Understanding A.I. in Education
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| + | This article would be useful for teachers and professors to have an understanding on how Ai is being implemented in the education system and give them a better insight on whether Ai is the correct path in the education system, whether it should be removed entirely and banned and continue to penalize students for using Ai or should Ai be allowed for students to use as a tool to help them with helping them complete assignments and help them with research. This Article was indeed a good tool to help the audience understand how Ai is being implemented in higher education like University and College | ||
Revision as of 11:39, 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.
Overview:
The vast potential for AI integration in higher education, presenting opportunities for various entities like product/service companies, educators, administrators, and tech professionals. It emphasizes leveraging disruptive technologies to innovate traditional academic processes, potentially changing how information is accessed, created, and learned. The integration of AI into the student ecosystem is seen as a means to enhance lifelong learning and uphold the core values of higher education.The book "Impact of AI Technologies on Teaching, Learning, and Research in Higher Education" delves into the emergence of AI in academia, exploring both its positive and negative impacts. It examines recent technological advancements and the swift adoption of these innovations in higher education, envisioning a future where AI is deeply embedded in university operations. The book investigates how these technologies affect student learning, institutional teaching methods, and overall educational evolution. It also addresses challenges in implementing AI for teaching, learning, student support, and administration, highlighting tools like machine learning, natural language processing, and self-learning systems. Targeting a broad audience including administrators, software developers, policymakers, researchers, and students, the book aims to guide the implementation of AI in higher education.
Strength and Weaknesses:
The article explains really well on the impact of Ai and have done tests on how the implementations of Ai have affected higher education however they have not done tests in highschool or in elementary school too as they too also us Ai as a tool in school. The article explains really well how AI has been implemented in Universities. It also addresses challenges in implementing AI for teaching, learning, student support, and administration, highlighting tools like machine learning, natural language processing, and self-learning systems.
Assessment:
This article would be useful for teachers and professors to have an understanding on how Ai is being implemented in the education system and give them a better insight on whether Ai is the correct path in the education system, whether it should be removed entirely and banned and continue to penalize students for using Ai or should Ai be allowed for students to use as a tool to help them with helping them complete assignments and help them with research. This Article was indeed a good tool to help the audience understand how Ai is being implemented in higher education like University and College
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