Arbeitspapier
Teaching ‘out of field’ in STEM subjects in Australia: Evidence from PISA 2015
Science, technology, engineering and mathematics (STEM) education is a critical part of a modern education system. Motivating students to learn STEM subjects is however a challenge. Teachers have a critical role in motivating students but to do this effectively they need to have appropriate subject matter knowledge. Data from PISA 2015 show a substantial proportion of teachers in Australian schools are teaching STEM subjects ‘out-of-field’, which is that they do not have the qualifications to teach these subjects. This paper examines the effects of individual teacher characteristics and school context on of out-of-field teaching in STEM subjects. In particular, it examines the role of school autonomy and staff shortage in this. The results show these two variables have a strong association with out-of-field teaching, however, other factors either mediate or confound their effects. A full understanding of the results requires knowing the role of school funding and school budgets in out-of-field teaching. While we do not have direct measures of these in the data, we can infer their likely roles through the effects of other factors, such as school sector and education level of parents of students in the school, in the model.
- Sprache
-
Englisch
- Erschienen in
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Series: GLO Discussion Paper ; No. 511 [rev.]
- Klassifikation
-
Wirtschaft
Single Equation Models; Single Variables: Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
Educational Finance; Financial Aid
Education and Inequality
Labor Demand
Human Capital; Skills; Occupational Choice; Labor Productivity
- Thema
-
out-of-field teaching
teacher supply and demand
multi-level logit model
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Shah, Chandra
Richardson, Paul
Watt, Helen
- Ereignis
-
Veröffentlichung
- (wer)
-
Global Labor Organization (GLO)
- (wo)
-
Essen
- (wann)
-
2020
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Shah, Chandra
- Richardson, Paul
- Watt, Helen
- Global Labor Organization (GLO)
Entstanden
- 2020