Publication2018
Predictive evaluation of student’s performance using decision tree approach
The record
- Type
- Publication
- Date
- 1 January 2018
- Level
- National
- Journal
- Journal of Advanced Research in Dynamical and Control Systems
- Volume
- 10
- Issue
- 14
- Pages
- 511-516
- Published
- 1 January 2018
- Scopus ID
- 85063778346
- ISSN
- 1943023X
- Authors
- 2
- Open access
- No
- Citations
- 5
- International co-authorship
- No
- Co-author countries
- 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
4.1 Ensure all girls and boys complete free, equitable and quality primary and secondary education
Educational data mining using decision tree algorithms identifies at-risk students early, enabling targeted academic support for improved learning outcomes and retention.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- 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
Viksit Bharat @2047
vb-1.1 Education and lifelong learning
Technology supporting equitable access to personalized education and student success.
- 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.
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- 1
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Citing this record
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KIIT Deemed to be University. “Predictive evaluation of student’s performance using decision tree approach”. Kortex.