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Case ReportPublished systematic review2024
AAB-CASE-2025-RV-059

Artificial intelligence in education: A systematic literature review

ESWA; Canada/China teams; bibliometric + content analysis.

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

Business and economics schools (multi-country)

02

Learning context

Informal learning

03

AI role

Tutor

04

Outcome signal

Research synthesis

Registry Facets

0
Education Level
  • K-12
  • Higher education
Subject Area
  • AI in education
Use Case Type
  • Systematic review
Stakeholder Group
  • Researchers
AI Capability Type
  • Broad
Implementation Model
  • Cross-cutting
Evidence Type
  • Systematic review
Outcomes Domain
  • Research synthesis

Implementing Organization

1
Organization Type

Business and economics schools (multi-country)

Location

Canada / China

Primary Facilitator Role

Authors

Learning Context

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

Bibliometric + selective deep reading

Duration

Large corpus

Group Size

2,223 bibliometric; 125 deep-coded

Devices

AIEd applications across corpus

Constraints
  • Database coverage
  • English-heavy venues possible

Learner Profile

3
Age Range

All education levels represented in literature

Prior AI Exposure Assumed

N/A

Prior Programming Background Assumed

N/A

Educational Intent

4
Primary Learning Goals
  • Answer three macro questions on AIED applications, topics, and methods
Secondary Learning Goals
  • Highlight multidisciplinary venues and gaps
What This Was Not
  • Not primary student outcome experiment

AI Tool Description

5
Tool Type

AIEd systems (taxonomy across review)

AI Role
  • Tutor
  • Evaluator
  • Automation tool
Languages

Global publication network

User Interaction Model
    Safeguards
    • Ethical deployment noted as recurring challenge in corpus

    Activity Design

    6
    Activity Flow
    • Bibliometric pass
    • Content analysis subset
    • Framework synthesis
    Human Vs AI Responsibilities
      Scaffolding Strategies

        Observed Challenges

        7
        Educators Reported
        • Fragmented theories and methods
        • Rapid GenAI shift post-corpus

        Design Adaptations

        8
        Adaptations
        • Macro map for scholars entering AIED

        Reported Outcomes

        9
        Engagement
          Learning Signals
            Educators Reflection

            Orientation to dominant AIED clusters and open questions.

            Ethical & Privacy Considerations

            10
            Privacy
            • Corpus may underrepresent non-English scholarship

            Evidence Type

            11
            Evidence
            • Activity documentation
            • Practitioner observation

            Relevance to Research

            12
            Potential Research Use
            • Update with GenAI-era papers
            • Primary studies on identified gaps
            Relevant Research Domains
            • AIED
            • Bibliometrics
            • Systematic review

            Case Status

            13
            Case Status
            • Completed

            AAB Classification Tags

            14
            Age

            Mixed

            Setting

            Global literature

            AI Function

            Field map

            Pedagogy

            Review

            Risk Level

            Low

            Data Sensitivity

            N/A

            Registry Metadata

            15
            Case ID
            AAB-CASE-2025-RV-059
            Publication Status
            Published systematic review
            Tags
            caseK-12Canada / ChinaCross-cuttingBroadAI in educationSystematic review