Ways Students Can Use GenAI

Transcript

1. “Charting” New Territory: Ethical and Effective Use of Generative AI in Business Communication Courses Shannon Li Wellesley College, ‘26
2. Table of contents 01 03 02 04 05 Introduction Project Design & Methods Use Case Overview Implications & Discussion Conclusion
3. Introduction 01
4. The “Why” Relevance of the topic: • Equipping students for an AI-Driven Workplace • Adapting curriculum to the rise of AI Challenges Tackled: • Filling the void: lacking AI guidelines • Establishing a unified AI methodology Academic Contribution: • Amplifying the conversation on AI ethics • Pioneering AI's seamless integration into education
5. Research Questions: 1. How can GenAI be leveraged within business communication courses to elevate student learning and enhance the quality of their work? 2. What are the key ethical dimensions to consider when integrating GenAI into academic settings?
6. Project Design & Methods 02
7. Preliminary Research Mixed methods approach: • Literature Review, Research, and Opinion Articles • Data Collection through polls, interviews AI in Education and Business Communication: • Examining Existing Discourse Analysis of GenAI Tools: • Exploring Applicability in Business Communication Courses
8. In this paper, author Ethan Mollick guides the reader through seven use cases (roles) for AI implementation in a classroom setting. In this article, author Ethan Mollick details the variety of ways to utilize ChatGPT’s Code Interpreter. In particular, he showcases its capabilities in data visualization and analysis. Throughout my research, I apply and expand on Mollick’s use cases, notably the Coach, Tool, and Mentor roles, in seeking optimal approaches to leveraging AI for student success in business communication courses. Proficiency in data visualization and analysis is paramount for efficient business communication. Mollick’s article directly aligns with and enriches the core objectives and methodologies of my research. Preliminary Research Assigning AI: Seven Ways of Using AI in Class Relevance It is starting to get strange. Relevance
9. Analysis Use Case Development Taxonomy: Where can this be implemented Task Identification: Defining suitable applications Guidance/Guidelines: Identifying tools, assessing pros and cons Ethical Considerations: Navigating Ethical Implications
10. Upholding Academic Integrity in a Digital Era Ensuring GenAI Augments, Not Replaces, Critical Thinking Navigating the Ethical Maze “Large language models aren’t going to get less capable in the next few years. We need to figure out a way to adjust to these tools, and not just ban them.” - Ethan Mollick Source: Don’t Ban ChatGPT in Schools. Teach With It.
11. Why don’t you use AI for school? Feels like cheating The overwhelming majority of students express concern surrounding “being caught” using AI for assignments, with many claiming it “feels dishonest” or “violates academic integrity” “It takes me more work to input the best words to get the outcome I want” compared to just doing it myself A few students worry that while “the ideas are mine, the wording isn’t”, and that they “want stuff to come out of my brain” Students remark that they “don’t trust” the reliability of GenAI output, stating that “not all output is legit” and “the tools aren’t good enough yet” Replaces critical thinking Don’t know how/too much work Doubt its output Source: Instagram survey. Data collected 08/22.
12. Guidebook Content 03
13. Written Communications Presentations Data Visualization Use Case Categories Self-Reflection Memo Writing to Two Audiences Crafting compelling, tailored presentations, aiding users at every step of the process Telling a story via a personalized, adaptable data analyst
14. Written Communication My Approach Ethan Mollick’s “AI as a Coach” use case to aid in self-reflection Incorporating existing, personalized sources (i.e. resume) to tailor output Inputting guidelines to model work off of (ie. assignment rubric and examples), as well as aid in formatting and revision Pros: Offers diverse goal suggestions that students might overlook Cons: Lack of understanding context might lead to suggestions misaligned with personal goals Creating: Generate curated goals based on identified weaknesses Analysis: Dissect vast amounts of provided information, pinpointing areas of improvement Pros & Cons Taxonomy Key Takeaway: GenAI aids in tailored memos, but transparency and authenticity are key. Preserve genuine tone and uphold ethical standards.
