Open AccessCollaborative Autoethnography: Best Practices for Developing Group Projects
Author(s) -
Elizabeth Robertson Hornsby,
Allyson Davis,
J.P. Reilly
Publication year - 2021
Publication title -
insight
Language(s) - English
Resource type - Journals
eISSN - 1933-4869
pISSN - 1933-4850
DOI - 10.46504/16202105ro
Subject(s) - autoethnography , best practice , premise , scholarship , qualitative research , value (mathematics) , group (periodic table) , knowledge management , computer science , engineering management , engineering , sociology , management , political science , epistemology , social science , philosophy , law , economics , chemistry , organic chemistry , machine learning
Collaborative Autoethnography (CAE) is an emerging practice that combines group interaction with qualitative research. Group projects are often deployed in course design to maximize the value of collaborative learning environments. Using existing scholarship, we describe best practices for group projects that apply principles of CAE. To advance the premise of the paper beyond descriptive summaries of pedagogical inquiry, we utilize a best practices mechanism to present a coherent guide for project collaborators to use in various classroom settings. The best practices proposed are research validated by existing CAE and project management literature.