Publication Date
In 2025 | 130 |
Since 2024 | 547 |
Since 2021 (last 5 years) | 1850 |
Since 2016 (last 10 years) | 3663 |
Since 2006 (last 20 years) | 7473 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
Practitioners | 824 |
Teachers | 819 |
Researchers | 200 |
Students | 116 |
Policymakers | 43 |
Administrators | 34 |
Parents | 26 |
Community | 6 |
Counselors | 3 |
Media Staff | 2 |
Location
Australia | 214 |
Turkey | 136 |
United States | 112 |
China | 104 |
Canada | 102 |
United Kingdom | 78 |
California | 66 |
Taiwan | 66 |
United Kingdom (England) | 65 |
Germany | 63 |
Florida | 62 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Meets WWC Standards without Reservations | 15 |
Meets WWC Standards with or without Reservations | 22 |
Does not meet standards | 6 |
Deep Learning Based Imbalanced Data Classification and Information Retrieval for Multimedia Big Data
Yan, Yilin – ProQuest LLC, 2018
The development in information science has enabled an explosive growth of data, which attracts more and more researchers to engage in the field of big data analytics. Noticeably, in many real-world applications, large amounts of data are imbalanced data since the events of interests occur infrequently. Classification of imbalanced data is an…
Descriptors: Information Science, Information Retrieval, Multimedia Materials, Data
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
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
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
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
Kapucu, Serkan – Physics Education, 2017
This study aims to demonstrate how the average speed of a light-emitting toy car may be determined using a smartphone's light sensor. The freely available Android smartphone application, "AndroSensor," was used for the experiment. The classroom experiment combines complementary physics knowledge of optics and kinematics to find the…
Descriptors: Toys, Telecommunications, Handheld Devices, Educational Technology
Camrud, Evan; Turner, Daniel B. – Journal of Chemical Education, 2017
Numerous computational and spectroscopic studies have demonstrated the decisive role played by nonadiabatic coupling in photochemical reactions. Nonadiabatic coupling drives photochemistry when potential energy surfaces are nearly degenerate at avoided crossings or truly degenerate at unavoided crossings. The dynamics induced by nonadiabatic…
Descriptors: Chemistry, Science Instruction, College Science, Graduate Study
Kim, Dan; Opfer, John E. – Developmental Psychology, 2017
Representations of numerical value have been assessed by using bounded (e.g., 0-1,000) and unbounded (e.g., 0-?) number-line tasks, with considerable debate regarding whether 1 or both tasks elicit unique cognitive strategies (e.g., addition or subtraction) and require unique cognitive models. To test this, we examined how well a mixed log-linear…
Descriptors: Computation, Numbers, Children, Cognitive Development
Fröberg, Andreas; Berg, Christina; Larsson, Christel; Boldemann, Cecilia; Raustorp, Anders – Measurement in Physical Education and Exercise Science, 2017
The purpose of the current study was to investigate how combinations of different epoch durations and cut-points affect the estimations of sedentary time and physical activity in adolescents. Accelerometer data from 101 adolescents were derived and 30 combinations were used to estimate sedentary time, light, moderate, vigorous, and combined…
Descriptors: Physical Activity Level, Life Style, Measurement Equipment, Foreign Countries
Finesilver, Carla – Oxford Review of Education, 2017
There are many potential ways to represent arithmetical tasks, but students' choices may be limited by beliefs that only certain standardised representations are "legitimate" in school mathematics. Furthermore, concern for the quantity and speed of "work done" can override opportunities for meaningful engagement with the…
Descriptors: Low Achievement, Arithmetic, Mathematics Achievement, Logical Thinking
Blackwell, Matthew; Honaker, James; King, Gary – Sociological Methods & Research, 2017
Although social scientists devote considerable effort to mitigating measurement error during data collection, they often ignore the issue during data analysis. And although many statistical methods have been proposed for reducing measurement error-induced biases, few have been widely used because of implausible assumptions, high levels of model…
Descriptors: Error of Measurement, Monte Carlo Methods, Data Collection, Simulation
Bell, Edward C.; Fike, David S.; Liang, Dong; Lockman, Paul R.; McCall, Kenneth L. – Education and Information Technologies, 2017
Computer module intervention is the process of exposing students to a series of discrete exercises for the purpose of strengthening students' familiarity with conceptual material. The method has been suggested as a remedy to student under-preparedness. This study was conducted to determine the effectiveness of module intervention in improving and…
Descriptors: Computer Uses in Education, Educational Technology, Computation, Pharmaceutical Education
Frank, David J.; Macnamara, Brooke N. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
Performance on verbal and mathematical tasks is enhanced when participants shift from using algorithms to retrieving information directly from memory (Siegler, 1988a). However, it is unknown whether a shift to retrieval is involved in dynamic spatial skill acquisition. For example, do athletes mentally extrapolate the trajectory of the ball, or do…
Descriptors: Skill Development, Spatial Ability, Mathematics, Mental Computation
Abramovich, Sergei; Nikitin, Yakov Yu. – Computers in the Schools, 2017
This article is written to share teaching ideas about using commonly available computer applications--a spreadsheet, "The Geometer's Sketchpad", and "Wolfram Alpha"--to explore three classic and historically significant problems from the probability theory. These ideas stem from the authors' work with prospective economists,…
Descriptors: Probability, Mathematics Instruction, Spreadsheets, Computer Assisted Instruction
Guo, Hongwen – ETS Research Report Series, 2017
Data collected from online learning and tutoring systems for individual students showed strong autocorrelation or dependence because of content connection, knowledge-based dependency, or persistence of learning behavior. When the response data show little dependence or negative autocorrelations for individual students, it is suspected that…
Descriptors: Data Collection, Electronic Learning, Intelligent Tutoring Systems, Information Utilization