Skip to content

OMNIBUS ontology of learning/instructional theories

Product or Programme · All products and programmes
Evidence · 2 claims (1 for, 1 mixed) · 1 study (1 design), q1 · 0 of 1 report an effect size · 2 claims rest on one study

Description

OMNIBUS is an ontology-based framework developed by Mizoguchi and colleagues for representing instructional theories as alternative decompositions of learning goals into sequenced sub-goals for instructional-system and scenario design.

Components

  • OMNIBUS: an ontology of learning/instructional theories as ways of goal decomposition: OMNIBUS is an ontology of learning/instructional theories built with the Hozo editor, capturing theories "as a set of ways of decomposing a goal into a sequence of sub-goals". The article reports that "OMNIBUS has 99 ways of goal decomposition extracted from 11 theories/models", for example decomposing 'to help learners learn' differently under behaviorist versus constructivist approaches. It is described as the framework able to include any theory compliant with its specifications of theory and model. (Mizoguchi et al. (2015))

Claims

Key Sources

  • Mizoguchi, R., & Bourdeau, J. (2015). Using Ontological Engineering to Overcome AI-ED Problems: Contribution, Impact and Perspectives. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-015-0077-5
Page metadata
Field Value
type product
id omnibus-ontology-of-learninginstructional-theories
title OMNIBUS ontology of learning/instructional theories
description OMNIBUS is an ontology-based framework developed by Mizoguchi and colleagues for representing instructional theories as alternative decompositions of learning goals into sequenced sub-goals for instructional-system and scenario design.
status review
product_kind framework
generated by process:settle-candidates on 2026-10-27
trust unverified — no one has confirmed this page's content

Frontmatter is the page's machine-readable record — see the Schema & Guide.