IA Generativa na Educação: Uma análise sobre a sua utilização nas 100 melhores universidades dos EUA

Ainda na sequência do post anterior, sobre o Catedrático da Universidade do Minho que apelidou de tolos os professores que tem medo que os alunos façam trabalhos usando o ChatGPT, faz todo o sentido divulgar um artigo muito recente publicado na revista Computers & Education: Artificial Intelligence,  que examina a forma como é utilizada a IA Generativa nas 100 melhores universidades dos EUA https://www.sciencedirect.com/science/article/pii/S2666920X24001292#se0170

PS – Quando se pergunta ao ChatGPT quais são as maiores desvantagens que podem advir da utilização da IA na educação a resposta é aquela bastante instrutiva que abaixo se reproduz: 

1. Reduced Human Connection: AI lacks the empathy and intuition that human educators provide. Building motivation, fostering curiosity, and responding to students’ emotional needs often require a human touch that AI can’t replicate.
2. Over-Reliance and Decline in Critical Thinking: Excessive reliance on AI for answers can reduce students’ critical thinking skills. Instead of analyzing problems themselves, students might default to AI-generated responses without fully understanding the underlying concepts.
3. Privacy and Ethical Issues: AI systems often collect significant amounts of student data, raising concerns around privacy, data security, and potential misuse of personal information, especially in educational contexts involving minors.
4. Access and Equity Challenges: Not all students have equal access to the technology needed for AI-based learning, potentially widening the gap between students of different socioeconomic backgrounds.
5. Potential for Bias and Inaccuracy: AI models can inherit biases from their training data, which can lead to biased or incorrect outputs. If unmonitored, these inaccuracies can misinform students and introduce unfairness in automated assessments.
6. Risk of Teacher Displacement and Curriculum Narrowing: AI could be seen as a cost-saving substitute for human teachers, potentially diminishing the quality of education. Additionally, over-reliance on AI tools may push curricula toward standardized approaches, limiting space for creative and critical thinking.
7. Algorithm Dependence: AI-driven learning can create dependence on standardization, which may discourage unique, non-standard approaches that showcase deep, creative understanding of complex material.