Policy summary

Studiosity’s AI for Learning policy prioritises student learning gains via ethical academic guidance, while ensuring security, equitable access, and participation, made possible with educators at our institutional partners.

Studiosity’s AI services are continually developed to align with best practice, and are designed to grow students’ engagement with their wider degree experience, including their institution’s support ecosystems and communities.

About this document

This policy is structured around our nine principles, each informed by global public policy and our longstanding partnerships and experience in higher education. This document complements our Academic Integrity Policy and AI and Environmental Social Governance (ESG) Policy.

We are committed to the ethical application of AI, defined as protecting students’ personal cognitive achievement and sense of belonging, and the academic reputation of our institutional education partners.

We provide this statement to record and demonstrate this commitment to our teams, to our suppliers, to our partners including universities and education institutions, to all students engaged with our services, and to the public.

Principle 1Learning

• 1.1Student learning gains are reportable and accessible.
• 1.2Recognised educational frameworks, including Bloom’s, are used to measure key learning indicators, including critical thinking development.
• 1.3Managers and administrators can identify students who require next level supports.

Principle 2Ethical

• 2.1Studiosity implements and maintains rigorous academic and organisational governance.
• 2.2Students are provided with the tools to make ethical academic decisions, to meet academic integrity rules set by their provider.
• 2.3Education providers can sustainably deliver equitable access and support for all students.
• 2.4Students can easily seek formative feedback and academic skills support, to improve their own chances for success.
• 2.5Continual service iterations and design are in the best interests of student learning and belonging to their education provider and to other students, including the prevention of technology addiction and AI ‘persona attachment’ that can reduce agency.
• 2.6See “AI and Environmental Social Governance (ESG) Policy”.

Principle 3Cognitive development and academic integrity

• 3.1Students’ work is personal, original cognitive input without generative AI writing ‘for’ the student.
• 3.2Studiosity AI does not offer to alter student content, voice, or tone.
• 3.3Students are unable to accept, automatically or manually, any formative feedback about their critical thinking — ensuring students are engaging in the learning process and making decisions about their own work.
• 3.4Reporting shows evidence of students’ applied critical thinking improvement over time.

Principle 4Humans in the Loop

• 4.1Studiosity’s comprehensive ‘Humans in the Loop’ process grows belonging, maintains quality assurance, reinforces educators’ authority and accountability, and facilitates the sharing of experiences and resources among teaching staff, administrators, and students.
• 4.2Studiosity’s services promote student engagement with AI feedback alongside human interaction.
• 4.3Administrators can identify students’ use of multiple learning services within the Studiosity platform, to demonstrate students’ authentic learning journeys, including peer connection and academic skills development, and can direct to other services within the wider university teaching and learning ecosystem.

Principle 5Equity of access and participation

• 5.1The AI model(s) output draws on our experience providing educative feedback to diverse cohorts including millions of students, making the AI support fit for purpose for higher education contexts.
• 5.2Studiosity continually gathers evidence of technology acceptance and adoption among students and the continual pursuit of new standards for user experience.
• 5.3Studiosity ensures ongoing review of accessibility benchmarks for users.
• 5.4Students will never be asked to pay for access; this is in line with Studiosity’s mission to increase life chances at scale for all students regardless of socio-economic circumstances.

Principle 6Privacy

• 6.1The Studiosity service will remain data light, this includes preventing unnecessary data capture and storage.
• 6.2Personally-identifiable information (PII) and student feedback are not used in AI model training.
• 6.3Studiosity is certified for compliance with relevant privacy legal frameworks.
• 6.4Studiosity is available within the institutional learning management system for secure access and management.

Principle 7Transparency

• 7.1Students are aware they are using AI in relevant services.
• 7.2Program administrators can monitor all interactions and learning progress.
• 7.3Students and staff receive training to understand service expectations and the function of the AI-based support.

Principle 8Efficacy

• 8.1Evidence of impact on student success can be demonstrated, including across student cohorts or within the HEI sector.
• 8.2Studiosity will invite independent research into efficacy and effectiveness.
• 8.3Studiosity has configured the generative AI to provide critical thinking feedback and reporting to educators based on known frameworks, including levels within Bloom’s Taxonomy.

Principle 9Sustainable, institutional value for our partners in education

• 9.1A Studiosity Partner Services Manager role will be assigned to institutional partners for service accountability, support, and an ongoing feedback loop.
• 9.2A demonstrated institutional ROI on the learning technology will be available.

Contact

For questions about this policy, or to discuss it with your institution’s team, email our ESG group.

esg@studiosity.com

Guided by best practice policy from within the sector

• Deputy Vice Chancellor and Senior Executive Advisory Group Meetings, Sydney and London (February – October 2023).
• Faculty statement on Generative Artificial Intelligence (2023) Dalhousie University. Available at: dal.ca.
• Foltynek, T. et al. (2023) ENAI recommendations on the ethical use of Artificial Intelligence in education, International Journal for Educational Integrity, BioMed Central. Available at: edintegrity.biomedcentral.com.
• Group of Eight principles on the use of Generative Artificial Intelligence (2023) Group of Eight. Available at: go8.edu.au.
• New principles on use of AI in Education (2023) The Russell Group. Available at: russellgroup.ac.uk.
• Lodge, J., Howard, S., Bearman, M., Dawson, P. (2023) Assessment reform for the age of Artificial Intelligence. Tertiary Education Quality and Standards Agency. Available at: teqsa.gov.au.
• The Institute for Ethical AI in Education interim report (2020) The University of Buckingham. Available at: buckingham.ac.uk.
• UNESCO (2024) AI competency framework for students. Available at: unesdoc.unesco.org.
  
  

Guided by the feedback and advice from our 250+ education partners.