Surveying KwaZulu-Natal universities’ language academics for the modelling of factors affecting their attitudes towards computer assisted language learning tools for African indigenous languages

Abstract

Computer Assisted Language Learning (CALL) has been proven by literature to be of immense benefit to the teaching and learning of language at all levels of education. However, it is interesting that university language academics seem to have a negative attitude towards CALL. The aim of this study, therefore, is to design a conceptually sound model of the factors that affect the attitudes of language academics towards Computer Assisted Language Learning Tool for African Indigenous Languages (CALLTAIL) and to examine the relationship between CALL and language attrition, especially for marginalised African languages. Supporting this study are these four theories, namely, the Theory of Reasoned Action, the Theory of Planned Behaviour, Hume’s Theory of Beliefs, and the Digital Divide Theory. The study uses content analysis review of suitable literature and a survey of fifty (50) language academics from three (3) public universities in the province of KwaZulu-Natal in South Africa. The factors identified to affect the attitudes of language academics are their computer experience, their subjective norms, and their perceived usefulness of CALLTAIL. The findings of this study indicate that subjective norms and perceived usefulness of CALLTAIL are the two factors that affect other variables in this study. The findings also indicate that all the variables in this study are interlinked and interrelated. The study recommends the optimization of language academics’ computer experience, subjective norms, and perceived usefulness of CALLTAIL. The chief contribution of this study is to have investigated the use and adoption of Computer Assisted Language Learning Tools in the context of African indigenous languages and this can be considered as a new research in comparison to the reviewed studies of this research.

Keywords: instructors, teachers, academics, attitude, Computer Assisted Language Learning