Instituting socio-technical education futures
Encounters with/through technical democracy, data justice, and imaginaries
Datos Bibliográficos
| ID | 21785447 |
|---|---|
| Autores | Teresa Swist (0000-0003-3836-112X, The University of Sydney, autor de correspondencia), Kalervo N Gulson (0000-0002-3581-9935, The University of Sydney) |
| Año | 2023 |
| Volumen | 48 |
| Número | 2 |
| Páginas | 181-186 |
| Fecha de publicación | 2023-04-03 |
| Peer Reviewed | Sí |
| Open Access | No |
| Tipo | ARTICLE |
| Revista | Learning Media and Technology (JOURNAL) |
| Identificadores de la revista | ISSN: 1743-9884 • E-ISSN: 1743-9892 |
| Editorial | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/17439884.2023.2205225 |
| OpenAlex | W4380206122 |
| Idioma | EN |
| Citas recibidas | 17 |
| Referencias citadas | 16 |
A (re)composition of encountered problems and possibilitiesArtificial intelligence, automation, algorithms, and datafication are increasingly instituted across educational systems and decision-making, including generative AI, student monitoring, exam grading, data analytics.The public release of ChatGPT raised stark issues of corporate infrastructuring, the politics and scientization of automation, conflicts over ethics, and the possibility of how things could be 'designed otherwise' (Williamson, Macgilchrist, and Potter 2023).The global reach of exam surveillance systems during the COVID-19 pandemic provoked questions about commercial provider roles, the hidden labour of automated systems, alongside the vulnerabilities of remote studying (Selwyn et al. 2021).A grades standardisation algorithm to calculate proxy grades for cancelled examinations sparked a range of unintended consequences, protests, and public trust issues (Kelly 2021).School openings and closings throughout the crisis increasingly relied upon the politicised release and reception of cross-sectoral data analytics, while attendant COVID-19 surveillance systems escalated the powers of both government and non-government entities (Mahase 2021; Oster 2021).These socio-technical controversies highlight the multiscalar power relations shaping present and future education possibilities (Macgilchrist, Potter, and Williamson 2021).A range of conceptual and methodological constraints are provoked by these shifting power relations between diverse constituents: students, educators, communities, technology corporations, professional bodies, cross-sectoral policymakers, plus all levels of government.Methods can enact worlds, Lury (2020) argues, and attention to (re)composing how knowledge continues with, and transforms through, societal institutions is vitally needed.There are multiple issues in education that arise from socio-technical controversies related to the use of algorithms.The first issue comes from what we know when socio-technical systems are used elsewhere.Algorithmic systems are used in high stakes areas such as policing and hiring.Problems in this use include over policing of people of colour using facial recognition technologies, and reinforcement of gender bias in automated selection in hiring practices (Noble 2018).In these areas, it has been shown that complex socio-technical systems are poorly understood by both users and those affected by the systems (Algorithm Watch 2019).Similarly, there are concerns about the capacity of educators, administrators and policy makers to understand the limitations and presuppositions of using complex socio-technical algorithmic systems in decision-making (European Commission 2021;Southgate et al. 2020).The second issue is that with the increased use of algorithmic systems, along with the identification of risks (European Commission 2021), has come awareness that ethical issues like fairness and bias are seriously underdeveloped in education (Sahlgren 2021).Additionally, with a wide range of expertise involved in developing and applying socio-technical systems, there is growing contestation over what counts as relevant
Democracy · Economic Justice · Economics · Financial economics · Futures contract · Political science · Politics · Sociology · Digital Education and Society · Ethics and Social Impacts of AI · Information Systems Theories and Implementation · Law
Hijacking the Digital Backlash in Education
Laptop Orchestra
The Future Postdigital Classroom
Exploring ethical dilemmas and institutional challenges in AI adoption
Navigating generative AI in higher education – six near future scenarios
Challenging the inequitable impacts of edtech
Conflicting motives
Reframing AI governance in education
Looking back and looking forward
Micro studies in macro digital ecosystems
Sociodigital futures of education
Post-graduate pedagogy in neuroliberal times
EdTech and the Environment
Neurofarming HE
Triangulating the lifelong learner
How do problematisations “materialise”? A neopragmatic perspective on the (in-)visibilisation of justice concerns in Aied
Who said only military officers can deal with uncertainty? On the importance of uncertainty in edtech data visualisations
Algorithms of Oppression
Designing Postdigital Futures
Shifting scales of research on learning, media and technology
Re-examining AI, automation and datafication in education
The politics and reciprocal (re)configuration of accountability and fairness in data-driven education
Exploring Data Justice
To be or not to be algorithm aware
The Imaginary Institution of Society
A tale of two algorithms
Acting in an uncertain world
Professional Judgment in an Era of Artificial Intelligence and Machine Learning
Post-automation
A necessary evil? The rise of online exam proctoring in Australian universities
| Obras citantes distintas | 17 |
|---|---|
| Citas por año | 5,67 |
| Intervalo de citas | 2023 - 2026 (4) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 17 |