Reasoning from data: How students collect and interpret data in science investigations

By Zoe Kanari, R. Millar. 2004

218 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

The Impact of an Engineering Design Curriculum on Science Reasoning in an Urban Setting (2009, methodology): “This process is similar to proposing alternative hypotheses and choosing among them using evidence (Kanari and Millar 2004).”
Lab Work and Learning in Secondary School Chemistry: The Importance of Teacher and Student Interaction (2010, background): “Kanari and Millar (2004) explicitly addressed students’ (aged 10– 14) reasoning about measurement data and they reported that many students had great difficulty in interpreting data.”
The Emergence of Scientific Reasoning (2012, unknown): “Kanari and Millar (2004) found that”
The Development of Scientific Thinking Skills in Elementary and Middle School. (2007, methodology): “Klahr and Nigam suggested that the next set of issues to address include determining the kinds of individual diVerence characteristics that account for some students beneWting from the discovery context, but not others. That is, which learner traits are associated with the success of diVerent learni”
FOCUS ARTICLE: Implications of Research on Children's Learning for Standards and Assessment: A Proposed Learning Progression for Matter and the Atomic-Molecular Theory (2006, background): “See the recent work of Kanari and Millar (2004) for an example of such rubrics used in another content area for students in this grade range.”