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Showing all 12 results Save | Export
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Frances Edwards; Bronwen Cowie – set: Research Information for Teachers, 2024
Data literacy enables teachers to use information collected about students and their learning to take data-informed instructional action. This article outlines two approaches developed by teachers to provide teaching targeted to the immediate needs of specific students that moved beyond "gap-filling". The pre-teaching and "fresh…
Descriptors: Data Use, Decision Making, Mathematics Instruction, Personal Autonomy
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Dunn, Peter K.; Marshman, Margaret F. – Teaching Mathematics and Its Applications, 2020
Mathematics teachers are often keen to find ways of connecting mathematics with the real world. One way to do so is to teach mathematical modelling using real data. Mathematical models have two components: a model structure and parameters within that structure. Real data can be used in one of two ways for each component: (a) to…
Descriptors: Mathematics Instruction, Mathematical Models, Teaching Methods, Data Use
Bianca Croutch – ProQuest LLC, 2023
U.S. middle school teachers have struggled to meet the instructional needs of students in the area of mathematics. Teachers' approaches to assessment and instructional strategies remain understudied; such knowledge could help educational leaders to devise strategies to boost student achievement. The purpose of this qualitative study was to examine…
Descriptors: Mathematics Teachers, Middle School Teachers, Teacher Attitudes, Mathematics Instruction
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Robin S. Codding; Amanda VanDerHeyden; Reina Chehayeb – Remedial and Special Education, 2024
This study extends prior research by manipulating both intervention and skill difficulty using a multiple baseline across participants design with changing phases in a virtual tutoring environment. Participants were four U.S. students from third and fifth grades for whom appropriate and challenging instructional targets were selected following…
Descriptors: Mathematics Instruction, Data Use, Teaching Methods, Intervention
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Jones, Joshua David – Mathematics Teacher: Learning and Teaching PK-12, 2022
To be literate in a society where the information shared online is often exploited, learners should be exposed to multiple aspects of contemporary predictive modeling. This article explores an activity in which grade 10 students learned how a famous AI algorithm (the Apriori algorithm) uses conditional probability to automate the process of…
Descriptors: Mathematics Instruction, Teaching Methods, Grade 10, High School Students
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Salas-Rueda, Ricardo-Adán – Canadian Journal of Learning and Technology, 2021
The aim of this quantitative research is to analyze the impact of Facebook in the teaching-learning process in financial mathematics education, using data science, machine learning, and neural networks. The sample is composed of 46 students from the Bachelor of Administration, Commerce and Marketing program at La Salle University. The results of…
Descriptors: Social Media, Mathematics Instruction, Data Use, Undergraduate Students
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Beamer, Zachary – Inquiry, 2021
In corequisite models of instruction, marginally prepared students are placed directly into college-level coursework, taught with a paired support course. Initial research suggests that such models yield significant improvements in the number of students passing credit-level mathematics when compared to previous models of prerequisite remediation.…
Descriptors: Required Courses, Developmental Studies Programs, College Mathematics, Community Colleges
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Rivera, Roberto; Marazzi, Mario; Torres-Saavedra, Pedro A. – Journal of Statistics Education, 2019
The 2016 Guidelines for Assessment and Instruction in Statistics Education (GAISE) College Report emphasized six recommendations to teach introductory courses in statistics. Among them: use of real data with context and purpose. Many educators have created databases consisting of multiple datasets for use in class; sometimes making hundreds of…
Descriptors: Introductory Courses, Statistics, Guidelines, Mathematics Instruction
Himmele, Pérsida; Himmele, William – ASCD, 2021
Old habits die hard, particularly when they are part of the unexamined norms of schooling. In "Why Are We Still Doing That?," the best-selling authors of "Total Participation Techniques" lead a teacher-positive, empathetic inquiry into 16 common educational practices that can undermine student learning: (1) Round robin reading;…
Descriptors: Teaching Methods, Educational Practices, Elementary Secondary Education, Reading Instruction
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Van Lare, Michelle D. – Journal of School Leadership, 2016
Ever-growing expectations exist for educators to use assessments to collect, analyze, and interpret data, but how, if at all, are these processes affecting instruction? This descriptive case study of one team of second grade teachers offers an analysis of the links between teachers' use of data within their collaborative team meetings and…
Descriptors: Data Collection, Data Use, Teaching Methods, Grade 2
Crane, Eric W.; Makkonen, Reino – WestEd, 2019
For several years, WestEd's Measure to Learn and Improve (MLI) project team has kept California state policy leaders informed about the statewide implementation of the California Academic Standards in English language arts and mathematics, by summarizing and disseminating results from the RAND Corporation's annual American Educator Panel (AEP)…
Descriptors: Academic Standards, State Policy, Language Arts, Mathematics Instruction
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Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use