| Title: |
Classification and Analysis of Pre-Service Teachers' Errors in Solving Fermi Problems |
| Authors: |
Segura, Carlos (ORCID 0000-0002-1457-5740); Ferrando, Irene (ORCID 0000-0003-3746-4581) |
| Source: |
Education Sciences. 2021 11. |
| Availability: |
MDPI AG. Klybeckstrasse 64, 4057 Basel, Switzerland. Tel: e-mail: indexing@mdpi.com; Web site: http://www.mdpi.com |
| Peer Reviewed: |
Y |
| Page Count: |
19 |
| Publication Date: |
2021 |
| Document Type: |
Journal Articles; Reports - Research |
| Education Level: |
Higher Education; Postsecondary Education; Elementary Education |
| Descriptors: |
Error Patterns; Problem Solving; Preservice Teachers; Elementary School Teachers; Preservice Teacher Education; Mathematics Instruction; Mathematical Models; Elementary School Mathematics; Computation; Measurement; Foreign Countries |
| Geographic Terms: |
Spain (Valencia) |
| ISSN: |
2227-7102 |
| Abstract: |
Fermi problems are useful for introducing modelling in primary school classrooms, although teachers' difficulties in problem solving may hinder their successful implementation. These difficulties are associated with the modelling process, but also with the estimation and measurement skills required by Fermi problems. In this work, a specific categorization of errors for Fermi problems was established, and it allowed us to analyse the errors of N = 224 pre-service primary school teachers. The results showed that prospective teachers make a large number of errors when solving this type of task, especially conceptual ones, which are associated with the process of simplifying/structuring the real situation and the mathematization process. They also showed that there is a significant relationship between the characteristics of the problem context and the error categories. Knowing the types of errors that prospective teachers make and designing task sequences that make them emerge so that prospective teachers learn from them could be an effective way to improve initial teacher education in modelling and estimation problem solving. |
| Abstractor: |
As Provided |
| Entry Date: |
2021 |
| Accession Number: |
EJ1307340 |
| Database: |
ERIC |