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
Foreign Countries | 3 |
Pattern Recognition | 3 |
Science Education | 3 |
Academic Achievement | 2 |
Grade 6 | 2 |
Academic Standards | 1 |
Algorithms | 1 |
Ambiguity (Context) | 1 |
Bias | 1 |
Cluster Grouping | 1 |
Concept Formation | 1 |
More ▼ |
Author
Elby, Andrew | 1 |
Hammer, David | 1 |
Karimov, Ayaz | 1 |
Kärkkäinen, Tommi | 1 |
Saarela, Mirka | 1 |
Swatton, Peter | 1 |
Tang, Xiaowei | 1 |
Publication Type
Reports - Research | 3 |
Journal Articles | 2 |
Speeches/Meeting Papers | 1 |
Education Level
Elementary Education | 1 |
Grade 5 | 1 |
Grade 6 | 1 |
Grade 7 | 1 |
Intermediate Grades | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Tang, Xiaowei; Elby, Andrew; Hammer, David – Science Education, 2020
Through analysis of a classroom lesson led by a decorated teacher, we illustrate how instructional practices favor students seeking empirical patterns at the expense of using mechanistic reasoning. In the lesson, when students spontaneously come up with hypothetical mechanisms to explain why a light bulb in an electric circuit does or does not…
Descriptors: Foreign Countries, Pattern Recognition, Logical Thinking, Concept Formation
Karimov, Ayaz; Saarela, Mirka; Kärkkäinen, Tommi – International Educational Data Mining Society, 2023
Within the last decade, different educational data mining techniques, particularly quantitative methods such as clustering, and regression analysis are widely used to analyze the data from educational games. In this research, we implemented a quantitative data mining technique (clustering) to further investigate students' feedback. Students played…
Descriptors: Student Attitudes, Feedback (Response), Educational Games, Information Retrieval

Swatton, Peter – Research in Science and Technological Education, 1994
The Assessment of Performance Unit recognized the importance of reading and interpreting data but saw them as discrete aspects of "process" science. However, pupil performance on different components of the same data-handling assessment question is often very variable, indicating that these questions carry "hidden" cognitive…
Descriptors: Academic Achievement, Data Interpretation, Elementary Education, Foreign Countries