Ei Mindspark AI & Digital Thinking

Alignment with the CBSE Computational Thinking & Artificial Intelligence Curriculum, Classes 5 to 8

For each CBSE competency, grade by grade, this resource sets out the Mindspark strands and modules that deliver it, and how. CBSE introduces AI at Class 6; Mindspark begins it at Class 5.
Reference

The eight Mindspark strands

Six strands map onto CBSE's Computational Thinking and AI competencies; the last two extend beyond the framework.

Logical Thinking via PuzzlesConstraint satisfaction, deduction, elimination, spatial reasoning and optimisation, developed through interactive puzzles.
Programming FundamentalsA scaffolded path from visual block coding to text-based coding in p5.js and Python, and on to AI-assisted coding.
Data Analysis & RepresentationReading, sorting, filtering, visualising and reasoning with real-world datasets.
AI FoundationsHow AI perceives, learns, decides and errs: rules versus learned models, training data, neural networks, bias and the limits of AI.
Doing More with AIDirecting AI to create and build, with an emphasis on precise prompting and human verification.
Critical ReasoningDistinguishing fact from opinion and claims from evidence, identifying assumptions and flaws, and evaluating arguments, advertisements and media.
Digital Literacy & AwarenessOnline safety, privacy, media literacy, and understanding how everyday digital systems work.
Simulations and ModelingUsing AI-assisted simulations to model and explore real-world and counter-intuitive systems.
CT

Computational Thinking

CT

Algorithmic Thinking

Mindspark strand: Programming Fundamentals
GradeCBSE competency at this gradeSample Mindspark modulesHow Mindspark covers it
G5 Follow multi-step rules: sequences, grid movement, transfers and swaps, ordering by attributes.Artist 1-5Maze Maps 1-4Cafe Cashier
  • Artist: the child snaps together drawing blocks to make shapes, then discovers loops and nested repeats to redraw the same design in far fewer blocks.
  • Maze Maps: the child guides a character to a goal with move, turn, repeat and until blocks, debugging the path when it overshoots.
  • Cafe Cashier: the child serves orders in the fewest steps possible, so efficiency is trained, not just a correct answer.
G6 Combine operations and logical conditions; constrained grid paths; tell necessary from redundant steps.Story Maker 1-5Conditional Golf 1-2Music Maker 1-2
  • Story Maker: the child places sprites by coordinates and drives a scene with events and variables, then fixes a story that plays out wrong.
  • Conditional Golf: the child adds IF and IF-ELSE decisions so the shot changes with the situation.
  • The child also trims a routine that works but wastes moves, judging a program by its quality, not only its output.
G7 Conditional branching, pathfinding with decision points, if-then reasoning and consistency checks.T-shirt Sorter 1-3Conditional Golf 3-4Music Maker Create
  • T-shirt Sorter: the child programs a factory machine with nested IF / ELSE-IF / ELSE rules, using AND and OR to route shirts by size and colour.
  • Conditional Golf: the child extends decisions into ELSE-IF chains for multi-way choices.
  • Music Maker: the child names and reuses functions to compose a tune, the first step into real program structure.
G8 Conditional logic, sequential decisions under limits, and optimisation for maximum or minimum outcomes.Knapsack PuzzlePixel Art CreateCafe Cashier
  • Knapsack Puzzle: the child picks a combination of gems to hit an exact weight and value, balancing two competing constraints at once.
  • Pixel Art Create: the child compresses an image using run-length and multiplication encoding, hunting for the shortest code that still reproduces it.
  • The target throughout is the most efficient solution, not merely one that works.
CT

