Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 5 |
Descriptor
Grade 9 | 5 |
Inquiry | 5 |
High School Students | 3 |
Secondary School Science | 3 |
Active Learning | 2 |
Computer Simulation | 2 |
Models | 2 |
Observation | 2 |
Science Education | 2 |
Science Instruction | 2 |
Science Teachers | 2 |
More ▼ |
Source
Journal of Science Education… | 5 |
Author
Blikstein, Paulo | 1 |
Chen, Guanhua | 1 |
Clarke, David | 1 |
Fuhrmann, Tamar | 1 |
Hsu, Ying-Shao | 1 |
Huang, Xudong | 1 |
Langbeheim, Elon | 1 |
Li, Chenglu | 1 |
Lin, Li-Fen | 1 |
Massicotte, Joyce | 1 |
Perl, David | 1 |
More ▼ |
Publication Type
Journal Articles | 5 |
Reports - Research | 5 |
Education Level
Grade 9 | 5 |
High Schools | 5 |
Junior High Schools | 4 |
Middle Schools | 4 |
Secondary Education | 4 |
Elementary Education | 1 |
Grade 4 | 1 |
Intermediate Grades | 1 |
Audience
Location
China | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Langbeheim, Elon; Perl, David; Yerushalmi, Edit – Journal of Science Education and Technology, 2020
This study focuses on science teachers' first encounter with computational modeling in professional development workshops. It examines the factors shaping the teachers' self-efficacy and attitudes towards integrating computational modeling within inquiry-based learning modules for 9th grade physics. The learning modules introduce phenomena, the…
Descriptors: Science Teachers, Secondary School Teachers, Teacher Attitudes, Grade 9
Sung, Shannon H.; Li, Chenglu; Chen, Guanhua; Huang, Xudong; Xie, Charles; Massicotte, Joyce; Shen, Ji – Journal of Science Education and Technology, 2021
In this paper, we demonstrate how machine learning could be used to quickly assess a student's multimodal representational thinking. Multimodal representational thinking is the complex construct that encodes how students form conceptual, perceptual, graphical, or mathematical symbols in their mind. The augmented reality (AR) technology is adopted…
Descriptors: Observation, Artificial Intelligence, Knowledge Representation, Grade 9
Blikstein, Paulo; Fuhrmann, Tamar; Salehi, Shima – Journal of Science Education and Technology, 2016
In this paper, we investigate an approach to supporting students' learning in science through a combination of physical experimentation and virtual modeling. We present a study that utilizes a scientific inquiry framework, which we call "bifocal modeling," to link student-designed experiments and computer models in real time. In this…
Descriptors: High School Students, Secondary School Science, Science Education, Models
Wang, Lei; Zhang, Ronghui; Clarke, David; Wang, Weizhen – Journal of Science Education and Technology, 2014
Enactment of scientific inquiry in classroom has attracted a great attention of science educators around the world. In this study, we examined two competent teachers' (one Grade 9 chemistry teacher and one Grade 4 science teacher) enactment of scientific inquiry in selected teaching units to reveal the characteristics of enacted inquiry at…
Descriptors: Foreign Countries, Science Instruction, Case Studies, Inquiry
Lin, Li-Fen; Hsu, Ying-Shao; Yeh, Yi-Fen – Journal of Science Education and Technology, 2012
Several researchers have investigated the effects of computer simulations on students' learning. However, few have focused on how simulations with authentic contexts influences students' inquiry skills. Therefore, for the purposes of this study, we developed a computer simulation (FossilSim) embedded in an authentic inquiry lesson. FossilSim…
Descriptors: Investigations, Computer Simulation, Inquiry, Active Learning