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Hui Jin; Hyo Jeong Shin; Dante Cisterna – International Journal of Science and Mathematics Education, 2024
Learning progressions (LPs) are cognitive models that describe the development of scientific knowledge and practices in students. They are constructed based on learning theories and student data. Scholars have advocated for using LPs to align curriculum, instruction, and assessment into a coherent system, and by doing so, promote productive…
Descriptors: Educational Research, Cognitive Style, Evaluation Methods, Learning Trajectories
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Tsedeke Abate; Getachew Tarekegn; Mekbib Alemu; Kassa Michael; Carl Angell – African Journal of Research in Mathematics, Science and Technology Education, 2024
One agenda of science instruction in primary schools is to develop learners' scientific reasoning abilities and to equip them with the necessary twenty-first-century skills. Few studies have been conducted to develop measurement tools that aspire to assess primary school learners' scientific reasoning. Most of these studies lack a theoretical…
Descriptors: Thinking Skills, Science Instruction, Elementary School Students, Educational History
Backes, Ben; Cowan, James; Goldhaber, Dan; Theobald, Roddy – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2023
This paper examines how different measures of teacher quality are related to students' long-run educational trajectories. We estimate teachers' "test-based" and "nontest" value-added (the latter based on contributions to student absences, suspensions, grade progression, and grades) and assess how these predict various student…
Descriptors: Teacher Effectiveness, Teacher Evaluation, Outcomes of Education, Learning Trajectories
T. S. Kutaka; P. Chernyavskiy; J. Sarama; D. H. Clements – Grantee Submission, 2023
Investigators often rely on the proportion of correct responses in an assessment when describing the impact of early mathematics interventions on child outcomes. Here, we propose a shift in focus to the relative sophistication of problem-solving strategies and offer methodological guidance to researchers interested in working with strategies. We…
Descriptors: Learning Trajectories, Problem Solving, Mathematics Instruction, Early Intervention
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Christopher J. Harris; Eric Wiebe; Shuchi Grover; James W. Pellegrino – Community for Advancing Discovery Research in Education (CADRE), 2023
Major developments over the past two decades in STEM education and classroom assessment provide a compelling argument for shifting the focus of assessment toward the classroom where its most powerful benefits can be realized. The increased emphasis on diversity, equity, and inclusion in education puts increased scrutiny on assessment practices and…
Descriptors: Student Evaluation, STEM Education, Educational Trends, Equal Education
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Sanguino, Juan; Manrique, Rubén; Mariño, Olga; Linares-Vásquez, Mario; Cardozo, Nicolas – International Educational Data Mining Society, 2022
Recommender systems in educational contexts have proven effective to identify learning resources that fit the interests and needs of learners. Their usage has been of special interest in online self-learning scenarios to increase student retention and improve the learning experience. In current recommendation techniques, and in particular, in…
Descriptors: Data Analysis, Learning Analytics, Student Interests, Student Needs
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Maria Blanton; Angela Murphy Gardiner; Ana Stephens; Rena Stroud; Eric Knuth; Despina Stylianou – Grantee Submission, 2023
We describe here lessons learned in designing an early algebra curriculum to measure early algebra's impact on children's algebra readiness for middle grades. The curriculum was developed to supplement regular mathematics instruction in Grades K-5. Lessons learned centered around the importance of several key factors, including using conceptual…
Descriptors: Mathematics Curriculum, Curriculum Design, Mathematics Instruction, Kindergarten
Megan Kuhfeld; James Soland – Annenberg Institute for School Reform at Brown University, 2020
A huge portion of what we know about how humans develop, learn, behave, and interact is based on survey data. Researchers use longitudinal growth modeling to understand the development of students on psychological and social-emotional learning constructs across elementary and middle school. In these designs, students are typically administered a…
Descriptors: Elementary School Students, Middle School Students, Social Emotional Learning, Measurement Techniques