CITATION.cff

cff-version: 1.2.0
title: "Cognitive Learning Intelligence Platform (CLIP): Every Pen Stroke is a Learning Signal"
message: "If you use or reference this work, please cite it using the metadata below."
type: software
authors:
  - family-names: "Gaur"
    given-names: "Siddhartha"
date-released: "2026-06-26"
license: CC-BY-4.0
url: "https://github.com/SiddGaur/Cognitive-Learning-Intelligence-Platform"
doi: "10.5281/zenodo.20935638"
repository-code: "https://github.com/SiddGaur/Cognitive-Learning-Intelligence-Platform"
identifiers:
  - type: doi
    value: "10.5281/zenodo.20935638"
    description: "Zenodo archive"
  - type: url
    value: "https://osf.io/preprints/edarxiv/w45ut"
    description: "EdArXiv preprint"
abstract: >
  CLIP is a proposed AI-native learning platform built around Digital Ink Intelligence.
  Rather than replacing handwriting with typing, CLIP captures every pen stroke as
  structured digital data in real time, derives twelve multidimensional Learning Signals,
  generates comprehensive Learning Intelligence Profiles, builds a Learning Intelligence
  Graph representing each learner's knowledge state, and develops a continuously evolving
  Learning Twin for every learner. CLIP augments teachers through AI-assisted assessment
  while keeping human judgment authoritative, and is designed to serve as foundational
  educational infrastructure for schools, universities, and lifelong learning.
keywords:
  - education technology
  - digital ink
  - handwriting recognition
  - learning intelligence
  - AI in education
  - formative assessment
  - learning analytics
  - digital twin
  - personalised learning
  - cognitive learning
  - edtech
  - human-AI collaboration