15. Source: Assigning AI: Seven Ways of Using AI in Class
16. Written Communication Writing for Two Audiences • My Approach: • Applying Bloom's Taxonomy: • Pros & Cons: • Example Prompt: • Key Takeaway:
17. Presentations My Approach Identifying how AI can be utilized in each step of the presentation process: Content, Organization, Delivery, & Feedback Identify and explore potential tools to aid in the presentation process Pros: Offers enhanced efficiency, tailored content, and dynamic data integration at scale Cons: Risks potential authenticity concerns, ethical implications, and over-reliance Creating: Designing visually appealing slides, generating infographics, suggesting innovative ways to present information Analysis: Breaking down complex ideas into digestible, presentation-friendly insights Pros & Cons Taxonomy Key Takeaway: When used as a tool to enhance – not replace – personal input, GenAI can consistently streamline tailored presentations while ensuring the user’s unique voice remains central
18. AI for Presentations Guideline Step When to Use How to Use Content At the onset to determine theme + content scope When topic is broad and needs refinement Research assistance Summarization + extracting key insights Organization After content is compiled When adapting/rearranging content for different audiences Guide for optimizing structure: slide sequence, accompanying visuals, and logical transitions Delivery Before delivering the presentation When modifying deliver for different audiences Analyze audience demographics to suggest ideal tone/speech, narrative flow, emphasis, cues, etc. Feedback After delivering the presentation (post-presentation analysis phase) When making iterative refinements based on feedback Aggregate post-presentation audience feedback Identify areas of improvement and offer future recommendations
19. Data Visualization My Approach Curate relevant graphs, evaluate their effectiveness, and utilize Code Interpreter to enhance their aesthetic, clarity, and alignment with a specified goal audience Pros: Swift data processing from vast datasets lead to comprehensive, adaptive, and insightful visuals Cons: Risk of oversimplification, reliance on AI can risk missing nuanced insights, and there's a learning curve to ensure accurate representation of data. Creating: Producing customizable visualizations Evaluating: Assessing graph effectiveness and accuracy Understanding: Discerning and grasping graph patterns and implications Pros & Cons Taxonomy Key Takeaway: ChatGPT transforms complex datasets into clear insights, but despite its analyzing prowess, human expertise, with its nuanced understanding and contextual judgment, remains irreplaceable in data interpretation and communication
20. DEMO:
21. Case Study Recap Summary Statement Summary statement Approaches • Prompt crafting: • Results Increase in website traffic Increase in sales Increase in clicks 23% 80% +10% Key takeaway 1 Key takeaway 2 How to judge/repeat consistently high quality output takeaway
22. Implications & Discussion 05
23. Reframing AI Ethics in Education Beyond Black & White: • AI usage in education isn't a straightforward matter of right or wrong. It's about how we use it Enhancement, Not Replacement: • AI should be a tool to amplify learning, not a substitute for genuine understanding or effort Preparing for the Future: • Proper AI usage equips students for a rapidly evolving world, fostering adaptability and tech-savviness Reframing the Cheating Paradigm: • It's time to shift our perspective. When used ethically and responsibly, AI can be a legitimate and valuable educational tool
24. Balancing AI & Education Hybrid Learning Paradigm: • Integration, not Replacement: Combine AI-driven tools with traditional methods to enhance learning • Tailored Instruction: AI assists in personalized learning pathways, addressing diverse student needs. • Hands-on Engagement: Practical tasks complement AI to reinforce conceptual understanding. Ethical Tech Fluency: • Ethics Education: Equip students with AI ethical awareness to make informed choices. • Critical Thinking: Encourage critical evaluation of AI-generated content and outputs. • Holistic Skills: Nurture skills beyond AI, fostering well-rounded professionals. Ongoing Adaptation: • Agile Curriculum Design: Flexibility to integrate emerging AI advancements into curricula. • Collaborative Learning: Encourage peer learning and AI-assisted group work for balanced growth. • Faculty Development: Empower educators to leverage AI for impactful instruction.
25. 06 Conclusion
26. Charting the AI-Education Frontier Revolution in Business Communication GenAI elevates content and outcomes, but its integration demands ethical and academic vigilance Utilized a mixed-methods lens, encompassing literature, empirical research, and case studies, to unravel AI's potential and pitfalls in business communication A confluence of AI and traditional pedagogy, underscored by ethical tech literacy and a commitment to evolving with the times, is pivotal for nurturing holistic learners in our contemporary educational landscape Holistic Inquiry The Future Blueprint
27. Future Research Directions As students master AI tools, what becomes the new pinnacle of educational achievement? How do we reshape and scale education to harness the full potential of AI, while maintaining its essence?
28. Thank you! Questions? Contact Me! shanli@mit.edu, sl124@wellesley.edu 650-888-0267 https://www.linkedin.com/in/shannonyli/ SPECIAL THANKS TO: Professor Webster and all research members in the UROP team!
29. Sources Caption Subject 1 • https://www.nytimes.com/2023/01/12/technology/chatgpt-schools-teachers.html • Link Subject 2 • LInk • Link • Link Subject 3 • LInk • Link
31. Learning Self-care Goal-setting Time management Networking Communication Tips & tricks Break your day into smaller chunks and focus on one task at a time. Take short breaks in between to stay fresh Make time for exercise, healthy eating, and hobbies outside of work to reduce stress and promote relaxation Attend workshops or conferences, read industry publications, and take online courses to expand your knowledge base Attend events, join professional organizations, and connect with others in your field on social media to expand your network Be concise when communicating ideas, actively listen to feedback, and be open to constructive criticism Set clear goals by breaking them down into smaller achievable steps and by celebrating progress
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