The aim of our study is to shed light on how academics experience using recorded audio feedback (RAF) as a feedback method in multi-cultural higher e-Education context. We adopted a qualitative content analysis approach, applying thematic network analysis to the data received from three academics (a case study). This approach proposes graphical networks as an aid for analyzing and synthesizing qualitative data into basic, organizing and global themes. The thematic network analysis produced two global, six organizing and 48 basic themes. The two global themes were named “Speaking style” and “Culture neutrality/sensitivity”. Based on our analysis, academics can, by using RAF in multi-cultural e-Education context, provide learners neutral and caring feedback. Culture neutrality in RAF treats all learners equally and culture sensitivity in RAF promotes learning and progress taking learners’ diversity into account. Based on our analysis we introduce a preliminary RAF process model in multi-cultural higher e-Education context.
|Title of host publication||Information Modelling and Knowledge Bases XXXI|
|Editors||Ajantha Dahanayake, Janne Huiskonen, Yasushi Kiyoki, Bernhard Thalheim, Hannu Jaakkola, Naofumi Yoshida|
|Publication status||Published - 2020|
|Publication type||A3 Book chapter|
|Name|| Frontiers in Artificial Intelligence and Applications|
- Publication forum level 1