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Abstract. The integration of artificial intelligence (AI) in education has the potential to revolutionize the learning experience for students. This abstract provides an overview of the...
The increasing integration of AI technologies in education has led to growing ethical risks and concerns, including issues related to personal data privacy, algorithm biases, and learner and educator autonomy (Akgun and Greenhow, 2022, Boulay, 2023, Wells, 2023).
1 ian. 2021 · •. to map the landscape of AIEd research publications in recent decades, •. to identify AI technologies and their educational applications and benefits, as reported in empirical research, •. to generate practical guidelines, examples, inspirations and other takeaways for both educators and AI technological experts, •.
In this exploration of the pros and cons of AI in education, we delve into potential benefits ranging from teaching assistance to individualized learning, while also shedding light on the ethical considerations surrounding bias, misinformation, and the future of educators’ roles.
27 iun. 2024 · The results revealed that AI-powered tools are integrated into science education to achieve various pedagogical benefits, including enhancing the learning environment, creating quizzes, assessing students’ work, and predicting their academic performance.
AI in education refers to the use of machine learning algorithms, natural language processing, and other AI technologies to enhance learning experiences, improve administrative efficiency, and provide data-driven insights.
26 feb. 2024 · Metrics. Abstract. The present discussion examines the transformative impact of Artificial Intelligence (AI) in educational settings, focusing on the necessity for AI literacy, prompt engineering proficiency, and enhanced critical thinking skills.
