Literature DB >> 25410481

Twelve Tips for programmatic assessment.

C P M Van Der Vleuten1, L W T Schuwirth2, E W Driessen1, M J B Govaerts1, S Heeneman1.   

Abstract

Programmatic assessment is an integral approach to the design of an assessment program with the intent to optimise its learning function, its decision-making function and its curriculum quality-assurance function. Individual methods of assessment, purposefully chosen for their alignment with the curriculum outcomes and their information value for the learner, the teacher and the organisation, are seen as individual data points. The information value of these individual data points is maximised by giving feedback to the learner. There is a decoupling of assessment moment and decision moment. Intermediate and high-stakes decisions are based on multiple data points after a meaningful aggregation of information and supported by rigorous organisational procedures to ensure their dependability. Self-regulation of learning, through analysis of the assessment information and the attainment of the ensuing learning goals, is scaffolded by a mentoring system. Programmatic assessment-for-learning can be applied to any part of the training continuum, provided that the underlying learning conception is constructivist. This paper provides concrete recommendations for implementation of programmatic assessment.

Year:  2014        PMID: 25410481     DOI: 10.3109/0142159X.2014.973388

Source DB:  PubMed          Journal:  Med Teach        ISSN: 0142-159X            Impact factor:   3.650


  33 in total

1.  Blended programmatic assessment for competency-based curricula: Is it the way forward?

Authors:  P B Iyer
Journal:  J Postgrad Med       Date:  2021 Jan-Mar       Impact factor: 1.476

2.  Making time for what's important: what elements should we value when planning practice-based professional training?

Authors:  J C Williams; S Clements
Journal:  Br Dent J       Date:  2016-08-12       Impact factor: 1.626

3.  Development of a Postgraduate Community Pharmacist Specialization Program Using CanMEDS Competencies, and Entrustable Professional Activities.

Authors:  Marnix P D Westein; Harry de Vries; Annemieke Floor; Andries S Koster; Henk Buurma
Journal:  Am J Pharm Educ       Date:  2019-08       Impact factor: 2.047

Review 4.  Development of and Preliminary Validity Evidence for the EFeCT Feedback Scoring Tool.

Authors:  Shelley Ross; Deena Hamza; Rosslynn Zulla; Samantha Stasiuk; Darren Nichols
Journal:  J Grad Med Educ       Date:  2022-02

5.  Developing the Expected Entrustment Score: Accounting for Variation in Resident Assessment.

Authors:  Daniel P Schauer; Benjamin Kinnear; Matthew Kelleher; Dana Sall; Daniel J Schumacher; Eric J Warm
Journal:  J Gen Intern Med       Date:  2022-04-04       Impact factor: 6.473

6.  Rising to the Challenge: Residency Programs' Experience With Implementing Milestones-Based Assessment.

Authors:  Kristina Dzara; Kathleen Huth; Jennifer C Kesselheim; Daniel J Schumacher
Journal:  J Grad Med Educ       Date:  2019-08

7.  Next Steps in the Implementation of Learning Analytics in Medical Education: Consensus From an International Cohort of Medical Educators.

Authors:  Brent Thoma; Eric Warm; Stanley J Hamstra; Rodrigo Cavalcanti; Martin Pusic; Tim Shaw; Amol Verma; Jason R Frank; Karen E Hauer
Journal:  J Grad Med Educ       Date:  2020-06

Review 8.  Assessing professional competence: a critical review of the Annual Review of Competence Progression.

Authors:  Katherine Woolf; Michael Page; Rowena Viney
Journal:  J R Soc Med       Date:  2019-05-24       Impact factor: 18.000

9.  Nuance and Noise: Lessons Learned From Longitudinal Aggregated Assessment Data.

Authors:  Teresa M Chan; Jonathan Sherbino; Mathew Mercuri
Journal:  J Grad Med Educ       Date:  2017-12

10.  Brazilian version of Calgary-Cambridge Observation Guide 28-item version: cross-cultural adaptation and psychometric properties.

Authors:  Marcela C Dohms; Carlos Fernando Collares; Iolanda Calvo Tiberio
Journal:  Clinics (Sao Paulo)       Date:  2021-06-14       Impact factor: 2.365

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