Understanding A.I. in Education

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	==== Context: ====		==== Context: ====
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	It delves into how AI systems like ChatGPT can influence and potentially expand the dimensions of academic dishonesty, discussing the challenges and responsibilities associated with the integration of AI in educational settings. The author, J. A. Oravec, explores the ethical considerations, potential risks, and ways to foster responsible collaboration between humans and AI in academia to mitigate cheating.		It delves into how AI systems like ChatGPT can influence and potentially expand the dimensions of academic dishonesty, discussing the challenges and responsibilities associated with the integration of AI in educational settings. The author, J. A. Oravec, explores the ethical considerations, potential risks, and ways to foster responsible collaboration between humans and AI in academia to mitigate cheating.
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		+	==== Overview: ====
		+	The increasing concern of cheating in higher education, especially with the emergence of AI generative chatbots. These technologies allow easy access to content creation, raising ethical issues in academic settings. There's a technological competition between cheating detection systems and tech-savvy students. AI has expanded cheating challenges by enabling students to produce content for assignments, exams, or papers as their own. However, AI methods like facial recognition and watermarking are also being used to prevent cheating. The article highlights the concept of "misattributed co-authorship" for collaborations between humans and AI systems like ChatGPT and Bard. It suggests that rather than solely catching cheaters, technology can help students learn proper attribution in collaborative work involving AI. Encouraging responsible usage can prepare students for a future where AI collaboration is prevalent.
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		+	==== Strengths and Weaknesses: ====

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Revision as of 11:24, 4 December 2023

Contents 1 Context 2 Artificial Intelligence Implications for Academic Cheating: Expanding the Dimensions of Responsible Human-AI Collaboration with ChatGPT 2.1 Context: 2.2 Overview: 2.3 Strengths and Weaknesses:

Context

Ai has changed how schools and education is being taught in our current day and age. With chatgpt and many other Ai tools being used to assist students with their learning and assistance with school work. However Ai is also having a negative effect on the education system with a lot more cheating and academic integrity is currently being challenged is Ai a positive tool in education or is AI a negative tool in education causing students to become complacent and not actually learn and develop skills that are required outside of school. These ideas and questions need to be thoroughly analyzed as more technology are being implemented in schools and Universities so we need to challenge and explore if this is the right path for education in the future.

Artificial Intelligence Implications for Academic Cheating: Expanding the Dimensions of Responsible Human-AI Collaboration with ChatGPT

Oravec, J. A. (2023). Artificial Intelligence Implications for Academic Cheating: Expanding the Dimensions of Responsible Human-AI Collaboration with ChatGPT. Journal of Interactive Learning Research, 34(2), 213 [1]

Context:

It delves into how AI systems like ChatGPT can influence and potentially expand the dimensions of academic dishonesty, discussing the challenges and responsibilities associated with the integration of AI in educational settings. The author, J. A. Oravec, explores the ethical considerations, potential risks, and ways to foster responsible collaboration between humans and AI in academia to mitigate cheating.

Overview:

The increasing concern of cheating in higher education, especially with the emergence of AI generative chatbots. These technologies allow easy access to content creation, raising ethical issues in academic settings. There's a technological competition between cheating detection systems and tech-savvy students. AI has expanded cheating challenges by enabling students to produce content for assignments, exams, or papers as their own. However, AI methods like facial recognition and watermarking are also being used to prevent cheating. The article highlights the concept of "misattributed co-authorship" for collaborations between humans and AI systems like ChatGPT and Bard. It suggests that rather than solely catching cheaters, technology can help students learn proper attribution in collaborative work involving AI. Encouraging responsible usage can prepare students for a future where AI collaboration is prevalent.

Strengths and Weaknesses: