CHALLENGES IN TEACHING AI TO YOUNG STUDENTS

Authors

  • Muzrobbekov Shohruhbek Computer Science Teacher at the Canadian School of Tashkent Author

Keywords:

Artificial Intelligence, Teaching AI, Young Students, AI Ethics, Data Science, Educational Technology, Machine Learning, Curriculum Design, STEM Education, Classroom Challenges.

Abstract

The introduction of Artificial Intelligence (AI) into educational settings presents numerous challenges, particularly when it comes to teaching young students. The complexities of AI concepts, the need for understanding data and algorithms, ethical concerns, and the lack of resources and expertise all contribute to the difficulties educators face. However, as AI becomes an increasingly important part of our everyday lives, it is vital to equip students with the skills and knowledge to understand and navigate this rapidly developing field. This article explores the key challenges in teaching AI to young students and suggests strategies for overcoming these obstacles, emphasizing hands-on learning, real-world applications, and ethical considerations.

References

1. Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach (4th ed.). Pearson Education.

2. Binns, I. (2018). "Teaching AI in Schools: Ethical Considerations and Challenges." Journal of Educational Technology and Society, 21(4), 63-72.

3. Sullivan, F., & Mack, R. (2021). "Learning AI: Exploring the Challenges and Benefits of Teaching Artificial Intelligence in Primary Schools." Technology, Pedagogy and Education, 30(2), 153-168.

4. Yadav, A., Hambrusch, S., & Gupta, P. (2019). "Teaching AI and Data Science to K-12 Students: A Survey." Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 876-882.

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Published

2024-12-27

Issue

Section

Articles