LAUSR

Papers in this issue of EAIT come from researchers in the following countries: Fiji, India, Australia, Turkey, Nigeria, Colombia, Ireland, South Korea, Cyprus, Morocco, Ghana, Greece, Croatia, USA, France, South Africa, Malaysia, Oman, Saudi Arabia, China, Egypt, UK, Canada, Sweden, Kuwait,0020Germany and Iran. In order to reduce the number of papers waiting in Online First, this is another large issue with forty-three regular papers and an additional two in a Special Section onBCreative Online Collaboration — a Special Challenge for Co-Creation^. BICT integration in Fiji schools: A case of in-service teachers^ by Sangeeta Nath (National University, Lautoka, Fiji Islands) begins this issue. The term ‘In-Service Teachers’ in this article refers to full-time teachers studying part-time in teacher training institutes. The study examined these teachers’ experiences in ICT integration in the school curriculum, and their perceptions of the barriers that prevent teachers from using ICT in the classroom. Findings indicated that the majority of the teachers do not have an ICT background but are able to use technology in their everyday lives and for mandatory record keeping purposes. Barriers such as limited access to computers, lack of funding, sporadic electricity and lack of ICT related polices and training often limit successful integration of ICT in the curriculum. Next, Rakesh Patra and Sujan Kumar Saha (Birla Institute of Technology, India) offer: BA hybrid approach for automatic generation of named entity distractors for multiple choice questions^. They note that assessment plays an important role in learning and that Multiple Choice Questions (MCQs) are quite popular in large-scale evaluations. Automatic MCQ generation has become increasingly popular in the last two decades, but despite a large amount of research, system generated MCQs are not useful in real educational applications because of their inability to produce diverse and human-alike distractors. In this paper they present a method for automatic generation of named entity distractors using a combination of statistical and semantic similarities and an evaluation strategy along with a set of metrics. The paper that follows: BDesign of a mobile-based learning management system for incorporating employment demands: Case context of an Australian University^ is Education and Information Technologies (2019) 24:953–962 https://doi.org/10.1007/s10639-019-09874-7