This chapter reports on a series of self-reflective surveys used to explore and understand the effectiveness of teaching delivery by taking a co-creation approach. Drawing on data from student perceptions, the research considers the dynamic nature of student learning, acknowledging the diverse starting points within each cohort. Six pilot studies are considered, spanning various teaching modes and modules, and each employing a learning gain (educational gain) model to stimulate dialogue with students. The studies reveal valuable insights into teaching effectiveness, learning variations, impact of interventions, and ultimately contributed to the continuous improvement of our educational delivery. The findings underscore the importance of a student-centric, co-creative approach to education, enhancing the student experience and ensuring the relevance of learning outcomes. The model’s applicability to diverse modules and levels demonstrates its potential for widespread adoption.

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A Tailored Co-creation Approach to Contextualising the Student Voice in Higher Education

  • Martyn Polkinghorne,
  • Tim McIntyre-Bhatty,
  • Gelareh Roushan

摘要

This chapter reports on a series of self-reflective surveys used to explore and understand the effectiveness of teaching delivery by taking a co-creation approach. Drawing on data from student perceptions, the research considers the dynamic nature of student learning, acknowledging the diverse starting points within each cohort. Six pilot studies are considered, spanning various teaching modes and modules, and each employing a learning gain (educational gain) model to stimulate dialogue with students. The studies reveal valuable insights into teaching effectiveness, learning variations, impact of interventions, and ultimately contributed to the continuous improvement of our educational delivery. The findings underscore the importance of a student-centric, co-creative approach to education, enhancing the student experience and ensuring the relevance of learning outcomes. The model’s applicability to diverse modules and levels demonstrates its potential for widespread adoption.