Generative AI: The Perfect Partner for Customised Experiential Education
Generative AI is a technology that utilises a specific dataset to produce various types of content—such as poetry, images, emails, music, and explanations of chemistry—based on user prompts. Unlike conventional AI systems that mainly focus on analysing and categorising data, Generative AI utilises extensive language models that have been pre-trained to create original content in response to text prompts.
A human-in-the-loop method is crucial for creating content with Generative AI technologies. Oversight and intervention by humans are essential for verifying and testing automated processes before the complete deployment of autonomous systems. Adopting this method allows for the responsible and ethical application of AI, cultivating trust and assurance among clients and stakeholders.
In the field of online learning, Generative AI is rising as a strong personalised assistant in various areas. It adjusts in real-time to personal learning preferences, tackling significant shortcomings in conventional education, such as:
- Absence of customisation
- Postponed responses
- Excessive focus on rote learning rather than imaginative thinking.
- Restricted learner independence
Generative AI improves personalised content distribution, offers immediate feedback, and fosters active engagement from learners, fundamentally transforming the educational experience. It enables students to become active creators, allowing them to pose specific questions, grow and enhance their ideas, and work with AI to produce code, presentations, and narratives. Moreover, Generative AI helps teachers oversee content distribution and assistance, redirecting attention to individualised mentoring. This motivates teachers to participate in problem-solving via advanced thinking, cater to personal learning requirements, and foster autonomous learning.
Generative AI does not serve as a substitute for human teachers; instead, it enhances their capabilities. The responsible application of Generative AI in online education offers significant advantages, including personalisation, automation, and innovation. Nonetheless, it is crucial to tackle risks such as misinformation, bias, and dependency. Guaranteeing ethical, just, and accountable application of AI
Generative AI improves personalised content delivery, offers immediate feedback, and fosters engaged learner involvement, significantly transforming the educational experience. It empowers students to be active creators, allowing them to pose specific questions, enhance and refine their concepts, and partner with AI in generating code, presentations, and stories. Moreover, Generative AI helps teachers manage content distribution and assistance, redirecting attention towards individualised mentoring. This motivates teachers to involve themselves in problem-solving via advanced thinking, cater to unique learning requirements, and foster self-directed learning.
| Scenario | Ethical Consideration | Good Practice |
| A student uses ChatGPT to write an essay | Risk of plagiarism | Use Generative AI for brainstorming, but write in your own words and cite where necessary |
| A platform collects students’ writing styles for personalisation | Privacy | Require informed consent and offer opt-out options |
| An AI model gives biased feedback, favouring a specific region or gender | Fairness | Regular audits and diverse training data are required |
| Using Generative AI to grade student essays | Transparency & accountability | Teachers should manually review and validate AI scores |
Practical Ethical Scenarios
Importance of Stakeholders in Ethical Implementation of GenAI
Learners
Employ Generative AI as an aid, not as a dependency.
Verify AI results against trustworthy references.
Preserve integrity and uniqueness in evaluations.
Instructors
Integrate AI literacy into the educational program.
Develop tasks that promote analytical thinking instead of simple memorisation of facts.
Be open regarding the use of AI in educational resources.
Institutions
Create regulations and ethical standards for AI usage.
Guarantee availability of ethical, inclusive AI resources.
Educate faculty on the ethical incorporation of Generative AI into teaching practices.
Programmers & Educational Technology Firms
Create transparent, accountable, and equitable models.
Emphasise the confidentiality of students and the ethical development of AI.
Regularly review and refresh tools to comply with ethical guidelines.
Concluding Thoughts
The ethical application of Generative AI in education goes beyond simply preventing misuse; it involves optimising the advantages responsibly. When connected to fundamental educational principles—equity, integrity, inclusion, and critical inquiry—Generative AI can improve the learning experience for everyone.
Blog Contributed By Dr Prerna Singh