Postgraduate Course: Education, Personalisation and Surveillance (fusion online) (EFIE11067)
Course Outline
| School | Edinburgh Futures Institute |
College | College of Arts, Humanities and Social Sciences |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
| Course type | Online Distance Learning |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | This course enables students to critically examine the origins and effects of personalisation and surveillance in education. It will enable students to develop creative, collaborative and research-informed alternative visions for the future uses of digital technologies and data in education. |
| Course description |
'Education, Personalisation and Surveillance' explores profound changes in education systems and teaching and learning practices associated with data-driven and AI-based technologies, from formal settings to professional learning contexts and non-formal sites of learning. The course is interdisciplinary, critical, collaborative and creative in approach, drawing on social science, literary and design-based approaches.
Students on the course will experience hands-on social science research, media-rich fusion teaching environments, collaborative design, and engagement with relevant literary texts, building towards the production of a group research presentation and an individual 'social science fiction' demonstrating their knowledge and understanding of the implications of personalisation and surveillance for education in the future.
The course is organized as an intensive teaching model. Activities prior to intensive week include 2x scheduled online lectures (0.5hrs) (delivered live and recorded), 2x scheduled synchronous videoconference seminars (1hr), assigned reading, and asynchronous discussion forum. During the intensive week, students will experience 2-days of hybrid on-campus/online teaching:
Day One:
- Short, live and recorded lecture by course leader introducing key themes and purposes of intensive activities.
- Seminar (facilitated on-campus and online) focused on critically examining educational technologies.
- Facilitated collaborative research activity, with on-campus and online students organised in small working groups to critically examine an educational technology (groups and topics specified in advance during pre-intensive phase).
Day Two:
- Joint development of research presentation based on collaborative research project from day one, with all presentations (online and on-campus) recorded and captured for formative assessment and asynchronous peer feedback.
- Seminar session to highlight overall issues arising from technologies of personalisation and surveillance, with collaborative development of alternative proposals and designs.
- Lecture and creative workshop on writing research-based 'social science fiction', leading to post-intensive individual activity.
Post-intensive activities include scheduled 1x seminar (1hr), group task, independent study, creative textual production of individual social science fiction texts, asynchronous online discussion, and peer feedback.
Edinburgh Futures Institute (EFI) - Online Fusion Course Delivery Information:
The Edinburgh Futures Institute will teach this course in a way that enables online and on-campus students to study together. This approach (our 'fusion' teaching model) offers students flexible and inclusive ways to study, and the ability to choose whether to be on-campus or online at the level of the individual course. It also opens up ways for diverse groups of students to study together regardless of geographical location. To enable this, the course will use technologies to record and live-stream student and staff participation during their teaching and learning activities. Students should note that their interactions may be recorded and live-streamed. There will, however, be options to control whether or not your video and audio are enabled.
As part of your course, you will need access to a personal computing device. Unless otherwise stated activities will be web browser based and as a minimum we recommend a device with a physical keyboard and screen that can access the internet.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Information for Visiting Students
| Pre-requisites | None |
| High Demand Course? |
Yes |
Course Delivery Information
| Not being delivered |
Learning Outcomes
On completion of this course, the student will be able to:
- Demonstrate knowledge of key concepts and critical understanding of current social and ethical issues related to data-driven personalisation and surveillance technologies in education.
- Apply critical analysis and develop original and creative responses to problems and issues related to data-driven personalisation and surveillance technologies in education.
- Use a range of ICT applications to communicate with peers and support and enhance the production of critical scholarly work.
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Reading List
Indicative Reading List:
Andrejevic, M. 2019. Automating surveillance. Surveillance and Society 17(1-2), 7-13.
Beer, D. 2016. Fiction and social theory. Theory, Culture and Society 33(7-8), 409-419.
Bulger, M. 2016. Personalized Learning: The Conversations We're Not Having. Data and Society working paper: https://datasociety.net/wp-content/uploads/2016/09/PersonalizedLearning_primer_2016.pdf
Bullen, E. and Parsons, E. 2007. Dystopian Visions of Global Capitalism: Philip Reeve's Mortal Engines and M.T Anderson's Feed. Children's Literature in Education 38, 127-138.
Decuypere, M., Grimaldi, E. and Landri, P. 2021. Critical studies of digital education platforms. Critical Studies in Education 62(1), 1-16.
Eynon, R. and Young, E. 2021. Methodology, Legend, and Rhetoric: The Constructions of AI by Academia, Industry, and Policy Groups for Lifelong Learning. Science, Technology and Human Values 46(1), 166-191.
Graham, M et al (eds). 2019. How to Run a City like Amazon, and Other Fables. London: Meatspace Press (online, open access). |
Additional Information
| Graduate Attributes and Skills |
The course will support the development of the following graduate attributes:
- Curiosity for learning that makes a positive difference;
- Iindependent research and enquiry;
- Critical and reflective thinking;
- Creativity and inventive thinking;
- Skilled communication. |
| Keywords | Education,Data,Personalisation,Surveillance,AI |
Contacts
| Course organiser | Dr Ben Williamson
Tel: (0131 6)51 6176
Email: Ben.Williamson@ed.ac.uk |
Course secretary | Miss Zoe Hogg
Tel:
Email: Zoe.Hogg@ed.ac.uk |
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