Summary Student Use Cases for AI | Harvard Business Publishing Education hbsp.harvard.edu
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Harvard Business Publishing Education provides articles and guidelines for responsibly integrating AI in the classroom, covering feedback generation, tutoring, coaching, and learning.
Slides
Slide Presentation (12 slides)
Key Points
- AI tools and large language models (LLMs) offer opportunities and challenges for teaching and learning.
- Guidelines are necessary for students to properly use AI tools, including understanding LLMs, being aware of fabrication and bias, and considering privacy concerns.
- Best practices for interacting with AI include being accountable for your own work, understanding that AI is not a person, recognizing that AI is unpredictable, and only sharing what you are comfortable sharing.
- Students should seek clarity and provide context when communicating with AI to enhance their interactions.
- Educators can use these guidelines to prepare students to work effectively with AI.
Summaries
23 word summary
Harvard Business Publishing Education offers articles on integrating AI in the classroom, including feedback generation, tutoring, coaching, and learning. Guidelines ensure responsible use.
52 word summary
Harvard Business Publishing Education has created articles on integrating AI into the classroom. Use cases include AI as a feedback generator, personal tutor, team coach, and learner. Guidelines for responsible AI use are provided, covering LLMs, bias, and privacy. Educators can leverage AI's potential in education with practical guidance from the series.
154 word summary
Harvard Business Publishing Education has created a series of articles to help educators integrate AI into the classroom and enhance student learning. The articles explore different use cases for AI, starting with its role as a feedback generator, providing instant feedback to improve student work. The second use case is AI as a personal tutor, customizing the learning experience for individual students. AI as a team coach is the third use case, facilitating collaboration and offering guidance to student teams. The fourth use case is AI as a learner, encouraging students to teach and engage in dialogue with the technology. Guidelines for proper AI use are provided, including understanding LLMs, addressing bias and privacy concerns, and being critical of AI advice. By sharing these guidelines, educators can ensure responsible and ethical AI use in the classroom. The series of articles offers practical guidance for educators to leverage the potential of AI technology in education.
426 word summary
Harvard Business Publishing Education has created a series of articles to help educators navigate the use of AI in the classroom. The articles explore different student use cases for AI and provide practical recommendations for integrating AI into teaching to enhance student learning.
The first use case discussed is AI as a feedback generator. AI can provide instant feedback to students, allowing them to improve their work and learn more effectively. The article offers guidance on how educators can guide students in using AI for feedback generation.
The second use case is AI as a personal tutor. AI can customize the learning experience for individual students, providing tailored content and support. The article provides guidance on how educators can integrate AI into their teaching to enhance student learning.
The third use case is AI as a team coach. AI can facilitate collaboration and teamwork by providing guidance and feedback to student teams. The article explores how AI can improve the effectiveness of group work and offers strategies for educators to incorporate AI into team-based projects.
The fourth use case is AI as a learner. AI can learn from students and adapt its responses based on their input. This use case encourages students to teach AI and engage in a dialogue with the technology. The article provides examples of how educators can encourage students to interact with AI as a learner.
Before students start using AI, it is important to establish guidelines for its proper use. The article offers guidelines for understanding LLMs, dealing with fabrication and bias in AI outputs, and addressing privacy concerns. It also provides best practices for interacting with AI, such as being critical of AI advice, providing context to the AI, and not assuming that the AI is tracking the conversation.
These guidelines help students understand the capabilities and limitations of AI and enable them to work more effectively with the technology. By sharing these guidelines with students, educators can ensure that AI is used responsibly and ethically in the classroom.
The article concludes by inviting educators to share their experiences and concerns about using generative AI in their classes. Harvard Business Publishing Education is interested in learning from educators and incorporating their insights into future articles and resources.
Overall, the series of articles on student use cases for AI provides practical guidance for educators on how to integrate AI into their teaching and enhance student learning. By exploring different use cases and providing guidelines for proper AI use, the articles empower educators to leverage the potential of AI technology in education.
445 word summary
Generative AI tools and large language models (LLMs) have the potential to revolutionize education by offering new opportunities for learning. However, they also come with challenges and risks. To help educators navigate the use of AI in the classroom, Harvard Business Publishing Education has created a series of articles that explore different student use cases for AI.
The first use case discussed is AI as a feedback generator. AI can provide instant feedback to students, allowing them to improve their work and learn more effectively. The article provides practical recommendations for how educators can guide students in using AI for feedback generation.
The second use case is AI as a personal tutor. AI can customize the learning experience for individual students, providing tailored content and support. The article offers guidance on how educators can integrate AI into their teaching to enhance student learning.
The third use case is AI as a team coach. AI can facilitate collaboration and teamwork by providing guidance and feedback to student teams. The article explores how AI can improve the effectiveness of group work and offers strategies for educators to incorporate AI into team-based projects.
The fourth and final use case is AI as a learner. AI can learn from students and adapt its responses based on their input. This use case encourages students to teach AI and engage in a dialogue with the technology. The article provides examples of how educators can encourage students to interact with AI as a learner.
Before students start using AI, it is important to establish guidelines for its proper use. The article offers guidelines for students on understanding LLMs, dealing with fabrication and bias in AI outputs, and addressing privacy concerns. It also provides best practices for interacting with AI, such as being critical of AI advice, providing context to the AI, and not assuming that the AI is tracking the conversation.
These guidelines help students understand the capabilities and limitations of AI and enable them to work more effectively with the technology. By sharing these guidelines with students, educators can ensure that AI is used responsibly and ethically in the classroom.
The article concludes by inviting educators to share their experiences and concerns about using generative AI in their classes. Harvard Business Publishing Education is interested in learning from educators and incorporating their insights into future articles and resources.
Overall, the series of articles on student use cases for AI provides practical guidance for educators on how to integrate AI into their teaching and enhance student learning. By exploring different use cases and providing guidelines for proper AI use, the articles empower educators to leverage the potential of AI technology in education.