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Lazonder, Ard W.; Harmsen, Ruth – Review of Educational Research, 2016
Research has consistently shown that inquiry-based learning can be more effective than other, more expository instructional approaches as long as students are supported adequately. But what type of guidance is adequate, and for whom? These questions are difficult to answer as most previous research has only focused on one type of guidance and one…
Descriptors: Meta Analysis, Active Learning, Inquiry, Guidance
Schochet, Peter Z.; Chiang, Hanley S. – Journal of Educational and Behavioral Statistics, 2013
This article addresses likely error rates for measuring teacher and school performance in the upper elementary grades using value-added models applied to student test score gain data. Using a realistic performance measurement system scheme based on hypothesis testing, the authors develop error rate formulas based on ordinary least squares and…
Descriptors: Classification, Measurement, Elementary School Teachers, Elementary Schools
Renshaw, Tyler L.; Eklund, Katie; Dowdy, Erin; Jimerson, Shane R.; Hart, Shelley R.; Earhart, James, Jr.; Jones, Camille N. – California School Psychologist, 2009
Universal screening of emotional and behavioral problems among students warrants further consideration by school professionals. School-based universal screening may provide opportunities for early identification and intervention, ultimately preventing the development of more severe problems and promoting more positive outcomes in the future. The…
Descriptors: Screening Tests, Test Validity, Disability Identification, Scores
Peer reviewedGeisler, Charles C. – Rural Sociology, 1977
A study of 1,423 respondents in northwest Wisconsin shows that age, education, and place of residence appear to account for the variation in environmental concern, with no significant remaining effect accounted for by any of the types of recreation considered by Dunlap and Heffernan in their 1975 study. (Author/JC)
Descriptors: Academic Achievement, Age Differences, Classification, Conservation (Environment)
Smith, I. Leon – 1972
The purpose of this investigation was to test two hypotheses concerning the ability of taxonomic tests of cognitive processes to differentiate the performance of students from varying educational environments in an effort to shed additional light on the construct validity of Bloom's Taxonomy. (Author)
Descriptors: Academic Achievement, Classification, Cognitive Processes, Cognitive Tests
Murray, Norman B. – 1971
Evaluation of an individual's progress in an academic or training program requires evaluation of his achievement of a collection of behavioral objectives. The nature of the terminal behavior often imposes a hierarchy on the enabling and entering behaviors that can be used to lend additional meaning to classification of the learner's performance,…
Descriptors: Academic Achievement, Behavioral Objectives, Classification, Evaluation Criteria
Otto, Henry J.; And Others – 1969
Nongradedness is a type of internal organization for a school that groups students on the basis of an intergrade plane. This approach attempts to adapt instruction to individual differences. Grouping principles include physical factors, social maturity and personality factors, mental maturity, academic status, and teacher personality within the…
Descriptors: Academic Achievement, Anxiety, Arithmetic, Bibliographies
STEERE, BOB F. – 1967
THE EFFECTIVENESS OF A NONGRADED HIGH SCHOOL WAS COMPARED WITH THAT OF A TRADITIONALLY GRADED HIGH SCHOOL IN THE SAME CITY BY ADMINISTERING TESTS AND RELATED EVALUATION METHODS TO A RANDOMLY SELECTED SAMPLE GROUP OF 141 TENTH-YEAR STUDENTS AT EACH OF THE SCHOOLS. SIX STUDENT GROUPS FOR EACH SCHOOL (DISTINGUISHED BY SEX AND ABILITY LEVEL) WERE USED…
Descriptors: Ability Grouping, Academic Achievement, Achievement Tests, Classification
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection

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