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…

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…

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…

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 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…

In the first of two studies of the data processing program at Johnson County Community College (Kansas), students enrolled in data processing classes during spring 1978 were surveyed to collect basic demographic data and to obtain opinions about the program. There were approximately as many men as women enrolled and the median age was 25, slightly…

AN INFORMATION FORM ADMINISTERED TO 520 STUDENTS IN BUSINESS DATA PROCESSING CLASSES SHOWED THAT THESE STUDENTS WERE ENROLLED IN AN AVERAGE OF 1.5 SUCH CLASSES, AND THAT THEY INCLUDED MORE MEN AND STUDENTS OVER 30 YEARS OF AGE THAN THE TOTAL COLLEGE POPULATION. OVER 15 PERCENT HAD EARNED AA DEGREES OR HIGHER, AND 32 PERCENT HAD NO PREVIOUS…

This study examines the relationship of selected academic characteristics of students to their success in a two-year college program in electronic data processing. Sample selection, procedures, and findings are described together with a discussion of the results. (Author/CT)

DATA ON CHARACTERISTICS OF 324 SECOND SEMESTER FRESHMEN AT WEST VALLEY COLLEGE WERE ANALYZED BY USE OF THE "PATTERN SEARCH AND TABLE TRANSLATION TECHNIQUE". A COMPUTER WAS PROGRAMMED TO DETERMINE THE DEGREE OF RELATIONSHIP AMONG CHARACTERISTICS. THE COMPUTER PRINTOUT WAS IN THE FORM OF COMPLETE SENTENCES CONCERNING SUCH RELATIONSHIPS.…