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Introduction of blended learning in a master program: Developing an integrative mixed method evaluation framework.

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Summary

A new evaluation framework for higher education blended learning (BL) programs was developed, involving all stakeholders. While effective, this comprehensive approach requires significant resources, prompting further refinement for efficiency.

Keywords:
Blended learningEvaluationEvaluation frameworkHigher educationIntegrativeMasterMixed methodNursingProgram

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Area of Science:

  • Educational technology
  • Higher education pedagogy
  • Program evaluation

Background:

  • Current blended learning (BL) evaluations in higher education are fragmented, focusing on isolated aspects like students, faculty, technology, or institutions.
  • A validated, comprehensive tool for monitoring BL implementation in higher education is currently lacking.

Purpose of the Study:

  • To develop and implement a comprehensive evaluation framework for higher education blended learning (BL) programs.
  • To involve all key actors (students, faculty, administration) in the evaluation process.
  • To identify strengths and weaknesses of BL implementation.

Main Methods:

  • Established evaluation principles and standards were used to identify and group key concepts for evaluation.
  • Existing BL evaluation tools at student, faculty, and institutional levels were reviewed and selected.
  • The developed framework was implemented to monitor BL during two program iterations.

Main Results:

  • The evaluation successfully documented comprehensive strengths and weaknesses of the BL format, incorporating feedback from all involved actors.
  • The findings led to specific improvements at the program, faculty, and course levels.
  • The evaluation process and reporting demanded significant time and personal resources.

Conclusions:

  • The developed framework effectively measures critical dimensions influencing BL success at the program level.
  • The comprehensive nature of the evaluation is resource-intensive.
  • Future work will focus on refining the framework into a sustainable and transferable BL monitoring tool balancing comprehensiveness and efficiency.