Educational data mining focuses on exploring increasingly large-scale data from educational settings, such as Learning Management Systems (LMS), and developing computational methods to understand students' behaviors and learning settings better. There has been a multitude of research dedicated to studying the student learning process, leading to…

Introduction: In the big data age, we have to deal with a tremendous amount of information, which can be collected from various types of sources. For information search systems such as Web search engines or online digital libraries, the collection of documents becomes larger and larger. For some queries, an information search system needs to…

In this paper we describe the development and refinement of "evidence rules" and "measurement models" within the "evidence model" of the "evidence-centered design" (ECD) framework in the context of the "Packet Tracer" digital learning environment of the "Cisco Networking Academy." Using…

Excessive college course withdrawals are costly to the student and the institution in terms of time to degree completion, available classroom space, and other resources. Although generally well quantified, detailed analysis of the reasons given by students for course withdrawal is less common. To address this, a text mining analysis was performed…

Purpose: The aim of this paper is to develop a system for automatic extraction of metadata from scientific papers in PDF format for the information system for monitoring the scientific research activity of the University of Novi Sad (CRIS UNS). Design/methodology/approach: The system is based on machine learning and performs automatic extraction…

In the modern world, higher education is transitioning from enrollment mode to recruitment mode. This shift paved the way for institutional research and policy making from historical data perspective. More and more universities in the U.S. are implementing and using enterprise resource planning (ERP) systems, which collect vast amounts of data.…

The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…

Explores aspects of data fusion (DF) for information retrieval (IR) using a set of data from the Fifth International Conference on Text Retrieval (TREC5). Derives an equation for effective DF based on a geometric model and shows that the performance of a pair of IR schemes may be approximated by a quadratic polynomial. (Author/LRW)

This study proposed to develop techniques and procedures for the indexing, storing, and retrieving music education document information in a computer-assisted information retrieval system. (Authors)

The efficacy of online learning programs is tied to the suitability of the program in relation to the target audience. Based on the dataset that provides information on student enrollment, academic performance, and demographics extracted from a data warehouse of a large Southwest institution, this study explored the factors that could distinguish…

A model of a generalized information storage and retrieval system is proposed. The model consists of six subsystems (or blocks): logical processor, selector, descriptor, file, locator, document file, and analysis block. These subsystems function in a partial environment defined by the user and data blocks. Proceeding from a verbal description, a…

The purpose of this study was to explore cost-effectiveness factors that affect the choice among alternative systems. A cost-effectiveness model that may be used to evaluate potential systems was derived and a statement of the general magnitude of costs that the American Psychological Association (APA) can expect in implementing and operating…

This report describes approaches to database translation (i.e., transferring data and data definitions from a source, either a database management system (DBMS) or a batch file, to a target DBMS), and recommends a method for representing the data structures of newly-proposed network and relational data models in a form suitable for database…

Investigates applicability of inverted file processing in magnetic bubble memories by presenting four magnetic bubble memory models as storage mediums: one based on a major-minor loop configuration; one utilizing a decoder design on a magnetic bubble memory chip; and two based on different structural configurations of the first two. (MBR)

A transformational model offers a way to eliminate the middleman (programmer) in acccessing a computerized data base. It provides a basis for the algorithms which analyze the input query. The linguistic analysis of the sentence string is translated into system terms and the required operations are carried out. (28 references) (Author/NH)