Case ReportPublished conceptual / case discussion2024
AAB-CASE-2025-RV-049
Embracing the future of Artificial Intelligence in the classroom: the relevance of AI literacy, prompt engineering, and critical thinking in modern education
Kalaidos UAS, Zurich; HE integration framing.
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
University of applied sciences
02
Learning context
Private program
03
AI role
Tutor
04
Outcome signal
Curriculum guidance
Registry Facets
0
Education Level
- Higher education
Subject Area
- AI literacy
- Pedagogy
Use Case Type
- Position paper
- Case study
Stakeholder Group
- Teachers
- Researchers
AI Capability Type
- LLM/Chat
- Generative AI
Implementation Model
- Classroom-level
Evidence Type
- Literature synthesis
Outcomes Domain
- Curriculum guidance
Implementing Organization
1
Organization Type
University of applied sciences
Location
Switzerland
Primary Facilitator Role
Author / faculty
Learning Context
2
Setting Type
- Private program
Session Format
Institutional case + literature-informed recommendations
Duration
N/A
Group Size
HE program (illustrative)
Devices
AI tools in teaching/learning
Constraints
- Single-institution narrative
- Rapid GenAI change post-publication
Learner Profile
3
Age Range
Higher education students
Prior AI Exposure Assumed
Increasing
Prior Programming Background Assumed
Discipline-dependent
Educational Intent
4
Primary Learning Goals
- Embed AI literacy, prompting, and critical thinking in curricula
Secondary Learning Goals
- Support diverse learners including students with special needs
What This Was Not
- Not an RCT of one AI tool
AI Tool Description
5
Tool Type
General AI in classroom (GenAI era)
AI Role
- Tutor
- Co-creator
Languages
Swiss HE context
User Interaction Model
- Prompting as core student skill
Safeguards
- Educator training and curriculum alignment
- Critical evaluation of AI outputs
Activity Design
6
Activity Flow
- Discuss transformation of teaching
- Propose curricular embedding strategies
Human Vs AI Responsibilities
- Humans retain judgment; AI assists personalization
Scaffolding Strategies
- Explicit critical thinking alongside tool use
Observed Challenges
7
Educators Reported
- Need comprehensive educator training
- Societal alignment pressures
Design Adaptations
8
Adaptations
- Practical classroom suggestions from Swiss case
Reported Outcomes
9
Engagement
Learning Signals
Educators Reflection
Actionable HE framing for AI literacy + prompting.
Ethical & Privacy Considerations
10
Privacy
- Academic integrity
- Bias and over-reliance
Evidence Type
11
Evidence
- Activity documentation
- Practitioner observation
Relevance to Research
12
Potential Research Use
- Empirical measurement of prompt-engineering curricula
- Cross-national policy comparison
Relevant Research Domains
- Higher education
- Prompt engineering
Case Status
13
Case Status
- Completed
AAB Classification Tags
14
Age
University
Setting
Switzerland HE
AI Function
Literacy + prompting
Pedagogy
Conceptual / case
Risk Level
Medium
Data Sensitivity
Low
Registry Metadata
15
Case ID
AAB-CASE-2025-RV-049
Publication Status
Published conceptual / case discussion
Tags
caseHigher educationSwitzerlandClassroom-levelLLM/ChatAI literacyPedagogyPosition paperCase study