Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Utafiti unaozingatia Ubunifu× | Uhakiki wa Programu× | |
|---|---|---|
| Nyanja | Mbinu za Uwandani | Mbinu za Uwandani |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 1992 | 1960s–1970s (Scriven 1967; Stufflebeam CIPP model 1971) |
| Mwanzilishi≠ | Ann L. Brown and Allan Collins (independently, 1992) | Michael Scriven; Daniel Stufflebeam; Peter Rossi |
| Aina≠ | Interventionist qualitative-quantitative mixed methodology | Applied evaluation methodology |
| Chanzo asilia≠ | Brown, A. L. (1992). Design experiments: Theoretical and methodological challenges in creating complex interventions in classroom settings. Journal of the Learning Sciences, 2(2), 141–178. DOI ↗ | Rossi, P. H., Lipsey, M. W., & Freeman, H. E. (2004). Evaluation: A Systematic Approach (7th ed.). Sage. ISBN: 978-0761908944 |
| Majina mbadala | DBR, design research, design experiment, educational design research | evaluation research, program assessment, educational evaluation, systematic program evaluation |
| Zinazohusiana≠ | 6 | 3 |
| Muhtasari≠ | Design-based research (DBR) is an iterative, interventionist methodology that simultaneously designs educational interventions and builds theory about how and why those interventions work in authentic, complex settings. Originating in Ann Brown's 1992 classroom experiments and Allan Collins's parallel work, DBR treats the learning environment as both the object of study and the site of theory generation, cycling through design, enactment, analysis, and redesign until both practical improvement and theoretical insight are achieved. | Program evaluation is a systematic, empirically grounded process of collecting and analyzing information about a program to determine its merit, worth, or significance. Applied across education, public health, social services, and policy, it addresses questions such as whether a program is reaching its target population, whether it is being implemented as designed, and whether it is producing the intended outcomes. It draws on both quantitative and qualitative methods and serves accountability, improvement, or knowledge-generation purposes. |
| ScholarGateSeti ya data ↗ |
|
|