Generative AI in Education: Responsible, Effective and Human-Centred Practice
An educational manuscript examining responsible, effective, and human-centred generative AI across teaching, learning, assessment, and professional practice.
Work
Browse by type, professional area, status or demonstrated capability, then follow each work from overview to architecture, process and evidence.
How the Work Connects
This visual explains how Anthony’s professional foundations inform design and development, produce clearly reviewable educational outputs and contribute to practical educational value.
Teaching and pedagogy, Early Childhood Education and Care, educational management, research and inquiry.
Curriculum architecture, instructional design, educational writing, assessment, quality assurance and multimedia learning design.
Frameworks, publications, course systems, evidence, research and interactive educational resources.
Coherent learning, usable knowledge, assessable outcomes, professional application and continuous improvement.
The supporting process is Practice, Analysis, Architecture, Production and Quality Assurance.
An educational manuscript examining responsible, effective, and human-centred generative AI across teaching, learning, assessment, and professional practice.