PARTIAL
Attempts
4
Time
41 min
Tutor turns
9
Communication
44/100
Tutor conversation
2 turnsWant to walk through the two-pointer idea together?
16:08ok
16:18
AI assessment of the conversation
Stuck with the problem across multiple attempts, asked the tutor probing follow-up questions, waited for tutor cues before each step, worked at a deliberate pace.
Character rubric
Soft-skill signals inferred from the conversation pattern, attempts and pace.
- Grit78
- Curiosity81
- Initiative49
- Speed38
- Resilience72
- Communication50
Academic rubric · this submission
- Problem decomposition42
- Algorithmic thinking38
- Code quality50
- Debugging discipline34
- Communication with tutor44
Code submission
def max_window_sum(nums, k):
if k > len(nums): return 0
window = sum(nums[:k])
best = window
for i in range(k, len(nums)):
window += nums[i] - nums[i - k]
best = max(best, window)
return best