rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Knowledge Spaces
    sub title: Applications in Education
  name:
    name part: Falmagne, Jean-Claude.
    role:
      role term: editor.
  name:
    name part: Albert, Dietrich.
    role:
      role term: editor.
  name:
    name part: Doble, Christopher.
    role:
      role term: editor.
  name:
    name part: Eppstein, David.
    role:
      role term: editor.
  name:
    name part: Hu, Xiangen.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 354 p. 65 illus., 15 illus. in color. online resource.
  abstract: The book describes up-to-date applications and relevant theoretical results. These applications come from various places, but the most important one, numerically speaking, is the internet based educational system ALEKS. The ALEKS system is bilingual English-Spanish and covers all of mathematics, from third grade to the end of high school, and chemistry. It is also widely used in higher education because US students are often poorly prepared when they reach the university level. The chapter by Taagepera and Arasasingham deals with the application of knowledge spaces, independent of ALEKS, to the teaching of college chemistry. The four chapters by Albert and his collaborators strive to give cognitive interpretations to the combinatoric structures obtained and used by the ALEKS system. The contribution by Eppstein is technical and develops means of searching the knowledge structure efficiently.
  table of contents: Overview:- Assessing Mathematical Knowledge in a Learning Space -- ALEKS Based Placement at the University of Illinois -- A Potential Technological Solution in Reducing Achievement Gap Between White and Black Students -- Is There a Relationship Between Interacting with a Mathematical Intelligent Tutoring System and Students Performance on Standardized High-Stake Tests? -- Using Knowledge Space Theory To Assess Student Understanding of Chemistry -- Mathematical Compendium -- Heuristics for Generating and Validating Surmise Relations across, between, and within Sets -- Recent Developments in Competence-based Knowledge Space Theory -- Recent Developments in Performance-based Knowledge Space Theory -- Skills, Competencies and Knowledge Structures -- Learning Sequences -- Index -- Reference.
  note: edited by Jean-Claude Falmagne, Dietrich Albert, Christopher Doble, David Eppstein, Xiangen Hu.
  subject:
    topic: Mathematics
  subject:
    topic: Artificial intelligence
  subject:
    topic: Neural networks (Computer science)
  subject:
    topic: Probabilities
  subject:
    topic: Combinatorics
  subject:
    topic: Educational technology
  subject:
    topic: Assessment
  subject:
    topic: Mathematics
  subject:
    topic: Mathematical Models of Cognitive Processes and Neural Networks
  subject:
    topic: Combinatorics
  subject:
    topic: Probability Theory and Stochastic Processes
  subject:
    topic: Educational Technology
  subject:
    topic: Assessment, Testing and Evaluation
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  classification: QA76.87
  classification: 519
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783642353291
  identifier: http://dx.doi.org/10.1007/978-3-642-35329-1
  record info:
    record creation date: 130620
    record change date: 20151204155654.0
    record identifier: 978-3-642-35329-1