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Luo, Feiya; Israel, Maya; Gane, Brian – ACM Transactions on Computing Education, 2022
There is little empirical research related to how elementary students develop computational thinking (CT) and how they apply CT in problem-solving. To address this gap in knowledge, this study made use of learning trajectories (LTs; hypothesized learning goals, progressions, and activities) in CT concept areas such as sequence, repetition,…
Descriptors: Elementary School Students, Computation, Thinking Skills, Learning Trajectories
Pat Thomson; Liam Maloy; Christine Hall – Education 3-13, 2024
Educators are concerned that children make progress in their learning. While there are both policy and professional debates about how progress should be monitored and assessed, the views of children are rarely considered. Grounded in the 'voiced' research tradition, this paper reports on 158 focus group interviews with upper primary school…
Descriptors: Foreign Countries, Grade 4, Elementary School Students, Art Education
Guangming Li; Zhengyan Liang – SAGE Open, 2024
In order to investigate the influence of separation of grade distributions and ratio of common items on the precision of vertical scaling, this simulation study chooses common item design and first grade as base grade. There are four grades with 1,000 students each to take part in a test which has 100 items. Monte Carlo simulation method is used…
Descriptors: Elementary School Students, Grade 1, Grade 2, Grade 3
Tang, Shifang; Wang, Zhuoying; Sutton-Jones, Kara L. – Educational Studies, 2023
We examined student reading achievement in rural and non-rural school districts in Texas. Our research questions probed the improvement in student performance over time, differences in the number of students achieving at different performance levels, and the impact of district-level characteristics on reading achievement. Through quantitative…
Descriptors: Hierarchical Linear Modeling, Elementary School Students, Achievement Tests, Reading Tests
Xu, Jiajun; Dadey, Nathan – Applied Measurement in Education, 2022
This paper explores how student performance across the full set of multiple modular assessments of individual standards, which we refer to as mini-assessments, from a large scale, operational program of interim assessment can be summarized using Bayesian networks. We follow a completely data-driven approach in which no constraints are imposed to…
Descriptors: Bayesian Statistics, Learning Analytics, Scores, Academic Achievement
Singh, Malkeet; Dunn, Hugh H. – AERA Online Paper Repository, 2020
This paper will demonstrate how we used state-level longitudinal data to model reading growth trajectories. Using data from large scale assessments that were vertically linked across grades in Hawaii, we utilized a multilevel regression framework to develop growth models to study students' reading performance trajectories during their elementary…
Descriptors: Reading Achievement, Elementary School Students, Student Characteristics, Models
Inoue, Tomohiro; Zheng, Mo; Ho, Connie Suk-Han; McBride, Catherine – Developmental Psychology, 2023
We examined the developmental trajectories and cognitive predictors of first language Chinese reading, second language English reading, and mathematics skills in Hong Kong children in Grades 1-5. We used longitudinal data of 1,000 children (M[subscript age] = 7.59 years) assessed on phonological awareness, rapid naming, and morphological awareness…
Descriptors: Foreign Countries, Elementary School Students, Chinese, Reading
Martin, Kristi; Hunt, Jessica H. – Investigations in Mathematics Learning, 2022
One challenge facing the fields of mathematics education and special education is how to design instruction on fraction concepts that can meet the needs of diverse learners. An innovation that shows promise is to base instructional design upon well-established trajectories of students' fraction learning. However, little research has been done to…
Descriptors: Learning Trajectories, Fractions, Intervention, Mathematics Education
Purnomo, Yoppy Wahyu; Arlini, Rizki; Nuriadin, Ishaq; Aziz, Tian Abdul – Mathematics Teaching Research Journal, 2021
Learning emphasizing fractions as a part-whole concept causes several limitations in developing fraction knowledge and inhibits proportional reasoning. We use fractions as quotients as the first context introduced in our learning trajectory. We report the teaching experiment results using the improved learning trajectory on thirty 4th grade…
Descriptors: Teaching Methods, Fractions, Mathematics Instruction, Thinking Skills
Jonathan A. Supovitz; Caroline B. Ebby; Gregory Collins – American Journal of Education, 2024
Purpose: A growing trend in instructional improvement efforts is the use of formative assessment informed by research-based developmental trajectories of how students gain deeper understanding of subject matter content over time. This article reports the findings of a large-scale experimental study of an innovative mathematics professional…
Descriptors: Learning Trajectories, Formative Evaluation, Faculty Development, Elementary School Mathematics
Peter Freebody – Australian Journal of Language and Literacy, 2021
The focus of this special edition is students' literacy development over the school years. Drawing on data that includes classroom interactions, analyses of texts, and interviews with students, this edition builds on the seminal treatment of the question of literacy transitions provided in Christie and Derewianka (2008). This paper aims to…
Descriptors: Academic Achievement, Teacher Attitudes, Grade 1, Grade 2