Improving reflection and professional development in public service programs: A deep learning approach

Abdul-Akeem Sadiq & Naim Kapucu

Teaching Public Administration2026https://doi.org/10.1177/01447394261433006article
AJG 1
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0.50

What the paper says

As global challenges—including public health emergencies, racial and ethnic diversity, political division, and persistent economic inequalities—continue to strain communities, the need for public administration leaders equipped with robust skills, competency-based knowledge, and empathy has become increasingly urgent. This paper applies a deep learning approach to strengthen reflection and professional development among students in public service programs. Using deep learning for reflective leadership practice as our guiding framework, we identify five strategies from the literature and illustrate their application in a graduate leadership course. Student feedback indicates meaningful gains in deep learning, particularly through structured reflective assignments. We conclude by outlining future research directions for advancing deep learning in public administration.

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https://doi.org/https://doi.org/10.1177/01447394261433006

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@article{abdul-akeem2026,
  title        = {{Improving reflection and professional development in public service programs: A deep learning approach}},
  author       = {Abdul-Akeem Sadiq & Naim Kapucu},
  journal      = {Teaching Public Administration},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1177/01447394261433006},
}

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Improving reflection and professional development in public service programs: A deep learning approach

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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