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Journal . 2025
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The Evaluation of User Acceptance of an Iban Digital Story Telling (IDST) Application Among Iban Language Teachers

Authors: Aslina Saad; Kenneth Robin; Saira Banu Omar Khan; Nor Hasbiah Ubaidullah;

The Evaluation of User Acceptance of an Iban Digital Story Telling (IDST) Application Among Iban Language Teachers

Abstract

The subject of Iban language for Year One’s students is taught with elements of children's story. However, a preliminary investigation found that the current approach in teaching this subject using a textbook and audio narration is not efficacious. Thus, an Iban Digital Story Telling (IDST) application was developed to assist teachers in teaching Iban language. The aim of this study is to examine the acceptance of DST application in terms of ease of use and usefulness among teachers who teach Iban language in several primary schools. The study used a qualitative approach based on interviews involving 10 teachers, who were recruited from several primary schools in Sarawak, Malaysia. The analysis of qualitative data showed that all teachers rated the usefulness and ease of use of the IDST application to be high, which together helped them to teach the subject matter with more efficacy. Given these promising results, such a novel learning application can be used as an alternative teaching tool to further improve the current practice of teaching Iban language to primary school children. 

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
gold