Exploring New Horizons in AI Literacy: Critical Engagement with AI in Education
What does AI literacy mean for educators?
Objective:
To develop preservice teachers’ AI literacy by critically engaging with real-world case studies, examining ethical considerations, and reflecting on the role of AI in teaching, learning, and assessment.
AI Literacy Skills Developed:
Understanding AI Applications – Recognizing how AI is used in grading, research, planning, and education policy.
Ethical Awareness – Analyzing data privacy, bias, and academic integrity concerns related to AI in education.
Critical AI Evaluation – Assessing AI’s benefits and limitations for teaching, learning, and assessment.
AI Pedagogical Integration – Exploring how AI can be responsibly integrated into classrooms.
AI Decision-Making – Developing informed stances on when and how to use AI in professional practice.
Explore new horizons: QUick snapshots
ChatGPT is a great help!! Really?! What is it?
Generative AI in education offers immense benefits for those with AI literacy, enhancing learning and creativity. However, for students facing digital poverty - lacking access to devices, reliable internet, or digital literacy, GenAI exacerbates educational inequalities, limiting opportunities and deepening the digital divide.
Discuss:
How does digital poverty impact students' ability to engage equitably with Generative AI in education?
Effective Governance makes all the difference
I did write it - and no you can’t tell.
Jani, a program lead overseeing several large courses, faces a sharp rise in academic misconduct cases. Her staff report workload increases of 3-4 hours per week - sometimes up to 25% trying to ensure assessment validity and keep pace with innovation. Concerned about burnout, she refuses to overburden her staff, instead advocating for new hires to manage investigations and celebrates and acknowledges good pedagogy, whether it is with or without technology.
Discuss:
How can schools, TAFES and universities balance the opportunities GenAI presents with the increased administrative burdens it creates for educators?
Alex, an international pre-service teacher, is repeatedly accused of using GenAI in assessments despite never doing so. Lecturers insist, “It’s obvious, that you used ChatGPT.” In a constant state of panic, Alex fears these false claims could jeopardize their visa. Their confidence is shattered as they desperately try to prove their writing is their own.
Discuss:
What steps can staff and students take to uphold the validity and fairness of assessments?
Lost in translation
As a preservice teacher, I feel like something is getting lost in translation between the push for AI-driven innovation and the heart of what teaching is truly about: human connection. Policies champion technology as the future of education, but in the process, the human element—the relationships, the understanding, the support—risks being overshadowed. If technology takes center stage, how do we ensure that education doesn’t become just another system to be managed, but remains a space where students are truly seen, heard, and understood?
Discuss:
In a world dominated by technological solutions, is education at risk of losing its true meaning? How do we bridge the gap between innovation and human connection?
a transformative journey
The Divide in AI Adoption Among Academics
Sarah, a pre-service teacher, embraces Generative AI (GenAI) as a game-changer in her learning journey. She uses it for lesson planning, assessment design, and personalized student feedback, believing it enhances creativity and efficiency. Convinced that AI-driven insights make her a better teacher, Sarah is not aware of risks associated with tools like ChatGPT.
Discuss:
What potential challenges might arise from an uncritical reliance on GenAI in teacher education and classroom practice?
At a mid-sized university, some academics embrace Generative AI (GenAI) to speed up marking, research, and planning, citing efficiency gains. Others, who consider themselves more AI-literate, refuse to input student work into large language models or use AI for research writing and grading, citing ethical concerns, data privacy, and academic integrity.
Discuss:
Does greater AI literacy lead to more cautious use of AI in academia, or does it create barriers to innovation? How should universities balance efficiency with ethical concerns.
For each snapshot above, discuss the prompting questions individually and then consider "What is my stance on AI in education?” Do we need more effective governance or will it hinder effective teaching and learning?
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