Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 2 |
Descriptor
Data Analysis | 3 |
Data Interpretation | 3 |
Mathematics Tests | 3 |
Scores | 2 |
Achievement Tests | 1 |
Advanced Placement | 1 |
Comprehension | 1 |
Computer Assisted Testing | 1 |
Data Use | 1 |
Educational Trends | 1 |
Elementary Education | 1 |
More ▼ |
Author
Caldwell, Amanda | 1 |
Cheng Liu | 1 |
Curcio, Frances R. | 1 |
Hawe, Eleanor | 1 |
Teresa M. Ober | 1 |
Yikai Lu | 1 |
Ying Cheng | 1 |
Publication Type
Reports - Research | 2 |
Guides - Classroom - Teacher | 1 |
Journal Articles | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Elementary Education | 1 |
High Schools | 1 |
Secondary Education | 1 |
Audience
Practitioners | 1 |
Teachers | 1 |
Location
New Zealand | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Yikai Lu; Teresa M. Ober; Cheng Liu; Ying Cheng – Grantee Submission, 2022
Machine learning methods for predictive analytics have great potential for uncovering trends in educational data. However, simple linear models still appear to be most widely used, in part, because of their interpretability. This study aims to address the issues of interpretability of complex machine learning classifiers by conducting feature…
Descriptors: Prediction, Statistics Education, Data Analysis, Learning Analytics
Caldwell, Amanda; Hawe, Eleanor – Assessment Matters, 2016
Assessment can be powerful when teachers are able to analyse, interpret and use information in ways that enhance their teaching and programmes, and students' learning. A qualitative approach was used to investigate how teachers of Years 4-8 students analyse, interpret and use information gained from administration of the Progressive Achievement…
Descriptors: Data Use, Data Interpretation, Data Analysis, Achievement Tests
Curcio, Frances R. – 1989
This book provides elementary and middle school teachers with practical ideas on the use and teaching of graphs. Five sections consist of: (1) "Graphs--What Are They and How Are They Used?"; (2) "Levels of Graph Comprehension"; (3) "Collecting, Organizing, and Analyzing Data"; (4) "Constructing, Interpreting, and Writing about Graphs"; and (5)…
Descriptors: Comprehension, Data Analysis, Data Interpretation, Elementary Education