Article: Leveraging machine learning for personalised learning, automated feedback, and predictive analytics in college English education Journal: International Journal of Information and Communication Technology (IJICT) 2025 Vol.26 No.16 pp.16 - 37 Abstract: Machine learning is changing the face of college English education with personalisation, immediate feedback, and student performance prediction. In this study, we propose an ML-driven framework. The first stage is an RNN attention model-based content recommendation, followed by a fine-tuned GPT-4 model for writing evaluation and an optimised random forest model for early risk detection. On real-world data, we achieve a 31.2% increase in recommendation accuracy, a 49% reduction in grading time with high BLEU and ROUGE scores, and 88.3% accuracy in identifying at-risk students. If data privacy, ethics, and the like are appropriately managed, ML increases student performance by 27% and grading efficiency by 40%. Inderscience Publishers - linking academia, business and industry through research

Title: Leveraging machine learning for personalised learning, automated feedback, and predictive analytics in college English education

Authors: Heng Wang

Addresses: Zhengzhou Academy of Fine Arts, Zhengzhou, Henan, 450000, China

Abstract: Machine learning is changing the face of college English education with personalisation, immediate feedback, and student performance prediction. In this study, we propose an ML-driven framework. The first stage is an RNN attention model-based content recommendation, followed by a fine-tuned GPT-4 model for writing evaluation and an optimised random forest model for early risk detection. On real-world data, we achieve a 31.2% increase in recommendation accuracy, a 49% reduction in grading time with high BLEU and ROUGE scores, and 88.3% accuracy in identifying at-risk students. If data privacy, ethics, and the like are appropriately managed, ML increases student performance by 27% and grading efficiency by 40%.

Keywords: machine learning; personalised learning; natural language processing; NLP; automated feedback; predictive analytics; English language teaching.

DOI: 10.1504/IJICT.2025.146375

International Journal of Information and Communication Technology, 2025 Vol.26 No.16, pp.16 - 37

Received: 17 Mar 2025
Accepted: 01 Apr 2025
Published online: 27 May 2025 *

Title: Leveraging machine learning for personalised learning, automated feedback, and predictive analytics in college English education

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