Agent-based simulations indicate GenAI access reduces overall problem-solving competence development and increases the share of students stuck in lower competence tiers.
The Annals of Applied Statistics , volume =
2 Pith papers cite this work. Polarity classification is still indexing.
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A literature survey that proposes a multidimensional taxonomy for community detection, introduces a general mathematical formalization accommodating disjoint/overlapping/fuzzy structures, reviews modularity functions and both algorithmic and mathematical programming methods, and discusses benchmark
citing papers explorer
-
Students using GenAI lag behind in problem-solving competence: an agent-based study of classroom networks
Agent-based simulations indicate GenAI access reduces overall problem-solving competence development and increases the share of students stuck in lower competence tiers.
-
A Survey of Community Detection from an Operations Research Perspective: Taxonomy, Mathematical Formulations, Modularity Functions, and Benchmark Datasets
A literature survey that proposes a multidimensional taxonomy for community detection, introduces a general mathematical formalization accommodating disjoint/overlapping/fuzzy structures, reviews modularity functions and both algorithmic and mathematical programming methods, and discusses benchmark