S1-PRO5-1 - Factors that influence academics’ intention to use mobile-based assessment in Higher Education in South Pacific3. Research Full Paper
1 School of Computing, Information and Mathematical Sciences, The University of the South Pacific
2 School of Education, The University of the South Pacific
This paper presents finding of factors influencing the use of mobile-based assessments in higher education. With the growing popularity of mobile learning in higher education, there exists a potential of using mobile devices to deliver various types of assessments. The study aimed to find out factors influencing the adoption of mobile based assessments, perspectives on types of assessments suitable to deliver such assessments and challenges faced by academics and students in South Pacific in using these assessments. An online survey was created using the case study approach with a blend of quantitative and qualitative questions assisted by Technology acceptance (TAM) and unified theory of acceptance and use of technology (UTAUT) models. The factors from TAM and UTAUT considered for this study were perceived usefulness, behavioral intension to use, perceived trust and attitude by introducing output quality and social influence as external variables. The participants (n = 35) comprised of science, business and economics, arts, law, education and technical and further education academics from a higher education institute in the South Pacific. The study revealed that focusing on mobile assessment quality design and trust are the important factors for academics to accept mobile-based assessments in higher education. Furthermore, game-based, self-and peer, classroom polling, formative, adaptive and personalized assessments were the types of assessment preferred by academics to be delivered through the mobile devices. The major challenges identified for academics were connectivity, lack of skills in designing effective mobile-based assessments, lack of e-teaching pedagogy and student cheating issues. For students’ the major challenges identified by academics were internet connectivity, device availability, distractions and device competency, readability and disability issues.