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Seeing ChatGPT Through Students' Eyes: An Analysis of TikTok Data

Project Overview

The document examines the influence of generative AI, specifically ChatGPT, on education, particularly through the lens of student interactions on social media platforms like TikTok. It emphasizes the widespread promotional content showcasing ChatGPT's abilities in essay writing and coding, while also acknowledging critical viewpoints regarding its limitations and the potential threats to academic integrity. The analysis of TikTok content reveals a significant lack of discourse surrounding the drawbacks of AI-generated material, including issues of accuracy and ethical considerations. This gap highlights the urgent need for educators to provide guidance on responsible AI usage, ensuring that students can harness the benefits of generative AI while being aware of its pitfalls. Overall, the document calls for a balanced approach to integrating AI in educational settings, advocating for an informed understanding among students to navigate both the advantages and challenges presented by these advanced technologies.

Key Applications

Using ChatGPT for writing essays and generating code

Context: Tertiary education, specifically among students and educators using TikTok as a medium for learning about ChatGPT

Implementation: Analysis of TikTok videos to understand student engagement with ChatGPT

Outcomes: Increased awareness of AI capabilities and applications for academic tasks

Challenges: Concerns about academic integrity, potential misuse for cheating, and lack of critical understanding of AI limitations

Implementation Barriers

Ethical

Concerns regarding academic integrity and the potential for cheating using AI-generated content.

Proposed Solutions: Implementing responsible AI use training and discussions on ethical considerations in educational settings.

Knowledge Gap

Students may not be aware of the limitations and inaccuracies of AI-generated content.

Proposed Solutions: Incorporating discussions about AI's potential biases and risks into curricula.

Project Team

Anna-Carolina Haensch

Researcher

Sarah Ball

Researcher

Markus Herklotz

Researcher

Frauke Kreuter

Researcher

Contact Information

For information about the paper, please contact the authors.

Authors: Anna-Carolina Haensch, Sarah Ball, Markus Herklotz, Frauke Kreuter

Source Publication: View Original PaperLink opens in a new window

Project Contact: Dr. Jianhua Yang

LLM Model Version: gpt-4o-mini-2024-07-18

Analysis Provider: Openai

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