E-learning environments can store huge amounts of data on the interaction of learners with the content, assessment and discussion. Yet, after the identification of meaningful patterns or learning behaviour in the data, it is necessary to use these patterns to improve learning environments. It is notable that designs to benefit from these patterns…

Background: Traditional survey efforts to gather outcome data at scale have significant limitations, including cost, time, and respondent burden. This pilot study explored new and innovative large-scale methods of collecting and validating data from publicly available sources. Taking advantage of emerging data science techniques, we leverage…

Information is everywhere in a hidden and scattered way. It becomes useful when we apply Data mining to extracts the hidden, meaningful, and potentially useful patterns from these vast data resources. Educational data mining ensures a quality education by analyzing educational data based on various aspects. In this paper, we have analyzed the…

The development in information science has enabled an explosive growth of data, which attracts more and more researchers to engage in the field of big data analytics. Noticeably, in many real-world applications, large amounts of data are imbalanced data since the events of interests occur infrequently. Classification of imbalanced data is an…

The most important dimension of learning is the content, and a Learning Management System (LMS) suffices this to a certain extent. The present day LMS are designed to primarily address issues like ease of use, search, content and performance. Many surveys had been conducted to identify the essential features required for the improvement of LMS,…

The usage of data mining has dramatically increased over the past few years and the education sector is leveraging this field in order to analyze and gain intuitive knowledge in terms of the vast accumulated data within its confines. The primary objective of this study is to compare the results of different classification techniques such as Naïve…

In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…

Group decision making is essential in organizations. Group Support Systems (GSS) can aide groups in making decisions by providing tools and process support. GSS is especially useful for geographically or temporally distributed groups. Researchers of GSS have pointed out that convergence processes are hard to accomplish in GSS. Voting tools in GSS…

Racial classification is a paramount concern in data collection and analysis for American Indians and Alaska Natives (AI/ANs) and has far-reaching implications in health research. We examine how different racial classifications affect survey weights and consequently change health-related indicators for the AI/AN population in California. Using a…

Five data collection methods are described: interviews of individuals, nominal group approaches, administration of questionnaires, inspection of records, and the Delphi decision making technique. A matrix is included and provides a brief description of each method, along with its choice criteria and its advantages and disadvantages. (BM)

Professionals responsible for educational research, evaluation, and statistics have sought to provide timely and useful information to decision makers. Regardless of the evaluation model, research design, or statistical methodology employed, informing the decision making process with quality, reliable data is a basic goal. The definition of…

This handbook is an effort to establish current and consistent terms, definitions, and classification codes to maintain, collect, report, and exchange comparable information about staff. This effort was coordinated by the Council of Chief State School Officers under contract to the National Center for Education Statistics. It represents the best…

Suggests ways census data in the "Statistical Abstract of the United States" may be used to develop thinking skills in economics. Presents a lesson in which students collect data on different types of work done by a small group of workers. Emphasizes the process of classifying workers in order to provide experience with this reasoning…

This study was conducted to fulfill two objectives: to gather the data necessary to define the core collection, i.e., a subset of the holdings that can be identified with reasonable assurance as being able to fulfill a certain predetermined percentage of the future demand on the present collection, and to examine the value of these data as a…

The handbooks in the Office of Education State Educational Records and Reports series have been designed to facilitate the collection and maintenance of data for decisionmaking at the local level and the reporting of educational information to others. Described first in this publication is a program structure for a local education agency which…