Understanding A.I. in Education
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| Verma, S., & Tomar, P. (Eds.). (2021). Impact of AI technologies on teaching, learning, and research in higher education. Information Science Reference, an imprint of IGI Global | Verma, S., & Tomar, P. (Eds.). (2021). Impact of AI technologies on teaching, learning, and research in higher education. Information Science Reference, an imprint of IGI Global | ||
| [https://doi.org/10.4018/978-1-7998-4763-2] | [https://doi.org/10.4018/978-1-7998-4763-2] | ||
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| the impact of AI (Artificial Intelligence) technologies on teaching, learning, and research in higher education. It explores various facets of AI integration in higher education, including its influence on teaching methodologies, learning experiences, and the research landscape. They cover topics such as AI-powered learning platforms, adaptive learning systems, AI-assisted research methodologies, and the implications of AI on academic outcomes and practices in higher education institutions. The goal is probably to provide insights into how AI technologies are shaping and transforming the landscape of higher education. | the impact of AI (Artificial Intelligence) technologies on teaching, learning, and research in higher education. It explores various facets of AI integration in higher education, including its influence on teaching methodologies, learning experiences, and the research landscape. They cover topics such as AI-powered learning platforms, adaptive learning systems, AI-assisted research methodologies, and the implications of AI on academic outcomes and practices in higher education institutions. The goal is probably to provide insights into how AI technologies are shaping and transforming the landscape of higher education. | ||
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Revision as of 11:33, 4 December 2023
Contents |
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:
The article shows how powerful Ai can be and emphasizes the emergence of Ai generative chatbots and how powerful they can be with how much these technologies have been able to be accessed by students and professors. The article also explains really well how chatgpt is being used by students to cheat from completing students' homework and assignments in both a highschool and university level academics. They also showcase how detection systems are being used to catch students from cheating to keep academic integrity and promote students not to use it as it can have major effects to a students grades.
Assessment:
This article would be useful for teachers that are against the idea of the shift in Ai being used more in schools and in the education system as it is creating a shift in quality of learning and education as more and more students are starting to use chatgpt and many other Ai tools to cheat instead of actually doing the work themselves.This article is a good tool to help the audience understand what the negative effects Ai and chatgpt has created in the education systems with more students starting to cheat and shows how accessible these Ai tools have become
Impact of AI technologies on teaching, learning, and research in higher education. Information Science Reference, an imprint of IGI Global
Verma, S., & Tomar, P. (Eds.). (2021). Impact of AI technologies on teaching, learning, and research in higher education. Information Science Reference, an imprint of IGI Global [2]
Context:
the impact of AI (Artificial Intelligence) technologies on teaching, learning, and research in higher education. It explores various facets of AI integration in higher education, including its influence on teaching methodologies, learning experiences, and the research landscape. They cover topics such as AI-powered learning platforms, adaptive learning systems, AI-assisted research methodologies, and the implications of AI on academic outcomes and practices in higher education institutions. The goal is probably to provide insights into how AI technologies are shaping and transforming the landscape of higher education.
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