Recommender Systems and Scratch: An Integrated Approach for Enhancing Computer Programming Learning. - Jesennia Cárdenas-Cobo; Amilkar Puris; Pavel Novoa-Hernández; José Angel Galindo; David Benavides 001 (IEEE Trans. Learn. Technol., 2020)

Exploring Functionality and Efficiency of Feature Model Product Configuration Solutions. - Cristian Vidal Silva; Jesennia Cárdenas-Cobo; Aurora Sánchez-Ortiz; Vannessa de J. Duarte; Miguel Tupac-Yupanqui (IEEE Access, 2022)

Exploiting Arduino Features to Develop Programming Competencies. - Miguel Tupac-Yupanqui; Cristian Vidal Silva; Leopoldo Pavesi-Farriol; Aurora Sánchez-Ortiz; Jesennia Cárdenas-Cobo; Felipe Pereira (IEEE Access, 2022)

Developing Programming Competencies in School-Students With Block-Based Tools in Chile, Ecuador, and Peru. - Cristian Vidal Silva; Jesennia Cárdenas-Cobo; Miguel Tupac-Yupanqui; Jorge Serrano-Malebran; Aurora Sánchez-Ortiz (IEEE Access, 2024)

Applying recommendation system for developing programming competencies in children from a non-weird context. - Jesennia Cárdenas-Cobo; Cristian Vidal Silva; Lisett Arévalo; Magali Torres (Educ. Inf. Technol., 2024)

Applying the Block-Based Programming Language ALICE for Developing Programming Competencies in University Students. - Mariuxi Vinueza-Morales; Jesennia Cárdenas-Cobo; Jéssica Cabezas-Quinto; Cristian Vidal Silva (IEEE Access, 2025)

Dataset on Programming Competencies Development Using Scratch and a Recommender System in a Non-WEIRD Primary School Context. - Jesennia Cárdenas-Cobo; Cristian Vidal Silva; Nicolás Máquez (Data, 2025)