PREDICTING THE ADOPTION OF AN ANDROID-BASED CLASS RECORD USING THE UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY MODEL

Keywords: mobile learning, technology acceptance model, ICT in education, mobile class record

Abstract

Technology adoption is a process that is affected by many variables. To achieve innovative teaching and learning, mClassRecord, an Android-based class record application, was developed and tested. This paper is aimed at predicting the level of adoption of mClassRecord as experienced by the respondents using the Unified Theory of Acceptance and Use of Technology Model. Specifically, this article presents the qualitative analysis of mClassRecord adoption among the respondents in terms of performance expectancy, effort expectancy, attitudes toward using mClassRecord, social influence, facilitating conditions, self-efficacy, anxiety, and behavioral intention to use mClassRecord. The respondents of the study are the 17 teacher educators in higher education institutions in Central Visayas, Philippines. A semi-structured questionnaire was used, which was adapted from the model. Results show that mClassRecord is useful in the classroom. The interaction of teachers with mClassRecord is found to be clear and understandable. The positive comments from the respondents imply that the app is a good idea for teachers. Findings reveal that there is no clear indication that there is a direct influence or support from the school administration. It shows also that the teachers acquire dissimilar skills and even different levels of the same skills. The results indicate that majority of the teachers do not have fear and apprehension in using mClassRecord. Likewise, it implies that there is positive attitude and high degree of intention to use mClassRecord. The study concludes that adoption of mClassRecord is predicted at different stages. There is strong evidence that mClassRecord offers effective and efficient class recording and management. There is promising indication that the teaching tool offers an innovative contribution to teaching.

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Author Biography

Dave E. Marcial, Silliman University

PhD in Education, Associate Professor, Director for Silliman Online University Learning

 

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Published
2020-12-22
How to Cite
Marcial, D. E. (2020). PREDICTING THE ADOPTION OF AN ANDROID-BASED CLASS RECORD USING THE UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY MODEL. Information Technologies and Learning Tools, 80(6), 75-90. https://doi.org/10.33407/itlt.v80i6.3228
Section
ICT and learning tools in the higher education establishments

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