A review of generative AI in digital education: transforming learning, teaching, and assessment

This is the authors' abstract. We don't add key points for this paper.

The key to digital education in the current time is generated artificial intelligence (GAI), which allows personalisation as per learning, automated content generation, and novel assessment methods. Traditional education does not have enough flexibility or engagement to cater to learners' specific individual needs. In this thesis, we investigate GAI's role in the intelligent shape teaching takes through innovative systems, AI-generated content, and real-time assessment. It also checks platforms such as Khan Academy's AI tutor, Duolingo's conversational AI, and AI plagiarism detection. Adaptive curricula, emotion-aware tutors, and VR integrated AI are on the emerging trends. Nevertheless, there are a few challenges namely bias, privacy concerns and teacher displacement. These need to be addressed by ethics frameworks, data protection policies and AI human collaborative teaching models. In the conclusion, the study argues that GAI facilitates education in terms, and in the process, it can lift accessibility and cost of education thereby it in a way it should be incorporated in education to achieve fairness, transparency and academic integrity. AI-human collaboration should be further refined in future research for an ethnically and ethically inclusive and learning environment.