{"title":"Programmatic assessment for learning: A programmatically designed assessment for the purpose of learning: AMEE Guide No. 174.","authors":"Dario Torre, Lambert Schuwirth","doi":"10.1080/0142159X.2024.2409936","DOIUrl":null,"url":null,"abstract":"<p><p>Programmatic assessment for learning (PAL) involves programmatically structured collection of assessment data for the purpose of learning. In this guide, we examine and provide recommendations on several aspects: First, we review the evolution that has led to the development of programmatic assessment, providing clarification of some of its terminology. Second, we outline the learning processes that guide the design of PAL, including distributed learning, interleaving, overlearning, and test-enhanced learning. Third, we review the evolving nature of validity and provide insights into validity from a program perspective. Finally, we examine opportunities, challenges, and future directions of assessment in the context of artificial intelligence.</p>","PeriodicalId":18643,"journal":{"name":"Medical Teacher","volume":null,"pages":null},"PeriodicalIF":3.3000,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medical Teacher","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1080/0142159X.2024.2409936","RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION, SCIENTIFIC DISCIPLINES","Score":null,"Total":0}
引用次数: 0
Abstract
Programmatic assessment for learning (PAL) involves programmatically structured collection of assessment data for the purpose of learning. In this guide, we examine and provide recommendations on several aspects: First, we review the evolution that has led to the development of programmatic assessment, providing clarification of some of its terminology. Second, we outline the learning processes that guide the design of PAL, including distributed learning, interleaving, overlearning, and test-enhanced learning. Third, we review the evolving nature of validity and provide insights into validity from a program perspective. Finally, we examine opportunities, challenges, and future directions of assessment in the context of artificial intelligence.
促进学习的计划性评估(PAL)是指以学习为目的,有计划、有步骤地收集评估数据。在本指南中,我们将对几个方面进行研究并提出建议:首先,我们回顾了导致计划性评估发展的演变过程,并对其中的一些术语进行了澄清。其次,我们概述了指导 PAL 设计的学习过程,包括分布式学习、交错学习、过度学习和测试强化学习。第三,我们回顾了有效性不断演变的本质,并从计划的角度对有效性提出了见解。最后,我们探讨了人工智能背景下评估的机遇、挑战和未来方向。
期刊介绍:
Medical Teacher provides accounts of new teaching methods, guidance on structuring courses and assessing achievement, and serves as a forum for communication between medical teachers and those involved in general education. In particular, the journal recognizes the problems teachers have in keeping up-to-date with the developments in educational methods that lead to more effective teaching and learning at a time when the content of the curriculum—from medical procedures to policy changes in health care provision—is also changing. The journal features reports of innovation and research in medical education, case studies, survey articles, practical guidelines, reviews of current literature and book reviews. All articles are peer reviewed.