think critically, creatively, and develop problem-solving skills.
Motivation and engagement: AI can make learning more interactive and engaging by introducing gamification elements, real-world applications, and diverse learning materials.
What are the limitations of using generative AI in education?
While generative AI offers promising benefits for education, it also has limitations:
Ethical concerns: Issues such as data privacy, surveillance, and algorithmic biases can arise when implementing AI in education, requiring careful consideration and appropriate safeguards.
Lack of human touch: AI cannot fully replicate the empathy, intuition, and nuanced understanding of human teachers, which are essential for fostering meaningful relationships and supporting students' social-emotional development.
Quality and accuracy: AI-generated content may not always be accurate, relevant, or appropriate, requiring ongoing monitoring and evaluation to ensure its effectiveness and reliability.
Accessibility and equity: Access to AI-powered educational tools may be limited by socioeconomic factors and digital divides, potentially exacerbating existing educational inequalities.
Technical challenges: The implementation of AI in education may face challenges related to infrastructure, connectivity, and user proficiency, which need to be addressed for successful integration.
How can educators and institutions ensure responsible adoption of generative AI?
To ensure responsible adoption of generative AI in education, educators and institutions should:
Set clear goals: Define specific objectives for using AI, ensuring that it supports and enhances teaching and learning, rather than replacing human educators.
Evaluate effectiveness: Continuously assess the impact of AI on student outcomes, engagement, and satisfaction, and make adjustments as needed to optimize its benefits.
Address ethical concerns: Implement robust data protection policies, involve stakeholders in decision-making processes, and use transparent and unbiased algorithms to mitigate potential risks.
Provide training and support: Offer professional development opportunities for educators to build their understanding and skills in using AI effectively and responsibly.
Promote accessibility and equity: Ensure that AI-powered tools and resources are accessible to all students, regardless of their socioeconomic background or digital proficiency, to avoid exacerbating educational disparities.
Seminars / Workshops
06 MAR 2023 (12.30 - 13.30) [Ended]
Sailing into ChatGPT: Discovery of Its Promises and Pitfalls
This introductory seminar invites the CUHK community to sail into the sea of ChatGPT with Dr Christopher SEE and Ms Judy LO to uncover its promises and pitfalls in higher education. Applications of ChatGPT were showcased in the seminar.
Resources (CUHK login required)
02 MAY 2023 (12.30 - 13.30) [Upcoming]
Content Generation with ChatGPT & Midjourney
The workshop will show the content generation process with AI tools to help users understand the potential & challenges of these technologies.
Registration will be open soon.