SLR PD - Computational Thinking: as researchers, what do we tell our pre-and in-service teachers?

This dataset represents the data we analized for our Systematic Review:

Dataset Source:It was selected from Databases such as ERIC, ACM digital library, LearnTechLib, SCOPUS, and Web of Science.Inclusion (IC) and Exclusion Criteria (EC):IC.1: Indicated some relationship between some skill, specific skill, or topic related to STEM and CT or STEM and CS.IC.2: Presented an experiment, didactical activities, or assessment tool.

EC.1: The article describes a tutorial, demonstration, discussion panel proposal, or interview;EC.2: CT or CS is the central theme of the article; however, no relationship to STEM is explicitly presented or discussed;EC.3: STEM is the article’s central theme; however, no relationship to CT or CS is explicitly presented or discussed;EC.4: The study is not in the education context. Or the article is out of context and addresses another research theme.EC.5: Secondary studies, books, posters, roundtables, work-in-progress papers, short papers, and grey literature.

Data Collection Process:The PRISMA process was followed.Sample Size:40 papers were selected and analyzed.