Editing AI Literacy as a bottle neck (section)

== '''4. Practice and Feedback''' ==

=== '''Practice Sequence''' ===
'''How can we create scaffolded opportunities for students to practice critical AI engagement. This practice sequence can be used for educators/instructors in their own critical AI thinking'''

==== '''Week 1: Recognition Practice''' ====

* Students identify AI use in their daily academic life
* Document one unconscious AI use and reflect on it
* Share in pairs: "I didn't realize I was using AI when..."

==== '''Week 2: Decision Point Practice''' ====

* Give students identical tasks
* Half use AI, half don't
* Compare processes and outcomes, focusing on what each approach revealed

'''Week 3: Critical Prompt Development'''

* Students develop prompts     for the same task
* Analyze how different     prompts lead to different outputs
* Reflect on what this     reveals about AI as a tool

'''Week 4: Integration Practice'''

* Complete a full assignment     with documented AI decision points
* Create an "AI use     statement" explaining choices
* Peer review focusing on     critical thinking about AI use

AI literacy represents a fundamental conceptual threshold for students:

# '''Access and Leverage Research Methods''': Without understanding AI fundamentals, students cannot effectively utilize increasingly AI-dependent research tools and methodologies.
# '''Critically Analyze Contemporary Social Phenomena''': Many social interactions, inequalities, and power structures are now mediated through AI systems. Without literacy in this area, students lack the conceptual framework to properly analyze these phenomena. So, AI’s link to disinformation and being critical of media sources.

'''Key Bottleneck Areas'''

'''1. Methodological Understanding'''

Students who don't grasp basic AI literacy will struggle to:

* Design research that accounts for algorithmic bias
* Properly interpret AI-assisted data analysis
* Evaluate the validity of AI-enhanced research methods

'''2. Theoretical Application'''

Limited AI literacy impedes students' ability to:

* Apply existing social theories to algorithmic systems
* Develop new theoretical frameworks that incorporate AI's social impacts
* Connect traditional geographic (social science) concepts to emerging technological realities

'''3. Ethical Reasoning'''

Without AI literacy, students cannot:

* Effectively assess ethical implications of AI deployment in social contexts
* Develop frameworks for responsible AI use in social science research
* Navigate complex issues of consent, privacy, and agency in algorithmic environments

'''Pedagogical Implications'''

# '''Threshold Concept Teaching''': Design curriculum to explicitly address AI literacy as a threshold concept that transforms how students understand social phenomena
# '''Scaffolded Learning''': Build progressive understanding from basic algorithmic concepts to complex socio-technical analysis
# '''Interdisciplinary Integration''': Incorporate AI literacy across courses rather than isolating it to "tech" modules
# '''Practical Application''': Provide hands-on experience with AI tools to overcome conceptual barriers through practice



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