Assessing the performance of 8 AI chatbots in bibliographic reference retrieval: Grok and DeepSeek outperform ChatGPT, but none are fully accurate

Project Overview

The document explores the transformative role of generative AI in education, highlighting its key applications and outcomes. Generative AI tools are increasingly being integrated into various educational settings, supporting personalized learning experiences, enhancing student engagement, and facilitating administrative tasks. Key applications include the creation of customized learning materials, automated grading systems, and interactive tutoring systems that adapt to individual student needs. Findings indicate that these AI-driven solutions can significantly improve learning outcomes by providing real-time feedback and catering to diverse learning styles. Educators report that generative AI helps reduce their workload, enabling them to focus more on direct student interaction. Moreover, the document discusses the importance of ethical considerations and the need for proper training in AI usage among teachers and students. Overall, the integration of generative AI in education shows promising potential to enhance the educational landscape by making learning more accessible, efficient, and tailored to individual needs, while also addressing challenges related to equity and data privacy. The outcomes suggest that as educators and institutions continue to adopt these technologies, they must remain vigilant in ensuring that AI is used responsibly to maximize its benefits for all learners.

Project Team

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Authors: Álvaro Cabezas-Clavijo, Pavel Sidorenko-Bautista

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