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