Classification of the Theses and Dissertations in the Field of Computer Education and Instructional Technology in Turkey: An Investigation through Text Mining

Year 2021, Volume: 8 Issue: 1, 279 - 291, 01.01.2021

Volkan Kukul Kazım Aydın

https://doi.org/10.17275/per.21.16.8.1

Cited By: 1

Abstract

The rapid development of technology has led changes in educational paradigms in many areas of daily life. With this change, the integration of technology into educational environments and the organization of resources and processes have gained more importance. This situation reveals the need for educational technologies. There is a need for studies that can take a snapshot of the field for researchers to have a better understanding of the field. According to this need, it is aimed to take a snapshot of the area through text mining analysis would provide a wider perspective of the field. The results showed that the analyses on the keywords and summaries of the studies indicated that three clusters were formed according to the summaries and five different clusters were formed according to the keywords. Based on the findings of the current study, the appearance of instructional design in the red cluster and its divergence from other clusters indicate a key finding in terms of the field. It can be concluded that instructional design is used in the design of distance education environments, but in other clusters, instructional design is not a priority. However, the researchers in this field are expected that instructional design principles should be employed for diverse issues such as teaching programming, language teaching, and the use of social media in learning environments.

Keywords

Instructional Technologies, Educational Technologies, Thesis and Dissertations, Text Mining

References

• Aggarwal, C. C., & Wang, H. (2011). Text mining in social networks. In Social network data analytics (pp. 353-378): Springer.