Validity and Reliability Study of a Turkish Form of the Machine Learning Attitude Scale

This study aims to adapt the learners’ machine learning technologies attitude scale Turkish. Participants of are 309 university students. Confirmatory factor analysis (CFA) was used on data obtained from Turkish students for construct validity scale. Following this, 23 items were excluded. A confirmatory performed again, completing adaptation Three reasons excluding and following emerged: item structure, domain self-efficacy, cultural process. has enabled attitudes toward artificial intelligence be adapted specifically techniques technologies. The can as a resource further studies.