Publication2024
Enhancing Educational Adaptability: A Review and Analysis of AI-Driven Adaptive Learning Platforms
The record
- Type
- Publication
- Date
- 1 January 2024
- Level
- International — held abroad
- Journal
- 4th International Conference on Innovative Practices in Technology and Management 2024 Iciptm 2024
- Published
- 1 January 2024
- DOI
- 10.1109/iciptm59628.2024.10563448
- Scopus ID
- 85197702658
- Authors
- 6
- Open access
- No
- Citations
- 107
- International co-authorship
- Yes
- Co-author countries
- GB, IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
4 Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all
AI-driven adaptive learning platforms enable personalized learning paths and improved student engagement, directly advancing quality education and inclusive learning.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing
Structural signal: co-authorship outside India.
- Rule-derived
- Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
- Produced by
- sdg17-structural-v1, under kortex-publication-v1
Viksit Bharat @2047
vb-1.1 Education and lifelong learning
AI-powered personalized learning platforms directly support education and lifelong learning capabilities for diverse student populations.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
Evidence
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Provenance
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Enhancing Educational Adaptability: A Review and Analysis of AI-Driven Adaptive Learning Platforms”. Kortex.
