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Case ReportPublished
AAB-CASE-2025-RS-001

ArtChat Study

Informal case report of a 13-week quasi-experimental study investigating the impact of a curriculum-aligned generative AI chatbot (ArtChat) on self-regulated learning and engagement among digital media art students at an art university in eastern China.

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

Higher Education (Art University)

02

Learning context

In-class (Higher Ed)

03

AI role

ArtChat functions as an interactive learning assistant that provides course-specific, context-aware responses to student queries, supporting knowledge construction and self-regulated learning.

04

Outcome signal

High participation; ArtChat group demonstrated sustained interaction with the tool and increased voluntary engagement with course content

Registry Facets

0
Target Learners
  • Approx. 19–23 years (undergraduate students)
Geography
  • Eastern China (art university setting)
Setting
  • In-class (Higher Ed)
AI / Technology
  • Curriculum-aligned generative AI chatbot
Implementation Model
  • 13-week quasi-experimental study

Implementing Organization

1
Organization Type

Higher Education (Art University)

Organizations
  • Faculty of Applied Sciences, Macao Polytechnic University
  • Art and Design School, Anhui Broadcasting Movie and Television College
Location

Eastern China (art university setting)

Learning Context

2
Setting Type
  • In-class (Higher Ed)
Session Format

13-week quasi-experimental study

Duration

Weekly 90-minute sessions over 13 weeks

Devices

Personal mobile devices or lab computers (web interface)

Constraints
  • No individual logins required beyond university authentication
  • No personal data collected outside study parameters
  • Classroom-based setting with instructor supervision
  • Fixed class schedule (weekly 90-minute sessions)

Learner Profile

3
Age Range

Approx. 19–23 years (undergraduate students)

Program

Digital Media Art

Prior AI Exposure

No prior experience with generative AI tools assumed

Prior Programming Background

None assumed

Educational Intent

4
Primary Learning Goals
  • Mastery of introductory digital media art concepts
  • Development of self-regulated learning skills (planning, monitoring, reflection)
Secondary Learning Goals
  • Awareness of AI as a learning support tool
  • Ability to critically evaluate AI-generated responses
  • Improved learning attitudes and technology acceptance
What This Was Not
  • Not a programming lesson
  • Not an AI theory lesson
  • Not an assessment-driven activity

AI Tool Description

5
Tool Name

ArtChat

Tool Type

Curriculum-aligned generative AI chatbot

AI Role

ArtChat functions as an interactive learning assistant that provides course-specific, context-aware responses to student queries, supporting knowledge construction and self-regulated learning.

User Interaction Model
  • Students log into ArtChat via web interface
  • Students type text-based questions related to course content
  • ArtChat retrieves relevant information using RAG and knowledge graphs from uploaded course materials
  • Students receive structured, citation-backed answers
  • Students may ask follow-up questions or request clarification
Safeguards
  • Knowledge base restricted to instructor-uploaded course materials
  • No access to external or unfiltered internet content
  • Content moderation via AI model alignment
  • Instructor oversight during class sessions

Activity Design

6
Activity Flow
  • Instructor introduces weekly topic
  • Students engage with ArtChat during or after class for self-directed learning
  • Students reflect on responses and integrate them into understanding
  • Instructor facilitates discussion and addresses common questions
Scaffolding Strategies
  • Instructor guidance on effective prompting
  • Reflection prompts embedded in study design
  • Peer discussion and instructor-led synthesis

Observed Challenges

7
Items
  • Some students initially over-relied on AI without critical evaluation
  • Vague or poorly structured queries led to less useful responses
  • Time constraints limited deeper exploration in some sessions
  • General LLM group occasionally received off-topic or inaccurate information

Design Adaptations

8
Items
  • Added in-class orientation on effective questioning strategies
  • Reinforced "AI as a learning partner, not an answer machine" framing
  • Encouraged students to compare AI responses with course materials
  • Integrated reflection activities into post-class assignments

Reported Outcomes

9
Engagement

High participation; ArtChat group demonstrated sustained interaction with the tool and increased voluntary engagement with course content

Learning Signals Qualitative
  • Students revised their understanding based on AI feedback
  • Some questioned or challenged AI responses, prompting deeper inquiry
  • Peer discussions about AI-generated content increased
  • Students reported feeling more in control of their learning process

Ethical & Privacy Considerations

10
Items
  • No personal data collected beyond basic demographic information for research purposes
  • All student data anonymized in analysis and reporting
  • Informed consent obtained from all participants
  • Study approved by institutional ethics review
  • Tool usage aligned with university IT policies

Relevance to Research

11
Potential Research Use
  • Empirical validation of AI tools in higher education
  • Self-regulated learning and AI interaction studies
  • Cross-disciplinary AI applications (AI + education + arts)
Relevant Research Domains
  • Learning sciences
  • Educational technology
  • AI literacy
  • Art education
  • Human-AI collaboration

AAB Classification Tags

12

Human Vs AI Responsibilities

13
Human

Question formulation, critical evaluation, reflection, discussion

AI

Information retrieval, contextual explanation, draft generation

Contributors

14
Author

Yang, Chenglin; Un, Kin-Seong; Jiang, Shujing; Tan, Tao; Lam, Chi-Kin; Sun, Yue

Editor

Cao, Christopher — Research Assistant, M.S. Student, California State University, Fullerton

Registry Metadata

15
Case ID
AAB-CASE-2025-RS-001
Publication Status
Published
Tags
caseApprox. 19–23 years (undergraduate students)Eastern China (art university setting)In-class (Higher Ed)Curriculum-aligned generative AI chatbot