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Adam J. Lekwa; Joseph Deegan; Christian Mathews – Assessment for Effective Intervention, 2025
Drawing on cognitive theory in reading comprehension, Sentence Order Fluency (SOF) is proposed as a method for monitoring progress in reading comprehension. In this article, we present results of a pilot study on SOF conducted between April and June 2023, with a group of 119 students in Grades 4, 5, and 6 in a charter school in the mid-Atlantic…
Descriptors: Progress Monitoring, Reading Comprehension, Elementary School Students, Grade 4
Lóa Björk Jóelsdóttir; Paul Andrews – International Journal of Mathematical Education in Science and Technology, 2025
In this paper we present a novel adaptation of a tri-phase assessment tool, originally devised to investigate students' linear equations-related strategy flexibility, to evaluate Danish grade-six students' multidigit arithmetic-related strategy adaptivity and flexibility. Participants, 731 students, median age 12 years and drawn from 20…
Descriptors: Grade 6, Elementary School Students, Mathematics Instruction, Equations (Mathematics)
Lóa Björk Jóelsdóttir; Paul Andrews – European Journal of Psychology of Education, 2024
In this paper, the multidigit arithmetic-related strategy adaptivity, strategy flexibility and solution accuracy of Danish compulsory school students is examined. Participants, 749 grade three, 731 grade six and 818 grade eight, were drawn from twenty demographically different schools. Drawing on a tri-phase assessment tool, each student completed…
Descriptors: Foreign Countries, Grade 3, Grade 6, Grade 8
Tamar Fuhrmann; Leah Rosenbaum; Aditi Wagh; Adelmo Eloy; Jacob Wolf; Paulo Blikstein; Michelle Wilkerson – Science Education, 2025
When learning about scientific phenomena, students are expected to "mechanistically" explain how underlying interactions produce the observable phenomenon and "conceptually" connect the observed phenomenon to canonical scientific knowledge. This paper investigates how the integration of the complementary processes of designing…
Descriptors: Mechanics (Physics), Thinking Skills, Scientific Concepts, Concept Formation
Kate Cain; Nicola K. Currie; Gillian Francey; Robert Davies; Shelley Gray; Mindy S. Bridges; M. Adelaida Restrepo; Marilyn S. Thompson; Margeaux F. Ciraolo – Journal of Research in Reading, 2025
Background: We examined the influence of text and reader characteristics on sixth graders' inference generation. Methods: Eleven- to 12-year-old US monolingual English speakers (N = 71) and Spanish-English bilinguals (N = 81) read narrative and informational expository texts requiring an inference and answered an inference-tapping question after…
Descriptors: Reader Text Relationship, Student Characteristics, Grade 6, Inferences
Munise Seçkin Kapucu; I?brahim Özcan; Hülya Özcan; Ahmet Aypay – International Journal of Technology in Education and Science, 2024
Our research aims to predict students' academic performance by considering the variables affecting academic performance in science courses using the deep learning method from machine learning algorithms and to determine the importance of independent variables affecting students' academic performance in science courses. 445 students from 5th, 6th,…
Descriptors: Secondary School Students, Science Achievement, Artificial Intelligence, Foreign Countries
Juliette Quadri; Justine Masson; Martine Poncelet – Reading and Writing: An Interdisciplinary Journal, 2024
The purpose of this study was to investigate if a group of sixth-grade low achievement language minority (LM) students' reading skills could be improved by an intervention designed to train reading fluency, a critical component of reading development, defined as integrating speed and accuracy (reading rate) as well as prosody. The study included…
Descriptors: Reading Programs, Reading Rate, Grade 6, Low Achievement
Kelly-Ann Gesuelli; Nancy C. Jordan – Journal of Educational Psychology, 2024
Fraction arithmetic facility is fundamental to learning more advanced math topics. However, attaining the ability to add and subtract fractions is hard for many students. The present longitudinal study examined students' growth on simple addition and subtraction word problems between fourth and sixth grades (N = 536). Latent class growth analyses…
Descriptors: Fractions, Arithmetic, Error Patterns, Mathematics Instruction
Ethan R. Van Norman; Emily R. Forcht – Journal of Education for Students Placed at Risk, 2024
This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…
Descriptors: Data Collection, Predictive Measurement, Predictive Validity, Predictor Variables
Gerald Tindal; Joseph F. T. Nese – Behavioral Research and Teaching, 2024
We present two types of validity evidence to support inferences and decisions about use of easyCBMs in relation to state testing programs. The first type involves the use of Benchmarks in reading to use in making predictions of performance on the Smarter Balanced (SB) test. These predictions can be made both well in advance (several months) or…
Descriptors: Classification, Accuracy, Validity, Criteria
Paz Suárez-Coalla; Luis Castejón; Marina Vega-Harwood; Cristina Martínez-García – Reading and Writing: An Interdisciplinary Journal, 2024
Reading acquisition involves connections between the spoken language and the writing system. The English-language writing system holds an inconsistent alphabetic system, thus encouraging readers to develop representations between the grapheme and the word. Reading in English as a Foreign language supposes a challenge, especially when the reader's…
Descriptors: English (Second Language), Second Language Learning, Reading Achievement, Spanish Speaking
Anika Alam; A. Brooks Bowden – Society for Research on Educational Effectiveness, 2024
Background: The importance of high school completion for jobs and postsecondary opportunities is well- documented. Combined with federal laws where high school graduation rate is a core performance indicator, school systems and states face pressure to actively monitor and assess high school completion. This proposal employs machine learning…
Descriptors: Dropout Characteristics, Prediction, Artificial Intelligence, At Risk Students