Pattern Recognition

Mindspark strand: Logical Thinking via Puzzles
GradeCBSE competency at this gradeSample Mindspark modulesHow Mindspark covers it
G5 Identify progressive patterns with multiple changes across numbers, shapes and letters.Decode ColoursAlphamess 1-2Sketch This
  • Decode Colours: the child guesses a hidden sequence of colours, reads the feedback after each try, and reasons out the rule to crack it.
  • Alphamess: the child unscrambles words within a strict move limit, spotting the letter pattern that gets there fastest.
  • Sketch This: the child reproduces a design using copy and transform tools, learning to see the repeating unit.
G6 Extend and justify patterns with simultaneous changes; alternation, grouping and dependency rules.Animal SortingSkyscrapers 1Music Maker 3
  • Animal Sorting: the child builds nested if-else rules that route each animal into the right zone, reading the pattern in the target output.
  • Skyscrapers: the child fixes building heights so every point-of-view clue around the grid is satisfied at once.
  • The child is pushed to name a far-off term in a pattern without drawing every step: generalising the rule.
G7 Multi-rule, nested and algebraic patterns using variables and functional relationships.Pixel Art 1-2Music Maker 1-3Decode Colours
  • Pixel Art: the child reproduces a picture in code, then finds the encoding that captures its repeating and mirrored patterns in fewer instructions.
  • Music Maker: the child reconstructs a tune by spotting its repeating and positional note patterns.
  • Cipher-style puzzles ask the child to recover a missing piece of a rule, working inside it rather than just applying it.
G8 Patterns in powers and numerical structures; relationships across representations; conditional rules.Pixel Art CreateSkyscrapers 2Recursive Trees
  • Pixel Art Create: the child chooses the encoding rule that reproduces an image in the fewest symbols, comparing strategies for compactness.
  • Recursive Trees: the child writes one branching rule and watches a whole self-similar tree generate itself from it.
  • Pattern becomes generative here: writing the rule that produces the pattern, beyond extending one.
CT

Decomposition

Mindspark strand: Logical Thinking via Puzzles
GradeCBSE competency at this gradeSample Mindspark modulesHow Mindspark covers it
G5 Break problems with interconnected clues from tables, transfers and grouping conditions.Animal SudokuFutoshikiTransit Tally
  • Animal Sudoku: the child places animals so each row, column and block holds no repeat, breaking the grid into one safe move at a time.
  • Futoshiki: the child satisfies the grid rule and the greater-than / less-than rules together, deciding which clue to act on first.
  • Transit Tally: the child breaks a busy street scene into counts against a legend, turning observation into structured data.
G6 Interdependent clues and constraints; cross-reference data; conditional rules for grouping and elimination.FutoshikiBattleshipIce Cream InspectionBook Bazaar
  • Battleship: the child deduces where hidden ships sit using only the row and column totals around the grid.
  • Ice Cream Inspection: the child cross-checks a flavours-and-cities table to find which stall's claim the data does not support.
  • Book Bazaar: the child plots yearly sales as line and bar graphs to break a “which is selling best” question into readable parts.
G7 Separate interconnected conditions; interpret data with dependencies; translate to structured form.Knapsack PuzzleColour Balance 2Graph GardenOlympic Observers
  • Knapsack Puzzle: the child splits a joint weight-and-value target into the right mix of items.
  • Colour Balance: the child satisfies an adjacency rule and a coin budget at the same time, juggling two constraints.
  • Graph Garden / Olympic Observers: the child breaks a question into the chart readings and filters that answer it, separating what must be true from what merely could be.
G8 Separate conditions, constraints and goals; interpret networks and multi-variable cases.Score SorterNumber NinjaNumber Ninja 2
  • Score Sorter: the child turns a question into ordered sort-and-filter steps over a table, the thinking behind a SQL query.
  • Number Ninja: the child decomposes a messy dataset by instructing an AI to filter rows and drop columns, then verifies each step did what was intended.
CT

