On the public citation graph

Beyond Shared Knowledge Structures: Learning Student-Specific Concept Dependencies for Personalized Knowledge Tracing

0 signed · 17 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/tea.3660110307openalex-snapshot
Methods for examining representations of A subject‐matter structure in a student's memory
inferredcites →https://doi.org/10.1007/bf01099821openalex-snapshot
Knowledge tracing: Modeling the acquisition of procedural knowledge
inferredcites →https://doi.org/10.1007/s10489-022-04025-xopenalex-snapshot
Multi-aspect heterogeneous information network for MOOC knowledge concept recommendation
inferredcites →https://doi.org/10.1007/s10639-022-11178-2openalex-snapshot
Graph path fusion and reinforcement reasoning for recommendation in MOOCs
inferredcites →https://doi.org/10.1016/j.future.2023.12.028openalex-snapshot
Efficient topic partitioning of Apache Kafka for high-reliability real-time data streaming applications
inferredcites →https://doi.org/10.1016/j.knosys.2024.112431openalex-snapshot
Personalized process–type learning path recommendation based on process mining and deep knowledge tracing
inferredcites →https://doi.org/10.1109/tpami.2022.3182052openalex-snapshot
HGNN + : General Hypergraph Neural Networks
inferredcites →https://doi.org/10.1145/3038912.3052580openalex-snapshot
Dynamic Key-Value Memory Networks for Knowledge Tracing
inferredcites →https://doi.org/10.1145/3350546.3352513openalex-snapshot
Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural Network
inferredcites →https://doi.org/10.1145/3394486.3403282openalex-snapshot
Context-Aware Attentive Knowledge Tracing
inferredcites →https://doi.org/10.1145/3569576openalex-snapshot
Knowledge Tracing: A Survey
inferredcites →https://doi.org/10.1145/3589334.3645582openalex-snapshot
Question Difficulty Consistent Knowledge Tracing
inferredcites →https://doi.org/10.1145/3637528.3671773openalex-snapshot
DyGKT: Dynamic Graph Learning for Knowledge Tracing
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.1207/s15516709cog0502_2openalex-snapshot
Categorization and Representation of Physics Problems by Experts and Novices*
inferredcites →https://doi.org/10.1207/s15516709cog1402_1openalex-snapshot
Finding Structure in Time
inferredcites →https://doi.org/10.1609/aaai.v37i12.26661openalex-snapshot
Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.