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Direct linkvon Davier, Matthias; Tyack, Lillian; Khorramdel, Lale – Educational and Psychological Measurement, 2023
Automated scoring of free drawings or images as responses has yet to be used in large-scale assessments of student achievement. In this study, we propose artificial neural networks to classify these types of graphical responses from a TIMSS 2019 item. We are comparing classification accuracy of convolutional and feed-forward approaches. Our…
Descriptors: Scoring, Networks, Artificial Intelligence, Elementary Secondary Education
Download full textKoyuncu, Mahmut Sami; Erdemir, Aysenur – International Journal of Contemporary Educational Research, 2019
The aim of the study is to compare TIMSS 2011 proficiency levels with the proficiency levels defined by the researchers using cluster analysis for Turkey, Korean, Norway, and Morocco in 4th and 8 th grades in the fields of science and mathematics. Therefore, it is tried to be reached that these cut-off scores for each country can serve the…
Descriptors: Cutting Scores, Achievement Tests, Elementary Secondary Education, Foreign Countries
Mullis, Ina V. S., Ed.; Martin, Michael O., Ed.; von Davier, Matthias, Ed. – International Association for the Evaluation of Educational Achievement, 2021
TIMSS (Trends in International Mathematics and Science Study) is a long-standing international assessment of mathematics and science at the fourth and eighth grades that has been collecting trend data every four years since 1995. About 70 countries use TIMSS trend data for monitoring the effectiveness of their education systems in a global…
Descriptors: Achievement Tests, International Assessment, Science Achievement, Mathematics Achievement
Stapleton, Laura M.; Kang, Yoonjeong – Sociological Methods & Research, 2018
This research empirically evaluates data sets from the National Center for Education Statistics (NCES) for design effects of ignoring the sampling design in weighted two-level analyses. Currently, researchers may ignore the sampling design beyond the levels that they model which might result in incorrect inferences regarding hypotheses due to…
Descriptors: Probability, Hierarchical Linear Modeling, Sampling, Inferences
Iowa Department of Education, 2017
Data and information are important components of school improvement. They show how schools are changing and how students are progressing. Providing and interpreting data is one of the critical functions of the Iowa Department of Education. The annual Condition of Education report provides valuable data about students, educators and school…
Descriptors: Special Education, Enrollment Trends, Early Childhood Education, Teacher Salaries
Watson, Sandy White, Ed. – Online Submission, 2005
This document represents a sample collection of master's theses from the University of Tennessee at Chattanooga's Teacher Education Program, spring semester, 2005. The majority of these student researchers were simultaneously student teaching while writing their theses. Studies were empirical and conceptual in nature and demonstrate some ways in…
Descriptors: Elementary Secondary Education, Public Schools, Student Behavior, Drama
