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The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition
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Clinical instructors' recruitment callenges: Interpretive Structural Modeling approach.

Akram Sadeghian1, Shahram Tofighi2, Nikoo Yamani1

  • 1Medical Education Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.

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|August 9, 2020
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Improving faculty recruitment in medical sciences universities is crucial for health promotion and education quality. Addressing key, strategic, and dependent challenges requires policy improvements by human resources managers and policymakers.

Keywords:
Educatorhuman resourceinterpretive structural modelingrecruitment

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Area of Science:

  • Medical Education
  • Health Professions Education
  • Higher Education Administration

Background:

  • Medical sciences universities train healthcare professionals vital for community service.
  • Clinical educators are essential for advancing health and education within these institutions.

Purpose of the Study:

  • To prioritize and model the interrelationships of faculty recruitment challenges in medical sciences universities.
  • To develop a hierarchical structure illustrating the complex dynamics of these challenges.

Main Methods:

  • Utilized Interpretive Structural Modeling (ISM), a system design approach.
  • Employed a paired comparison questionnaire administered to policymakers and experts.
  • Analyzed data through ISM, involving variable identification, matrix construction, and reachability analysis.

Main Results:

  • Developed a ten-level ISM model categorizing challenges into key, strategic, and dependent factors.
  • Identified critical interdependencies within the faculty recruitment system.

Conclusions:

  • The quality of the faculty recruitment system directly impacts health promotion and educational standards in medical universities.
  • Urgent policy reform and strategic planning are necessary for human resources managers and policymakers to overcome recruitment hurdles.