Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 3 |
Descriptor
Data Analysis | 3 |
Lesson Plans | 3 |
Science Process Skills | 3 |
Data Collection | 2 |
Inquiry | 2 |
Science Instruction | 2 |
Secondary School Science | 2 |
Accountability | 1 |
Computation | 1 |
Data Interpretation | 1 |
Error Patterns | 1 |
More ▼ |
Source
Science Teacher | 3 |
Author
Baker, Irene | 1 |
Bonner, David | 1 |
Burton, Erin Peters | 1 |
Burton, Stephen | 1 |
Cleary, Timothy | 1 |
Egan, Garrett | 1 |
Ellsworth, Jordan | 1 |
Kastens, Kim | 1 |
Kitsantas, Anastasia | 1 |
Krumhansl, Ruth | 1 |
Rich, Peter | 1 |
More ▼ |
Publication Type
Journal Articles | 3 |
Reports - Descriptive | 3 |
Education Level
High Schools | 2 |
Secondary Education | 1 |
Audience
Teachers | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Burton, Erin Peters; Rich, Peter; Cleary, Timothy; Burton, Stephen; Kitsantas, Anastasia; Egan, Garrett; Ellsworth, Jordan – Science Teacher, 2020
Students often need to obtain, organize, clean, and analyze data in order to draw conclusions about a particular phenomenon (e.g., why tidal heights change). When conducting a science investigation in biology, chemistry, physics, or Earth science, data can be collected by the student or can be provided to them via secondary data sets. This article…
Descriptors: Computation, Thinking Skills, Data Collection, Data Analysis
Kastens, Kim; Krumhansl, Ruth; Baker, Irene – Science Teacher, 2015
This article is aimed at teachers already experienced with activities involving small, student-collected data sets and who are now ready to begin working with large, online data sets collected by scientists and engineers. The authors discuss challenges, instructional strategies, and sources of appropriate lesson plans. With guidance, plus online…
Descriptors: Science Instruction, Data Collection, Data Analysis, Data Interpretation
Bonner, David – Science Teacher, 2012
Conducting labs isn't a new way to teach physics, but labs have become increasingly prevalent with the rise of inquiry. Physics students collect mostly quantitative data, often represented by graphs or tables. Interpreting this data can be a challenge for students, especially when it comes to experimental error. To address this issue, this article…
Descriptors: Physics, Science Instruction, Science Laboratories, Inquiry