A Model of Adaptive Assessment for Mobile Learning in an Open and Distance Education University of Pakistan

Abstract

The use of technology has become inevitable in every field of life including the education. The distance learning is also shaping towards smart online learning, therefore, posing many challenges of content development and delivery through the smart devices. One of the challenges is the development of adaptive assessment for anytime and anywhere mobile learning. The COVID-19 has posed an extra requirement of reshaping pedagogies on hand-held devices. The current study takes up these challenges and proposes a model of adaptive assessment for mobile learning. The Item Response Theory has been employed to estimate the learning ability and tailor a personalized learning trajectory. The model was implemented on a bachelor level course offered by an open university of Pakistan. A mobile application was developed and one hundred and eighteen students were enrolled. They used the app in addition to other traditional activities for a duration of one semester. The result of final examination of adaptive batch was compared with the previous same course offered through the traditional distant learning mode. The result showed sizeable improvement in the knowledge level of the distant learners. This research opens up an avenue of anywhere and anytime learning through the use of smart devices. It can help policymakers, educationists and technologists to align their online learning practices during the current pandemic.