Home ›
Entities
› academia
› Enhancing students performance through dynamic personalized learning path using ant colony and item response theory (ACOIRT)
Enhancing students performance through dynamic personalized learning path using ant colony and item response theory (ACOIRT)
Research article (Computers and Education Artificial Intelligence, 2024) · cited 11× · AI/ML
Enhancing students performance through dynamic personalized learning path using ant colony and item response theory (ACOIRT)
Summary
Enhancing students performance through dynamic personalized learning path using ant colony and item response theory (ACOIRT) is a scholarly article[1].
Key Facts
Enhancing students performance through dynamic personalized learning path using ant colony and item response theory (ACOIRT)'s instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Enhancing students performance through dynamic personalized learning path using ant colony and item response theory (ACOIRT). Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-students-performance-through-dynamic-personalized-learning-path-using-ant-colony-and-item-response-theory-acoi
MLA“Enhancing students performance through dynamic personalized learning path using ant colony and item response theory (ACOIRT).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-students-performance-through-dynamic-personalized-learning-path-using-ant-colony-and-item-response-theory-acoi.
BibTeX@misc{4ortxyz_enhancing-students-performance-through-dynamic-personalized-learning-path-using-ant-colony-and-item-response-theory-acoi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing students performance through dynamic personalized learning path using ant colony and item response theory (ACOIRT)}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-students-performance-through-dynamic-personalized-learning-path-using-ant-colony-and-item-response-theory-acoi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enhancing students performance through dynamic personalized learning path using ant colony and item response theory (ACOIRT) — https://4ort.xyz/entity/enhancing-students-performance-through-dynamic-personalized-learning-path-using-ant-colony-and-item-response-theory-acoi (retrieved 2026-05-24)
