LEARNING GEOMETRY THROUGH MIMESIS AND DIGITAL CONSTRUCT
Maria Mion Pop and
Mihaela Giurgiulescu
Additional contact information
Maria Mion Pop: University of Bucharest, Faculty of Psychology and Educational Sciences, Romania
Mihaela Giurgiulescu: University of Bucharest, Faculty of Psychology and Educational Sciences, Romania
SEA - Practical Application of Science, 2015, issue 9, 45-50
Abstract:
The theme proposed by us is useful to teachers and students for mathematics in the compulsory school cycle. The issues faced by school teachers/parents are the difficulty with which students read and understand the lessons/examples/synthesis in order to assimilate technical terms. The echoic and iconic memory facilitates the learning of the specific curriculum of linear, spatial and analytical geometry by the students using digital platform designed by us; it facilitates the acquiring of the theoretical elements of applied geometry by encoding-decoding, so that the teacher's role becomes the one of the advisor and not only a person who transmits the information. The utility of the program extends from mainstream schools to special schools.
Keywords: Performance; Geometry; Encoding-decoding; Teacher advisor; Digital learning (search for similar items in EconPapers)
JEL-codes: I20 O33 (search for similar items in EconPapers)
Date: 2015
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://seaopenresearch.eu/Journals/articles/SPAS_9_8.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cmj:seapas:y:2015:i:9:p:45-50
Access Statistics for this article
SEA - Practical Application of Science is currently edited by Romanian Foundation for Business Intelligence
More articles in SEA - Practical Application of Science from Romanian Foundation for Business Intelligence, Editorial Department
Bibliographic data for series maintained by Serghie Dan ().