Abstract & Spatial Thinking

Mindspark strand: Logical Thinking via Puzzles
GradeCBSE competency at this gradeSample Mindspark modulesHow Mindspark covers it
G5 3-D viewpoints, flips, folds and rotations; mirror images and symmetry.Shape Rotator3D Cross SectionsSketch This
  • Shape Rotator: the child rotates and flips smaller pieces to fit them exactly inside a larger outline, picturing each move before making it.
  • 3D Cross Sections: the child predicts the flat 2-D shape revealed when a solid is sliced through at a given angle.
  • Sketch This: the child recreates a design using mirror and copy tools, reasoning about symmetry and position.
G6 Cross-sections, combined transformations, symmetry across axes, scale and proportion.BattleshipAnimation AdventuresPixel Art 1
  • Battleship: the child locates hidden shapes on a grid from edge clues, holding positions in mind across the whole board.
  • Animation Adventures: the child reorders still frames and adjusts their speed to see how sequence and timing create motion.
  • Pixel Art: the child maps a picture onto a grid of values, the first link between spatial layout and how an image is stored.
G7 3-D transformations, nets, hidden relationships, congruence and proportional reasoning.Pixel Art 1-2City PlannerPixel Art Create
  • Pixel Art: the child encodes a picture as a grid and uses mirror and run-length tricks to capture its structure compactly.
  • City Planner: the child rotates and flips road tiles to join two towns into one continuous path, under a coin budget.
  • Spatial reasoning is carried into coding and optimisation, not kept to pen-and-paper geometry.
G8 Generalise across number systems; visualise 2-D/3-D overlaps; ignore irrelevant data.Skyscrapers 1-2City PlannerTopology
  • Skyscrapers: the child sets building heights so the number of towers visible from each side matches every point-of-view clue.
  • City Planner / Topology: the child reasons about connections and arrangements, what links to what, not just shape.
  • Number-system puzzles add reasoning in binary and Roman numerals, stretching beyond the CBSE list.
AI

Artificial Intelligence

CBSE introduces AI at Class 6. The Grade 5 row in each table is therefore already ahead of the framework.

AI

What AI is and how it works

Mindspark strand: AI Foundations
GradeCBSE competency at this gradeSample Mindspark modulesHow Mindspark covers it
G5 Not introduced by CBSE at this gradeTraining Robo
  • CBSE introduces AI only at Class 6; Mindspark starts a year early.
  • Training Robo: the child sorts a stream of photos into “dog” and “not-dog”, watches the model learn from those labels, then sees it guess new photos: the first feel of training from examples.
G6 What AI is; machine vs human intelligence; automation vs AI; supervised, unsupervised, reinforcement learning.Tag TacticsReinforcement LearningTraining Robo
  • Tag Tactics: the child tags images with one and then several labels, and sees how messy or thin tagging makes the model worse: data quality made visible.
  • Reinforcement Learning: the child rewards and penalises an agent move by move and watches its strategy improve through trial and error.
  • Across both, children build the training data themselves rather than just hear the words supervised, unsupervised and reinforcement.
G7 Predictive techniques (regression, classification, clustering); the domains of Data Science, CV and NLP.Tech TrainerTag Tactics
  • Tech Trainer: the child trains a classifier on healthy versus unhealthy foods, then feeds it new items and sees where it is right and where it slips.
  • They compare how two methods sort the same items, reasoning about why a model decides as it does, not just naming classification.
G8 AI as datasets, learning and prediction; the AI project cycle.Neural Nets 1-2How LLMs Work
  • Neural Nets: the child switches individual neurons on and off and wires layers together, watching a signal pass through and a decision form.
  • How LLMs Work: starting from their phone's keyboard suggestions, the child sees next-word prediction is counting which words follow which, not magic.
  • The black box is opened, well beyond CBSE's conceptual treatment.
AI

