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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00003253naa a2200373 4500
001oai:DiVA.org:mau-40701
003SwePub
008210215s2019 | |||||||||||000 ||eng|
024a https://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-407012 URI
040 a (SwePub)mau
041 a engb eng
042 9 SwePub
072 7a vet2 swepub-contenttype
072 7a kon2 swepub-publicationtype
100a Petersson, Jöranu Malmö universitet,Institutionen för skolutveckling och ledarskap (SOL),FoNS4 aut0 (Swepub:mau)aj6170
2451 0a A fit model for model fitting :b an a-didactical situation for model building
264 1c 2019
338 a electronic2 rdacarrier
520 a Mathematical modelling in school mathematics encompasses a wide range of questions such as curricular aspects, mathematical concepts involved, orchestrating lesson activities, and many more. When building models, one approach is to use epistemological arguments and another approach is to base the model on empirical data. In the latter case, we can either focus on applying the resulting model to real life problems or we can focus on the mathematical methods needed to find the resulting model. In this empirical study, students in school year 10 in Sweden were asked “How do you think a digital tool calculates the fitted curve?” Doing so, the students were given an open-response task where they themselves are expected to develop mathematical knowledge that is new to them. One outcome of the students’ work was the following: They suggested mathematical methods corresponding to those analytical and geometrical methods that have been developed and used through the history of mathematics. Moreover, they suggested both discrete and continuous metric spaces as a means for measuring the distance between data and model. They also suggested modern methods from exploratory data analysis such as trimming the empirical data before fitting the model to them. Another outcome was that the tasks for the students were formulated so that they promoted and enthused the students’ mathematical creativity and reasoning in a way that in this mathematical area reached far beyond the curriculum for secondary school mathematics.
650 7a SAMHÄLLSVETENSKAPx Utbildningsvetenskapx Didaktik0 (SwePub)503022 hsv//swe
650 7a SOCIAL SCIENCESx Educational Sciencesx Didactics0 (SwePub)503022 hsv//eng
653 a Curve fitting
653 a didactic situation
653 a mathematics
653 a modelling
653 a secondary school
653 a Mathematics education
653 a Matematikens didaktik
710a Malmö universitetb Institutionen för skolutveckling och ledarskap (SOL)4 org
773t NOFA7 Abstracts, Stockholm University, 13 - 15 May 2019g , s. 169-169q <169-169
856u https://www.su.se/polopoly_fs/1.437496.1557495063!/menu/standard/file/NOFA7%20abstracts%20190510.pdfy Fulltext
856u https://mau.diva-portal.org/smash/get/diva2:1528264/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
856u https://mau.diva-portal.org/smash/get/diva2:1528264/FULLTEXT02.epubx primaryx Raw objecty fulltext:print
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-40701

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