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Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Interactive Learning Environments, 2024
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2023
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2022
This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Wong, Vivian C.; Valentine, Jeffrey C.; Miller-Bains, Kate – Journal of Research on Educational Effectiveness, 2017
This article summarizes results from 12 empirical evaluations of observational methods in education contexts. We look at the performance of three common covariate-types in observational studies where the outcome is a standardized reading or math test. They are: pretest measures, local geographic matching, and rich covariate sets with a strong…
Descriptors: Observation, Educational Research, Standardized Tests, Reading Tests
Fife, James H.; James, Kofi; Peters, Stephanie – ETS Research Report Series, 2020
The concept of variability is central to statistics. In this research report, we review mathematics education research on variability and, based on that review and on feedback from an expert panel, propose a learning progression (LP) for variability. The structure of the proposed LP consists of 5 levels of sophistication in understanding…
Descriptors: Mathematics Education, Statistics Education, Feedback (Response), Research Reports
Danon, Alice; Das, Jishnu; de Barros, Andreas; Filmer, Deon – World Bank, 2023
This paper assesses the reliability and validity of cognitive and socioemotional skills measures and investigates the correlation between schooling, skills acquisition, and labor earnings. The primary data from Pakistan incorporates two innovations related to measurement and sampling. On measurement, the paper develops and implements a battery of…
Descriptors: Developing Nations, Comparative Analysis, Cognitive Ability, Social Emotional Learning
Wagemaker, Hans, Ed. – International Association for the Evaluation of Educational Achievement, 2020
Although International Association for the Evaluation of Educational Achievement-pioneered international large-scale assessment (ILSA) of education is now a well-established science, non-practitioners and many users often substantially misunderstand how large-scale assessments are conducted, what questions and challenges they are designed to…
Descriptors: International Assessment, Achievement Tests, Educational Assessment, Comparative Analysis
Kucuker, Erdal – Education, 2016
This study, comparing the academic achievement levels of the students with different primary school entrance age, is in survey model. 60 students, at the second grade of a primary school centrally located in Tokat province in the year the study was conducted and were 60-66 and 73-84 months old when entered the primary school, were selected with…
Descriptors: Comparative Analysis, Academic Achievement, Sampling, Grade 2
Topczewski, Anna; Cui, Zhongmin; Woodruff, David; Chen, Hanwei; Fang, Yu – ACT, Inc., 2013
This paper investigates four methods of linear equating under the common item nonequivalent groups design. Three of the methods are well known: Tucker, Angoff-Levine, and Congeneric-Levine. A fourth method is presented as a variant of the Congeneric-Levine method. Using simulation data generated from the three-parameter logistic IRT model we…
Descriptors: Comparative Analysis, Equated Scores, Methods, Simulation
Hopstock, Paul J.; Pelczar, Marisa P. – National Center for Education Statistics, 2011
This technical report and user's guide is designed to provide researchers with an overview of the design and implementation of the 2009 Program for International Student Assessment (PISA), as well as with information on how to access the PISA 2009 data. This information is meant to supplement that presented in Organization for Economic Cooperation…
Descriptors: Parent Materials, Academic Achievement, Measures (Individuals), Program Effectiveness
Braun, Henry; Qian, Jiahe – ETS Research Report Series, 2008
This report describes the derivation and evaluation of a method for comparing the performance standards for public school students set by different states. It is based on an approach proposed by McLaughlin and associates, which constituted an innovative attempt to resolve the confusion and concern that occurs when very different proportions of…
Descriptors: State Standards, Comparative Analysis, Public Schools, National Competency Tests
Kuan, Foo Lay; Tek, Ong Eng – Journal of Science and Mathematics Education in Southeast Asia, 2007
This paper reports a causal-comparative study of science anxiety among Form Four students in Penang. The Wynstra's (1991) Science Anxiety Inventory (SAI), which consists of six factors (i.e., danger anxiety, science test anxiety, math and problem-solving anxiety, squeamish anxiety, performance anxiety, and science classroom anxiety), was…
Descriptors: Females, Science Tests, Mathematics Tests, Sampling
Ramseier, Erich – 1998
This paper shows how the Third International Mathematics and Science Study (TIMSS) can be carried out in a country with a very complicated upper-secondary educational system. The difficulties are not linked to the measurement of achievement, since the international project provides a common achievement scale. The challenge lies in the design of…
Descriptors: College Preparation, Comparative Analysis, Cross Cultural Studies, Foreign Countries
Martin, Michael O., Ed.; Mullis, Ina V. S., Ed. – 1996
The Third International Mathematics and Science Study (TIMSS) is the most ambitious study conducted by the International Association for the Evaluation of Educational Achievement to date. TIMSS developed and administered tests and questionnaires in three student populations to study achievement in participating countries and the factors associated…
Descriptors: Academic Achievement, Comparative Analysis, Data Collection, Elementary Secondary Education
Martin, Michael O., Ed.; Kelly, Dana L., Ed. – 1996
The Third International Mathematics and Science Study (TIMSS) developed and administered tests and questionnaires in three student populations to document the quality of mathematics and science education in 45 participating countries. Study design, instrument development, and research procedures were achieved through a complex collaborative…
Descriptors: Academic Achievement, Comparative Analysis, Data Collection, Elementary Secondary Education
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