Demographic features are commonly used in Educational Data Mining (EDM) research to predict at-risk students. Yet, the practice of using demographic features has to be considered extremely problematic due to the data's sensitive nature, but also because (historic and representation) biases likely exist in the training data, which leads to strong…

New forms of visualizations are transforming how people interact with data. This dissertation explored how undergraduates learn with infographics. The following questions guided this research: (i) What do we know about the factors influencing the processing of data visualizations? (ii) How do task-level and learner-level characteristics impact the…

Purpose: In this paper, the challenging and thorny issue of assessing graduate attributes (GAs) is addressed. An interdisciplinary team at The University of Alberta -- developed a formative model of assessment centered on students and instructor interaction with course content. Design/methodology/approach: The paper starts by laying the…

Certain stereotypes can be associated with people from different countries. For example, the Italians are expected to be emotional, the Germans functional, and the Chinese hard-working. In this study, we cluster all 15-year-old students representing the 68 different nations and territories that participated in the latest Programme for…

Learner categorization has a pivotal role in making e-learning systems a success. However, learner characteristics exploited at abstract level of granularity by contemporary techniques cannot categorize the learners effectively. In this paper, an architecture of e-learning framework has been presented that exploits the machine learning based…

An underlying theme of this paper is that it can be easier and more efficient to conduct valid and effective research studies in online environments than in traditional classrooms. Taking advantage of the "big data" available in an online university, we conducted a study in which a massive online database was used to predict student…

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…

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…

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…

THE AIM OF THIS STUDY WAS TO DEVELOP, DEMONSTRATE, AND EVALUATE THE FEASIBILITY OF A PARTICULAR MODEL FOR A STUDENT ACCOUNTING SYSTEM AT THE UNIVERSITY OF TEXAS, INCORPORATING PREVIOUSLY COLLECTED INFORMATION PLUS ADDITIONAL QUESTIONNAIRE DATA FROM STUDENTS. A CENTRAL DATA BANK WAS ESTABLISHED TO INCLUDE (1) THE ACADEMIC RECORD OF THE STUDENT…

This document contains a design for creating an educational data bank of pupil personnel information. The specific information that should be collected and maintained in such an updatable data bank is described in detail. The document provides instructions on interpretation of this data for (1) predicting approximate percentages of students who…

This user's manual has been produced to familiarize data users with the procedures followed for data collection and processing of the first follow-up teacher component of the National Education Longitudinal Study of 1988 (NELS:88). The teacher component provides teacher information that can be used to analyze the behaviors and outcomes of the…

This Users Manual is the supporting documentation for the Public Use Data File from the National Longitudinal Study of the High School Class of 1972 (NLS). The data file contains certain merged data from the base year (1972), and first, second, and third follow-up NLS surveys for 22,652 cases. This volume contains only appendices K through Q, as…

This report supplies details of the design and data analysis of the 1986 National Assessment of Educational Progress (NAEP) to allow the reader to judge the utility of the design, data quality, reasonableness of assumptions, appropriateness of data analyses, and generalizability of inferences made from the data. After an introduction by A. E.…

Instructions for using the computerized Canadian University Student Information System created by Statistics Canada are presented in this manual. The data base includes information on all students registered in Canadian universities, affiliates, and degree-granting colleges. A complete list of all available data elements and column headings that…