Evaluating a learning progression on ‘Transformation of Matter’ on the lower secondary level

Author:

Emden M.123ORCID,Weber K.4567,Sumfleth E.4567ORCID

Affiliation:

1. University of Education

2. CH-8090 Zuerich

3. Switzerland

4. University of Duisburg-Essen

5. Chemistry Education

6. 45127 Essen

7. Germany

Abstract

One of the most central tenets of chemistry education is developing an understanding of the processes that involve the Transformation of Matter. Current German curricula postulate content-related abilities (Kompetenzen) that are expected to be achieved by secondary students when graduating from the lower secondary level at grade 10. These abilities can further be differentiated as relating to either structural aspects of matter or to aspects of chemical reaction. Little is known of howKompetenzenin these two fields develop over time on the lower secondary level. This study aims at elucidating this development by suggesting a hypothetical learning progression for the lower secondary level. This learning progression is visualised as a Strand Map and is investigated using methods from three statistical approaches: Rasch-analyses, Classical Test Theory, and Bayesian Networks. Concurrent data from all three strands of analyses inform the evaluation of the learning progression and support the notion that an understanding of the Transformation of Matter relies on interrelatedKompetenzento conceptualize Structure of Matter and Chemical Reaction. Moreover, Bayesian networks underline that there is more than one progression when learning about chemistry on the lower secondary level.

Publisher

Royal Society of Chemistry (RSC)

Subject

Education,Chemistry (miscellaneous)

Reference58 articles.

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3. Barke H.-D., Harsch G. and Schmid S., (2012), Essentials of Chemical Education , Berlin: Springer

4. Bernholt S. and Parchmann I., (2011), Assessing the complexity of students' knowledge in chemistry, Chem. Educ. Res. Pract. , 12 (2), 167–173

5. Bond T. G. and Fox C. M., (2007), Applying the Rasch model: Fundamental measurement in the human sciences , Mahwah, NJ: Lawrence Erlbaum

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