Research Implications for Computer Science Education based on Darmstadt Model
Öz
The purpose of the current study is to examine published studies in computer science education in a systematic way, and to present a history of the research and new research trends in this area. This research study reports the findings of the systematic literature review according to the educational relevant areas dimension of the Darmstadt Model. The procedures of systematic text analysis were performed as a qualitative content analysis. Prior to the systematic text analysis, the primary term ‘computer science education and K-12’ was searched for along with data in the abstract, title and keyword section for publications between 2013 and 2018 in the databases and digital libraries of Academic Search Complete, Business Source Complete, Eric, Science Direct, and the IEEE Digital Library. A total of 87 articles formed the sample of the study. Although the current study was limited to the stated journal articles, it provides insight to the field by shedding light on important issues relevant to future research studies.
Anahtar Kelimeler
computer science education, research, systematic literature review
Kaynakça
- Aleksić, V., & Ivanović, M. (2016). Introductory programming subject in European higher education. Informatics in Education, 15(2), 163-182.
- Benotti, L., Martinez, M. C., & Schapachnik, F. (2018). A tool for introducing computer science with automatic formative assessment. IEEE Transactions on Learning Technologies, 11(2), 179-192.
- Blikstein, P. (2018). Pre-College computer science education: a survey of the field. Mountain View, CA: Google LLC. Retrieved from https://goo.gl/gmS1Vm.
- Bocconi, S., Chioccariello, A., Dettori, G., Ferrari, A., & Engelhardt, K. (2016). Developing computational thinking in compulsory education-Implications for policy and practice (No. JRC104188). Luxembourg: Publications Office of the European Union. Retrieved from http://publications.jrc.ec.europa.eu/repository/bitstream/JRC104188/jrc104188_computhinkreport.pdf.
- Code Advocacy Coalition. (2018). 2018 State of computer science education, policy and implementation. Retrieved from https://code.org/files/2018_state_of_cs.pdf.
- Coleman, L. O., Gibson, P., Cotten, S. R., Howell-Moroney, M., & Stringer, K. (2016). Integrating computing across the curriculum: The impact of internal barriers and training intensity on computer integration in the elementary school classroom. Journal of Educational Computing Research, 54(2), 275-294.
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- Hubwieser, P., Armoni, M., & Giannakos, M. N. (2015). How to implement rigorous computer science education in K-12 schools? Some answers and many questions. ACM Transactions in Computing Education, 15(2), 1-12. DOI: http://dx.doi.org/10.1145/2729983.
