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Dvir, Michal; Ben-Zvi, Dani – Instructional Science: An International Journal of the Learning Sciences, 2023
Estimating and accounting for statistical uncertainty have become essential in today's information age, and crucial for cultivating a sound decision making citizenry. Engaging with statistical uncertainty early on can support the gradual development of uncertainty-related considerations that are often challenging to foster at any age. Statistical…
Descriptors: Learning Processes, Computation, Numeracy, Attitudes
Chen, Ying-Chih; Techawitthayachinda, Ratrapee – Journal of Research in Science Teaching, 2021
Science teachers usually view students' uncertainty as a barrier to overcome, a negative experience to be avoided, a deficiency in need of remedy. Building on the theory of deep learning in science as a generative and sensemaking process, the purpose of this design-based study is to identify tactics for teachers to manage their students' epistemic…
Descriptors: Science Teachers, Science Instruction, Epistemology, Ambiguity (Context)
Lamnina, Marianna; Chase, Catherine C. – Instructional Science: An International Journal of the Learning Sciences, 2021
While many view learning as a process of reducing learners' uncertainty, research suggests that instruction that is uncertain can promote learning and transfer better than instruction that is certain. In addition, research on curiosity suggests that uncertainty is a key trigger of curiosity, which in turn can facilitate learning. However,…
Descriptors: Physics, Science Instruction, Instructional Effectiveness, Middle School Students