Page 6 - CT&AI_CLasa_7_Part_1
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Syllabus
Curricular Goals and Competencies
Curricular Goals Competencies
CG-1 Develops skills and capacities C-1 Approaches problems using programmatic thinking
of computational thinking, techniques such as iteration, symbolic representation, and
namely, decomposition, pattern logical operations, and reformulates problems into a series
recognition, data representation, of ordered steps.
generalisation, abstraction, and C-2 Learns systematic arithmetic reasoning, iterative
algorithms to solve problems where patterns, and multiple data representations; to devise and
such techniques of computational follow algorithms, with an eye towards understanding
thinking are effective. correctness, effectiveness, and efficiency of algorithms.
CG-2 Develops spatial and visual C-3 Learns to visualize, manipulate, represent, and
reasoning.
understand the relationships between objects in space.
CG-3 Gain foundational knowledge of AI, C-4 Applies abstraction and generalization to identify core
its types, and domains.
structures and patterns in problems, enabling the design of
CG- 4 Understand key ethical terms reusable procedures and models across varied contexts.
such as bias and fairness in C-5 Demonstrate the knowledge of AI tools through different
relation to AI. projects and activities.
CG-5 Demonstrates proficiency to C-6 Identifies ethical issues and applies ethical principles to
use Computer & other devices, make informed decisions regarding AI usage.
computer applications for learning
and practical purposes such C-7 Uses computers or any other appropriate devices &
as data analysis, preparation software/applications for creating visual representations
of visual representations and of ideas, organizing and analyzing data, conducting
communication of ideas. simple online research, gathering images, and designing
infographics.
Approach across school stages
At this stage CT skills are furthered to the advanced level and introduction to foundational understanding
of AI will be done.
The best approach is to have a combination of CT worksheets along with an introduction to basic AI theory,
and interdisciplinary projects that combine both CT and AI in the middle school stage.
Use additional materials, such as worksheets, and teacher and student handbooks to integrate Computational
Thinking (CT) with other subjects. Include more challenging questions than those in Class 3–5.
Teaching students the fundamentals of artificial intelligence with relatable real-world examples will help
them understand AI's role in society.
Using project-based learning with AI tools, basic data analysis, and Computational Thinking will help
students create solutions to real-world issues.
Introducing conversations about digital footprints, bias, privacy, and fairness in AI systems to cultivate
conscientious, ethical, and thoughtful digital citizens.
Encourage critical thinking, creativity, and curiosity through experiential, inquiry-based learning
opportunities.
(iv)
