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Reader, Tracey; Larkin, Kevin; Grootenboer, Peter – Mathematics Education Research Group of Australasia, 2023
This conceptual paper discusses two frameworks, developed independently by the lead author, that will provide the conceptual foundation for the identification and evaluation of mental computation strategies students demonstrate during an upcoming research project entitled Mental Computation in Year 5. These frameworks will be used by the lead…
Descriptors: Elementary School Students, Cognitive Processes, Computation, Mathematics Instruction
Rogers, Angela – Mathematics Education Research Group of Australasia, 2023
Place value is one of the 'big ideas' in number and plays a critical role in helping students develop their number sense, problem solving and computation skills. Yet, the elegant simplicity of our place value system belies the abstract nature of the construct. This paper presents data from 606 Year 3-6 students (ages 8-12) from two metropolitan…
Descriptors: Number Concepts, Teaching Methods, Problem Solving, Computation
Zaber, Melanie A.; Steiner, Elizabeth D.; Arana, Jessica – RAND Corporation, 2023
There are many ways to pay for postsecondary education, and one increasingly common option is an income share agreement (ISA). Under an ISA, the learner promises a share of their pre-tax earnings to a funder for a set period after the learner finishes or stops their program. The learner makes payments only when their earnings are high enough, and…
Descriptors: Income Contingent Loans, Student Loan Programs, Paying for College, Postsecondary Education
Sung, Jihyun; Lee, Ji Young; Chun, Hui Young – International Journal of STEM Education, 2023
Background: Despite the recent emphasis on technology and engineering in early childhood education, the importance of teaching relevant concepts in early education has been underappreciated in South Korea. This study examined the feasibility and efficacy of a science, technology, engineering, art, and mathematics (STEAM) program integrated into…
Descriptors: Foreign Countries, Early Childhood Education, Computation, Thinking Skills
Moon, Peter F.; Himmelsbach, Joshua; Weintrop, David; Walkoe, Janet – Journal of Pedagogical Research, 2023
Computational thinking (CT) has the potential to enhance learning when integrated into mathematical classroom activities. Teachers are being asked to include CT concepts in their core disciplines; however, there is an open question as to how best to equip teachers to integrate CT into their practice. Oftentimes teacher candidates enter math and…
Descriptors: Methods Courses, Mathematics Education, Science Education, Computation
Gerasimova, Daria; Miller, Angela D.; Hjalmarson, Margret A. – Educational Studies in Mathematics, 2023
In mathematics education, researchers often contrast conceptual and procedural teaching approaches, although labels and conceptualizations often vary across studies. Prior research has extensively examined empirical relationships between the two teaching approaches and mathematics achievement. In our study, we aimed to extend this research by…
Descriptors: Teaching Methods, Algebra, Mathematics Achievement, Longitudinal Studies
Salehzadeh, Roya; Rivera, Brian; Man, Kaiwen; Jalili, Nader; Soylu, Firat – Journal of Numerical Cognition, 2023
In this study, we used multivariate decoding methods to study processing differences between canonical (montring and count) and noncanonical finger numeral configurations (FNCs). While previous research investigated these processing differences using behavioral and event-related potentials (ERP) methods, conventional univariate ERP analyses focus…
Descriptors: Cognitive Processes, Human Body, Artificial Intelligence, Mathematics Skills
Grund, Simon; Lüdtke, Oliver; Robitzsch, Alexander – Journal of Educational and Behavioral Statistics, 2023
Multiple imputation (MI) is a popular method for handling missing data. In education research, it can be challenging to use MI because the data often have a clustered structure that need to be accommodated during MI. Although much research has considered applications of MI in hierarchical data, little is known about its use in cross-classified…
Descriptors: Educational Research, Data Analysis, Error of Measurement, Computation
Nelson, M. I. – International Journal of Mathematical Education in Science and Technology, 2023
In the past, my mathematics students have frequently complained at any suggestion that they should communicate ideas through the medium of a written report. This article discusses student responses when they were asked to write a short report for the mayor of a (hypothetical) small town in response to the mayor's plan to eliminate a contagious…
Descriptors: Mathematics Education, COVID-19, Pandemics, Disease Control
Eleftheriadi, Artemis; Lavidas, Konstantinos; Koustourakis, Gerasimos; Papadakis, Stamatis – Educational Process: International Journal, 2023
Background/purpose: Investigation into the misconceptions of preschool students in mathematics and their differences between the ages of 4-5 and 5-6 years old helps form appropriate developmental mathematics teaching programs. However, although several studies have been conducted examining preschoolers' previous knowledge and misconceptions about…
Descriptors: Misconceptions, Numbers, Arithmetic, Age Differences
Helsa, Yullys; Turmudi; Juandi, Dadang – Journal on Mathematics Education, 2023
Hybrid learning implementation is closely related with technology. In designing hybrid lessons, lecturers need to have both the pedagogical and content-related skills that make the best use of technology so that it also improves the students' skills, including their computational thinking skills. The purpose of this research is to examine whether…
Descriptors: Blended Learning, Pedagogical Content Knowledge, Technological Literacy, Models
Key Student Nodes Mining in the In-Class Social Network Based on Combined Weighted GRA-TOPSIS Method
Shou, Zhaoyu; Tang, Mengxue; Wen, Hui; Liu, Jinghua; Mo, Jianwen; Zhang, Huibing – International Journal of Information and Communication Technology Education, 2023
In this paper, a key node mining algorithm of entropy-CRITIC combined weighted GRA-TOPSIS method is proposed, which is based on the network structure features. First, the method obtained multi-dimensional data of students' identities, seating relationships, social relationships, and so on to build a database. Then, the seating similarity among…
Descriptors: Social Networks, Algorithms, Network Analysis, Databases
Khodabandelou, Rouhollah; Alhoqani, Khaloud – Education 3-13, 2023
This research aimed to study the effects of the WeDo 2.0 robot workshop on grade five students' acquisition of the computational thinking concepts (CTCs) and their acceptance of the robot technology. A quasi-experimental method, One-Group Pre-test Post-test design, was used. Thirty-five grade 5 students participated in a five-day (four hours of…
Descriptors: Robotics, Workshops, Foreign Countries, Grade 5
Griffith, Amanda E.; Katuka, Gloria Ashiya; Wiggins, Joseph B.; Boyer, Kristy Elizabeth; Freeman, Jason; Magerko, Brian; McKlin, Tom – International Journal of Artificial Intelligence in Education, 2023
Collaborative learning offers numerous benefits to learners, largely due to the dialogue that is unfolding between them. However, there is still much to learn about the structure of collaborative dialogue, and especially little is known about co-creative dialogues during learning. This paper reports on a study with learners engaged in co-creative…
Descriptors: Cooperative Learning, Dialogs (Language), Coding, Student Satisfaction
Li, Wei; Konstantopoulos, Spyros – Educational and Psychological Measurement, 2023
Cluster randomized control trials often incorporate a longitudinal component where, for example, students are followed over time and student outcomes are measured repeatedly. Besides examining how intervention effects induce changes in outcomes, researchers are sometimes also interested in exploring whether intervention effects on outcomes are…
Descriptors: Statistical Analysis, Randomized Controlled Trials, Longitudinal Studies, Hierarchical Linear Modeling

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