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Huinan Liu; Bo Chen; Sihui Huang; Songting Yao; Wenqi Zhao; Ziyin Li – Science & Education, 2025
The diversity of scientific methods has received widespread attention and recognition in recent years. Brandon's Matrix illustrated four categories of scientific methods, which was applied to establish the analytical framework of this study. This paper adopted content analysis to investigate how the diversity of scientific methods is represented…
Descriptors: Science Education, Chemistry, Scientific Methodology, Foreign Countries
Per Nilsson; Andreas Eckert – Mathematical Thinking and Learning: An International Journal, 2024
This study contributes to the call for influencing practice by increasing attention to how learning environments can be designed to support learning in statistical inference. We report on a design experiment in secondary school (students 14-16 years old), that resulted in a set of lessons with the learning goal of teaching students how to apply…
Descriptors: Mathematics Instruction, Teaching Methods, Hypothesis Testing, Secondary School Students
Tugba Pürsün – Journal of Educational Research, 2024
In this study, structural equation modeling was used to examine the effect of gifted students' attitudes toward reading on their reading habits and writing tendencies. The study group for this research, in which the correlational survey model was used, was formed with the convenience sampling method. The study was conducted with 134 gifted…
Descriptors: Foreign Countries, Academically Gifted, Reading Attitudes, Reading Habits
Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Paul De Boeck – Grantee Submission, 2024
Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…
Descriptors: Item Response Theory, Test Items, Models, Maximum Likelihood Statistics
Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Paul De Boeck – Journal of Educational Measurement, 2024
Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…
Descriptors: Item Response Theory, Test Items, Models, Maximum Likelihood Statistics
Lit Hong Lee – International Journal on E-Learning, 2025
This study investigates the effectiveness of a modified flipped classroom that integrated with a technology-enhanced Predict-Observe-Explain strategy to improve students' self-regulated learning abilities, learning performance and science process skills in a secondary school in Hong Kong. An experimental group of modified flipped classroom (n =…
Descriptors: Independent Study, Academic Achievement, Science Process Skills, Flipped Classroom
McMullen, Jake; Siegler, Robert S. – Mathematical Thinking and Learning: An International Journal, 2020
To test the hypothesis that a higher tendency to "s"pontaneously "f"ocus "o"n "m"ultiplicative "r"elations (SFOR) leads to improvements in rational number knowledge via more exact estimation of fractional quantities, we presented sixth graders (n = 112) with fraction number line estimations and a…
Descriptors: Fractions, Multiplication, Grade 6, Hypothesis Testing
Ludwig, Tobias; Priemer, Burkhard; Lewalter, Doris – Research in Science Education, 2021
Justifications play a central role in argumentation, which is a core topic in school science education. This paper contributes to this field of research by presenting two studies in which we assess students' justifications for supporting or rejecting hypotheses in the physics lab based on self-collected, anomalous experimental data, which are…
Descriptors: Secondary School Students, Science Process Skills, Hypothesis Testing, Physics
Ma, Wenchao; de la Torre, Jimmy – Journal of Educational and Behavioral Statistics, 2019
Solving a constructed-response item usually requires successfully performing a sequence of tasks. Each task could involve different attributes, and those required attributes may be "condensed" in various ways to produce the responses. The sequential generalized deterministic input noisy "and" gate model is a general cognitive…
Descriptors: Test Items, Cognitive Measurement, Models, Hypothesis Testing
Bosch, Nigel – Journal of Educational Data Mining, 2021
Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…
Descriptors: Accuracy, Learning Analytics, Models, National Competency Tests
Tyagi, Tarun Kumar – Creativity Research Journal, 2017
This study investigated the causal relationship between mathematical creativity and mathematical intelligence. Four hundred thirty-nine 8th-grade students, age ranged from 11 to 14 years, were included in the sample of this study by random cluster technique on which mathematical creativity and Hindi adaptation of mathematical intelligence test…
Descriptors: Creativity, Mathematics Skills, Intelligence, Grade 8
Thorsen, Cecilia; Henry, Alastair; Cliffordson, Christina – International Journal of Bilingual Education and Bilingualism, 2020
In the L2 Motivational Self System (L2MSS) motivation is conceptualized to be generated by discomfort associated with the learner's experience of a discrepancy between their current L2 self, and their ideal L2 self. However, in the L2MSS model, this discrepancy is not operationalized. A questionnaire containing measures of current L2 selves was…
Descriptors: Learning Motivation, English (Second Language), Second Language Learning, Second Language Instruction
Braithwaite, David W.; Siegler, Robert S. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Fraction arithmetic is among the most important and difficult topics children encounter in elementary and middle school mathematics. Braithwaite, Pyke, and Siegler (2017) hypothesized that difficulties learning fraction arithmetic often reflect reliance on associative knowledge--rather than understanding of mathematical concepts and procedures--to…
Descriptors: Addition, Arithmetic, Correlation, Foreign Countries
Braithwaite, David W.; Siegler, Robert S. – Grantee Submission, 2018
Fraction arithmetic is among the most important and difficult topics children encounter in elementary and middle school mathematics. Braithwaite, Pyke, and Siegler (2017) hypothesized that difficulties learning fraction arithmetic often reflect reliance on associative knowledge--rather than understanding of mathematical concepts and procedures--to…
Descriptors: Correlation, Fractions, Arithmetic, Mathematics Instruction
Grant, Anthony L. – ProQuest LLC, 2016
The purpose of this study was to collect information that could be used to explain whether supplemental educational programs are effective in improving academic progress in middle school mathematics. In addition, data were used to assess the first time success rate on the Criterion Referenced Competency Test (CRCT) for students who participated in…
Descriptors: Correlation, Supplementary Education, Middle School Students, Academic Achievement