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Recommendations

Each recommendation explains what is suggested, why, which result caused it, and the expected benefit. You can act on it, postpone it, or dismiss it.

Recommendations are generated by transparent rules based on your results, not a hidden model. Your lecturer can view and adjust these rules.

High priorityAlternative Explanation
A different explanation of "Recursion"
Why
Four questions on recursion were answered incorrectly in a row during the last practice set.
Triggered by
Practice set: linear structures — 3 consecutive incorrect answers on recursion questions
Expected benefit
A second framing of base cases and the call stack often unblocks a persistent misunderstanding.
Reread with the alternative explanation See Recursion mastery
High priorityPrerequisite Lesson
Review "Recursion" before starting "Trees"
Why
"Trees and binary search trees" builds on recursion, which is currently at 34% mastery.
Triggered by
Mastery 34% on Recursion, below the 60% needed to start the Trees module comfortably
Expected benefit
Closing the recursion gap should make tree traversal noticeably easier to follow.
Open the recursion lesson See Recursion mastery
Medium priorityExtra Practice
Extra practice on "Linked structures"
Why
Mastery is 58%, just below the 70% threshold; short practice sets raise it fastest at this stage.
Triggered by
Module 1 quiz — 2 of 3 linked-list questions answered incorrectly
Expected benefit
Ten focused questions should be enough to reach the mastery threshold for this concept.
Start practice set See Linked structures mastery

Postponed

Revise "Algorithmic complexity"
Returns on 11/09/2026