PCEX expert-bundled Python dataset

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Evidence · 1 claim (1 for) · 1 study (1 design), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

A dataset produced from the PCEX programming-learning system containing 123 introductory Python programs organized into 49 expert-labeled bundles of worked examples and related code-completion challenges.

Components

Claims

• Pattern-based KC similarity retrieves bundle-aligned programming learning items better than code-embedding and other KC baselines in both retrieval directions [+M]

Related Products and Programmes

• Hour of Code

Key Sources

• Muntasir Hoq, Griffin Pitts, Zhangqi Duan, Arun Balajiee Lekshmi Narayanan, Mohammad Hassany, Andrew Lan, Peter Brusilovsky and Bita Akram. (2026). Automated Recommendation of Programming Learning Content Using Pattern-based Knowledge Components. CSEDM'26: 10th Educational Data Mining in Computer Science Education Workshop. https://educationaldatamining.org

Page metadata

Field	Value
type	product
id	pcex-expert-bundled-python-dataset
title	PCEX expert-bundled Python dataset
description	A dataset produced from the PCEX programming-learning system containing 123 introductory Python programs organized into 49 expert-labeled bundles of worked examples and related code-completion challenges.
status	review
product_kind	dataset
generated	by process:settle-candidates on 2026-10-11
trust	unverified — no one has confirmed this page's content

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