English Language as Education Barrier in Using Information Technology
English Language as Education Barrier in Using Information Technology
Author(s): Tamara Grujić, Ljiljana KrnetaSubject(s): Social Sciences, Education
Published by: Carol I National Defence University Publishing House
Keywords: education barriers; teaching communication; English language; information technology;
Summary/Abstract: Education barriers in communication based on information technology (IT) could be caused by differences in students’ previous knowledge, teaching communication quality and personality of teachers, quality of textbooks and foreign literature, students’ interest for specific curriculum content, demographic potential of educational institution, as well as a quality of family support for a student. Teaching communication can be studied in terms of pedagogical and psychological theory, and on the other side in terms of informational and communicational theory. New forms of education barriers, caused by information technology and internet as a source of knowledge, are detected in all models of classical teaching communication. Based on analysis of numerous studies, education barriers could be classified as media, linguistic, psychological, sociological, technological, demographical, economic and other barriers. In our research we define education barriers as communicational obstacles in IT based learning which cause students’ poor achievement in all educational levels. The sample includes students from: higher grades of elementary schools, gymnasiums and vocational schools and higher educational institutions. All examinees are from the Republic of Serbia. Additional to teaching, psychological and IT experts, examinees’ parents also made a contribution to the research process. The focus of this paper is on language barriers of lower intensity which are present in all other educational barriers. Language barriers refer to foreign words and phrases, technical terms, abbreviations, and English as general language in communication within information technology users. Obtained data were course to statistical methods. For determining the relation between variables we applied the multiple-regression factor analysis according to Guttman-Kaiser criterion.
Journal: Conference proceedings of »eLearning and Software for Education« (eLSE)
- Issue Year: 14/2018
- Issue No: 02
- Page Range: 463-470
- Page Count: 8
- Language: English