Teacher Supports: Talk Science
A brief overview of teacher tools that promote student discourse in the classroom. A summary of why spend your time on talk in the science classroom and its functions.
A brief overview of teacher tools that promote student discourse in the classroom. A summary of why spend your time on talk in the science classroom and its functions.
A table of different verbal and non-verbal tools that help students participate in science discourse. Contains examples of productive talk moves.
Every Learning Experience in Foundation Science Begins with a brainstorming activity. This six minute video explains how brainstorming can be used to determine prior knowledge of your students, introduce new content, and establish a safe classroom culture for sharing ideas.
In this short text, the power of formative assessment as a teaching tool is detailed, and examples of opportunities for formative assessment within Foundation Science Biology proposed, for Learning Experiences (LE) 2, 3 and 4.
This short text provides a description of different ways in which the curriculum can be modified to meet the needs of teachers and students while still retaining the intentions of the developers. Examples of possible modifications are provided.
This short text provides a description of different ways in which the curriculum can be modified to meet the needs of teachers and students while still retaining the intentions of the developers. Examples of possible modifications are provided.
This short text explains the reasoning for the sequencing of the content in Foundation Science: Biology. Specifically, it describes the content sequence for the full year curriculum, for the Genetics Unit, for a Learning Experience, and provides examples.
Research in student knowledge and learning of science has typically focused on explaining conceptual change. Recent research, however, documents the great degree to which student thinking is dynamic and context-sensitive, implicitly calling for explanations not only of change but also of stability. In other words, when a pattern of student reasoning is sustained in specific moments and settings, what mechanisms contribute to sustaining it? We characterize student understanding and behavior in terms of multiple local coherences in that they may be variable yet still exhibit local stabilities. We attribute stability in local conceptual coherences to real-time activities that sustain these coherences. For example, particular conceptual understandings may be stabilized by the linguistic features of a worksheet question or by feedback from the students’ spatial arrangement and orientation. We document a group of university students who engage in multiple local conceptual coherences while thinking about motion during a collaborative learning activity. As the students shift their thinking several times, we describe mechanisms that may contribute to local stability of their reasoning and behavior.
The Energy Project at Seattle Pacific University has developed representations that embody the substance metaphor and support learners in conserving and tracking energy as it flows from object to object and changes form. Such representations enable detailed modeling of energy dynamics in complex physical processes. We assess student learning by means of representations that learners invent to explain energy dynamics in specific real-world scenarios. Refined versions of these learner-generated representations have proven valuable for our own teaching, physics understanding, and research.
The nature of energy is not typically an explicit topic of physics instruction. Nonetheless, verbal and graphical representations of energy articulate models in which energy is conceptualized as a quasimaterial substance, a stimulus, or a vertical location. We argue that a substance ontology for energy is particularly productive in developing understanding of energy transfers and transformations. We analyze classic representations of energy—bar charts, pie charts, and others—to determine the energy ontologies that are implicit in those representations, and thus their affordances for energy learning. We find that while existing representations partially support a substance ontology for energy and thus the learning goal of energy conservation, they have limited utility for tracking the flow of energy among objects.
Redistricting can provide a real-world application for use in a wide range of mathematics classrooms.