Attitude Towards Intention to Use Mobile-Based Teaching Assessment Based on TAM and a Novel Extended TAM Model

Abdirahman A. A. , Jabar M. A. , Hashi A. O. , Elmi M. A. , Rodriguez O. E. R.

6th International Conference of Reliable Information and Communication Technology (IRICT), ELECTR NETWORK, 22 - 23 December 2021, vol.127, pp.583-593 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 127
  • Doi Number: 10.1007/978-3-030-98741-1_48
  • Page Numbers: pp.583-593
  • Keywords: Partial least squares, Technology acceptance model, Mobile assessment in mobile devices, COMPUTER-BASED ASSESSMENT, BEHAVIORAL INTENTION, ACCEPTANCE, TECHNOLOGY


In recent years the combination of a rapid development in mobile technology and the pandemic scenario in which currently the world is still in, have caused an increasing demand for online systems that can replace the traditional methods in a variety of areas. For instance, the rising usage of e-learning and e-health are evidence of this reality. Consequently, Mobile Based Teaching Assessment (MBTA) has become the ideal candidate to replace traditional classroom evaluation. The intention of end users to use MBTA as an alternative to traditional evaluation is the main indicator of its adoption in a regular basis. This study has two main goals, the first one is to use the Technology Acceptance Model (TAM) to evaluate how people's feelings towards the usage of MBTA, the second goal is to propose an extended TAM that incorporates intrinsic motivation to the traditionally extrinsic regular TAM. Partially least squares (PLS) were used in this study, and data was gathered from 75 students and academic support personnel using a simple sampling technique, as well as structural model to evaluate the proposed model. Based on the findings of this research, the attitude of individuals directly influences their desire to use MBTA. Along with that, individual's attitude is influenced by a variety of factors, this is more evident in the extended TAM proposed. Despite the indications achieved with TAM regarding the implementation of mobile-based teaching assessment in an academic context, the claimed user attitude explains 75% of the variance in user intention towards MBTA. The importance of the suggested paradigm, as well as the accuracy of the extended TAM proposed, is shown in the results of this work.