Confidential — Stefan Michaelcheck Only

AI-Enabled Teaching Reform and Exploration of the “Big Data Operations and Maintenance” Course Based on Knowledge Graph

2026application demonstrationapplicationframework

曾磊磊

Creative Education Studies

https://doi.org/10.12677/ces.2026.142156OpenAlex: W7131298589
1
URLs Found
0
Internal Citations
1
Authors
usable
Abstract Quality
GPT-5.5 Abstract Analysis

Problems Identified (4)

Outdated course teaching model: The traditional teaching model for big data operation and maintenance courses requires systematic innovation due to changes driven by artificial intelligence.

Course teaching problems: The Big Data Operation and Maintenance course has various teaching problems that motivate reform.

Outdated course teaching model: The traditional teaching model for big data operation and maintenance courses requires systematic innovation due to changes driven by artificial intelligence.

Course teaching problems: The Big Data Operation and Maintenance course has various teaching problems that motivate reform.

Proposed Solutions (4)

AI-enabled knowledge graph course reform: The paper proposes using artificial intelligence and a course knowledge graph built on the Chaoxing Learning Platform to support teaching reform.

Five-dimensional teaching framework: The study builds a five-dimensional teaching framework of Thinking, Learning, Knowing, Practicing, and Applying.

AI-enabled knowledge graph course reform: The paper proposes using artificial intelligence and a course knowledge graph built on the Chaoxing Learning Platform to support teaching reform.

Five-dimensional teaching framework: The study builds a five-dimensional teaching framework of Thinking, Learning, Knowing, Practicing, and Applying.

Results (3)

Ability-oriented course transformation:

Coordinated learning-goal development:

Improved teaching and learning outcomes:

Research Domain

Educational technology and big data operations course teaching reform

← Back to all papers