Title: Research on the construction of intelligent outcome-based education platform driven by deep learning
Authors: Yin Feng
Addresses: School of Marxism, Harbin University, Harbin, 150086, China
Abstract: This paper focuses on the construction of an intelligent outcome-based education (OBE) platform driven by deep learning and explores how to integrate deep learning technology with the OBE concept to meet students' personalised learning needs and improve teaching quality. Firstly, the research reviews the application status of deep learning in the field of education and the progress of OBE, elucidating the necessity and feasibility of combining the two. Based on this, a design scheme for an intelligent OBE platform, structured around a hierarchical architecture, is proposed, covering key modules such as user modelling, knowledge map construction, intelligent recommendation, and evaluation feedback. The experimental results demonstrate that the platform significantly improves students' grades, knowledge mastery, and the accuracy of personalised recommendations. The improvement in students' grades in the experimental group is 2.4 times greater than that of the control group, and the click-through rate of recommended resources reaches 78%.
Keywords: OBE; outcome-based education; deep learning; intelligent; intelligent recommendation; OBE concept.
International Journal of Data Science, 2025 Vol.10 No.7, pp.171 - 189
Received: 22 Apr 2025
Accepted: 03 Jul 2025
Published online: 16 Jan 2026 *


