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Showing 1 to 15 of 23 results Save | Export
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Sahin, Muhittin; Ulucan, Aydin; Yurdugül, Halil – Education and Information Technologies, 2021
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…
Descriptors: Electronic Learning, Data Collection, Decision Making, Evaluation Criteria
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Brandon Sepulvado; Jennifer Hamilton – Society for Research on Educational Effectiveness, 2021
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…
Descriptors: Automation, Data Collection, Data Analysis, Validity
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Nahar, Khaledun; Shova, Boishakhe Islam; Ria, Tahmina; Rashid, Humayara Binte; Islam, A. H. M. Saiful – Education and Information Technologies, 2021
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…
Descriptors: Learning Analytics, College Students, Engineering Education, Data Collection
Yan, Yilin – ProQuest LLC, 2018
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…
Descriptors: Information Science, Information Retrieval, Multimedia Materials, Data
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Sabitha, Sai; Mehrotra, Deepti; Bansal, Abhay – Electronic Journal of e-Learning, 2015
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,…
Descriptors: Convergent Thinking, Management Systems, Integrated Learning Systems, Knowledge Management
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Maaliw, Renato R. III; Ballera, Melvin A. – International Association for Development of the Information Society, 2017
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…
Descriptors: Classification, Cognitive Style, Electronic Learning, Decision Making
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Martínez Abad, Fernando; Chaparro Caso López, Alicia A. – School Effectiveness and School Improvement, 2017
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,…
Descriptors: Foreign Countries, Data Collection, Statistical Analysis, Evaluation Methods
Cheng, Kung-E – ProQuest LLC, 2009
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…
Descriptors: Voting, Group Unity, Decision Making, Researchers
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Lee, Sunghee; Satter, Delight E.; Ponce, Ninez A. – American Indian and Alaska Native Mental Health Research: The Journal of the National Center, 2009
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…
Descriptors: Race, American Indians, Alaska Natives, Classification
Bramson, Robert; Parlette, Nicholas – Personnel Journal, 1978
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)
Descriptors: Classification, Data Collection, Decision Making, Evaluation Methods
Ligon, Glynn D. – 1996
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…
Descriptors: Classification, Data Collection, Decision Making, Educational Research
National Center for Education Statistics (ED), Washington, DC. – 1995
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…
Descriptors: Classification, Cost Effectiveness, Data Analysis, Data Collection
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Symmes, S. Stowell – Social Education, 1989
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…
Descriptors: Census Figures, Classification, Data Collection, Decision Making
Schwarz, Philip; Olson, Linda – 1981
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…
Descriptors: Classification, College Libraries, Data Analysis, Data Collection
Roberts, Charles T. – 1974
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…
Descriptors: Administrator Guides, Classification, Data Collection, Decision Making
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