AI Consultancy Services
Educate Ventures Research is an innovative boutique consultancy and training provider dedicated to helping education organisations leverage AI to unlock insights, enhance learning, and drive positive outcomes and impact.
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Our team of data, AI and behavioural scientists work closely with clients to help them leverage AI effectively to enhance human learning.
For Schools: pre-selection stage
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This means you have limited exposure to EdTech. For schools and colleges in their early/pre-selection stage, we can:
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Demystify EdTech and AI through engagement with leadership, market overview, focused research pieces
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Build a strategic approach towards EdTech and AI
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AI leadership training
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AI safeguarding training
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Policy development workshops
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We support you with the above using our following services:
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Advisory (strategy development)
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Market overviews and audits
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Case studies
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Thought leadership
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Training for leadership (including safeguarding, policy development)​​
For Schools: procurement stage
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This means you are selecting and piloting a range of EdTech tools. For schools and colleges in their procurement stage, we can:​
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Link strategy to procurement by building heatmap of potential tools, iterating procurement standards, developing governance frameworks
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Risk assessment and DPIA services
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Pilot selected tools, ensuring fidelity of implementation
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Indicative assessment of potential learning gains and ROI, including contextual considerations
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Targeted training on piloted use-cases, providing a combination of technical and pedagogical support
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We support you with the above using our following services:
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Advisory (linking strategy to procurement)
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Heatmaps and mindmaps
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Frameworks
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Risk assessments and DPIAs
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Research Pilots
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Targeted teacher training
For Schools: integration and ongoing evaluation stage
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This means you are implementing and rolling out EdTech. For schools and colleges in their integration and ongoing evaluation stage, we can:​​
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Assess the readiness of various schools/regions for tools to inform the scale of the roll-out
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Highlight the system and behavior changes required for the benefits of the tool to be realised
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Put in place the required processes to support the roll-out (e.g. targeted teacher training, network of champions)
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Training on teaching pedagogies, using AI and ed-tech companies
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Data literacy training
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On-going targeted training on AI and edtech use cases that are being rolled out
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We support you with the above using our following services:
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Advisory (inform the scale and context of the roll-out, enabling processes)
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Technical and pedagogical support/training for teachers
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Data literacy training
For Schools: AI and Data Science services
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For schools and colleges, we provide the following AI-led and data science services:​​
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There is typically a period of at least 1-2 years before ed-tech and AI tool result in changes within learner attainment
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Earlier changes can be noticed within patterns of learner engagement with the tool. These shifts may be a condition of learner attainment, as well as being indicative of soft learning outcomes
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We can:
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Conduct a data audit, to advise the types of data which may be generated and available for analysis
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Support an organisation level data strategy
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Identify pedagogical KPIs which can be tracked through data (a golden thread), and implement data science/AI techniques to evaluate these
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Inform human interventions through data analytics
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For Governments: pre-selection stage
​
This means you are learning about EdTech and AI. For governments in their early/pre-selection stage, we can:
-
Demystify EdTech and AI through engagement with leadership, market overview, focused research pieces
-
Build a strategic approach towards EdTech and AI
-
AI leadership training
-
AI safeguarding training
-
Policy development workshops
​
We support you with the above using our following services:
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Regional overviews​​
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Thought leadership
-
Policy development
For Governments: procurement stage
​
This means you are crafting an approach towards EdTech and AI, and we support with proactive development of AI interventions. For governments in their procurement stage, we can:​
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Identify and select Edtech and AI tools for piloting
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Research design, sampling and piloting
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Data-driven analysis and insights
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Frameworks to support AI readiness, governance and evaluation
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Training to support the uptake of ed-tech and AI tools
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Targeted training on piloted use-cases, providing a combination of technical and pedagogical support
​
We support you with the above using our following services:
-
Advisory (strategic development)
-
Identify and select Edtech and AI tools for piloting
-
Research design, sampling and piloting
-
Data-driven analysis and insights
-
Frameworks to support AI readiness, governance and evaluation
-
Training to support the uptake of ed-tech and AI tools
For Governments: integration and ongoing evaluation stage
​
This means you are implementing and rolling out EdTech. For governments in their integration and ongoing evaluation stage, we can:​​
-
Monitoring and evaluation of the full-scale roll-out
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Assess the readiness of various schools/regions for tools to inform the scale of the roll-out
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Inform projects to build readiness for EdTech and AI (e.g. infrastructure-related, data-related, training related)
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Training to support the uptake of EdTech and AI
-
Training on teaching pedagogies, using AI and ed-tech companies
-
Data literacy training
-
On-going targeted training on AI and EdTech use cases that are being rolled out
​
We support you with the above using our following services:
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M&E and advisory: monitoring and evaluation of the full-scale roll-out, assess the readiness of various schools/regions
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Training to support the uptake of ed-tech and AI
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Iteration of data-strategy
For Governments: AI and Data Science services
​
For governments, we provide the following AI-led and data science services:​​
-
There is typically a period of at least 1-2 years before ed-tech and AI tool result in changes within learner attainment
-
Earlier changes can be noticed within patterns of learner engagement with the tool. These shifts may be a condition of learner attainment, as well as being indicative of soft learning outcomes
-
We can:
-
Conduct a data audit, to advise the types of data which may be generated and available for analysis
-
Support an organisation level data strategy
-
Identify pedagogical KPIs which can be tracked through data (a golden thread), and implement data science/AI techniques to evaluate these
-
Inform human interventions through data analytics
-