Teachers' Perception of the Use of ICT in Foreign Language Teaching at a Higher Education Institution


DOI: https://doi.org/10.15308/Sinteza-2020-93-98
Authors:
Maja Veljković Michos
Valentina Bošković Marković

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Keywords:
Foreign language teaching, language teachers, ICT teaching methods.


Abstract:
The objective of this paper is to analyse and present the attitude of language teachers of a private higher education institution towards the use of ICT in the process of teaching foreign languages. Furthermore, the aim of the paper is to find out if teachers believe they have the skills and abilities necessary for the implementation of ICT tools. For this purpose, the authors have designed a questionnaire in order to examine if foreign language teachers feel motivated and prepared to implement new technologies as an integral part of their lectures. The results show a positive attitude of foreign language teachers regarding the incorporation of ICT tools in their classes, though they do not state that ICT tools are mandatory and/or essential in the language classroom. The research results also indicate that teachers use both traditional and ICT methods, which they find to be a perfect combination. These research results are very similar to the results of the previous research conducted by the same authors, but from students´ perspective, regarding the usage of ICT tools in foreign language classroom.

CITATION:

IEEE format

M. Veljković Michos, V. Bošković Marković, “Teachers' Perception of the Use of ICT in Foreign Language Teaching at a Higher Education Institution,” in Sinteza 2020 - International Scientific Conference on Information Technology and Data Related Research, Belgrade, Singidunum University, Serbia, 2020, pp. 93-98. doi:10.15308/Sinteza-2020-93-98

APA format

Veljković Michos, M., Bošković Marković, V. (2020). Teachers' Perception of the Use of ICT in Foreign Language Teaching at a Higher Education Institution. Paper presented at Sinteza 2020 - International Scientific Conference on Information Technology and Data Related Research. doi:10.15308/Sinteza-2020-93-98

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