Many organizations have to adapt to the speed of digital transformation era, namely to accommodate this rapid change. As for educational organization, technologies could support learning, information searching, communication between learners and teachers. It is an important tool to change the learning method from traditional approach that occurs only within the university to online learning that is unlimited to places and times, as a virtual classroom. Especially during the COVID-19 pandemic in the past, many countries have adopted technology to use in teaching and learning. This paper presents a virtual classroom model with Task-Technology Fit to assess the acceptance of the use of appropriate technology in teaching and learning and consider the social influence factors affecting online learning style as well.

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Location estimation of a photo is the method to find the location where the photo was taken that is a new branch of image retrieval. Since a large number of photos are shared on the social multimedia. Some photos are without geo-tagging which can be estimated their location with the help of million geo-tagged photos from the social multimedia. Recent researches about the location estimation of a photo are available. However, most of them are neglectful to define the uniqueness of one place that is able to be totally distinguished from other places. In this paper, we design a workflow named G-sigMR (Geo-signature MapReduce) for the improvement of recognition performance. Our workflow generates the uniqueness of a location named Geo-signature which is summarized from the visual synonyms with the MapReduce structure for indexing to the large-scale dataset. In light of the validity for image retrieval, our G-sigMR was quantitatively evaluated using the standard benchmark specific for location estimation; to compare with other well-known approaches (IM2GPS, SC, CS, MSER, VSA and VCG) in term of average recognition rate. From the results, G-sigMR outperformed previous approaches.

End-User Training (EUT) is a method used for learning information systems or applications and improving those skills to become more effective. In order for organizations to provide effective EUT programs, several concerns in the design of EUT need to be considered. The objective of this study is to undertake a systematic literature review to determine the effectiveness of End-User Training, factors, and measurement of the effectiveness of EUT. The review analyzes 50 studies identified for primary studies from academic digital libraries published between 2003 and 2013. The results of this study showed that factors influencing EUT can be categorized into seven categories, which are organizational, individual difference, training methods, learning techniques, learning process and interaction, immediate learning outcomes, and long-term learning outcomes. Therefore, the future research should consider these factors that may impact the EUT before designing and developing effective EUT programs.

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