Blended learning: mixed modality capable of improving the teaching-learning process in the field of computer science?

Abstract

The objective of this quantitative research is to analyze the impact of the Blended learning modality in the teaching-learning process on assembly language through data science, machine learning and neural networks. This study proposes the review of digital presentations (before class) and use of Turbo Assembler (TASM) software collaboratively (during class) and individually (after class). The results indicate that the review of digital presentations and use of TASM software positively influence the development of programming skills and assimilation of knowledge about assembly language. Finally, Blended learning allows innovating activities in the field of computer science.