When text datasets are very large, manually coding line by line becomes impractical. As a result, researchers sometimes try to use machine learning algorithms to automatically code text data. One of the most popular algorithms is topic modeling. For a given text dataset, a topic model provides probability distributions of words for a set of…

Coding is a process of assigning meaning to a given piece of evidence. Evidence may be found in a variety of data types, including documents, research interviews, posts from social media, conversations from learning platforms, or any source of data that may provide insights for the questions under qualitative study. In this study, we focus on text…

Every academic institution contributes to knowledge. The generated information and knowledge is to be compiled at a central place and disseminated among the society for further growth. It is observed that the generated knowledge in the academic institute is not stored or captured properly. It is also observed that many a times generated…

This paper presents a content analytic approach on doctoral dissertations in the field of distance education in Turkish Higher Education context from the years of 1986 through 2014. A total of 61 dissertations were examined to explore keywords, academic discipline, research areas, theoretical/conceptual frameworks, research designs, research…

Introduction: This paper presents a qualitative exploration of university students' experience of searching an online public access catalogue. The study investigated how students conceptualise their searching process, as well as how students understand themselves as seekers of information. Method: Following a search task, thirty-eight…

Reports results from a national study into the perceived variation reported by health information managers related to the relevance-efficiency trade-offs of information classification across regions and practice settings. Findings suggest that due to major regional variation, stringent national information standards may be counterproductive for…

Describes the Text Encoding Initiative (TEI) project and the TEI header, which documents electronic text in a standard interchange format understandable to both librarian catalogers and nonlibrarian text encoders. The form and function of the TEI header is introduced, and its relationship to the MARC record is explained. (10 references) (KRN)

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…