Initial Thoughts
Of the interesting things that I found—which I didn’t think of previously—was the impact of Artificial Intelligence in K-12 education, because YES! these kids are coming of age in a world and workforce that would be largely dominated by AI. I think that’s a great study! (Wang & Lester, 2023)
Ram et al. (2023) talks about a tested method of personalized learning and how that correlated to higher levels of engagement in students (it made them feel good!) as they still completed the assignments and tests, this time, being interested in what they were studying (from my understanding of the paper based on the Abstract), I think this would be a nice study to look through.
Kumar et al. (2023) seems relevant as they discuss how AI is advancing education, in this case, aiding the creation of Multiple Choice Questions (MCQs) for assessment. Pretty cool if you ask me.
Weegar & Idestam-Almquist (2023) is a study on reducing the workload on educators as it relates to automating the manual scoring process (which can’t be fully automated, as that imposes dangerous consequences for the students), and to see how AI once again can be useful in an educational setting.
Martins et al. (2023) shows how middle and high school students are able to understand Machine Learning concepts. The study addresses K-12 standards to see how we can raise kids who think outside the box, and leverage AI tools for the betterment of humanity. Interesting.
References
Kumar, A. P., Nayak, A., K, M. S., Chaitanya, & Ghosh, K. (2023). A Novel Framework for the Generation of Multiple Choice Question Stems Using Semantic and Machine-Learning Techniques. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-023-00333-6
Martins, R. M., Von Wangenheim, C. G., Rauber, M. F., & Hauck, J. C. (2023). Machine Learning for All!—Introducing Machine Learning in Middle and High School. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-022-00325-y
Ram, I., Harris, S., & Roll, I. (2023). Choice-based Personalization in MOOCs: Impact on Activity and Perceived Value. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-023-00334-5
Wang, N., & Lester, J. (2023). Preface to the Special Issue on K-12 AI Education. International Journal of Artificial Intelligence in Education, 33(2), 225–227. https://doi.org/10.1007/s40593-023-00363-0
Weegar, R., & Idestam-Almquist, P. (2023). Reducing Workload in Short Answer Grading Using Machine Learning. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-022-00322-1