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Sainan Xu; Jing Lu; Jiwei Zhang; Chun Wang; Gongjun Xu – Grantee Submission, 2024
With the growing attention on large-scale educational testing and assessment, the ability to process substantial volumes of response data becomes crucial. Current estimation methods within item response theory (IRT), despite their high precision, often pose considerable computational burdens with large-scale data, leading to reduced computational…
Descriptors: Educational Assessment, Bayesian Statistics, Statistical Inference, Item Response Theory
Vander Does, Susan Lubow – ProQuest LLC, 2012
Teachers' observations of student performance in reading are abundant and insightful but often remain internal and unarticulated. As a result, such observations are an underutilized and undervalued source of data. Given the gaps in knowledge about students' reading comprehension that exist in formal assessments, the frequent calls for teachers'…
Descriptors: Reading Instruction, Reading Comprehension, Teacher Student Relationship, Observation
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Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
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…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Guthrie, James W., Ed.; Kirst, Michael W., Ed. – 1984
The policy papers included in this package address various facets of the topic of data-based accountability for education in California. Guy Benveniste of the University of California, Berkeley, School of Education explores the underlying issue of accountability and describes the implications of different types of accountability measures. In…
Descriptors: Accountability, Data Collection, Data Processing, Educational Assessment
Poynor, Lee – 1974
The basic concepts, practices, and considerations in assessment are outlined in order to provide the reader with a beginning knowledge of assessment techniques and procedures. Discussion includes the goals of assessment, types of tests, criteria for instrument selection, test construction, data collection procedures, and statistical analysis of…
Descriptors: Data Collection, Data Processing, Educational Assessment, Elementary Secondary Education
Copa, George; Irvin, Donald – 1973
The report presents the results of a pilot test of a procedure for conducting a school-directed assessment of former high school students to obtain information about their educational and employment activities. Criteria for the assessment procedure were: provide information useful in assisting local school personnel in planning and evaluation; be…
Descriptors: Data Collection, Data Processing, Dropouts, Educational Assessment
Pyecha, John N. – 1973
The proposed program represents a vehicle whereby Minnesota can conduct a comprehensive assessment of the State's educational progress. It can provide a means of periodically monitoring achievement in the cognitive, affective, and psychomotor domains. The program is modeled after the National Assessment of Education Progress (NAEP), an ongoing…
Descriptors: Academic Achievement, Administration, Data Analysis, Data Collection
Byrn, Darcie; And Others – 1967
The authors have written this manual to aid workers in the Cooperative Extension Service of the United States to be better able to understand and apply the principles and methods of evaluation. The manual contains three sections which cover the nature and place of evaluation in extension work, the evaluation process, and the uses of evaluation…
Descriptors: Data Analysis, Data Collection, Data Processing, Educational Assessment
Lenning, Oscar T.; And Others – 1979
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…
Descriptors: Classification, College Attendance, College Graduates, Cultural Enrichment
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers