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Generative AI INsights (GAIN) 2023
Thank you for all the support from speakers, guests and participants.
We thank you very much for your joining our GenAI conference.
As GenAI in education is an emerging topic, teachers and students require continuous discussions and collaborations to identify the best policies and practices. Further, these dialogues shall involve insights and expertise from different disciplines and higher education institutions. We are honoured to have guest speakers from seven universities and more than ten specialisations, making it possible for our participants to understand the subject comprehensively.
More importantly, we hope this conference could be a reference for practical solutions to overcome the ever-changing teaching and learning environment. Educators may soon face other challenges due to rapidly evolving AI technologies in the education sector. Nevertheless, knowledge-sharing events, such as academic conferences, involving visionary and enthusiastic teachers and students sharing their experiences and knowledge would inspire stakeholders to integrate the latest AI technologies in teaching and learning while upholding fairness, transparency, and inclusiveness.
Please stay connected. Our Centre would be privileged to connect with your future research and advocacy activities. With an AI collaborative community’s effort, we could build a better future of education for our students by developing and implementing AI technologies responsibly and ethically.
We wish you every success in your teaching and research. We very much look forward to seeing you at our future events
How do We Respond to AI in Education?
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.
Generative AI Q&A
Do you want to know how generative AI can benefit teaching and learning? Let us hear how the latest GPT-4 from OpenAI answers these 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: 1. 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. 2. 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. 3. Curriculum development: AI can generate new examples, problems, and exercises to diversify and enrich the curriculum, providing a more comprehensive learning experience for students. 4. 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. 5. Professional development: AI can assist teachers in their own learning, providing personalized recommendations for resources and opportunities to enhance their skills and knowledge.
What are the limitations of using generative AI in education? While generative AI offers promising benefits for education, it also has limitations: 1. Ethical concerns: Issues such as data privacy, surveillance, and algorithmic biases can arise when implementing AI in education, requiring careful consideration and appropriate safeguards. 2. 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. 3. 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. 4. Accessibility and equity: Access to AI-powered educational tools may be limited by socioeconomic factors and digital divides, potentially exacerbating existing educational inequalities. 5. 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 generative AI enhance learning for students? Generative AI can enhance learning for students in several ways: 1. Adaptive learning: AI can create personalized learning paths for students, adjusting the content and pacing based on their performance, interests, and learning preferences. 2. Tutoring and guidance: AI can provide on-demand assistance, answering questions, and offering explanations to help students overcome learning obstacles and deepen their understanding. 3. Collaboration: AI can facilitate student collaboration by offering suggestions, prompts, and feedback to enrich group discussions and projects. 4. Creativity and problem-solving: AI can generate novel scenarios, prompts, and challenges, encouraging students to think critically, creatively, and develop problem-solving skills. 5. Motivation and engagement: AI can make learning more interactive and engaging by introducing gamification elements, real-world applications, and diverse learning materials.
What are some common problems faced by teachers when using generative AI in their teaching? 1. Over-reliance: Some educators may become overly reliant on AI-generated content, leading to a decrease in critical thinking and creativity. 2. Bias: Generative AI models may unintentionally perpetuate biases present in the training data, which can negatively impact teaching content. 3. Plagiarism: Students may misuse AI-generated content, leading to concerns about academic integrity. 4. Quality control: Ensuring the accuracy and relevance of AI-generated content can be time-consuming and challenging. 5. Privacy: Safeguarding student data and privacy when using AI tools can be a concern for educators.
How can teachers address these problems effectively? 1. Maintain a balance: Use AI as a supplementary tool rather than a replacement for traditional teaching methods. 2. Understand and mitigate bias: Be aware of potential biases in AI-generated content and take steps to correct them. 3. Promote academic integrity: Educate students about the ethical use of AI-generated content and implement policies to discourage plagiarism. 4. Quality assurance: Regularly review and verify AI-generated content to ensure its accuracy and relevance. 5. Privacy protection: Use privacy-preserving AI tools and follow best practices for data handling to protect student privacy.
How can educators and institutions ensure responsible adoption of generative AI? To ensure responsible adoption of generative AI in education, educators and institutions should: 1. Set clear goals: Define specific objectives for using AI, ensuring that it supports and enhances teaching and learning, rather than replacing human educators. 2. Evaluate effectiveness: Continuously assess the impact of AI on student outcomes, engagement, and satisfaction, and make adjustments as needed to optimize its benefits. 3. Address ethical concerns: Implement robust data protection policies, involve stakeholders in decision-making processes, and use transparent and unbiased algorithms to mitigate potential risks. 4. Provide training and support: Offer professional development opportunities for educators to build their understanding and skills in using AI effectively and responsibly. 5. 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
25 OCT 2023 (12.30 - 14.30)
Embark on an exhilarating journey into GenAI and research as this seminar delves into two pivotal aspects: the ethical citing of AI-generated content and the effective utilisation of AI-powered tools. Discover the intricate art of properly citing AI-generated content in research publications while unravelling the accompanying ethical considerations. Unleash the potential of AI-powered tools as this seminar showcases their wide-ranging applications and transformative benefits, revolutionising the research landscape across diverse disciplines. Immerse yourself in captivating case studies, invaluable guidelines, and empowering strategies that will inspire you to elevate and streamline your research endeavours. Join us and unlock the boundless possibilities of GenAI and research.
30 AUG 2023 (12.00 - 14.00)
This seminar aims to explore best practices for integrating generative AI into classroom activities. Our esteemed guest speakers will also share their valuable insights on mitigating the potential drawbacks of using such AI tools in teaching and learning practices, primarily focusing on discussing CUHK's generative AI policies and the latest developments in VeriGuide in response to AI plagiarism.
Resources (For CUHK Community Only)
21 JUL 2023 (12.30 - 14.00)
Join us for a practical workshop where three experienced professors from leading universities in Hong Kong will share their first-hand experiences of effectively incorporating ChatGPT into their teaching methodologies.
This is not simply another broad overview of AI in education, it’s a hands-on approach that will impart practical knowledge on how to use ChatGPT in lesson planning, content research, curriculum development, and student engagement.
31 MAY 2023 (16.00 - 17.15)
Generative AI systems like ChatGPT or Midjourney have recently become the center of attention due to their transformative implications for content creation in various domains. This seminar will provide a basis for critical reflection on the use of these new tools in higher education, including the rationales given for limiting their use, the feasibility of doing so, and the prospects for incorporating those tools into academic practice in a responsible manner.
02 MAY 2023 (12.30 - 13.30)
The workshop will show the content generation process with AI tools to help users understand the potential & challenges of these technologies.
06 MAR 2023 (12.30 - 13.30)
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)
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