On the public citation graph
Adaptive Learning by Using SCOs Metadata
0 signed · 14 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.
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known work and none has been retracted — and get a dated CiteStamped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.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.28945/399openalex-snapshot
Learning Objects and E-Learning: an Informing Science Perspective
inferredcites →https://doi.org/10.28945/408openalex-snapshot
Interoperability and Learning Objects: An Overview of E-Learning Standardization
inferredcites →https://doi.org/10.28945/619openalex-snapshot
Learning Objects: Adaptive Retrieval through Learning Styles
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.jss.2013.04.029openalex-snapshot
Modeling users on the World Wide Web based on cognitive factors, navigation behavior and clustering techniques
inferred← citeshttps://doi.org/10.1109/icalt.2010.88openalex-snapshot
Exploring the Development of Adaptable Learning Objects. A Practical Approach
inferred← citeshttps://doi.org/10.1109/icta.2013.6815290openalex-snapshot
Toward the reuse of E-Learning personalization systems
inferred← citeshttps://doi.org/10.1109/t4e.2012.26openalex-snapshot
Anurup: An Adaptive Instruction Approach
inferred← citeshttps://doi.org/10.1145/1878450.1878488openalex-snapshot
An approach to design the student interaction based on the recommendation of e-learning objects
inferred← citeshttps://doi.org/10.3390/informatics11020029openalex-snapshot
Fuzzy Classification Approach to Select Learning Objects Based on Learning Styles in Intelligent E-Learning Systems
inferred← citeshttps://doi.org/10.3991/ijet.v7i2.1911openalex-snapshot
Adaptive Content Presentation in Asynchronous Learning Environments
inferred← citeshttps://doi.org/10.4018/978-1-60960-539-1.ch005openalex-snapshot
Recent Contributions to a Generic Architecture Design that Supports Learning Objects Interoperability
inferred← citeshttps://doi.org/10.5120/4570-6535openalex-snapshot
Adaptivity and Adaptability of Learning Object�s Interface
inferred← citeshttps://doi.org/10.55777/rea.v8i15.1030openalex-snapshot
UTILIZAÇÃO DE ESTILOS DE APRENDIZAGEM NO DESENVOLVIMENTO DE AMBIENTES VIRTUAIS VOLTADOS À EDUCAÇÃO A DISTÂNCIA
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.