Developing an AI framework for learning in higher education: a humanities perspective from English Literature.

Area of Science:

• Digital Humanities
• Artificial Intelligence in Education
• Medieval English Literature

Background:

• Higher education frameworks for AI in English Literature are underdeveloped.
• Geoffrey Chaucer's works present unique challenges for modern learners, including Middle English and historical context.
• Existing AI tools have limitations in supporting advanced literary analysis.

Purpose of the Study:

• To develop and present a framework for integrating Artificial Intelligence (AI) into the study of Geoffrey Chaucer in higher education.
• To investigate the efficacy of AI tools like ChatGPT and Amazon Polly in supporting Chaucerian scholarship.
• To address the need for a balanced approach combining AI with traditional scholarly resources.

Main Methods:

• Investigated the application of AI tools (ChatGPT, Amazon Polly) for studying Chaucer's poetry.
• Conducted research within a higher education context.
• Developed a framework integrating AI with active learning and digital scholarly editions.

Main Results:

• AI tools can facilitate initial familiarization with Chaucer's poetry.
• Current AI lacks the depth and rigor for advanced Chaucerian studies.
• Students and educators continue to rely on authoritative print and digital scholarly editions.

Conclusions:

• A framework is proposed that combines guided AI use with active learning strategies.
• The framework emphasizes the necessity of supplementary resources like digital scholarly editions.
• This approach aims to enhance the study of medieval English literature through a blended learning model.