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Mielicki, Marta K.; Fitzsimmons, Charles J.; Woodbury, Lauren H.; Marshal, Hannah; Zhang, Dake; Rivera, Ferdinand D.; Thompson, Clarissa A. – Grantee Submission, 2021
Prior work exploring preschool-aged children's reasoning with repeating patterns has shown that patterning ability is an important predictor of math achievement; however, there is limited research exploring older children's growing pattern task performance. The current study tested whether presentation format impacts performance on growing pattern…
Descriptors: Elementary School Students, Mathematics Skills, Number Concepts, Word Problems (Mathematics)
Kidd, Julie K.; McKnight, Patrick E.; Gallington, Debbie A.; Strauss, Lauren I.; Lyu, Hao; Lauritzen, Hans Christian; Choe, Jihyae; Holmberg, Courtney A.; Pasnak, Robert – Grantee Submission, 2021
Cognitive abilities, executive functions (EFs) and patterning, and simple measures of early literacy and mathematics were measured for 275 kindergartners during the second and third month of formal schooling. An exploratory factor analysis revealed four factors. The first was a literacy factor, to which a number series scale made a small…
Descriptors: Mathematics Skills, Reading Skills, Cognitive Ability, Kindergarten
Camille Gasaway Pace – ProQuest LLC, 2021
Even with extensive retention research dating from the 1960s, community colleges still struggle to identify the reasons why students do not return to college. Data mining has allowed these retention models to evolve to identify new patterns among student populations and variables. The purpose of this study was to create a predictive model for…
Descriptors: Community Colleges, School Holding Power, College Freshmen, Information Retrieval
Spangenberg, Erica Dorethea; Pithmajor, Aphane Koko – EURASIA Journal of Mathematics, Science and Technology Education, 2020
Many Grade 9 mathematics learners face difficulties in solving number-pattern problems due to insufficient exposure to strategies in solving such problems. The aim of this exploratory qualitative study was to investigate Grade 9 mathematics learners' strategies in solving number-pattern problems. The problem-solving conceptual framework of Singer…
Descriptors: Grade 9, Secondary School Mathematics, Secondary School Students, Adolescents
Tang, Xiaowei; Elby, Andrew; Hammer, David – Science Education, 2020
Through analysis of a classroom lesson led by a decorated teacher, we illustrate how instructional practices favor students seeking empirical patterns at the expense of using mechanistic reasoning. In the lesson, when students spontaneously come up with hypothetical mechanisms to explain why a light bulb in an electric circuit does or does not…
Descriptors: Foreign Countries, Pattern Recognition, Logical Thinking, Concept Formation
Guan, Connie Qun; Fraundorf, Scott H.; Perfetti, Charles A. – Annals of Dyslexia, 2020
In light of the dramatic growth of Chinese learners worldwide and a need for a cross-linguistic research on Chinese literacy development, this study investigated (a) the effects of character properties (i.e., orthographic consistency and transparency) on character acquisition, and (b) the effects of individual learner differences (i.e.,…
Descriptors: Chinese, Language Acquisition, Pattern Recognition, Alphabets
Apsari, Ratih Ayu; Putri, Ratu Ilma Indra; Sariyasa; Abels, Mieke; Prayitno, Sudi – Journal on Mathematics Education, 2020
The present study is a part of design research in local instructional theory in a pre-algebraic lesson using the Realistic Mathematics Education (RME) approach. The article will focus on recommendations for the type of pre-algebra class that supports elementary school students' algebraic thinking. As design research study, it followed the three…
Descriptors: Elementary School Students, Elementary School Mathematics, Grade 5, Geometry
Susac, Ana; Planinic, Maja; Bubic, Andreja; Jelicic, Katarina; Ivanjek, Lana; Cvenic, Karolina Matejak; Palmovic, Marijan – Physical Review Physics Education Research, 2021
Recognition of interference and diffraction patterns is a difficult task for both high-school and university students. Many students fail to observe important features of particular patterns and identify the differences among similar patterns. In this study, we investigated if performing students' investigative experiments can help high-school…
Descriptors: Investigations, Experiments, Hands on Science, Optics
Cannistrà, Marta; Masci, Chiara; Ieva, Francesca; Agasisti, Tommaso; Paganoni, Anna Maria – Studies in Higher Education, 2022
This paper combines a theoretical-based model with a data-driven approach to develop an Early Warning System that detects students who are more likely to dropout. The model uses innovative multilevel statistical and machine learning methods. The paper demonstrates the validity of the approach by applying it to administrative data from a leading…
Descriptors: Dropouts, Potential Dropouts, Dropout Prevention, Dropout Characteristics
Saxena, Anika; Lo, Chung Kwan; Hew, Khe Foon; Wong, Gary Ka Wai – Asia-Pacific Education Researcher, 2020
Educators and policy makers have increasingly recognized the importance of computational thinking (CT). Despite the growing body of CT literature, how to cultivate CT is still underexplored and undertheorized in early childhood education. Informed by Piaget's Theory of Cognitive Development, this exploratory study was conducted with a focus on…
Descriptors: Thinking Skills, Computation, Learning Activities, Early Childhood Education
Karimov, Ayaz; Saarela, Mirka; Kärkkäinen, Tommi – International Educational Data Mining Society, 2023
Within the last decade, different educational data mining techniques, particularly quantitative methods such as clustering, and regression analysis are widely used to analyze the data from educational games. In this research, we implemented a quantitative data mining technique (clustering) to further investigate students' feedback. Students played…
Descriptors: Student Attitudes, Feedback (Response), Educational Games, Information Retrieval
De Nóbrega, José Renato – Teaching Statistics: An International Journal for Teachers, 2017
A strategy to facilitate understanding of spatial randomness is described, using student activities developed in sequence: looking at spatial patterns, simulating approximate spatial randomness using a grid of equally-likely squares, using binomial probabilities for approximations and predictions and then comparing with given Poisson…
Descriptors: Statistical Analysis, Sequential Approach, Pattern Recognition, Simulation
Fujino, Hanako – Language Learning Journal, 2021
This study reports on the findings of a questionnaire administered to 93 students studying Japanese as a foreign language (JFL) at British universities, focusing on their views of the role of grammar in their learning of Japanese. Learners' views are important because mismatches with their teachers' views can affect their learning negatively.…
Descriptors: Grammar, Second Language Learning, Second Language Instruction, Teaching Methods
Say What? Automatic Modeling of Collaborative Problem Solving Skills from Student Speech in the Wild
Pugh, Samuel L.; Subburaj, Shree Krishna; Rao, Arjun Ramesh; Stewart, Angela E. B.; Andrews-Todd, Jessica; D'Mello, Sidney K. – International Educational Data Mining Society, 2021
We investigated the feasibility of using automatic speech recognition (ASR) and natural language processing (NLP) to classify collaborative problem solving (CPS) skills from recorded speech in noisy environments. We analyzed data from 44 dyads of middle and high school students who used videoconferencing to collaboratively solve physics and math…
Descriptors: Problem Solving, Cooperation, Middle School Students, High School Students
Trakunphutthirak, Ruangsak; Lee, Vincent C. S. – Journal of Educational Computing Research, 2022
Educators in higher education institutes often use statistical results obtained from their online Learning Management System (LMS) dataset, which has limitations, to evaluate student academic performance. This study differs from the current body of literature by including an additional dataset that advances the knowledge about factors affecting…
Descriptors: Information Retrieval, Pattern Recognition, Data Analysis, Information Technology

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