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Durand, Guillaume; Goutte, Cyril; Léger, Serge – International Educational Data Mining Society, 2018
Knowledge tracing is a fundamental area of educational data modeling that aims at gaining a better understanding of the learning occurring in tutoring systems. Knowledge tracing models fit various parameters on observed student performance and are evaluated through several goodness of fit metrics. Fitted parameter values are of crucial interest in…
Descriptors: Error of Measurement, Models, Goodness of Fit, Predictive Validity
Ubuz, Behiye; Aydinyer, Yurdagül – International Journal of Mathematical Education in Science and Technology, 2017
The current study aimed to construct a questionnaire that measures students' personality traits related to "striving for understanding" and "learning value of geometry" and then examine its psychometric properties. Through the use of multiple methods on two independent samples of 402 and 521 middle school students, two studies…
Descriptors: Mathematics Instruction, Test Construction, Questionnaires, Personality Traits
Liu, Ran; Koedinger, Kenneth R. – International Educational Data Mining Society, 2015
A growing body of research suggests that accounting for student specific variability in educational data can improve modeling accuracy and may have implications for individualizing instruction. The Additive Factors Model (AFM), a logistic regression model used to fit educational data and discover/refine skill models of learning, contains a…
Descriptors: Models, Regression (Statistics), Learning, Classification
Goldhaber, Dan; Gratz, Trevor; Theobald, Roddy – Center for Education Data & Research, 2016
We investigate the predictive validity of teacher credential test scores for student performance in secondary STEM classrooms in Washington state. After replicating earlier findings that teacher basic skills licensure test scores are a modest and statistically significant predictor of student math test score gains in elementary grades, we focus on…
Descriptors: Predictive Validity, Tests, Licensing Examinations (Professions), Scores
Engelbrecht, Johann; Mwambakana, Jeanine – African Journal of Research in Mathematics, Science and Technology Education, 2016
The purpose of mathematics competitions, and in our case the South African Mathematics Olympiad (SAMO), is to promote problem solving skills and strategies, to generate interest and enthusiasm for mathematics and to identify the most talented mathematical minds. SAMO is organised in two divisions--a junior and a senior division--over three rounds.…
Descriptors: Mathematics Instruction, Junior High School Students, Competition, Foreign Countries
Knight, Rose; Wright, Vince – Mathematics Education Research Group of Australasia, 2014
Spatial visualisation is a subset of spatial ability and is exemplified in predicting whether or not a net will fold to form a target solid. The researchers examined video of interviews to explore the schemes of Year 5 students for determining the validity of nets for a cube and pyramid. Findings suggest the significance of imaged actions, shown…
Descriptors: Diagnostic Tests, Interviews, Visualization, Spatial Ability
Lenhard, Wolfgang; Schröppel, Daniela – Educational Research and Evaluation, 2014
Diagnostic information is a centrepiece of educational decision making. Far-reaching decisions like placements within multi-tiered school systems may have a huge long-term impact on the achieved level of education. Therefore, such decisions should be substantiated or complemented by objective and prognostically valid information. To this end, we…
Descriptors: Prediction, Academic Achievement, Self Concept, Reading Comprehension
Clarke, Ben; Nese, Joseph F. T.; Alonzo, Julie; Smith, Jean Louise M.; Tindal, Gerald; Kame'enui, Edward J.; Baker, Scott K. – Assessment for Effective Intervention, 2011
The results from a year-long study to investigate the technical features of easyCBM mathematics screening measures for first grade are presented. Measures were designed based on the National Council of Teachers of Mathematics Curriculum Focal Point standards, which for Grade 1 include (a) Number and Operations and Algebra, (b) Number and…
Descriptors: Mathematics Curriculum, Predictive Validity, Classification, Mathematics Teachers

Caldwell, James R.; And Others – Educational and Psychological Measurement, 1970
Descriptors: Algebra, Geometry, Predictive Validity, Test Construction
Hanna, Gerald S.; Lenke, Joanne M. – Sch Sci Math, 1970
Descriptors: Evaluation, Geometry, Instruction, Predictive Validity
BOE, BARBARA L. – 1966
TWO METHODS OF RESPONSE DESCRIBED BY PIAGET AND INHELDER FOR DRAWING APPROPRIATE BOUNDARIES AND SELECTING APPROPRIATE PREDRAWN BOUNDARIES FOR HYPOTHETICALLY CUT, SOLID GEOMETRIC FIGURES WERE INVESTIGATED TO SEE WHETHER SECONDARY SCHOOL STUDENTS COULD RESPOND IN APPROPRIATELY TO THE MATHEMATICAL TASKS. THE RESPONSES OF 8TH-, 10TH-, AND 12TH-GRADE…
Descriptors: Cognitive Measurement, Concept Formation, Geometry, Grade 10
Stallings, William M. – 1968
It was hypothesized that instruction in descriptive geometry produces an increase in SRT scores. The resultant data do not firmly support this hypothesis. It is suggested that this study be replicated with the use of randomly selected control groups. (MS)
Descriptors: Abstract Reasoning, Achievement Gains, College Students, Control Groups