A tool to visualise interrelated technologies, conditions, and practices.
How to use the edtech ecosystem
Background
Visualising the range of co-evolving technologies, conditions, and practices which shape the edtech ecosystem offers stakeholders a tool to navigate this complex landscape. Visualisations are inherently incomplete yet pragmatic tools, and can be defined as ‘a set of techniques by which to manage, calculate, and act on a world of incomplete information’ (Halpern 2014, 30). In contrast to a narrow focus upon an isolated technology, a systems approach to edtech offers a way to explore complex interrelationships and the bigger picture of change and uncertainty (Bapna et al., 2021).
Edtech ecosystem
Technologies
Conditions
Practices
The integration of data, algorithm and AI-enabled technologies – alongside the expansion of hardware, software and devices – across everyday conditions and practices.
Technologies
- Biometric models
- Matching models
- Value-added models
- Prediction models
- Automated scoring models
- Big-tech models
Conditions
Student and learning conditions
Practices
- Exam grading (UK)
- Automated essay scoring (Australia)
- Exam invigilation (US)
- Personalised learning application (UK)
- Generative AI detector (UK)
- Facial emotion recognition (US)
Conditions
Professional and teaching conditions
Practices
- Teacher recruitment (US, Italy)
- Teacher Evaluation (US)
- Tools to detect/remediate learning difficulties (Sweden)
Conditions
School organisation and management/sector conditions
Practices
- School choice (US)
- Attendance reporting (Sweden)
- Vandalism prevention (Australia)
- Vaping identification (Australia)
- Bus routing (US)
- Aggression detection (US)
Conditions
Public and private good conditions
Practices
- Google Classroom (Denmark)
- Conversational AI (US)
- Web filtering (Australia)
Technologies
Conditions
Practices