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Showing 1 to 15 of 24 results Save | Export
Fitzallen, Noleine; Watson, Jane – Mathematics Education Research Group of Australasia, 2023
This paper reports on students' experiences of describing and representing variation in hypothetical data. Fifty-six students (8-9 years-old) experienced collecting and working with quantitative data for two years as part of a STEM education project. The task described here was an end-of-year survey question, with three parts about a hypothetical…
Descriptors: Elementary School Students, STEM Education, Foreign Countries, Data Analysis
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MacGregor, Stephen W.; Cooper, Amanda – AERA Online Paper Repository, 2022
We interrogate the opportunities and challenges of using mixed methods (MM) within a developmental evaluation (DE) context by drawing on two illustrative cases that investigated educational change in Canada. Methods: Multi-case design and cross-case analysis, with a focus on examining common patterns across the two cases, enabling new ways of…
Descriptors: Mixed Methods Research, Evaluation Methods, Barriers, Educational Change
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Lorenzen, Stephan; Hjuler, Niklas; Alstrup, Stephen – International Educational Data Mining Society, 2018
Analysis of log data generated by online educational systems is an essential task to better the educational systems and increase our understanding of how students learn. In this study we investigate previously unseen data from Clio Online, the largest provider of digital learning content for primary schools in Denmark. We consider data for 14,810…
Descriptors: Data Collection, Student Behavior, Elementary School Students, Foreign Countries
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Perry, Lindsey – AERA Online Paper Repository, 2017
Before an assessment is used to make decisions, the validity of the intended interpretation must be evaluated. The purpose of this paper is to describe how the argument-based approach and an interpretation/use argument (IUA) (Kane, 2013) were used to validate the interpretations made from the new Early Grade Mathematics Assessment (EGMA)…
Descriptors: Student Evaluation, Mathematics Tests, Test Interpretation, Inferences
Muir, Tracey – Mathematics Education Research Group of Australasia, 2021
National testing and reform agendas, with their focus on school improvement, has led to increased collection and scrutiny of student data. The analysis of these data usually occurs at a school level, often by school leaders. What is less common is the opportunity for students to scrutinise their individual data and take ownership over the results…
Descriptors: Mathematics Instruction, Mathematics Achievement, Foreign Countries, Computation
Smith, P. Sean; Esch, R. Keith; Hayes, Meredith L.; Plumley, Courtney L. – Horizon Research, Inc., 2016
This paper, presented at the 2016 [National Association for Research in Science Teaching] NARST Annual International Conference, summarizes the work to date of the Knowledge Assets to Support the Science Instruction of Elementary Teachers (ASSET) project. ASSET is exploring a method for collecting and synthesizing pedagogical content knowledge…
Descriptors: Pedagogical Content Knowledge, Science Instruction, Elementary School Teachers, Data Collection
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Zheng, Longwei; Shi, Rui; Wu, Bingcong; Gu, Xiaoqing; Feng, Yuanyuan – International Educational Data Mining Society, 2017
The adoption of educational technologies such as e-textbook has offered a new opportunity to gain insight into teachers' usage of ICT (Information and Communication Technologies). In the e-textbook platform, customized digital products and the learning activities organized in digital environment require teachers to make greater efforts in planning…
Descriptors: Educational Technology, Technology Uses in Education, Visualization, Data Collection
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Lee, Carrie W.; Walkowiak, Temple A. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2015
The purpose of this study was to examine the mathematics instructional practices of 75 second-year elementary teachers (K-5) in terms of the learning opportunities provided to their students. On average, each teacher completed instructional logs for 43 days across the school year. Select items were analyzed in order to better understand the…
Descriptors: Beginning Teachers, Elementary School Teachers, Educational Practices, Problem Solving
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Yeung, Cheuk Yu; Shum, Kam Hong; Hui, Lucas Chi Kwong; Chu, Samuel Kai Wah; Chan, Tsing Yun; Kuo, Yung Nin; Ng, Yee Ling – International Association for Development of the Information Society, 2017
Attributes of teaching and learning contexts provide rich information about how students participate in learning activities. By tracking and analyzing snapshots of these attributes captured continuously throughout the duration of the learning activities, teachers can identify individual students who need special attention and apply different…
Descriptors: Mathematics Instruction, Educational Technology, Technology Uses in Education, Handheld Devices
Wilson, Sue – Mathematics Education Research Group of Australasia, 2015
Mathematics anxiety affects primary pre-service teachers' engagement with and future teaching of mathematics. The study aimed to assess the level and range of mathematics anxiety in first year pre-service teachers entering their teacher education course, and to investigate the sources of this anxiety as perceived and identified by them. Data…
Descriptors: Preservice Teachers, Mathematics Anxiety, Mathematics Instruction, Teacher Education
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Schnell, Susanne – North American Chapter of the International Group for the Psychology of Mathematics Education, 2014
This paper contributes to the discourse in stochastic education of how young students deal with learning settings that allow a data-based approach to probability. By using the micro-structure of arguments by Toulmin (1958), it explores which arguments students use and which role they play in the learning process. The data stems from design…
Descriptors: Probability, Persuasive Discourse, Experiments, Inferences
Doroudi, Shayan; Holstein, Kenneth; Aleven, Vincent; Brunskill, Emma – Grantee Submission, 2016
How should a wide variety of educational activities be sequenced to maximize student learning? Although some experimental studies have addressed this question, educational data mining methods may be able to evaluate a wider range of possibilities and better handle many simultaneous sequencing constraints. We introduce Sequencing Constraint…
Descriptors: Sequential Learning, Data Collection, Information Retrieval, Evaluation Methods
Miller, Jodie – Mathematics Education Research Group of Australasia, 2015
The aim of this study was to determine the role of semiotics in assisting young Indigenous students to engage with and identify the general structure of growing patterns. The theoretical perspective of semiotics underpinned the study. Data are drawn from two Year 3 students, including analysis of pretest questions and two conjecture-driven…
Descriptors: Grade 1, Grade 2, Foreign Countries, Indigenous Populations
McDonough, Andrea; Ferguson, Sarah – Mathematics Education Research Group of Australasia, 2014
This paper draws on two studies, one conducted by each author, where procedures for gaining insights into people's beliefs about mathematics and learning were developed or adapted for use by the researcher. In this paper we discuss the use in each study of variations of the procedure called "Pupil Perceptions of Effective Learning…
Descriptors: Beliefs, Teacher Surveys, Student Surveys, Interviews
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Sao Pedro, Michael A.; Gobert, Janice D.; Baker, Ryan S. – Grantee Submission, 2014
We explore in this paper if automated scaffolding delivered via a pedagogical agent within a simulation can help students acquire data collection inquiry skills. Our initial analyses revealed that such scaffolding was effective for helping students who initially did not know two specific skills, designing controlled experiments and testing stated…
Descriptors: Automation, Scaffolding (Teaching Technique), Intelligent Tutoring Systems, Data Collection
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