Voicing Code in STEM
Author: Sengupta, Pratim
ISBN: 9780262045117
Publisher: RANDOM HOUSE US
Year first published: 18 May 2021
Pages: 232
Format: Paperback / softback
An exploration of coding that investigates the interplay between computational abstractions and the fundamentally interpretive nature of human experience.BR>BR>b>An exploration of coding that investigates the interplay between computational abstractions and the fundamentally interpretive nature of human experience./b>br>br>The importance of coding in K-12 classrooms has been taken up by both scholars and educators. i>Voicing Code in STEM/i> offers a new way to think about coding in the classroom--one that goes beyond device-level engagement to consider the interplay between computational abstractions and the fundamentally interpretive nature of human experience. Building on Mikhail Bakhtin's notions of heterogeneity and heteroglossia, the authors explain how STEM coding can be understood as voicing computational utterances, rather than a technocentric framing of building computational artifacts. Empirical chapters illustrate this theoretical stance by investigating different framings of coding as voicing.
ISBN: 9780262045117
Publisher: RANDOM HOUSE US
Year first published: 18 May 2021
Pages: 232
Format: Paperback / softback
An exploration of coding that investigates the interplay between computational abstractions and the fundamentally interpretive nature of human experience.BR>BR>b>An exploration of coding that investigates the interplay between computational abstractions and the fundamentally interpretive nature of human experience./b>br>br>The importance of coding in K-12 classrooms has been taken up by both scholars and educators. i>Voicing Code in STEM/i> offers a new way to think about coding in the classroom--one that goes beyond device-level engagement to consider the interplay between computational abstractions and the fundamentally interpretive nature of human experience. Building on Mikhail Bakhtin's notions of heterogeneity and heteroglossia, the authors explain how STEM coding can be understood as voicing computational utterances, rather than a technocentric framing of building computational artifacts. Empirical chapters illustrate this theoretical stance by investigating different framings of coding as voicing.
