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Case ReportPublished curriculum / implementation paper2023
AAB-CASE-2026-RV-123

Develop AI Teaching and Learning Resources for Compulsory Education in China

Artificial intelligence course has been required to take for compulsory education students in China. However, not all teachers and schools are fully prepared and ready.

This page documents an AI literacy or AI education case for registry purposes. It is descriptive and does not imply AAB endorsement of any specific tool, provider, or intervention.
01

Implementation

Source publication / research team or educational organization described in paper

02

Learning context

In-school (K-12)

03

AI role

Learning object / concept model

04

Outcome signal

Conceptual understanding

Registry Facets

0
Education Level
  • K-5
Subject Area
  • K-12
  • China
  • curriculum resources
  • AI literacy / AI concepts
Use Case Type
  • Curriculum / course design
  • Teacher professional development
Stakeholder Group
  • Students
  • Teachers
AI Capability Type
  • AI literacy / AI concepts
Implementation Model
  • In-school (K-12)
Evidence Type
  • Activity documentation
Outcomes Domain
  • Conceptual understanding
  • Teacher readiness

Implementing Organization

1
Organization Type

Source publication / research team or educational organization described in paper

Location

China

Primary Facilitator Role

Researchers, educators, instructors, or facilitators as described in the source publication

Learning Context

2
Setting Type
  • In-school (K-12)
Session Format

Course implementation or course design

Duration

Not specified in extracted text

Group Size

tudents should learn from grade 1 to grade 9. In other words, more than 158,000,000 students in 207,200 primary and junior high schools (Ministry of Education of The Peo- ple’s Republic of China 2022a) are suppos

Devices

AI literacy / AI concepts

Constraints
  • Teacher readiness, time, support, and classroom integration may affect implementation quality.
  • Use with minors requires attention to privacy, consent, data minimization, and adult supervision.

Learner Profile

3
Age Range

K-5

Prior AI Exposure Assumed

Mixed or not explicitly specified; infer from target learner group and intervention design.

Prior Programming Background Assumed

Varies by intervention; not specified unless the paper explicitly describes prerequisites.

Educational Intent

4
Primary Learning Goals
  • Document the AI education intervention, course, tool, or resource described in the source publication.
  • Extract the learner context, AI role, pedagogy, outcomes, and constraints for AAB registry comparison.
  • Artificial intelligence course has been required to take for compulsory education students in China.
Secondary Learning Goals
  • Support AAB comparison across AI literacy, AI education, teacher training, higher education, and workforce contexts.
  • Capture evidence maturity, transferability, and limitations rather than treating the publication as product endorsement.
What This Was Not
  • Not an AAB endorsement of the tool, curriculum, provider, or result.
  • Not a direct replication record unless the source paper reports implementation details sufficient for replication.

AI Tool Description

5
Tool Type

AI literacy / AI concepts

Languages

Not specified in extracted text

AI Role
  • Learning object / concept model
User Interaction Model
  • Primary interaction pattern inferred from publication: Curriculum / course design, Teacher professional development.
  • AI capability focus: AI literacy / AI concepts.
Safeguards
  • Use age-appropriate framing and teacher/facilitator oversight for any classroom deployment.

Activity Design

6
Activity Flow
  • Review the publication’s reported context, learner group, AI tool or curriculum, implementation process, and outcome evidence.
  • Map the case to AAB registry fields for comparison across educational levels and AI capability types.
  • Use the source publication and PDF for any manual verification before public registry release.
Human Vs AI Responsibilities
  • Human educators/researchers remain responsible for instructional design, supervision, interpretation, and ethical safeguards.
  • AI systems or AI concepts provide the learning object, support tool, evaluator, simulator, or automation context depending on the paper.
Scaffolding Strategies
  • Instructional / curriculum-based learning
  • Registry extraction emphasizes explicit learning goals, observed outcomes, constraints, and safety limitations.

Observed Challenges

7
Educators Reported
  • Teacher readiness, time, support, and classroom integration may affect implementation quality.
  • Use with minors requires attention to privacy, consent, data minimization, and adult supervision.

Design Adaptations

8
Adaptations
  • Case classified under: Published curriculum / implementation paper.
  • Pedagogical pattern: Instructional / curriculum-based learning.
  • Any additional adaptations should be verified against the full paper before public-facing publication.

