Article: Dynamic evaluation of professional core OBE based on meta-learning and knowledge distillation Journal: International Journal of Information and Communication Technology (IJICT) 2026 Vol.27 No.47 pp.61 - 77 Abstract: It is a challenge in education to evaluate the actual learning progress of students accurately and dynamically. The existing evaluation methods mainly rely on static exam scores, so that they cannot reflect the competency development of students' learning process in a timely manner. This paper proposes a novel intelligent evaluation model. Based on the meta-learning technology, the model can adapt to various course requirements and combine the evaluation experience of multiple virtual educational specialists. Experiments show that the system can realise the dynamic learning process and realise precise evaluation of the learning process of students. The results show that the accuracy rate is 89.2% and the error rate is only 7.8%. In the early stage, the model achieves a high accuracy of 80%. The model overcomes the lag effect of the existing evaluation method and helps educators to get timely information for education improvement. Inderscience Publishers - linking academia, business and industry through research

Title: Dynamic evaluation of professional core OBE based on meta-learning and knowledge distillation

Authors: Xin Zhang

Addresses: School of Intelligent Manufacturing, Guangdong Polytechnic, Foshan, 528500, China

Abstract: It is a challenge in education to evaluate the actual learning progress of students accurately and dynamically. The existing evaluation methods mainly rely on static exam scores, so that they cannot reflect the competency development of students' learning process in a timely manner. This paper proposes a novel intelligent evaluation model. Based on the meta-learning technology, the model can adapt to various course requirements and combine the evaluation experience of multiple virtual educational specialists. Experiments show that the system can realise the dynamic learning process and realise precise evaluation of the learning process of students. The results show that the accuracy rate is 89.2% and the error rate is only 7.8%. In the early stage, the model achieves a high accuracy of 80%. The model overcomes the lag effect of the existing evaluation method and helps educators to get timely information for education improvement.

Keywords: meta-learning; knowledge distillation; outcome-based education; OBE; dynamic evaluation.

DOI: 10.1504/IJICT.2026.153523

International Journal of Information and Communication Technology, 2026 Vol.27 No.47, pp.61 - 77

Received: 17 Nov 2025
Accepted: 11 Dec 2025
Published online: 12 May 2026 *

Title: Dynamic evaluation of professional core OBE based on meta-learning and knowledge distillation

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