On the public citation graph

Concept Maps In Computer-Assisted Knowledge Assessment

https://doi.org/10.5281/zenodo.1243560
0 signed · 44 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/(sici)1098-2736(199608)33:6<569::aid-tea1>3.0.co;2-mopenalex-extracted
Problems and issues in the use of concept maps in science assessment
inferredcites →https://doi.org/10.1002/j.2333-8504.1995.tb01676.xopenalex-extracted
THE ROLE OF PROBABILITY‐BASED INFERENCE IN AN INTELLIGENT TUTORING SYSTEM
inferredcites →https://doi.org/10.1002/tea.20074openalex-extracted
A theoretical note on concepts and the need for Cyclic Concept Maps
inferredcites →https://doi.org/10.1007/s10734-004-9448-9openalex-extracted
Windows into the mind
inferredcites →https://doi.org/10.1007/s11423-006-6497-zopenalex-extracted
A Technique for Automatically Scoring Open-Ended Concept Maps
inferredcites →https://doi.org/10.1016/j.eswa.2009.07.044openalex-extracted
A rule-based system for automatically evaluating student concept maps
inferredcites →https://doi.org/10.1016/j.eswa.2009.12.060openalex-extracted
Using data mining techniques to automatically construct concept maps for adaptive learning systems
inferredcites →https://doi.org/10.1016/j.eswa.2012.04.065openalex-extracted
The automatic creation of concept maps from documents written using morphologically rich languages
inferredcites →https://doi.org/10.1016/j.learninstruc.2006.07.003openalex-extracted
Fostering achievement and motivation with bug-related tutoring feedback in a computer-based training for written subtraction
inferredcites →https://doi.org/10.1016/s0747-5632(99)00026-6openalex-extracted
Reliability and validity of a computer-based knowledge mapping system to measure content understanding
inferredcites →https://doi.org/10.1037/0022-0663.83.1.88openalex-extracted
Assessing structural knowledge.
inferredcites →https://doi.org/10.1037/h0043524openalex-extracted
Retroactive inhibition and facilitation in the learning of school materials.
inferredcites →https://doi.org/10.1080/00220970209602054openalex-extracted
The Effect of Concept Mapping to Enhance Text Comprehension and Summarization
inferredcites →https://doi.org/10.1080/09500690802275820openalex-extracted
Analysing Concept Maps as an Assessment Tool in Teaching Physics and Comparison with the Achievement Tests
inferredcites →https://doi.org/10.1080/0950069910130308openalex-extracted
Relationship between students’ conceptual knowledge and study strategies‐part 1: student learning in physics
inferredcites →https://doi.org/10.1108/978-1-60752-874-620251006openalex-extracted
Learning and Teaching With Understanding
inferredcites →https://doi.org/10.1109/3477.956047openalex-extracted
Attributed concept maps: fuzzy integration and fuzzy matching
inferredcites →https://doi.org/10.1109/fie.2004.1408584openalex-extracted
Using concept maps to assess design process knowledge
inferredcites →https://doi.org/10.1109/icalt.2008.125openalex-extracted
Automatic Concept Map Scoring Framework Using the Semantic Web Technologies
inferredcites →https://doi.org/10.1109/icalt.2009.215openalex-extracted
Concept Extraction from Student Essays, Towards Concept Map Mining
inferredcites →https://doi.org/10.1109/tlt.2008.12openalex-extracted
Building Domain Ontologies from Text for Educational Purposes
inferredcites →https://doi.org/10.1109/wiiat.2008.387openalex-extracted
Concept Map Mining: A Definition and a Framework for Its Evaluation
inferredcites →https://doi.org/10.1111/j.1467-8535.2007.00745.xopenalex-extracted
Students' response to traditional and computer‐assisted formative feedback: A comparative case study
inferredcites →https://doi.org/10.1111/j.1467-8535.2008.00928.xopenalex-extracted
e‐Assessment for learning? The potential of short‐answer free‐text questions with tailored feedback
inferredcites →https://doi.org/10.1111/j.1467-8535.2010.01167.xopenalex-extracted
An innovative concept map approach for improving students' learning performance with an instant feedback mechanism
inferredcites →https://doi.org/10.1145/1065385.1065443openalex-extracted
Using concept maps in digital libraries as a cross-language resource discovery tool
inferredcites →https://doi.org/10.1145/1352135.1352251openalex-extracted
Student understanding of object-oriented programming as expressed in concept maps
inferredcites →https://doi.org/10.1145/1982185.1982537openalex-extracted
Ontologizing concept maps using graph theory
inferredcites →https://doi.org/10.1177/00131640121971112openalex-extracted
Select-and-Fill-in Concept Map Scores as a Measure of Students’ Connected Understanding of Science
inferredcites →https://doi.org/10.1207/s15326985ep3102_2openalex-extracted
Types and qualities of knowledge
inferredcites →https://doi.org/10.1207/s15327051hci1804_3openalex-extracted
Improving Navigation and Learning in Hypertext Environments With Navigable Concept Maps
inferredcites →https://doi.org/10.1207/s15430421tip4104_2openalex-extracted
A Revision of Bloom's Taxonomy: An Overview
inferredcites →https://doi.org/10.2307/4446530openalex-extracted
Concept Maps: A Tool for Use in Biology Teaching
inferredcites →https://doi.org/10.3102/00028312015003433openalex-extracted
Schemata as Scaffolding for the Representation of Information in Connected Discourse
inferredcites →https://doi.org/10.3102/00346543063002201openalex-extracted
Techniques and Procedures for Assessing Cognitive Skills
inferredcites →https://doi.org/10.34917/2043757openalex-extracted
The Multiple-choice concept map (MCCM): An interactive computer-based assessment method
inferredcites →https://doi.org/10.3844/jcssp.2009.338.346openalex-extracted
Fuzzy Swarm Based Text Summarization
inferredcites →https://doi.org/10.4135/9781412983730.n1openalex-extracted
An Introduction to Concept Mapping
inferredcites →https://doi.org/10.4324/9780203063538-6openalex-extracted
Conceptual and Procedural Knowledge in Mathematics: An Introductory Analysis
inferredcites →https://doi.org/10.5212/praxeduc.v.5i1.009029openalex-extracted
A teoria subjacente aos mapas conceituais e como elabora-los e usa-los
inferredcites →https://doi.org/10.5555/313722.313729openalex-extracted
Using mapping for cognitive assessment in project-based science
inferredcites →https://doi.org/10.5860/choice.36-1103openalex-extracted
Learning, creating, and using knowledge: concept maps as facilitative tools in schools and corporations
inferredcites →https://doi.org/10.5951/jresematheduc.29.4.0414openalex-extracted
Using Concept Maps to Assess Conceptual Knowledge of Function

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-319-60018-5_2openalex-snapshot
Sero!: A Learning Assessment Platform for Adult Learning Environments
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.