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MOOC Replication Framework

Product or Programme · All products and programmes
Evidence · no claims cited

Description

MORF, described by Gardner (2018), is a framework that supports controlled, privacy-preserving replication of predictive analyses across MOOC studies, courses, and datasets.

Components

  • MOOC Replication Framework (MORF): MORF, described as a close contemporary of SEERNet, "aims to facilitate more effective use of the data generated by online platforms for replication across studies, courses, and data sets" (Gardner, 2018). It provides a large, diverse data set collected from multiple MOOC offerings and a technical solution for running predictive models in a controlled environment, with parallels to SEERNet in offering evaluation as a service while protecting student privacy. (Looking Back to Move Forward)

Claims

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Key Sources

  • Schellinger, A., & Roschelle, J. (2024, January). Looking Back to Move Forward. Digital Promise. https://doi.org/10.51388/20.500.12265/203
Page metadata
Field Value
type product
id mooc-replication-framework
title MOOC Replication Framework
description MORF, described by Gardner (2018), is a framework that supports controlled, privacy-preserving replication of predictive analyses across MOOC studies, courses, and datasets.
status review
moved_from element/morf-replication-framework
product_kind framework
generated by process:sweep-kinds on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — schellinger-a-roschelle-j

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