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No Child Left Behind Act 20011
Showing 1 to 15 of 93 results Save | Export
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Rahmoeller, Margaret; Steinweg, J. Megan – PRIMUS, 2022
We explored the impact a new quantitative biology course for biology majors had on their ability and confidence to utilize hypothesis testing. Students currently in the quantitative biology course and the first cohort of students who took the course (currently seniors) were surveyed on ability and confidence regarding four types of hypothesis…
Descriptors: Biology, Science Instruction, Self Esteem, Student Attitudes
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An, Chen; Braun, Henry; Walsh, Mary E. – Educational Measurement: Issues and Practice, 2018
Making causal inferences from a quasi-experiment is difficult. Sensitivity analysis approaches to address hidden selection bias thus have gained popularity. This study serves as an introduction to a simple but practical form of sensitivity analysis using Monte Carlo simulation procedures. We examine estimated treatment effects for a school-based…
Descriptors: Statistical Inference, Intervention, Program Effectiveness, Quasiexperimental Design
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Sangwin, Christopher J.; Jones, Ian – Educational Studies in Mathematics, 2017
In this paper we report the results of an experiment designed to test the hypothesis that when faced with a question involving the inverse direction of a reversible mathematical process, students solve a multiple-choice version by verifying the answers presented to them by the direct method, not by undertaking the actual inverse calculation.…
Descriptors: Mathematics Achievement, Mathematics Tests, Multiple Choice Tests, Computer Assisted Testing
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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
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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
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García-Santillán, Arturo; Martínez-Rodríguez, Valeria; Santana, Josefina C. – European Journal of Contemporary Education, 2018
The purpose of this study was to determine if there is a structure of variables that allows us to understand the level of Anxiety towards Mathematics in high school students from the municipalities of Zacatal and Jamapa, Veracruz, Mexico. This was based on the seminal works of Richardson and Suinn [1972], who developed the Mathematics Anxiety…
Descriptors: Foreign Countries, High School Students, Anxiety, Mathematics Anxiety
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Johansson, Stefan; Strietholt, Rolf – Comparative Education, 2019
With the aid of longitudinal country-level data from five IEA TIMSS assessments (1995--2011), the current study addresses the issue of the globalisation of curricula and achievement. To explore the hypothesis of global convergence, we study performance in four subdomains of mathematics. Using regression with fixed effects for countries, we…
Descriptors: Elementary Secondary Education, Foreign Countries, Mathematics Achievement, Mathematics Tests
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Osadebe, Patrick U.; Oghomena, Diakeleho-Edjere – International Education Studies, 2018
This study assessed the demographic characteristics of students' performance in Mathematics in senior secondary Certificate Examination in Delta Central Senatorial District of Delta State. The purpose of the study is to assess the relationship between gender, location, socio-economic status and students' performance in Mathematics in Senior…
Descriptors: Gender Differences, Socioeconomic Status, Academic Achievement, Foreign Countries
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Wong, Terry T.-Y.; Ho, Connie S.-H.; Tang, Joey – Journal of Learning Disabilities, 2017
Developmental dyscalculia (DD) is a specific learning disability in mathematics that affects around 6% of the population. Currently, the core deficit of DD remains unknown. While the number sense deficit hypothesis suggests that the core deficit of DD lies in the inability to represent nonsymbolic numerosity, the access deficit hypothesis suggests…
Descriptors: Learning Disabilities, Mathematics Skills, Numeracy, Low Achievement
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Liou, Pey-Yan; Wang, Cheng-Lung; Lin, John J. H. – Educational Psychology, 2019
This study aimed to examine the mediating effects of motivational beliefs in the relations between parental involvement and science achievement. Three types of motivational beliefs, namely, self-concept, intrinsic value, and utility value were addressed based on the Expectancy-Value Theory model. A representative national sample from Taiwan of…
Descriptors: Parent Participation, Student Motivation, Beliefs, Science Achievement
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Harveson, Andrew; Hannon, James; Brusseau, Timothy; Podlog, Les; Chase, Ben; Kang, Kyoung-doo – Physical Educator, 2018
The purpose of this study was to compare the acute effects of Aerobic Exercise (AE), Resistance Exercise (RE), and a nonexercise (NE) control on measures of academic achievement (AA) and cognition in 10th grade males and females. This study utilized a randomized crossover design. Tenth grade males and females performed three exercise trials (AE,…
Descriptors: Exercise, Academic Achievement, High School Students, Grade 10
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Retnowati, Endah; Ayres, Paul; Sweller, John – Journal of Educational Psychology, 2017
Worked examples and collaborative learning have both been shown to facilitate learning. However, the testing of both strategies almost exclusively has been conducted independently of each other. The main aim of the current study was to examine interactions between these 2 strategies. Two experiments (N = 182 and N = 122) were conducted with…
Descriptors: Cooperative Learning, Mathematics Instruction, Interaction, Grade 7
Cavanaugh, Gary Scott – ProQuest LLC, 2017
Research affirmed that instructional strategies that promote English Language Learners' (ELLs) Academic Language Proficiency (ALP) are essential in the primary grades for ELLs to succeed in school. This quantitative causal-comparative study relied on the premise of Vygotsky's sociocultural theory and addressed to what extent Balanced Math…
Descriptors: Elementary School Students, Elementary School Mathematics, Mathematics Instruction, Mathematics Achievement
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Kharuddin, Azrul Fazwan; Ismail, Noor Azina – EURASIA Journal of Mathematics, Science & Technology Education, 2017
Integrating technology in the mathematics curriculum has become a necessary task for curriculum developers as well as mathematics practitioners across the world and time. In general research studies seeking a better understanding of how best to integrate mathematics analysis tools with mathematics subject matter normally observe mathematics…
Descriptors: Graphing Calculators, Mathematics Instruction, Technology Uses in Education, Educational Technology
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Marsh, Herbert W.; Pekrun, Reinhard; Murayama, Kou; Arens, A. Katrin; Parker, Philip D.; Guo, Jiesi; Dicke, Theresa – Developmental Psychology, 2018
Our newly proposed integrated academic self-concept model integrates 3 major theories of academic self-concept formation and developmental perspectives into a unified conceptual and methodological framework. Relations among math self-concept (MSC), school grades, test scores, and school-level contextual effects over 6 years, from the end of…
Descriptors: Foreign Countries, Secondary School Students, Secondary School Mathematics, Mathematics Skills
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