สารสนเทศศาสตร์

The researchers aim to explore influencing factors of teachers’ acceptance on applying information technology in classrooms from 1997-2007 as a systematic literature review. The researchers are to indicate the major and minor factors of the aforementioned. The qualitative research applied the content analysis and classification approach to reviewing the factors. This review intends to gather the proper influencing factors as dependent variables for the research phase and leads to concerns regarding technology supports and teaching and learning activities on digital platforms. Finally; the research findings would lead to the further studies concerning influencing factors of teachers’ acceptance on using IT in teaching and learning especially in social distancing contexts. The findings show that there are 3 major influencing factors found as an institutional environment; administrators’ support; and audio-visual equipment; moreover; 20 minor factors are also found.

In this article; we introduce new methods to compute the Longest Previous nonoverlapping Factor (LPnF) table. The LPnF table is the table that stores the maximal length of factors re-occurring at each position of a string without overlapping and this

This paper addresses a conceptual framework and an application of a content-based metadata scheme of classical poetry currently deployed in the Thai National Historical Corpus (TNHC). The corpus aims to collect texts representing the Thai language from different historical periods. Applying a metadata modeling approach; the variation of classical Thai poetry is analyzed in terms of components in every verse form. The compositions of wak; baat; stanza; paragraph; and chapter are identified as main elements for the conceptual framework. For theatrical works; essential elements including and tags were also implemented. TNHC selectively applied certain standard TEI encoding elements; in XML format; to describe the content structure of the poetry. This is an early attempt to develop a metadata scheme for classical Thai poetry. There are still a number of opportunities to improve the discovery and interoperability of the collection as well as to enhance the data entry process; data management; and retrieval performance of the corpus.

With the increasing of the number of digital television (TV) channels in Thailand; this becomes a problem of information overload for TV viewers. There are mass numbers of TV programs to watch but the information about these programs is poor. Therefore; this work presents a personalized recommendation system on mobile device to recommend a TV program that matches viewer’s interests and/or needs.The main mechanism of the system is content-based similarity analysis (CBSA).Initially; the viewer defines favorite programs; and then the system utilize this list as query to find their annotations on the WWW.These annotations will be used to find other programs that are similar by using CBSA.Finally; all similar programs are grouped to the same class and stored as a dataset in a personal mobile device. For the usage; if a TV program matches the interest and specified time of viewer; the system on mobile device will notify the viewer individually.