Analyses of student data in post-secondary education should be sensitive to the fact that there are many different topics of study. These different areas will interest different kinds of students, and entail different experiences and learning activities. However, it can be challenging to identify the distinct academic themes that students might…

The intellectual origins of information organization (IO) as a field of study are examined by tracing the use of the terms, "information organization", "knowledge organization", "bibliographic control", and their variants, and by surveying the educational texts dealing with the various component activities of IO,…

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…

Education researchers have traditionally faced severe data limitations in studying local policy variation; administrative data sets capture only a fraction of districts' policy decisions, and it can be expensive to collect more nuanced implementation data from teachers and leaders. Natural language processing and web-scraping techniques can help…

Education researchers have traditionally faced severe data limitations in studying local policy variation; administrative datasets capture only a fraction of districts' policy decisions, and it can be expensive to collect more nuanced implementation data from teachers and leaders. Natural language processing and web-scraping techniques can help…

Data mining methods for classification and regression are becoming increasingly popular in various scientific fields. However, these methods have not been explored much in educational measurement. This module first provides a review, which should be accessible to a wide audience in education measurement, of some of these methods. The module then…

Since 1980s the rate of technological change has been phenomenal, creating an impact on the information-seeking behaviors of doctoral students and other researchers. When searching the three fields of Information Technology (IT), Information and Communication Technology (ICT), and Educational Technology (EdTech), it is like opening a Pandora's…

Purpose: The need of tools for content analysis, information extraction and retrieval of multimedia objects in their native form is strongly emphasized into the judicial domain: digital videos represent a fundamental informative source of events occurring during judicial proceedings that should be stored, organized and retrieved in short time and…

Within the landscape of educational data, textual natural language is an increasingly vast source of learning-centered interactions. In natural language dialogue, student contributions hold important information about knowledge and goals. Automatically modeling the dialogue act of these student utterances is crucial for scaling natural language…

This paper describes a procedure to manage connotations, so that they may be identified in the document databases of television channels. The system is based on Ranganathan's facets, as this is the best tool to describe actions--i.e. the units analysed in television--which enable the identification of the connoted information by introducing or…

The purposes of this paper are to outline seven types of qualitative data analysis techniques, to present step-by-step guidance for conducting these analyses via a computer-assisted qualitative data analysis software program (i.e., NVivo9), and to present screenshots of the data analysis process. Specifically, the following seven analyses are…

The availability and use of computers in teaching has seen an increase in the rate of plagiarism among students because of the wide availability of electronic texts online. While computer tools that have appeared in recent years are capable of detecting simple forms of plagiarism, such as copy-paste, a number of recent research studies devoted to…

Classifies information-retrieval applications into three groups depending on the correspondence between a user's request and the queries posed to the document base. Argues that the mapping of requests, on a semantic level, to formalized queries, on a lexical level, determines the range of retrieval effectiveness. (Author/LRW)

Describes the design of a classification scheme for reusable software and the implementation of an information retrieval system for reusable software using the SMART system. Highlights include a review of other systems for reusable software; system design; reorganization of software documentation; and system testing, including recall and…

Examines historical and current difficulties in information retrieval, including the tendency of technology, because of the problems of scale and distribution, to make information invisible to users. Attempts to organize networked resources are described, and serendipity is proposed as a model for future retrieval. (two references) (MES)