Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 6 |
Descriptor
Classification | 6 |
Task Analysis | 6 |
High School Students | 5 |
Models | 4 |
Foreign Countries | 3 |
Teaching Methods | 3 |
Coding | 2 |
Computer Simulation | 2 |
Correlation | 2 |
Epistemology | 2 |
Physics | 2 |
More ▼ |
Source
International Educational… | 1 |
International Journal of… | 1 |
Journal of Educational… | 1 |
Journal of Statistics and… | 1 |
Reading Research Quarterly | 1 |
Statistics Education Research… | 1 |
Author
Anna Fergusson | 1 |
Barnes, Tiffany, Ed. | 1 |
Chi, Min, Ed. | 1 |
Cho, Byeong-Young | 1 |
Feng, Mingyu, Ed. | 1 |
Green-Demers, Isabelle | 1 |
Kataoka, Verônica Yumi | 1 |
Legault, Lisa | 1 |
Li, Dan | 1 |
Maxine Pfannkuch | 1 |
Pelletier, Luc | 1 |
More ▼ |
Publication Type
Journal Articles | 5 |
Reports - Research | 5 |
Collected Works - Proceedings | 1 |
Education Level
High Schools | 6 |
Secondary Education | 3 |
Grade 11 | 1 |
Higher Education | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Postsecondary Education | 1 |
Audience
Location
Afghanistan | 1 |
Brazil | 1 |
Illinois (Chicago) | 1 |
New Zealand | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Anna Fergusson; Maxine Pfannkuch – Journal of Statistics and Data Science Education, 2024
Statistics teaching at the high school level needs modernizing to include digital sources of data that students interact with every day. Algorithmic modeling approaches are recommended, as they can support the teaching of data science and computational thinking. Research is needed about the design of tasks that support high school statistics…
Descriptors: High School Students, Statistics Education, Thinking Skills, Computer Science Education
Cho, Byeong-Young; Woodward, Lindsay; Li, Dan – Reading Research Quarterly, 2018
This study examines how the beliefs that adolescent readers hold about knowledge and knowing are activated during online reading. The research questions center on the pattern of these readers' epistemic processes through which more or less productive learning occurs. High school students performed a critical online reading task on a controversial…
Descriptors: Reading Processes, Epistemology, Student Attitudes, Task Analysis
Vita, Aida Carvalho; Kataoka, Verônica Yumi – Statistics Education Research Journal, 2014
The objective of this paper is to discuss how blind students learn basic concepts of probability using the tactile model proposed by Vita (2012). Among the activities were part of the teaching sequence "Jefferson's Random Walk", in which students built a tree diagram (using plastic trays, foam cards, and toys), and pictograms in 3D…
Descriptors: Probability, Blindness, Disabilities, Learning Strategies
Sins, Patrick H. M.; Savelsbergh, Elwin R.; van Joolingen, Wouter R.; van Hout-Wolters, Bernadette H. A. M. – International Journal of Science Education, 2009
While many researchers in science education have argued that students' epistemological understanding of models and of modelling processes would influence their cognitive processing on a modelling task, there has been little direct evidence for such an effect. Therefore, this study aimed to investigate the relation between students' epistemological…
Descriptors: Educational Practices, Computer Simulation, Cognitive Processes, Epistemology
Legault, Lisa; Green-Demers, Isabelle; Pelletier, Luc – Journal of Educational Psychology, 2006
The present series of studies sought to develop and conceptually validate a taxonomy of reasons that give rise to academic amotivation and to investigate its social antecedents and academic consequences. In Study 1 (N = 351), an exploratory factor analysis offered preliminary support for an academic amotivation taxonomy comprising four dimensions:…
Descriptors: High School Students, Student Motivation, Academic Aspiration, Case Studies
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction