Conference Session Report – Group 6
The presentation analyzed the growing significance of Artificial Intelligence (AI) in the field of education, particularly the use and acceptance by students, as well as the challenges from the perspective of educators. A case study was conducted to examine how students use ChatGPT for academic purposes such as research, text production, and proofreading. The study revealed increasing acceptance, but also concerns regarding ethical issues such as data privacy and plagiarism risks. The discussion highlighted that while AI can offer advantages for the learning process, it could also impair critical thinking skills. Additionally, the need for clear guidelines, ethical standards, and professional development for educators was emphasized to integrate AI meaningfully and sustainably into education.
Several key questions regarding the use of AI in education were raised during the presentation. One important question was how understanding AI concepts affects students’ ability to critically evaluate the use of AI tools. A solid knowledge of how AI works and its limitations enables students to use the technology purposefully and responsibly. This allows them to better distinguish between useful and problematic applications, avoiding the risk of AI replacing their own analytical abilities.
Furthermore, the question of how students can use AI without abusing it was addressed. An important answer to this is the teaching of ethical principles and the promotion of responsibility when using AI. This includes raising awareness of potential risks such as plagiarism, data breaches, and the danger of excessive reliance on technology. The question of whether AI can foster students’ critical thinking and problem-solving skills was also discussed. While AI offers potential for supporting complex tasks, it should not replace the need for students to continue thinking independently and developing creative solutions.
Finally, the importance of verifying the accuracy of information from AI tools was emphasized. Cross-referencing information with reliable sources and training in information literacy are crucial to avoid errors or inaccuracies and to ensure the quality of learning processes.
In conclusion, the presentation highlighted the complex challenges and opportunities of using AI in education. A solid understanding of AI is essential to allow students to work with this technology responsibly and creatively, while also addressing ethical and didactic challenges.
Further Reading:
- Becker, K. P., Parker, J. L., & Richter, D. (2024, June 18). Framework for the Future: Building AI Literacy in Higher Education. Moxie. https://moxielearn.ai/wp-content/uploads/2024/06/Ai-literacies-white-paper.docx.pdf
- Hale, Jerold & Householder, Brian & Greene, Kathryn. (2003). The theory of reasoned action. The Persuasion Handbook: Developments in Theory and Practice. 259-286. Accessed on November 25, 2024, on https://www.researchgate.net/publication/288101472_The_theory_of_reasoned_action
- Stanford University. Understanding AI Literacy. https://teachingcommons.stanford.edu/teaching-guides/artificial-intelligence-teaching-guide/understanding-ai-literacy#:~:text=Functional%20AI%20literacy&text=You%20might%20begin%20by%20accessing,AI%20development%20and%20training%20process.
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LinkedIn (April 24, 2024). Artificial Intelligence as a Teaching Aid: Transforming the Educational Process.
https://www.linkedin.com/pulse/artificial-intelligence-teaching-aid-transforming-educational-b-qmvpc