Bibliography
These are the links to the sites we visit to create content for our site.
HOLMES, Wayne; BIANCHI, Antonio; CUNNINGHAM, Paul. Intelligence Unleashed: An argument for AI in Education. ResearchGate, 2015. Available at: https://www.researchgate.net/publication/299561597_Intelligence_Unleashed_An_argument_for_AI_in_Education. Accessed on: November 21, 2024.
UNESCO. Artificial Intelligence and the Futures of Learning: UNESCO's Education Policy Review, 2020. Available at: https://unesdoc.unesco.org/ark:/48223/pf0000376709. Accessed on: November 21, 2024.
CEPI. Sustainability Report Full Update, 2018. Available at: https://sustainability.cepi.org/wp-content/uploads/2018/10/CEPI_Sustainability_report_full_update.pdf. Accessed on: November 21, 2024.
ROMERO, Cristóbal; VENTURA, Sebastián. Educational Data Mining and Learning Analytics. ResearchGate, 2017. Available at: https://www.researchgate.net/publication/316628053_Educational_data_mining_and_learning_analytics. Accessed on: November 21, 2024.
HAO, Karen. Training a Single AI Model Can Emit as Much Carbon as Five Cars in Their Lifetimes. MIT Technology Review, 2019. Available at: https://www.technologyreview.com/2019/06/06/239031/training-a-single-ai-model-can-emit-as-much-carbon-as-five-cars-in-their-lifetimes/. Accessed on: November 21, 2024.
STRUBELL, Emma; GANESH, Ananya; McCALLUM, Andrew. Energy and Policy Considerations for Deep Learning in NLP. ArXiv, 2019. Available at: https://arxiv.org/pdf/1906.02243. Accessed on: November 21, 2024.
IBM. Artificial Intelligence: Overview and Developments. IBM, 2024. Available at: https://www.ibm.com/br-pt/topics/artificial-intelligence. Accessed on: November 21, 2024.
ADOBE. [AI-generated imagens]. Adobe Express, 2024. https://new.express.adobe.com/
MICROSOFT. [AI-generated imagens]. Copilot, 2024. https://copilot.cloud.microsoft/