Note: This workshop is online only.

About this workshop:

Workshop participants will explore the use of Generative AI (GenAI) to assist with Student Research for idea generation, and literature reviews, and consider ethical considerations such as plagiarism, privacy, and research integrity. Participants will gain a basic understanding of GenAI and the ethical implications of its use in student research.

Learning objectives

At the end of this Introductory portion of this workshop, you will be able to:

1. Understand Generative AI: Define Generative AI and explain its relevance and potential applications in student research.
2. Ethical Considerations: Discuss the ethical implications of using GenAI in academic work, including issues related to plagiarism, data privacy, and research integrity.
3. Apply strategies such as prompt design, critical review of terms and conditions, and adjustments to privacy settings to address GenAI ethics and safety issues.
4. Explore Use Cases: Identify specific use cases of different GenAI in academic settings, such as literature review, idea generation, and data analysis.
5. Practical Applications: Demonstrate how to use Generative AI tools effectively for research purposes, including tips for generating useful outputs and refining queries.
6. Evaluate Quality and Reliability: Teach participants how to critically evaluate the outputs of Generative AI tools, including assessing accuracy, relevance, and potential biases.
7. Attribution: Cite outputs from GenAI tools using APA, MLA, IEEE, or other citation styles.
8. UVic Policies: Describe UVic policies and guidelines that relate to the use of GenAI, and understand their implications for academic integrity.
9. Stay Informed: Be familiar with other places on campus, like LTSI, which can support you in the effective and appropriate use of GenAI