Working with data

Mindspark strand: Data Analysis & Representation
GradeCBSE competency at this gradeSample Mindspark modulesHow Mindspark covers it
G5 Not introduced by CBSE at this gradeTransit Tally
  • CBSE introduces data within AI only from Class 6; Mindspark runs it as a named layer earlier.
  • Transit Tally: the child counts vehicles passing by, records them against a picture legend, and reads the totals back as a simple chart.
G6 Organise and represent data; recognise patterns to make decisions.Ice Cream InspectionBook BazaarScore Sorter
  • Ice Cream Inspection: the child cross-checks a flavours-and-cities table to catch which stall's claim does not match the data.
  • Book Bazaar: the child reads sales across a bar and line graph and decides which book is really doing best.
  • Score Sorter: the child sorts a table by a stated rule (the idea behind a SQL query) to answer a question.
G7 Collect structured data; build charts; interpret trends; basic prediction on a dataset.Graph GardenOlympic ObserversBook Bazaar
  • Graph Garden: the child plots flower sales across the week as a line graph, then reads trends off their own chart.
  • Olympic Observers: the child filters and sorts a real medals/happiness dataset to answer pointed questions.
  • They judge two people's competing claims about the same data and decide who is right and why.
G8 How AI uses data to learn and predict; find sources of bias in datasets.Number NinjaNumber Ninja 2Score Sorter
  • Number Ninja: the child types prompts to filter rows, drop columns and combine a happiness-index dataset, then explains what each step did.
  • This ties data handling straight to how an AI system actually works on data.
AI

AI ethics, bias and fairness

Mindspark strand: AI Foundations
GradeCBSE competency at this gradeSample Mindspark modulesHow Mindspark covers it
G5 Not introduced by CBSE at this gradeNot AlwaysHigh or Low StakesOut of Scope
  • Not in CBSE until Class 6; Mindspark seeds it at Class 5.
  • Not Always: shown a system that assumes every user is the same, the child spots the people that assumption gets wrong.
  • High or Low Stakes: the child sorts AI mistakes by what they cost, from a bad film pick to a wrong medical reading.
  • Out of Scope: the child flags the request a tool was never built to handle.
G6 Ethics and digital responsibility: digital footprints, privacy, responsible behaviour.Who's Left OutUsually Right, Still RiskySafe Plan B
  • Who's Left Out: given a system's default, the child names exactly who it overlooks.
  • Usually Right, Still Risky: the child sees why a tool that is right 9 times out of 10 can still be unsafe to trust blindly.
  • Safe Plan B: when the AI can't help, the child picks the safe next step instead.
G7 What bias in AI means; where AI gives unfair results; digital citizenship.Structural BiasCost of a SlipDon't Know vs Can't Do
  • Structural Bias: the child reads a run of outputs and infers the bias from the pattern, not a single example.
  • Cost of a Slip: the child weighs the same error differently depending on where it happens.
  • Don't Know vs Can't Do: the child separates “the AI never learned this” from “the AI can't do this kind of thing”.
G8 Sources of bias in datasets; fairness and inclusivity; AI ethics as guidelines.Bias BustersData, Not BeliefsHuman in the Loop
  • Bias Busters: the child asks an AI for images of a nurse or a parent, sees the stereotype it returns, and traces it to the data it learned from.
  • Data, Not Beliefs: the child explains the bias as a property of the training data, not opinions the model holds.
  • Human in the Loop: the child decides at which point a person must check the AI's output.
AI

Building and directing AI tools

Mindspark strand: Doing More with AI
GradeCBSE competency at this gradeSample Mindspark modulesHow Mindspark covers it
G5 Not introduced by CBSE at this gradePrompt2PictureAdd the DetailBest of Four
  • CBSE never teaches prompting; from Class 5 Mindspark treats the child as the one directing the AI.
  • Prompt2Picture: the child describes a picture to an image AI, sees what comes back, and refines the words until it matches the target.
  • Add the Detail: given a vague prompt and a wrong result, the child drags in the missing detail that fixes it.
  • Best of Four: the child picks which of four prompts will actually get the job done.
G6 Apply AI to everyday tasks; recognise human-centred design.Prompt2PosterOff-TargetRank Them
  • Prompt2Poster: the child briefs an AI through a back-and-forth to build a real school-project poster, steering tone, layout and content.
  • Off-Target: shown a prompt and its output, the child marks exactly where the result drifted from the ask.
  • Rank Them: the child orders four prompts from vaguest to clearest and sees clarity drive the result.
G7 Apply predictive techniques to a dataset using AI tools, hands-on.Flappy WingsSharpen ItBuild a Filter
  • Flappy Wings: across seven steps the child prompts an AI agent to add gravity, jumping, pipes, scoring and a leaderboard, building a playable game by instruction alone.
  • Sharpen It: the child tightens a loose prompt by adding a length limit and a target audience.
  • Build a Filter: the child chains filter, sort and pick steps to pull the right rows from a data table.
G8 Use no-code AI tools on real problems through the AI project cycle.What Was MissingWhy It WinsTrace Each Step
  • What Was Missing: handed a bad AI result, the child works out which omission in the prompt caused it.
  • Why It Wins: the child explains why one prompt beats another for a tricky, multi-part task.
  • Trace Each Step: the child follows a multi-step AI pipeline and predicts what each stage produces.
DL

