Skip to content
VuFind
  • Login
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
    • 日本語
    • Nederlands
    • Português
    • Português (Brasil)
    • 中文(简体)
    • 中文(繁體)
    • Türkçe
    • עברית
    • Gaeilge
    • Cymraeg
    • Ελληνικά
    • Català
    • Euskara
    • Русский
    • Čeština
    • Suomi
    • Svenska
    • polski
    • Dansk
    • slovenščina
    • اللغة العربية
    • বাংলা
    • Galego
    • Tiếng Việt
    • Hrvatski
    • हिंदी
    • Հայերէն
    • Українська
    • Sámegiella
    • Монгол
    • Māori
Advanced
  • Cite this
  • Text this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Save to List
  • Permanent link
Cover Image

Saved in:
Bibliographic Details
Main Author: Apophis
Format: Recurso digital
Language:English
Published: Zenodo 2026
Subjects:
token-based modeling
learning weight
cognitive modeling
structural analysis
quantification framework
human learning
AI-assisted learning
interpretability
explainable AI
learning analytics
human-AI interaction
decision-making models
conceptual framework
analytical framework
Online Access:https://doi.org/10.5281/zenodo.18237804
Tags: Add Tag
No Tags, Be the first to tag this record!
  • Holdings
  • Description
  • Table of Contents
  • Comments
  • Similar Items
  • Staff View

Internet

https://doi.org/10.5281/zenodo.18237804

Similar Items

  • Ethics and Governance Annex - Scope Clarification
    by: MONTGOMERY, CHRISTIAN
    Published: (2026)
  • Operationalizing Responsible AI In Financial Decision Pipelines: Governance, Security, Compliance, Fairness, And Explainability
    by: Srujana Parepalli
    Published: (2023)
  • Automated ESG Prediction through Artificial Intelligence: A Literature-Driven Empirical Synthesis and Framework for Future Research
    by: Aditya Prakash, et al.
    Published: (2025)
  • Theatrical Compliance: A Failure Mode in Large Language Models
    by: Nowickij (Navitski), Kirill Vladimirovich
    Published: (2026)
  • The Abstraction Operator Framework: Turning Complexity into Navigable, Reusable, and Transferable Knowledge
    by: Liu, Ran
    Published: (2026)

Search Options

  • Search History
  • Advanced Search

Find More

  • Browse the Catalog
  • Browse Alphabetically
  • Explore Channels
  • Course Reserves
  • New Items

Need Help?

  • Search Tips
  • Ask a Librarian
  • FAQs