Addressing Challenges in Skills-based Education Through Innovation and Collaboration

Dula, Colleen A. Clark; Porter, Andrea L.

doi:10.5688/ajpe8788

Cited by 5 publications

(3 citation statements)

References 19 publications

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“…Skills-based learning is experiential and provides learners with opportunities to apply new knowledge in a safe environment 15. Each DSU team develops its own learning and project objectives.…”

Section: Competency Identification and Program Componentsmentioning

confidence: 99%

“…Skills-based learning is experiential and provides learners with opportunities to apply new knowledge in a safe environment. 15 Each DSU team develops its own learning and project objectives. Although each team has different objectives, all teams use an opensource programming language (ie, Python or R), and all projects include data cleaning and data wrangling.…”

Section: Skills-based Learningmentioning

confidence: 99%

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Advancing Data Science Among the Federal Public Health Workforce: The Data Science Upskilling Program, Centers for Disease Control and Prevention

Bertulfo,

Kirkcaldy,

Franzke

et al. 2024

Journal of Public Health Management and Practice

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Context: Data can guide decision-making to improve the health of communities, but potential for use can only be realized if public health professionals have data science skills. However, not enough public health professionals possess the quantitative data skills to meet growing data science needs, including at the Centers for Disease Control and Prevention (CDC). Program: The Data Science Upskilling (DSU) program increases data science literacy among staff and fellows working and training at CDC. The DSU program was established in 2019 as a team-based, project-driven, on-the-job applied upskilling program. Learners, within interdisciplinary teams, use curated learning resources to advance their CDC projects. The program has rapidly expanded from upskilling 13 teams of 31 learners during 2019-2020 to upskilling 36 teams of 143 learners during 2022-2023. Evaluation: All 2022-2023 cohort respondents to the end-of-project survey reported the program increased their data science knowledge. In addition, 90% agreed DSU improved their data science skills, 93% agreed it improved their confidence making data science decisions, and 96% agreed it improved their ability to perform data science work that benefits CDC. Discussion: DSU is an innovative, inclusive, and successful approach to improving data science literacy at CDC. DSU may serve as an upskilling model for other organizations.

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Section: Competency Identification and Program Componentsmentioning

confidence: 99%

Section: Skills-based Learningmentioning

confidence: 99%

Advancing Data Science Among the Federal Public Health Workforce: The Data Science Upskilling Program, Centers for Disease Control and Prevention

Bertulfo,

Kirkcaldy,

Franzke

et al. 2024

Journal of Public Health Management and Practice

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show abstract

“…This skills-based learning approach for pharmacists is nothing new and has been an integral part of accreditation standards for pharmacy education (both under- and postgraduate) around the world for the past two decades [ 20 , 21 ]. A study from 2020 which compared the initial pharmacy education curricula from 16 countries and territories around the world however showed, that the content and emphasis of curricula are still very disparate and that accreditation standards are not present in all countries [ 22 ].…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence in academic writing and clinical pharmacy education: consequences and opportunities

Weidmann

2024

Int J Clin Pharm

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The current academic debate on the use of artificial intelligence (AI) in research and teaching has been ongoing since the launch of ChatGPT in November 2022. It mainly focuses on ethical considerations, academic integrity, authorship and the need for new legal frameworks. Time efficiencies may allow for more critical thinking, while ease of pattern recognition across large amounts of data may promote drug discovery, better clinical decision making and guideline development with resultant consequences for patient safety. AI is also prompting a re-evaluation of the nature of learning and the purpose of education worldwide. It challenges traditional pedagogies, forcing a shift from rote learning to more critical, analytical, and creative thinking skills. Despite this opportunity to re-think education concepts for pharmacy curricula several universities around the world have banned its use. This commentary summarizes the existing debate and identifies the consequences and opportunities for clinical pharmacy research and education.

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Purr-fecting skills: Design of a piloted veterinary pharmacy elective course with a compounding focus

Fredrickson

Parry

2022

Currents in Pharmacy Teaching and Learning

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Addressing Challenges in Skills-based Education Through Innovation and Collaboration

Cited by 5 publications

References 19 publications

Advancing Data Science Among the Federal Public Health Workforce: The Data Science Upskilling Program, Centers for Disease Control and Prevention

Advancing Data Science Among the Federal Public Health Workforce: The Data Science Upskilling Program, Centers for Disease Control and Prevention

Artificial intelligence in academic writing and clinical pharmacy education: consequences and opportunities

Purr-fecting skills: Design of a piloted veterinary pharmacy elective course with a compounding focus

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