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Qiwei He; Qingzhou Shi; Elizabeth L. Tighe – Grantee Submission, 2023
Increased use of computer-based assessments has facilitated data collection processes that capture both response product data (i.e., correct and incorrect) and response process data (e.g., time-stamped action sequences). Evidence suggests a strong relationship between respondents' correct/incorrect responses and their problem-solving proficiency…
Descriptors: Artificial Intelligence, Problem Solving, Classification, Data Use
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Baptiste Barbot; James C. Kaufman – Journal of Creative Behavior, 2025
The OECD's PISA program assesses 15-year-old students globally in key competencies every 3 years, providing influential data on education quality and spurring policy debates. In the latest cycle, the innovation domain focused on creative thinking, assessing over 140,000 students across 60+ countries, in the largest study of adolescent creativity…
Descriptors: Achievement Tests, Foreign Countries, Secondary School Students, International Assessment
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Wise, Steven L.; Kuhfeld, Megan R. – Journal of Educational Measurement, 2021
There has been a growing research interest in the identification and management of disengaged test taking, which poses a validity threat that is particularly prevalent with low-stakes tests. This study investigated effort-moderated (E-M) scoring, in which item responses classified as rapid guesses are identified and excluded from scoring. Using…
Descriptors: Scoring, Data Use, Response Style (Tests), Guessing (Tests)
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Farley-Ripple, Elizabeth N.; Jennings, Austin; Jennings, Amanda B. – School Effectiveness and School Improvement, 2021
Test-based accountability policy in the US has resulted in increased availability and use of assessment systems to support instructional decision making. Though limited, literature to date suggests an important role for these systems as tools, mediating teacher knowledge and action. We examine system log data from NWEA's MAP assessment to better…
Descriptors: Achievement Tests, Data Use, Information Systems, Reports
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Dong, Fang; Kula, Maria Cornachione – Education Economics, 2023
This paper uses data from the OECD's 2015 PISA and an endogenous treatment effects model to investigate the impact of different intensities of digital device use for academic purposes on science learning outcomes. When we do not differentiate the location of device use, we find that greater use can help students improve their science scores in…
Descriptors: Technology Uses in Education, Scientific Literacy, Achievement Tests, Foreign Countries
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Klingbeil, David A.; Osman, David J.; Van Norman, Ethan R.; Berry-Corie, Kimberly; Kim, Jessica S.; Schmitt, Madeline C.; Latham, Alexander D. – Reading & Writing Quarterly, 2023
Accurate and efficient universal screening is a foundational component of multi-tiered systems of support for reading. By the time students reach middle school, educators often have extant data available to inform screening decisions. Therefore, the decision to collect additional data to inform screening should be considered carefully. The…
Descriptors: Screening Tests, Reading Tests, Middle School Students, Identification
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Giberti, Chiara; Maffia, Andrea – Teaching Mathematics and Its Applications, 2020
This paper sets out to explore the different uses made of Organisation for Economic Co-operation and Development Program for International Student Assessment (OECD-PISA) tests and data in mathematics education research. Through a comprehensive literature review of journals and conference papers, we show that although a large variety of topics is…
Descriptors: Mathematics Teachers, Foreign Countries, International Assessment, Achievement Tests
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Shero, Jeffrey A.; Al Otaiba, Stephanie; Schatschneider, Chris; Hart, Sara A. – Journal of Experimental Education, 2022
Many of the analytical models commonly used in educational research often aim to maximize explained variance and identify variable importance within models. These models are useful for understanding general ideas and trends, but give limited insight into the individuals within said models. Data envelopment analysis (DEA), is a method rooted in…
Descriptors: Data Analysis, Educational Research, Nonparametric Statistics, Efficiency
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Eichmann, Beate; Goldhammer, Frank; Greiff, Samuel; Brandhuber, Liene; Naumann, Johannes – Journal of Educational Psychology, 2020
In large-scale assessments, performance differences across different groups are regularly found. These group differences (e.g., gender differences) are often relevant for educational policy decisions and measures. However, the formation of these group differences usually remains unclear. We propose an approach for investigating this formation by…
Descriptors: Problem Solving, Data Use, Differences, Achievement Tests
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Soland, James; Thum, Yeow Meng – Journal of Research on Educational Effectiveness, 2022
Sources of longitudinal achievement data are increasing thanks partially to the expansion of available interim assessments. These tests are often used to monitor the progress of students, classrooms, and schools within and across school years. Yet, few statistical models equipped to approximate the distinctly seasonal patterns in the data exist,…
Descriptors: Academic Achievement, Longitudinal Studies, Data Use, Computation
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Farley-Ripple, Elizabeth N.; Jennings, Austin S.; Buttram, Joan – AERA Open, 2019
Research consistently has found teachers' use of assessment data for instructional purposes challenging and inconsistent. To support teachers' use of data, we need to develop shared knowledge about how data are and can be used to advance teaching and learning. However, the literature on the specific actions teachers take is inconsistent, creating…
Descriptors: Data Use, Elementary School Teachers, Teacher Educators, Teaching Methods
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Ercikan, Kadriye; Guo, Hongwen; He, Qiwei – Educational Assessment, 2020
Comparing group is one of the key uses of large-scale assessment results, which are used to gain insights to inform policy and practice and to examine the comparability of scores and score meaning. Such comparisons typically focus on examinees' final answers and responses to test questions, ignoring response process differences groups may engage…
Descriptors: Data Use, Responses, Comparative Analysis, Test Bias
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Lundahl, Christian; Serder, Margareta – Nordic Journal of Studies in Educational Policy, 2020
Two separate data searches underlie this analysis of how references to educational research and to PISA are used in the Swedish education debate. The data consist of 380 newspaper articles from the eight largest print media outlets in Sweden and 200 protocols from parliamentary debates (2000 to 2016) that made explicit reference to 'PISA' and/or…
Descriptors: International Assessment, Secondary School Students, Foreign Countries, Achievement Tests
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Adams, John L.; Persinger, Lisa L.; Bohan, Kathy J.; Horn, Robert A. – eJEP: eJournal of Education Policy, 2020
This study investigates the utility of existing measures of Oral Reading Fluency (ORF), reading retell, and language proficiency for predicting reading achievement among Spanish speaking English language learners in the United States. Consistent with previous findings, ORF predicts a large proportion of the variance in reading achievement.…
Descriptors: Data Use, Prediction, Reading Achievement, English Language Learners
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Caldwell, Amanda; Hawe, Eleanor – Assessment Matters, 2016
Assessment can be powerful when teachers are able to analyse, interpret and use information in ways that enhance their teaching and programmes, and students' learning. A qualitative approach was used to investigate how teachers of Years 4-8 students analyse, interpret and use information gained from administration of the Progressive Achievement…
Descriptors: Data Use, Data Interpretation, Data Analysis, Achievement Tests
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