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Fraillon, Julian; Ainley, John; Schulz, Wolfram; Duckworth, Daniel; Friedman, Tim – International Association for the Evaluation of Educational Achievement, 2019
The primary purpose of International Computer and Information Literacy Study (ICILS) 2018 is to assess systematically the capacities of students to use ICT productively for a range of different purposes, in ways that go beyond a basic use of ICT. ICILS 2018 includes authentic computer-based assessments that are administered to students in their…
Descriptors: International Assessment, Computer Literacy, Information Literacy, Computer Attitudes
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Means, Barbara M., Ed.; Stephens, Amy, Ed. – National Academies Press, 2021
Computing in some form touches nearly every aspect of day to day life and is reflected in the ubiquitous use of cell phones, the expansion of automation into many industries, and the vast amounts of data that are routinely gathered about people's health, education, and buying habits. Computing is now a part of nearly every occupation, not only…
Descriptors: Computation, Computer Uses in Education, Computer Science, Computer Science Education
Munn, Carol A. – ProQuest LLC, 2020
This research study explored robotics as the catalyst for computational thinking (CT) by sixth-grade students as they are engaged in a science lesson. The interactions, understandings, and applications are discussed, along with the participants' connections and implementations of CT concepts (decomposition, abstraction, pattern recognition, and…
Descriptors: Robotics, Grade 6, Units of Study, Science Instruction
Danielle Marie Cadieux Boulden – ProQuest LLC, 2020
The integration of computational thinking (CT) and computer science (CS) into formal K-12 learning experiences are critical for students to be competent 21st Century problem solvers. Building student competency with these areas is dependent upon educators who have the pedagogical content expertise to integrate CT and CS within their disciplines…
Descriptors: Capacity Building, Computation, Thinking Skills, Computer Science Education
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Herzog, Serge – New Directions for Institutional Research, 2014
Estimating the effect of campus math tutoring support, this study demonstrates the use of propensity score weighted and matched-data analysis and examines the correspondence with results from parametric regression analysis.
Descriptors: Probability, College Mathematics, Tutoring, Data Analysis
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Bates, Michael David; Castellano, Katherine E.; Rabe-Hesketh, Sophia; Skrondal, Anders – Journal of Educational and Behavioral Statistics, 2014
This article discusses estimation of multilevel/hierarchical linear models that include cluster-level random intercepts and random slopes. Viewing the models as structural, the random intercepts and slopes represent the effects of omitted cluster-level covariates that may be correlated with included covariates. The resulting correlations between…
Descriptors: Correlation, Hierarchical Linear Modeling, Regression (Statistics), Statistical Bias
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Smith, William C. – Practical Assessment, Research & Evaluation, 2014
The ability of regression discontinuity (RD) designs to provide an unbiased treatment effect while overcoming the ethical concerns plagued by Random Control Trials (RCTs) make it a valuable and useful approach in education evaluation. RD is the only explicitly recognized quasi-experimental approach identified by the Institute of Education…
Descriptors: Computation, Regression (Statistics), Statistical Bias, Quasiexperimental Design
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Hedges, Larry V.; Borenstein, Michael – Journal of Educational and Behavioral Statistics, 2014
The precision of estimates of treatment effects in multilevel experiments depends on the sample sizes chosen at each level. It is often desirable to choose sample sizes at each level to obtain the smallest variance for a fixed total cost, that is, to obtain optimal sample allocation. This article extends previous results on optimal allocation to…
Descriptors: Experiments, Research Design, Sample Size, Correlation
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Leak, Anne E.; Santos, Zackary; Reiter, Erik; Zwickl, Benjamin M.; Martin, Kelly Norris – Physical Review Physics Education Research, 2018
To prepare physics students for future careers, educators need to understand the skills and other factors necessary for entry and success on the job. Often these insights are based on CEOs, HR personnel, and managers, who provide broad perspectives regarding successful attributes of new hires. However, such insights are often more general and…
Descriptors: Optics, Success, Performance Factors, Influences
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Gibbs, Anna S.; Hinton, Vanessa M.; Flores, Margaret M. – Preventing School Failure, 2018
Children who struggle in mathematics have a limited understanding of the foundational processes of mathematics. A lack of conceptual understanding causes students to fall behind as they progress through the core curriculum. Children at high risk for developing mathematics disabilities fail to gain numeracy knowledge. The purpose of this case study…
Descriptors: Mathematics Instruction, Case Studies, Disabilities, Computation
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Monks, Lisa; Chick, Helen – Australian Primary Mathematics Classroom, 2018
Fitness trackers can provide primary students with exciting opportunities to calculate, measure time and distance, graph, make sense of data, and improve their activity levels. This article suggests ways to use fitness trackers in the classroom.
Descriptors: Physical Fitness, Measurement Equipment, Elementary School Mathematics, Elementary School Students
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Whitacre, Ian; Rumsey, Chepina – Cognition and Instruction, 2018
This article contributes to the research literature concerning prospective elementary teachers' mathematical thinking and learning with a focus on flexibility. We present a case study of a prospective elementary teachers' development of flexibility in mental addition and subtraction during a Number and Operations course. Building upon the…
Descriptors: Mathematics Instruction, Social Influences, Preservice Teachers, Elementary Education
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Psacharopoulos, George; Patrinos, Harry Anthony – Education Economics, 2018
In the 60-plus year history of returns to investment in education estimates, there have been several compilations in the literature. This paper updates Psacharopoulos and Patrinos and reviews the latest trends and patterns based on 1120 estimates in 139 countries from 1950 to 2014. The private average global return to a year of schooling is 9% a…
Descriptors: Outcomes of Education, Educational Trends, Computation, Income
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Semushin, I. V.; Tsyganova, J. V.; Ugarov, V. V.; Afanasova, A. I. – European Journal of Engineering Education, 2018
Russian higher education institutions' tradition of teaching large-enrolled classes is impairing student striving for individual prominence, one-upmanship, and hopes for originality. Intending to converting these drawbacks into benefits, a Project-Centred Education Model (PCEM) has been introduced to deliver Computational Mathematics and…
Descriptors: Student Projects, Engineering Education, Active Learning, Teaching Methods
Gobert, Janice D.; Moussavi, Raha; Li, Haiying; Sao Pedro, Michael; Dickler, Rachel – Grantee Submission, 2018
This chapter addresses students' data interpretation, a key NGSS inquiry practice, with which students have several different types of difficulties. In this work, we unpack the difficulties associated with data interpretation from those associated with warranting claims. We do this within the context of Inq-ITS (Inquiry Intelligent Tutoring…
Descriptors: Scaffolding (Teaching Technique), Data Interpretation, Intelligent Tutoring Systems, Science Instruction
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