Disrupting the dissertation: linked data, enhanced publication and algorithmic culture

This article explores how the three aspects of Striphas’ notion of algorithmic culture (information, crowds and algorithms) might influence and potentially disrupt established educational practices.  We draw on our experience of introducing semantic web and linked data technologies into higher education settings, focussing on extended student writing activities such as dissertations and projects, and drawing in particular on our experiences related to undergraduate archaeology dissertations. The potential for linked data to be incorporated into electronic texts, including academic publications, has already been described, but these accounts have highlighted opportunities to enhance research integrity and interactivity, rather than considering their potential creatively to disrupt existing academic practices. We discuss how the changing relationships between subject content and practices, teachers, learners and wider publics both in this particular algorithmic culture, and more generally, offer new opportunities; but also how the unpredictability of crowds, the variable nature and quality of data, and the often hidden power of algorithms, introduce new pedagogical challenges and opportunities

Whose domain and whose ontology?:Preserving human radical reflexivity over the efficiency of automatically generated feedback alone

In this chapter, we challenge an increase in the uncritical application of algorithmic processes for providing automatically generated feedback for students, within a neoliberal framing of contemporary higher education. Initially, we discuss our concerns alongside networked learning principles, which developed as a critical pedagogical response to new online learning programmes and platforms. These principles now overlap too, with the notion that we are living in ‘postdigital’ times, where automatically generated feedback never stands alone, but is contested and supplemented by physical encounters and human feedback. First, we make observations on the e-marking platform Turnitin, alongside other rapidly developing artificial intelligence (AI) systems. When generic (but power-laden) maps are incorporated into both student and staff ‘perceived’ spaces through AI, we surface the aspects of feedback that risk being lost. Second, we draw on autoethnographic understandings of our own lived experience of performing radically reflexive feedback within a Master’s in Education programme. A radically reflexive form of feedback may not follow a pre-defined map, but it does offer a vehicle to restore individual student and staff voices and critical self-navigation of both physical and virtual learning spaces. This needs to be preserved in the ongoing shaping of the contemporary ‘postdigital’ university

Postdigital Dialogue

This article is a multi-authored experimental postdigital dialogue about postdigital dialogue. Fourteen authors were invited to produce their sections, followed by two author-reviewers who examined the article as a whole. Authors were invited to reflect on Petar Jandric’s book Learning in the age of digital reason (2017) or to produce completely new insights. The article also contains a summary of book symposium on Learning in the age of digital reason held at the 2017 American Educational Research Conference (AERA). The authors are tentatively confident that this article produces more knowledge than the arithmetic sum of its constituent parts. However, they are also very aware of its limits and insist that their conclusions are not consensual or homogenous. As traditional forms of research increasingly fail to describe our current reality, they present this article as an experiment and a possible starting point for developing new dialogical research approaches fit for our postdigital reality