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Chelsey Legacy; Andrew Zieffler; V. N. Vimal Rao; Robert Delmas – Statistics Education Research Journal, 2025
As ideas from data science become more prevalent in secondary curricula, it is important to understand secondary teachers' content knowledge and reasoning about complex data structures and modern visualizations. The purpose of this case study is to explore how secondary teachers make sense of mappings between data and visualizations, especially…
Descriptors: Secondary School Teachers, Visualization, Data, Data Use
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Nyame, Faustina; Alhassan, Ibrahim; Alhassan, Abukari – Higher Education Studies, 2019
This paper examines students' perception of the impact of lecturers' ranks on their performance across departments in the Faculty of Mathematical Sciences (FMS) of the University for Development Studies (UDS), Navrongo Campus. The study used a self-designed structured questionnaire administered to 160 respondents (students) of the Faculty. All the…
Descriptors: Multivariate Analysis, Student Attitudes, Instructional Effectiveness, College Faculty
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Kazak, Sibel; Fujita, Taro; Turmo, Manoli Pifarre – Mathematical Thinking and Learning: An International Journal, 2023
In today's age of information, the use of data is very powerful in making informed decisions. Data analytics is a field that is interested in identifying and interpreting trends and patterns within big data to make data-driven decisions. We focus on informal statistical inference and data modeling as a means of developing students' data analytics…
Descriptors: Statistical Inference, Mathematics Skills, Mathematics Instruction, Secondary School Students
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Jensen, Emily; Hutt, Stephen; D'Mello, Sidney K. – Grantee Submission, 2019
Recent work in predictive modeling has called for increased scrutiny of how models generalize between different populations within the training data. Using interaction data from 69,174 students who used an online mathematics platform over an entire school year, we trained a sensor-free affect detection model and studied its generalizability to…
Descriptors: Generalization, Longitudinal Studies, Psychological Patterns, Identification
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Jensen, Emily; Hutt, Stephen; D'Mello, Sidney K. – International Educational Data Mining Society, 2019
Recent work in predictive modeling has called for increased scrutiny of how models generalize between different populations within the training data. Using interaction data from 69,174 students who used an online mathematics platform over an entire school year, we trained a sensor-free affect detection model and studied its generalizability to…
Descriptors: Generalization, Longitudinal Studies, Psychological Patterns, Identification
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Kotsopoulos, Donna; Makosz, Samantha; Zambrzycka, Joanna – Early Education and Development, 2017
Research Findings: In this research we explore the relationship between young children's number knowledge and their measurement of length. First, we examined 4- to 5-year-olds' (kindergartners') understanding of and preference for using standard or nonstandard units to measure length. Second, we investigated whether the following tasks were…
Descriptors: Young Children, Numeracy, Measurement, Kindergarten
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Llanos, Viviana Carolina; Otero, Maria Rita – International Journal of Research in Education and Science, 2018
This work analyses the changes in the relationship between arguing and images from the mathematics textbooks for the secondary school in Argentina (students 12-17 years old) along 67 years. The textbooks have been published in the period 1940 thru 2007. The analysis is done by (N = 137) textbooks based on three metacategories in an inductive way.…
Descriptors: Mathematics Instruction, Secondary School Mathematics, Textbooks, Foreign Countries
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Botts, Ryan T.; Carter, Lori; Crockett, Catherine – PRIMUS, 2018
The efforts to improve the quantitative reasoning (quantitative literacy) skills of college students in the United States have been gaining momentum in recent years. At the same time, the blended learning approach to course delivery has gained in popularity, promising better learning with flexible modalities and pace. This paper presents the…
Descriptors: Blended Learning, Statistical Analysis, Comparative Analysis, Outcomes of Education
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Zhang, Dake; Ding, Yi; Lee, Soo; Chen, Jinsong – Journal of Educational Research, 2017
Low mathematics achievement is a persistent problem in the United States, and multiplication is a fundamental area in which many students manifest learning difficulties. This study examined the strategic developmental levels of multiplication problem solving among 121 elementary school students in Grades 3 through 5. A latent class analysis…
Descriptors: Multiplication, Problem Solving, Strategic Planning, Multivariate Analysis
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Zhang, Xiao; Räsänen, Pekka; Koponen, Tuire; Aunola, Kaisa; Lerkkanen, Marja-Kristiina; Nurmi, Jari-Erik – Developmental Psychology, 2017
The longitudinal relations of domain-general and numerical skills at ages 6-7 years to 3 cognitive domains of arithmetic learning, namely knowing (written computation), applying (arithmetic word problems), and reasoning (arithmetic reasoning) at age 11, were examined for a representative sample of 378 Finnish children. The results showed that…
Descriptors: Arithmetic, Mathematics Instruction, Mathematical Logic, Short Term Memory
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Swanson, H. Lee; Olide, Andres F.; Kong, Jennifer E. – Journal of Educational Psychology, 2018
This study investigated whether a latent class of children with math difficulties (MD) or math learning disabilities (MLD) emerged within a heterogeneous sample of learners. A latent class analysis was computed on children (N = 447) in Grade 3 who were administered a battery of math, reading, and cognitive measures. The analysis yielded four…
Descriptors: Multivariate Analysis, Learning Disabilities, Short Term Memory, Low Achievement
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Schulz, Andreas – Mathematical Thinking and Learning: An International Journal, 2018
Theoretical analysis of whole number-based calculation strategies and digit-based algorithms for multi-digit multiplication and division reveals that strategy use includes two kinds of reasoning: reasoning about the relations between numbers and reasoning about the relations between operations. In contrast, algorithms aim to reduce the necessary…
Descriptors: Computation, Mathematics Instruction, Multiplication, Arithmetic
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Bengmark, S.; Thunberg, H.; Winberg, T. M. – International Journal of Mathematical Education in Science and Technology, 2017
This study examines different factors' relative importance for students' performance in the transition to university mathematics. Students' characteristics (motivation, actions and beliefs) were measured when entering the university and at the end of the first year. Principal component analysis revealed four important constructs:…
Descriptors: College Mathematics, Mathematics Instruction, Study Habits, Factor Analysis
Arabeyyat, Talal Hashem – ProQuest LLC, 2017
There is no doubt that teachers' knowledge and beliefs play a significant role in shaping how students learn mathematics. Nevertheless, research regarding the knowledge and beliefs of preservice teachers, including the cultural dimension, is very limited (Xenofontos & Andrews, 2012). The purpose of this study is to investigate the similarities…
Descriptors: Comparative Analysis, Preservice Teachers, Beliefs, Mathematics Instruction
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Polly, Drew; Wang, Chuang; Martin, Christie; Lambert, Richard; Pugalee, David; Middleton, Catherina – Early Childhood Education Journal, 2018
This study examined the influence of a professional development project about an internet-based mathematics formative assessment tool and related pedagogies on primary teachers' instruction and student achievement. Teachers participated in 72 h of professional development during the year. Descriptive statistics and multivariate analyses of…
Descriptors: Mathematics Instruction, Faculty Development, Mathematics Teachers, Elementary School Students
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