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Filter search resultsPeer review and self-evaluation
This toolkit from the Australian National University (ANU) provides a range of resources that demonstrate the use of both peer review and self evaluation in order to develop reflective practice in teacheResourceMachine learning and meta-ethnography: Seven steps to synthesising 578 evaluations into four themes
This paper documents a case study using machine learning and meta-ethnography techniques to synthesise and draw lessons from 578 evaluations. This paper is part of the BetterEvaluation Innovation Working Paper series.ResourceL’évaluation en contexte de développement
Ce manuel est destiné aux personnes souhaitant s’initier à l’évaluation de programmes, en particulier en contexte de développement et de coopération internationale. À cet égard, tout en déroulant le fil d’une démarche évaluative classique, il présente…ResourcePractical guide for engaging stakeholders in developing evaluation questions
This guide from the Robert Wood Johnson Foundation was designed to support evaluators engage their stakeholders in the evaluation process.ResourceSystem Mapping: A case example
Innovation Network has used systResourcePeer-assessment
Peer assessment can provide additional benefits beyond self-assessment – in particular, the opportunity for peer learning through the review process.MethodMachine learning in evaluative synthesis: Lessons from private sector evaluation in the World Bank Group
An exploration of the potential to use machine learning techniques to enhance the efficiency of analyzing, classifying, and synthesizing extensive amounts of text in evaluation research.ResourceLeveraging imagery data in evaluations: Applications of remote-sensing and streetscape imagery analysis
This paper discusses using imagery data in evaluations and the advantages and limitations of relevant methodologies.ResourceAdvanced content analysis: Can artificial intelligence accelerate theory-driven complex program evaluation?
This paper presents the methodology and results of an assessment of the applicability and utility of artificial intelligence for advanced theory-based content analysis.Resource