Gathering labeled data in educational data mining (EDM) is a time and cost intensive task. However, the amount of available training data directly influences the quality of predictive models. Unlabeled data, on the other hand, is readily available in high volumes from intelligent tutoring systems and massive open online courses. In this paper, we…

Educational Data Mining is an emerging discipline which seeks to develop methods to explore large amounts of data from educational settings, in order to understand students' behavior, interests and results in a better way. In recent years there have been various works related to this specialty and multiple data mining techniques derived from this…

This case study describes an experience of using constructivist grounded theory to analyze data. The project investigated how high school students improved their approaches to learning mathematics. Over 4 months, students participated in processes which supported their learning while simultaneously generating data, including interactive writing,…

Rapid advances in data-rich domains of science, technology, and business has amplified the computational challenges of "Big Data" synthesis necessary to slow the widening gap between the rate at which the data is being collected and analyzed for knowledge. This has led to the renewed need for efficient and accurate algorithms, framework,…

Purpose: The purpose of this study was to investigate the characteristics of missing physical activity (PA) data of children and youth. Method: PA data from the Chinese City Children and Youth Physical Activity Study ("N" = 2,758; 1,438 boys and 1,320 girls; aged 9-17 years old) were used for the study. After the data were sorted by the…

Sharing user information between systems is an area of interest for every field involving personalization. Recommender Systems are more advanced in this aspect than Intelligent Tutoring Systems (ITSs) and Intelligent Learning Environments (ILEs). A reason for this is that the user models of Intelligent Tutoring Systems and Intelligent Learning…

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…

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…

Two recent developments in management information system technology and higher education administration have brought about the need for this study, designed to develop a methodology for revealing a relational model of the data base that administrators are operating from currently or would like to be able to operate from in the future.…

To evaluate the accuracy of the 1970 census' occupational classification system, a comparison was made between that year's responses to census questions and the replies by the same population group to the 1972 Postcensal Manpower Survey (PMS). Each of these questionnaires relied on a different methodology; in the PMS the respondent classified…

STGPROC is a computer program designed to meet a need in the social sciences for a computing system that (1) can handle character strings of open-ended data, (2) does not require predefinition of the data, and (3) can handle variable numbers of responses per respondent. The purpose of this monograph is to allow the researcher to judge the utility…

Misunderstandings on the part of the researcher as to the computer's capability, coupled with the inability of the computer system to function efficiently, has often handicapped the research activities in computer assisted instruction (CAI). A new data system is being developed to resolve these problems. A Delete/Sort program has been designed to…

Much of what can be described as online learning research and analysis advocates the use of software not only to collect the data, for example via an application such as a virtual learning environment, but also to analyze it, using a package such as NUDIST© or NVivo©. The intention of this article is to provide an alternative method of data…

A guide to acquiring information needed about postsecondary education outcomes is presented for campus and state-level officials. Attention is directed to: over 200 outcome measures or indicators; standard definitions of each outcome measure; data sources and procedures to acquire data for each outcome measure; and suggestions concerning the…