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Georgia State University professor G. Sue Kasun utilized Google's generative AI chatbot, Gemini, to assist in developing course content and grading rubrics, reflecting a growing trend among educators using AI for various academic tasks.
AI-powered homework helpers are becoming increasingly integrated into educational settings, with companies like OpenAI and Google introducing AI tutors aimed at enhancing student learning. However, studies, including those by Hamsa Bastani, suggest that while highly motivated students may benefit, the majority of students do not see significant learning improvements, as AI tools often provide answers too readily and lack effective pedagogical support.
Howard Gardner and Anthea Roberts discussed the transformative impact of AI on education, predicting that by 2050, traditional schooling will be outdated, with AI reshaping learning and cognitive development. Gardner suggested that AI might render certain cognitive skills optional, while Roberts emphasized the need for individuals to expand their cognitive abilities through AI rather than replace them.
Penn State University Libraries has introduced a Generative Artificial Intelligence tutorial series to help clarify the technology behind tools like ChatGPT. The series, adapted from the University of Arizona Libraries, includes four virtual tutorials that cover AI's historical development, machine learning, deep learning, and neural networks, aiming to foster informed discussions within the university community.
The OHIO community now has premium access to Consensus, an AI tool designed for researchers, through the University Libraries, which searches over 200 million academic papers and uses language models to synthesize peer-reviewed literature. Unlike general-purpose chatbots, Consensus is trained only on high-quality research papers, ensuring responses are grounded in citable research, and is ideal for exploring research questions rather than general knowledge.
ChatGPT Pro, priced at $200 per month, offers advanced features like automated peer reviews and claims matrix generation, which can be beneficial for researchers, but its mixed performance and usability issues raise questions about its value. While it excels in certain tasks, such as deep reasoning and cross-paper synthesis, its tendency to overanalyze and produce overly detailed outputs, along with its high cost, make it less appealing compared to more affordable alternatives that offer similar or superior functionality.
Generative AI tools like ChatGPT are increasingly used in academic settings, but a study by Er-Te Zheng and Mike Thelwall highlights a critical flaw: these models often fail to recognize retracted articles, mistakenly evaluating them as high-quality research. This oversight risks amplifying discredited science, underscoring the need for users to independently verify sources to maintain scholarly integrity.
PhD student Lisa Chen found that using both Perplexity and ChatGPT in tandem significantly enhanced her research efficiency, with Perplexity excelling in citation accuracy and ChatGPT in comprehension. This dual-model approach not only transformed her dissertation process, reducing the timeline from six months to three weeks, but also increased her academic output and grant success rate, leading her to advocate for multi-model research methods as the future standard in academia.
Google and the University of Waterloo are collaborating to study the impact of artificial intelligence on education and career readiness, establishing The Future of Work Institute to proactively shape the future of work and learning. The partnership includes a $1 million contribution from Google and aims to develop an AI literacy program to benefit students, educators, and small business owners, with a focus on making AI technology accessible and beneficial to all.
