Akademik Veri Yönetim Sistemi
Participatory Educational Research, cilt.10, sa.1, ss.462-479, 2023 (Scopus)
This study is designed to reveal the research trends of graduate theses
published in the field of computer programming in K-12 between 2018
and 2022. Document analysis was used for data collection in this study.
The data was divided into 9 categories, and the results demonstrated that
the scholars in the Departments of Computer Educational and
Instructional Technologies (CEIT) at Atatürk University and Ondokuz
Mayıs University of Türkiye mainly published master’s theses in this
field in 2019. Another result was that though CEIT is also the main
department for doctoral theses, no difference exists in terms of years or
universities. “Teaching, learning, and training programming” and
"computational thinking" are the most frequently used keywords in
graduate programs, respectively. While quantitative and mixed method
(parallel, convergent), convenience sampling, and psychometric scales
are preferred in master's theses, mixed method (explanatory, mixed),
purposive sampling, interviews/focus group interviews, and psychometric
scales are preferred in doctoral theses, respectively. Observation and
semi-structured interview forms are used as data collection tools in the
theses. Although quantitative methods are mainly utilized in data
analysis, parametric and non-parametric statistical tests are also used, and
content analysis is resorted to as part of qualitative methods. While validity and reliability studies have been carried out measurement tools are employed in master's theses, scales have been developed in doctoral
theses. The present study also offers some suggestions for future research
on teaching computer programming.