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Educational Omics — an educational practice that operationalizes Multimodal Learning Analytics (MMLA)
EO is a concrete educational practice that enacts the MMLA paradigm in university general education. Six observable dimensions — Cognomics, Linguomics, Physioneuromics, Sociomics, Environomics and Ethicomics — emerged from sustained practice and feed back into the MMLA paradigm in turn. The Uedu platform is the first instantiation of EO, currently deployed across 38 institutions with 420,000+ learner-AI interactions accumulated to date.
From paradigm to practice to first instantiation: the three-tier scholarly positioning of EO
Multimodal Learning Analytics
The broader learning analytics ecosystem since the 2010s. Learning behavior should be observed through multimodal data—voice, physiology, eye-tracking, interaction, text.
Educational Omics
An educational practice that operationalizes MMLA in higher education general education contexts. Six omics dimensions emerged from sustained practice, designed for reproducibility.
Agents / Platform
ClassroomGPT · AIDA · Garmin BBI streaming · Environomics CWA + MoEnv integration · Learner profiling · Educational Omics Lab.
Important positioning: EO neither replaces nor supersedes MMLA. EO is an educational practice within the MMLA paradigm. Through sustained practice, EO makes a reverse contribution to that paradigm: it explicitly names two underdeveloped dimensions, Ethicomics and Environomics, and introduces the biological multi-omics integration metaphor as a methodology for cross-modal integration.
How EO is practised in university general education, from multimodal sensing through to personalised learning
Each dimension reveals a different facet of the learning process. Those marked ★ are EO's reverse contributions to the MMLA paradigm.
Tracks reasoning processes and cognitive development, including AI dialogue traces, problem-solving strategies and analysis by Bloom's Taxonomy level.
Analyses features of linguistic expression, including linguistic complexity, semantic structure, acoustic features and writing patterns.
Monitors physiological state and neural activity, including HRV, sleep quality, stress index and attention. Contribution to MMLA: where MMLA is largely confined to short EEG / GSR laboratory sessions, EO extends to long-window wearable data.
Analyses patterns of social interaction, including forum participation, collaborative learning behaviour and peer assessment.
Senses conditions in the learning environment, including light, temperature and humidity, noise, CO2, AQI and PM2.5. Contribution to MMLA: where MMLA typically treats the environment as a confound, EO promotes it to a first-class observational dimension.
Observes ethical behavioural signals in learners' activity: consent status and changes to it, completeness of AI-use disclosure, patterns of overriding AI suggestions, challenges to biased output, and citation and attribution practices. Contribution to MMLA: where MMLA usually treats ethics as an external IRB matter, EO internalises learners' ethical behaviour as a first-class observational dimension. Platform-level compliance at Uedu (including NTU-REC approval 202507EM058) is part of the evidence base, but it operates at a different unit of analysis from learner-level ethics signals.
View the IRB framework disclosureEvidence accumulated by EO as a sustained empirical practice
Institutions that have deployed the Uedu platform
(platform reach, not yet EO replication)
Learner-AI interaction traces as multimodal evidence
Practice-emergent stratification (not designed a priori)
Educational Omics Lab @ National Central University
Note on reproducibility: Uedu/NCU is the first explicit EO instantiation. The 38-institution deployment demonstrates platform reach; broader replication of the EO practice across institutions is anticipated as future work. EO is designed for reproducibility through open API, MCP servers, and Educational Omics Lab consulting.
Concrete reverse contributions from EO to the MMLA paradigm, arising from sustained practice
All of these contributions sit within the MMLA paradigm, not outside it. EO is an educational practice within MMLA, not a replacement for it or a claim to supersede it. The purpose of the reverse contribution is to make the MMLA paradigm more complete through practice.
The concrete subsystems through which EO runs on Uedu. EO can be instantiated on other platforms; Uedu is the first case.
EO is an open, designed-for-reproducibility educational practice. Researchers, institutions, and MMLA-aligned collaborators are invited to engage.
AI Literacy 6D Framework Research Ethics Access Data Lake