OpenStax Kinetic is an innovative research infrastructure that aims to transform education and learning research in the digital age. With its access to large sample sizes, authentic learning environments, experimental control, scalability, security and privacy protection, Kinetic provides an unparalleled opportunity for researchers to study the…

The State Higher Education Executive Officers Association's (SHEEO) "Communities of Practice" project builds upon SHEEO's ongoing efforts to measure the capacity and effective use of state postsecondary data systems and provides states with opportunities to develop solutions to common issues with those systems. The sixth Community of…

The automatic code generation is the process of generating source code snippets from a program, i.e., code for generating code. Its importance lies in facilitating software development, particularly important is helping in the implementation of software designs such as engineering diagrams, in such a case, automatic code generation copes with the…

Accounting for complex interactions between contextual variables and learners' individual differences in aptitudes and background requires building the means to connect and access learner data at large scales, across time, and in multiple contexts. This paper describes the ASU Learning@Scale (L@S) project to develop a digital learning network…

With the rapid development of science and technology in recent years, the application areas of fuzzy logic have also gained speed. Fuzzy logic is a frequently preferred approach in the educational process, and it can be said that scientific publications on this topic have recently gained momentum in the literature. In this context, the present…

Recently organizations have begun to realize the potential value in the huge amounts of raw, constantly fluctuating data sets that they generate and, with the help of advances in storage and processing technologies, collect. This leads to the phenomenon of big data. This data may be stored in structured format in relational database systems, but…

The aim of this study is determining academic self-efficacy beliefs of students pursuing graduate study and revealing their needs and shortcomings from the graduate education. Case study method was used and data were collected by a form developed by the researchers from 92 students receiving masters and Ph.D.'s in different programs. As a result…

This paper examines the role of Big Data Analytics in addressing contemporary challenges associated with current changes in institutions of higher education. The paper first explores the potential of Big Data Analytics to support instructors, students and policy analysts to make better evidence based decisions. Secondly, the paper presents an…

This contribution aims at (1) discussing the characteristics of collecting, filing and storing data to have a databank of oral interactions between university students whose main objective is the learning of a second language through teletandem; and (2) defining the steps for further collections and storage. Our data are Skype sessions of foreign…

Among the unique affordances of digital simulations are changes in the possibilities for targets as well as the methods of assessment, most significantly, toward integration of thinking with action, embedding of tasks-as-performance of knowledge-in-action, and unobtrusive observational methods. This paper raises and briefly defines key data…

The National Centre for Vocational Education Research (NCVER) was asked by Technical and Further Education (TAFE) Directors Australia to consider, in a discussion paper for their conference held on the Gold Coast in September 2009, how a "tertiary education" sector impacts on the way people think about research and statistics. While a…

This study describes one of possible way of usage ICT in education system. We basically treated educational system like Business Company and develop appropriate model for clustering of student population. Modern educational systems are forced to extract the most necessary and purposeful information from a large amount of available data. Clustering…

Today many data warehousing systems are data rich, but information poor. Extracting useful information from an ocean of data to support administrative, policy, and instructional decisions becomes a major challenge to both database designers and measurement specialists. This paper focuses on the development of a data processing system that…

The accuracy and reliability aspects of data integrity are discussed, with an emphasis on the need for consistency in responsibility and authority. A variety of ways in which data integrity can be compromised are discussed. The following sources of data corruption are described, and the ease or difficulty of identification and suggested actions…

The increasing cost of data collection, increasing complexity of data analysis procedures, and limited funding for educational research require greater utilization of existing data sets for multiple purposes. At the same time, the problems associated with such access to data require the development of guidelines by the profession which will both…