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: Modeling Theory in Science Education
  name:
    name part: Halloun, Ibrahim A.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: ne
    date issued: 2006
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 252 p. online resource.
  abstract: The book focuses as much on course content as on instruction and learning methodology, and presents practical aspects that have repeatedly demonstrated their value in fostering meaningful and equitable learning of physics and other science courses at the secondary school and college levels. The author shows how a scientific theory that is the object of a given science course can be organized around a limited set of basic models. Special tools are introduced, including modeling schemata, for students to meaningfully construct models and required conceptions, and for teachers to efficiently plan instruction and assess and regulate student learning and teaching practice. A scientific model is conceived to represent a particular pattern in the structure or behavior of physical realities and to explore and reify the pattern in specific ways. The author further shows how to engage students in modeling activities through structured learning cycles.
  table of contents: Fundamental Tenets of Modeling Theory -- Modeling Schemata -- Paradigmatic Evolution -- Modeling Program -- Learning Cycles.
  note: by Ibrahim A. Halloun.
  subject:
    topic: Education
  subject:
    topic: Science
  subject:
    topic: Artificial intelligence
  subject:
    topic: Mathematics
    topic: Study and teaching
  subject:
    topic: Science education
  subject:
    topic: Physics
  subject:
    topic: Education
  subject:
    topic: Science Education
  subject:
    topic: Education, general
  subject:
    topic: Science, general
  subject:
    topic: Physics, general
  subject:
    topic: Mathematics Education
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  classification: LC8-6691
  classification: 507.1
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Science & Technology Education Library, 24
  identifier: 9781402021404
  identifier: http://dx.doi.org/10.1007/1-4020-2140-2
  record info:
    record creation date: 100301
    record change date: 20151204160741.0
    record identifier: 978-1-4020-2140-4