Enterprise AI Analysis
Innovative Practice of Smart Education under the Background of Digital-Commerce Empowerment of Agriculture: AI Integration Approach in E-commerce Data Analysis Course
This research innovates the teaching model of e-commerce data analytics using AI, addressing challenges in traditional methods. It develops an intelligent library system with an AI teaching assistant, knowledge graph, and deep learning recommendation engine. The proposed hybrid teaching model integrates online and offline components, based on an 'AI two-teacher collaboration' for cognitive construction and teacher guidance. It also introduces a data-driven, industry-embedded context (industry context embedding, cognitive apprenticeship, and value immersion education). A multidimensional assessment system (formative and summative) reorganizes assessment methods. Empirical evidence shows significant improvements in students' data analysis and comprehensive abilities, teaching efficacy, performance, competition results, and course evaluation. It serves as a reference for business course reform in the smart era.
Executive Impact
Key metrics demonstrating the tangible benefits and improvements driven by our AI integration strategy.
0
Enhancement in Cognitive & Practical Skills
0
Student Satisfaction Rating
0
Provincial Accolades for Students
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Teaching Model Innovation
Curriculum Content Reform
Educational Equity & Effectiveness
Explores how AI-driven smart classrooms and blended teaching models impact learning outcomes, efficiency, and personalization in medical chemistry and e-commerce courses, while addressing technical and teacher training challenges.
Discusses adapting curriculum content and resources for the AI era, including integrating AI tools into data structures and algorithms, designing modular experimental content, and referencing international university curricula for domestic reform.
Examines the role of AI in promoting educational equity and improving learning outcomes in higher education, highlighting the need for robust research and generalizable results.
AI-Based Intelligent Foundation System
An AI-based technology infrastructure, utilizing the Smartlink-Qingyan large-scale model and an AI learning assistant, composed of four components: an AI teaching assistant module for cognitive diagnosis, a knowledge graph engine for 'people-goods-places' competency, an agricultural products e-commerce dataset, and real project practice for rural rejuvenation. This system overcomes 'one-to-many' teaching limitations by harmonizing group commonalities with individual needs and integrating thought elements.
Online Teaching: Releasing Classroom Knowledge Graphs
→
AI-assisted Previewing
→
Watching Course Micro-Videos
→
Offline Teaching: Introducing New Knowledge through Real-World Problems
→
AI-assisted Student-led Flipped Discussion
→
Data Analysis-Driven Tasks
→
Designing Board-Writing to Establish Frameworks
→
In-Class Advancement: AI-Provided Data-Analysis Project Libraries
→
Student Participation in Subject Competitions
→
Cultivating Theoretical Application and Logical Thinking
→
Ideological Integration: Mining Ideological Elements
→
Instilling Patriotism
→
Promoting Moral Education to Boost Internal Motivation
Dual-Teacher Collaboration Model Impact
The 'AI Dual-Teacher Collaboration' model, integrating AI-led cognitive construction with teacher guidance, significantly enhances student outcomes. It facilitates dynamic online personalization via deep reinforcement learning and offline 'four-stage progression' (concept integration, contextual cognition, inquiry deconstruction, system reconstruction) based on constructivism. Real-world case scenarios motivate learning, supported by MEEDA problem-driven model and knowledge graphs for cognitive reconstruction. The model uses intelligent agents for metacognitive monitoring, tailoring content (e.g., regression cases) and recommending improvement plans and disciplinary competitions.
12.2%
Percentage point increase in cognitive & practical skills
Three-Dimensional Teaching Implementation Path
The study proposes a three-dimensional teaching framework addressing traditional curriculum limitations, utilizing AI for a collaborative education system focused on rural revitalization. This model includes: 1) Horizontal Axis (Industry-Embedded Learning), integrating industry context through digital case bases and data-driven 'case chains'; 2) Vertical Axis (Cognitive Apprenticeship), employing interactive role-playing simulations for a three-tier knowledge transfer; and 3) Depth Axis (Value-Infused Education), integrating value-based education through a progressive framework of 'Ideological & Political Issues Chain → Ethical Decision Tree → Ethnic Emotional Network'.
| Dimension | Approach | Benefit |
|---|---|---|
| Horizontal Axis: Industry-Embedded Learning | Integrates industry context via rural revitalization strategy, developing a digital case base with multimodal, data-driven 'case chains'. |
|
| Vertical Axis: Cognitive Apprenticeship | Integrates interactive role-playing simulations into e-commerce rural assistance programs, supporting a three-tier knowledge transfer (theoretical → virtual → practical). |
|
| Depth Axis: Value-Infused Education | Integrates value-based education, building a three-tiered progressive framework ('Ideological & Political Issues Chain → Ethical Decision Tree → Ethnic Emotional Network'). |
|
Real-Time Commercial Database & Rural Revitalization
Pummelo E-commerce Project: Transforming Business Data into Dynamic Sandbox for Skill Development
In the context of supply chain analytics case studies, students are trained in higher-order thinking skills. The AI system transforms business data from the Pummelo e-commerce project into a dynamic sandbox, enabling students to digitally engage in data collection, cleansing, modeling, and decision-making. Generative AI creates personalized data scenarios (e.g., 30 cases of agricultural marketing difficulties in Guangdong for underperforming students) to ensure access to training resources. This smart base system overcomes 'one-to-many' teaching methods by harmonizing group commonalities with individual needs, while integrating thought elements.
The implementation of a real-time commercial database, integrating dynamic transaction data from e-commerce platforms and rural revitalization projects, enables students to conduct complex data analysis tasks. This overcomes the limitations of traditional practical teaching, which often relies on static case analysis, allowing students to interact with dynamic data that closely mirrors actual business scenarios and significantly improves their practical skills and data analysis literacy. Generative AI is used to create personalized data scenarios for students, ensuring all learners have access to appropriate training resources tailored to their needs.
Key Takeaways:
- Real-time data streams for complex analyses (crowd analysis, sales forecasting).
- Personalized data scenarios created by generative AI.
- Dynamic sandbox environment for practical skill development.
- Integration of rural revitalization projects for authentic learning.
Calculate Your Potential AI ROI
See how much time and money your enterprise could save by integrating AI-powered solutions.
Annual Cost Savings
$0
Hours Reclaimed Annually
0
Your AI Implementation Roadmap
A structured approach to integrating AI into your enterprise, ensuring maximum impact and minimal disruption.
Phase 1: Discovery & Strategy
Conduct a deep dive into your current operations, identify AI opportunities, and define clear objectives and KPIs.
Phase 2: Pilot & Proof of Concept
Implement AI solutions on a smaller scale, gather initial data, and validate the technology's effectiveness and ROI.
Phase 3: Scaled Deployment
Expand successful pilot programs across relevant departments, ensuring seamless integration and user adoption.
Phase 4: Optimization & Future-Proofing
Continuously monitor performance, refine AI models, and explore new advancements for sustained competitive advantage.
Ready to Transform Your Enterprise with AI?
Our experts are ready to guide you through every step of your AI journey. Book a free consultation today.
Ready to Get Started?
Book Your Free Consultation.
Let's Discuss Your AI Strategy!
Lets Discuss Your Needs
Select a Date
Sun
Mon
Tue
Wed
Thu
Fri
Sat