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Highly Configurable System design for cross-domain learning analytics

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

Description

The pipeline applies Highly Configurable System (HCS) principles, "enabling a single underlying codebase to be applied to different scenarios through flexible configuration". Each statistical option's parameters — alternative hypothesis, dataset, independent and dependent variables, and result storage location — are programmed as variables whose values are read from keys in the JSON analysis configuration payload, so the same analysis-module code serves different domains. Santana et al 2025 found this yields a pipeline that is extensible and flexible while maintaining structural coherence, defined as the absence of invalid system configurations.

Design Implications

Context

Requirements

  • Analysis configuration payloads must supply valid values for each configurable key (statistic name, dataset, variables, result file name).

Constraints

  • Structural coherence depends on configurations being valid; the balance between flexibility and structural coherence was established in prior work by Santana et al 2025.

Target Learners

  • researchers and instructors analyzing educational AI assistant data

Learning Goals

  • reproducible cross-domain analysis of learner interaction data

Claims

Examples

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Key Sources

  • Y. Bai, P. Thajchayapong, A. Goel. (2025). Generalizing a Highly Configurable Analytics Pipeline to Replicate and Support Educational Research Across Multiple Domains. https://arxiv.org/abs/2511.11877
Page metadata
Field Value
type design
id hcs-configurable-analytics-design
title Highly Configurable System design for cross-domain learning analytics
description The pipeline applies Highly Configurable System (HCS) principles, "enabling a single underlying codebase to be applied to different scenarios through flexible configuration".
status review
generated by process:settle-candidates on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — y-bai-2025

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