This chapter explores how elements of Big Data can be used to develop pedagogical and didactical management and to establish practices for creating shared understanding and meaning in educational organizations through constructive use of such data. The chapter builds on three sources: Heidegger’s ontology of data as created and interpreted by humans; Wenger’s conception of how humans participate and create meaning and identity through communities of practice; and Nonaka’s idea of dialogue and openness in a free and constructive form of Ba. Based on a data report developed by the authors, the study describes a workshop for a university educational management group informed by the principles of Ba. As well as highlighting some of the challenges of using Big Data, the analysis documents how this approach can illuminate the “black box” of pedagogical management within a systematic and dialogical workshop setting. In line with the Heideggerian perspective, the data signified learning platform actions to be discussed, interpreted, and assigned meaning in a collaborative process with teachers and stewards of IT pedagogy. The chapter sets out guiding principles for the use of Big Data for pedagogical development and management through systematic dialogue within this boundary-crossing setup.
|Titel||Radical Solutions and Learning Analytics: Personalised Learning and Teaching Through Big Data|
|Publikationsdato||8 maj 2020|
|Status||Udgivet - 8 maj 2020|