Digital Literacy

DL

Internet safety, privacy and digital citizenship

Mindspark strand: Digital Literacy & Awareness
GradeCBSE competency at this gradeSample Mindspark modulesHow Mindspark covers it
G5 Internet safety as part of responsible technology use.CyberbullyingShareWise
  • Cyberbullying: the child reads three exchanges in a class group chat and judges what crossed a line, with an AI helper stepping in if they keep missing it.
  • ShareWise: for each social circle, the child decides what is safe to post and what to keep private.
  • Safety is built as judgment, not a list of rules.
G6 Secure passwords, safe online behaviour, privacy and digital footprints.Behind the FeedBehind the Feed 2
  • Behind the Feed: the child watches, likes, skips and shares clips, while a live dashboard shows the feed re-tuning to those choices in real time.
  • They see, first-hand, that the algorithm decides what they are shown next, and why.
G7 Data privacy, informed consent, and digital citizenship.URL DetectivePage Rank Algorithm
  • URL Detective: the child reads the parts of a web address to work out what a site knows about them as they click, add to cart or fill a form.
  • Page Rank: the child moves from keyword search to the idea behind PageRank, ranking pages by how others link to them.
G8 Privacy, misinformation and social impact; responsible use of AI and digital tools.Terminal Cleanup
  • Terminal Cleanup: the child uses real text commands to move through folders, create and rename files, and track down a hidden one, no buttons, just the command line.
  • Practical fluency in how a computer is actually organised, alongside how data travels between services.
Beyond CBSE

Two Mindspark strands the framework does not reach

CBSE's Computational Thinking and AI curriculum has no competency for these. They are part of how Mindspark prepares children to think in a high-technology world.

Beyond CBSE

Critical Reasoning

Fact DetectiveFallacy FindersSurvey Sleuth

Children distinguish fact from opinion and claims from evidence, identify the assumption behind an argument, find the flaw or logical fallacy, and judge whether an advertisement or survey proves what it claims. In Fact Detective they interrogate an advertising claim, separating what can be verified from what is opinion; in Fallacy Finders they spot, name and fix flawed reasoning. CBSE's framework has no competency for argument evaluation, so this strand sits wholly beyond it.

Beyond CBSE

Simulations and Modeling

Numbers Don't LieArea vs PerimeterApple Tree SimulatorThe Monty Hall TrapConway's Game of LifeSimpson's Paradox

Children build and run AI-assisted simulations to model systems and test counter-intuitive ideas. In Numbers Don't Lie they use AI as a study partner to model the birthday-paradox probability; in Area vs Perimeter they manipulate a shape and watch the two measures move independently; in Apple Tree Simulator they vary sunlight, water and air quality and watch yield respond; The Monty Hall Trap and Simpson's Paradox model results that defy intuition. Modeling as a thinking tool is absent from the CBSE framework.

Today Grades 5-8. Next, the younger years.

Mindspark AI & Digital Thinking maps in full across Grades 5-8 today, covering every CBSE Computational Thinking and AI competency for the band and beginning AI at Class 5, where CBSE begins it at Class 6. An introductory build for Grades 3-4 is planned next: the same logical foundations with a first, gentle exposure to AI ideas, with Grades 1-2 to follow in time.

Grades 5-8 · mapped todayGrades 3-4 · planned nextGrades 1-2 · to follow