TEACHER COMPETENCY

“AI-assisted teaching: Teachers are expected to be able to identify and leverage
the pedagogical benefits of AI tools to facilitate subject-specific lesson planning,
teaching and assessment while mitigating the risks.”

CURRICULAR GOALS (CG)

“CG 4.1.1 Organize lesson analyses based on exemplar videos of teachers using AI tools in the classroom; facilitate teachers’ understanding of the appropriateness of these tools, including their efficacy, relationship to pedagogical methods, and effects on inclusion for students with different
abilities; additionally, guide teachers’ self-reflection on AI-assisted lessons they have designed and
implemented.”

“CG 4.1.2 Encourage teachers to be mindful of scholarly research on the use of AI to support pedagogical activities by exposing them to selected evidence-based studies and reports on the advantages and disadvantages of AI-assisted teaching activities.”

“CG 4.1.3 Facilitate the transferability of foundational knowledge and skills on AI to teaching by presenting locally accessible and validated AI tools that are relevant for teachers’ local contexts and
responsibilities including institutionally deployed AI systems; use the tools to guide teachers to apply their conceptual knowledge and operational skills to the practical uses of AI tools in teaching; guide teachers to learn how to search for and validate appropriate educational AI tools.”

“CG 4.1.4 Facilitate the pedagogical validation of AI and instructional design on AI-assisted teaching; recall and strengthen teachers’ understanding of domain-specific pedagogical methodologies and basic instructional design methods (e.g. human agent interaction proposed by UNESCO’s Guidance
for generative AI in education and research); guide teachers to conduct hands-on practice of the
design-implementation-reflection cycle of lessons, including evaluating the appropriateness of AI to
support their subject areas at specific grade levels, making decisions on whether AI should be used
and which tools may be appropriate, designing and implementing AI-assisted teaching activities
including in preparation of teaching materials, delivery, assessments and support for students
with special needs, and conducting reflection on lesson design and implementation in accordance
with CG 4.1.1.”

LEARNING OBJECTIVES (LO)

“LO 4.1.1 Demonstrate familiarity with a human centred mindset, ethical principles, domain appropriate pedagogical methodologies and conceptual knowledge on AI to analyse sample lessons
and explain their decisions on whether AI should be used, what tools should be used and why.”

“LO 4.1.2 Exemplify the main categories of AI systems and applications designed to assist teaching, learning and assessment demonstrating familiarity with their potential and limitations.”

“LO 4.1.3 Demonstrate familiarity with the use of basic instructional design methods to guide decisions on whether and when to use AI, and which tools might be appropriate; confidently prepare and implement AI-assisted teaching and assessment, and support for students with special needs.”

“LO 4.1.4 Find and use basic educational AI tools and/or operate institutionally deployed AI systems.”

CONTEXTUAL ACTIVITIES

“Starting from basic teaching needs: Delineate basic needs in the preparation and implementation of teaching and learning assessment. Start from basic needs as the first principle to understand
whether a specific AI tool is appropriate – to what extent does it meet these needs, add relevant value, or fit the specific needs in question?”

“Learning by the iterative cycle of ‘design implementation reflection’: Learn and gradually improve ability to design and deliver appropriate AI-assisted teaching through an iterative loop of analysing exemplar lessons, designing and implementing their own lesson plans, and assessing/reflecting on
implementation.”

“Evaluating effectiveness against needs: Gain first-hand experience of the limitations, risks and benefits of AI for teaching and learning, based on the results of actual use of AI to meet teaching needs, and the extent to which AI can achieve the expected outcomes.”