How and under Which Conditions Can We Best Combine Research on School Effectiveness with Research on School Improvement? Establishing Connections Using the Dynamic Approach to School Improvement
Bibliographic Data
| ID | 22045989 |
|---|---|
| Authors | Panayiotis Antoniou (0000-0001-6206-4454, University of Cyprus, corresponding author), Leonidas Kyriakides (0000-0002-7859-5126, University of Cyprus), Evi Charalambous (0000-0001-6492-8500, University of Cyprus) |
| Year | 2022 |
| Volume | 12 |
| Issue | 8 |
| Pages | 537 |
| Publication date | 2022-08-09 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Education Sciences (JOURNAL) |
| Journal identifiers | ISSN: 2227-7102 • E-ISSN: 2227-7102 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/educsci12080537 |
| OpenAlex | W4291008700 |
| Language | EN |
| Citations received | 4 |
| References cited | 37 |
This paper aims to discuss how and under which conditions can we best combine research on School Effectiveness with research on School Improvement by utilizing the Dynamic Approach (DA) to School Improvement. We firstly elaborate on the difficulties that exist in trying to merge results from research on School Effectiveness with research on School Improvement. Then, we discuss the need and potential benefit from merging the two research strands, and finally we propose a fruitful merging with reference to the DA framework. Studies that have utilized the DA are also presented and their implications for research, policy and practice are discussed. The last section summarizes the results of the studies that have utilized the DA to highlight conditions that could facilitate a productive merging of the School Effectiveness and School Improvement research
Best practice · Educational research · Information retrieval · Management science · Mathematics education · Operations management · Performance improvement · Political science · Behavioral and Psychological Studies · Computer Science · Educational Assessment and Improvement · Engineering · Psychology
| Citations per year | 1.33 |
|---|---|
| Citation span | 2023 - 2026 (4) |
| Highly cited | No |