This article reviews research on the Finnish model of peer-group mentoring (PGM). The theoretical foundation of the model is based on the constructivist theory of learning, the concept of autonomy in teaching profession, peer learning, and narrative identity work. The model has been disseminated nationwide in the educational sector to promote professional development of teachers and educational staff, mainly in primary and secondary education, but also in early childhood education and higher education. The thematic review is based on 46 peer-reviewed publications about PGM in Finland in 2009-2019. Research has focused on the following main themes: (1) general aspects and characteristics of the implementation of the model; and (2) mentors' and mentees' experiences. The qualitative approach has been dominant in research. The studies show that both mentors and mentees find PGM a useful tool for individual professional learning and well-being. Indirect influences have been reported about the development of work communities. The main challenges in applying the model are the lack of national agreement concerning the organization of PGM and allocation of mentors' and mentees' working time to PGM. It is concluded that PGM, as well as teachers' professional development as a whole, should be seen as an integral part of the educational ecosystem.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1111/nyas.14296 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
CompSafeNano project: NanoInformatics approaches for safe-by-design nanomaterials.
Comput Struct Biotechnol J
December 2024
NovaMechanics Ltd, Nicosia 1070, Cyprus.
The CompSafeNano project, a Research and Innovation Staff Exchange (RISE) project funded under the European Union's Horizon 2020 program, aims to advance the safety and innovation potential of nanomaterials (NMs) by integrating cutting-edge nanoinformatics, computational modelling, and predictive toxicology to enable design of safer NMs at the earliest stage of materials development. The project leverages Safe-by-Design (SbD) principles to ensure the development of inherently safer NMs, enhancing both regulatory compliance and international collaboration. By building on established nanoinformatics frameworks, such as those developed in the H2020-funded projects NanoSolveIT and NanoCommons, CompSafeNano addresses critical challenges in nanosafety through development and integration of innovative methodologies, including advanced models, approaches including machine learning (ML) and artificial intelligence (AI)-driven predictive models and 1st-principles computational modelling of NMs properties, interactions and effects on living systems.
View Article and Find Full Text PDFApplication of GUHA data mining method in cohort data to explore paths associated with premature death: a 29-year follow-up study.
BMC Med Res Methodol
January 2025
Faculty of Social Sciences (Health Sciences) and Gerontology Research Center (GEREC), Tampere Universities, Tampere, Finland.
Background And Method: This study set out to identify the factors and combinations of factors associated with the individual's premature death, using data from the Finnish Longitudinal Study on Ageing Municipal Employees (FLAME) which involved 6,257 participants over a 29-year follow-up period. Exact dates of death were obtained from the Finnish population register. Premature death was defined as a death occurring earlier than the age- and sex-specific actuarial life expectancy indicated by life tables for 1981, as the baseline, with the threshold period of nine months.
View Article and Find Full Text PDFIs Ockham's razor losing its edge? New perspectives on the principle of model parsimony.
Proc Natl Acad Sci U S A
February 2025
Department of Computer Science, University of Manchester, Manchester M13 9PL, United Kingdom.
The preference for simple explanations, known as the parsimony principle, has long guided the development of scientific theories, hypotheses, and models. Yet recent years have seen a number of successes in employing highly complex models for scientific inquiry (e.g.
View Article and Find Full Text PDFHELICOBACTER PYLORI ERADICATION TREATMENTS AND RISK OF ALZHEIMER DISEASE: A CASE-CONTROL STUDY NESTED IN THE FINNISH POPULATION.
Epidemiology
January 2025
School of Pharmacy, University of Eastern Finland, PO Box 1627, 70211 Kuopio, Finland.
Background: Helicobacter pylori (H. pylori) has been inconsistently associated with risk of Alzheimer disease. The exposure assessment period has often overlapped with the prodromal time of Alzheimer disease.
View Article and Find Full Text PDFEnhancing dementia prediction: A 19-year validation of the CAIDE risk score with insulin resistance and APOE ε4 integration in a population-based cohort.
J Prev Alzheimers Dis
February 2025
Turku PET Centre, University of Turku, Turku, Finland; Turku PET Centre, Turku University Hospital, Turku, Finland; Department of Geriatrics, Turku University Hospital, Wellbeing services county of Southwestern Finland, Finland.
Background: Dementia is a significant cause of disability and dependency. Persons with high dementia risk but intact cognition will benefit from preventive interventions.
Objectives: The aim was to validate dementia risk score Cardiovascular Risk Factors, Aging and Incidence of Dementia (CAIDE) in a national population-based cohort with data on age, education, hypertension, obesity, hyperlipidemia and physical activity.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!