Reported Outcomes

9
Engagement
  • Engagement evidence should be interpreted according to the source paper’s reported method and sample.
  • This is partially because of the lack of adequate teaching and learn- ing resources, which requires a major expenditure of time and effort for schools and teachers to design and develop.
Learning Signals
  • This is partially because of the lack of adequate teaching and learn- ing resources, which requires a major expenditure of time and effort for schools and teachers to design and develop.
  • To meet the challenge of lacking appropriate resources in teaching and learning AI from grade 1 to grade 9, we de- veloped AI knowledge structure and instructional resources based on Chinese national curriculum for information science and technology.
  • Our comprehensive AI syllabus contains 90 core concepts, 63 learning indicators, and 27 teaching and learning resources, which have been implemented.
Educators Reflection

Artificial intelligence course has been required to take for compulsory education students in China. However, not all teachers and schools are fully prepared and ready.

Ethical & Privacy Considerations

10
Privacy
  • Use age-appropriate framing and teacher/facilitator oversight for any classroom deployment.

Evidence Type

11
Evidence
  • Activity documentation

Relevance to Research

12
Potential Research Use
  • Can be used as an AAB evidence record for cross-case comparison, standards drafting, and evidence-maturity mapping.
  • Supports identification of recurring patterns in AI literacy, AI education implementation, teacher preparation, assessment, and responsible AI learning.
Relevant Research Domains
  • Conceptual understanding
  • Teacher readiness
  • Curriculum / course design
  • Teacher professional development
  • AI literacy / AI concepts

Case Status

13
Case Status
  • Completed

AAB Classification Tags

14
Age

K-5

Setting

In-school (K-12)

AI Function

AI literacy / AI concepts

Pedagogy

Instructional / curriculum-based learning

Risk Level

Low to Medium

Data Sensitivity

Medium

Source Publication

15
Title

Develop AI Teaching and Learning Resources for Compulsory Education in China

Authors
  • Jiachen Song
  • Jinglei Yu
  • Li Yan
  • Linan Zhang
  • Bei Liu
  • Yujin Zhang
  • Yu Lu
Venue

Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 37 No. 13, EAAI-23

Year

2023

Doi

10.1609/aaai.v37i13.26904

Source URL

https://ojs.aaai.org/index.php/AAAI/article/view/26904

Pdf URL

https://ojs.aaai.org/index.php/AAAI/article/view/26904/26676

Pdf Filename

095_Develop AI Teaching and Learning Resources for Compulsory Education in China.pdf

Page Count

7

Abstract

Artificial intelligence course has been required to take for compulsory education students in China. However, not all teachers and schools are fully prepared and ready. This is partially because of the lack of adequate teaching and learn- ing resources, which requires a major expenditure of time and effort for schools and teachers to design and develop. To meet the challenge of lacking appropriate resources in teaching and learning AI from grade 1 to grade 9, we de- veloped AI knowledge structure and instructional resources based on Chinese national curriculum for information science and technology. Our comprehensive AI syllabus contains 90 core concepts, 63 learning indicators, and 27 teaching and learning resources, which have been implemented. The re- sources have been taken as model courses in teacher training programs and an exemplary course has been implemented in primary schools that verified the effectiveness of our re- sources.

Transferability

16
Best Fit Contexts
  • In-school (K-12)
Likely Failure Modes
  • Teacher readiness, time, support, and classroom integration may affect implementation quality.
  • Use with minors requires attention to privacy, consent, data minimization, and adult supervision.

Cost And Operations

17
Time Cost Notes

Not specified in extracted text unless noted in duration field.

Staffing Notes

Requires educators/researchers/facilitators with sufficient AI literacy and pedagogy knowledge for the target learners.

Infra Notes

Infrastructure depends on AI tool type, learner devices, data access, and institutional policy context.

Extraction Notes

18
Confidence

High

Missing Information
  • duration
Reasoning Limits

This entry was automatically extracted from the PDF text and manifest metadata. Fields should be manually verified before public registry publication, especially group size, location, duration, and outcome claims.

Duplicate Check Against Uploaded Cases Json
Closest Existing Title

Artificial Intelligence teaching and learning in K-12 from 2019 to 2022: A systematic literature review

Similarity Score

0.458

Likely Duplicate

false

Registry Metadata

19
Case ID
AAB-CASE-2026-RV-123
Publication Status
Published curriculum / implementation paper
Tags
caseK-5ChinaIn-school (K-12)AI literacy / AI conceptsK-12Chinacurriculum resourcesAI literacy / AI conceptsCurriculum / course designTeacher professional development