SEE
THINK
EXPLORE
MARVEL
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Facilitator Notes

This page contains exercise answers and teaching guidance for
Step 4 — Snake Body.
Not linked from the student pages.

Students: please go back and try the activities first.

← Back to student page

🧠 Concept Check — Answer Key (Step 4)

These 5 questions appear in the activity page after Tier 4 (post-calibration gate). Pass mark is 4 of 5 (80%). Students who fail may retry; the system records attempts and final score in Google Sheets.

Question (displayed to student)Correct Answer
Q1: food_x = random.randint(0, GRID_W-1) * CELL_SIZE — Why multiply by CELL_SIZE? ✓ To snap food positions to the grid
Q2: What event triggers spawning a new food position? ✓ The snake head position equalling the food position
Q3: Self-collision means: ✓ The snake's head touches one of its own body segments
Q4: pygame.draw.rect(win, GREEN, [x, y, w, h]) draws: ✓ A filled rectangle
Q5: Which stores a food position correctly as grid coordinates? ✓ food = (rand_col, rand_row)
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Recorded in Google Sheet (Act_4 tab): concept_q1–concept_q5 (student’s 0-based answer index), concept_score_pct, concept_passed (1 = pass, 0 = fail), concept_attempts (retry count).

📊 Google Sheets — Data Collected (Act_4)

Every submission to this step writes one row to the Act_4 tab in the research spreadsheet. All 13 tabs (Student_Reg, Pre_Test, Post_Test, Act_1–Act_10) share the same student identity columns.

ColumnDescription
STUDENT IDENTITY (10 fields)
matricMatric / student ID
nameFull name
genderGender (Female / Male / Other)
ageAge in years
mykidMyKid / IC number
home_stateHome state in Malaysia
classClass or cohort code
school_codeSchool or programme code
phonePhone number
emailEmail address
SUBMISSION
stepStep number (4)
submitted_isoKL timestamp (UTC+8, ISO 8601)
PRE-CALIBRATION
cal_confidenceSelf-confidence before activity (1–5 scale)
cal_predictedPredicted score before activity (%)
cal_reflectionFree-text: what will be hard?
ACTIVITY TIERS
t1_score_pctTier 1 Fill-in-Blanks score (%)
t2_attemptsTier 2 Debug — number of attempts
refl2_textTier 2 reflection free text
t3_attemptsTier 3 Complete-Code attempts
t4_attemptsTier 4 New Task attempts
CONCEPT CHECK
concept_q1–concept_q5Student answer index (0-based) per question
concept_score_pctPercentage correct (0–100)
concept_passed1 = passed (≥80%), 0 = failed
concept_attemptsTotal retries
REFLECTIVE JOURNAL
jr1–jr5Journal prompts 1–5 free-text responses
POST-CALIBRATION
post_confidenceConfidence rating after activity (1–5)
post_actualSelf-reported actual score (%)
post_r1Reflection: how accurate was the prediction?
post_r2Reflection: what would you do differently?
calibration_indexpost_actual − cal_predicted (negative = overconfident)