A Proposal for Performance-based Assessment of the Learning of Machine Learning Concepts and Practices in K-12. - Christiane Gresse von Wangenheim; Nathalia da Cruz Alves; Marcelo Fernando Rauber; Jean C. R. Hauck; Ibrahim H. Yeter (Informatics Educ., 2022)

Assessing the Learning of Machine Learning in K-12: A Ten-Year Systematic Mapping. - Marcelo Fernando Rauber; Christiane Gresse von Wangenheim (Informatics Educ., 2023)

Uma Análise Detalhada do Desempenho de Aprendizagem ensinando Machine Learning na Educação Básica aplicando a Teoria de Resposta ao Item. - Marcelo Fernando Rauber; Christiane Gresse von Wangenheim; Adriano Ferreti Borgatto; Ramon Mayor Martins (Revista Brasileira de Informática na Educ., 2023)

Teaching Machine Learning to Middle and High School Students from a Low Socio-Economic Status Background. - Ramon Mayor Martins; Christiane Gresse von Wangenheim; Marcelo Fernando Rauber; Jean Carlo Rossa Hauck; Melissa Figueiredo Silvestre (Informatics Educ., 2024)

Reliability and Validity of an Automated Model for Assessing the Learning of Machine Learning in Middle and High School: Experiences from the "ML for All!" course. - Marcelo Fernando Rauber; Christiane Gresse von Wangenheim; Pedro Alberto Barbetta; Adriano Ferreti Borgatto; Ramon Mayor Martins; Jean Carlo Rossa Hauck (Informatics Educ., 2024)

Machine Learning for All! - Introducing Machine Learning in Middle and High School. - Ramon Mayor Martins; Christiane Gresse von Wangenheim; Marcelo Fernando Rauber; Jean Carlo Hauck (Int. J. Artif. Intell. Educ., 2024)

Comparing the Perceptions of Middle and High School Students from Different Socioeconomic Status Backgrounds on Learning Machine Learning. - Ramon Mayor Martins; Christiane Gresse von Wangenheim; Marcelo Fernando Rauber; Jean Carlo Rossa Hauck; Adriano Ferreti Borgato (Revista Brasileira de Informática na Educ., 2025)