GTE: An epistemological approach to instructional modelling View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1998-07

AUTHORS

Kris Van Marcke

ABSTRACT

The instructional competence of an Intelligent Tutoring System lies in its instructional model. Such a model has been approached in the ITS field from a theoretical and from a computational point of view. GTE approaches the instructional model from an epistemological point of view by making it reflect the instructional knowledge and expertise that underlies human teaching. The underlying assumption is that such knowledge and expertise has a generic nature, and that it can be modelled. The central component of the GTE architecture is therefore a large generic instructional knowledge base that is capable of dynamically generating a huge variety of instructional plans. It enables to flexibly adapt the teaching performance to the requirements of the individual teaching context. In this paper we describe the formalism that was developed for the representation of the instructional knowledge, the interpretation engine that can generate instructional processes based on the knowledge in the knowledge base, and the actual content of the knowledge base. It illustrates the feasibility of the assumption that was made, and the impact this may have on authoring instructional strategies. More... »

PAGES

147-191

References to SciGraph publications

  • 1992. COCA: A shell for intelligent tutoring systems in INTELLIGENT TUTORING SYSTEMS
  • 1992. Generic Tools for Courseware Authoring in LEARNING TECHNOLOGY IN THE EUROPEAN COMMUNITIES
  • 1992. Tools for teacher participation in ITS design in INTELLIGENT TUTORING SYSTEMS
  • 1992. A generic task model for instruction in INSTRUCTIONAL MODELS IN COMPUTER-BASED LEARNING ENVIRONMENTS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1023/a:1003090729860

    DOI

    http://dx.doi.org/10.1023/a:1003090729860

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1049291432


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Artificial Intelligence and Image Processing", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information and Computing Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "name": [
                "Bolesian NV, Hoogstraat 19, B 1930, Zaventem, Belgium"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Van Marcke", 
            "givenName": "Kris", 
            "id": "sg:person.016301750455.80", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016301750455.80"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/3-540-55606-0_62", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010075813", 
              "https://doi.org/10.1007/3-540-55606-0_62"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-55606-0_69", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012041739", 
              "https://doi.org/10.1007/3-540-55606-0_69"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1207/s15516709cog0202_4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017297686"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1207/s15516709cog0202_4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017297686"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-662-02840-7_11", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024364912", 
              "https://doi.org/10.1007/978-3-662-02840-7_11"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/7885.7886", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036192536"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-94-011-2672-4_50", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1089526867", 
              "https://doi.org/10.1007/978-94-011-2672-4_50"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-94-011-2672-4_50", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1089526867", 
              "https://doi.org/10.1007/978-94-011-2672-4_50"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "1998-07", 
        "datePublishedReg": "1998-07-01", 
        "description": "The instructional competence of an Intelligent Tutoring System lies in its instructional model. Such a model has been approached in the ITS field from a theoretical and from a computational point of view. GTE approaches the instructional model from an epistemological point of view by making it reflect the instructional knowledge and expertise that underlies human teaching. The underlying assumption is that such knowledge and expertise has a generic nature, and that it can be modelled. The central component of the GTE architecture is therefore a large generic instructional knowledge base that is capable of dynamically generating a huge variety of instructional plans. It enables to flexibly adapt the teaching performance to the requirements of the individual teaching context. In this paper we describe the formalism that was developed for the representation of the instructional knowledge, the interpretation engine that can generate instructional processes based on the knowledge in the knowledge base, and the actual content of the knowledge base. It illustrates the feasibility of the assumption that was made, and the impact this may have on authoring instructional strategies.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1023/a:1003090729860", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1127776", 
            "issn": [
              "0020-4277", 
              "1573-1952"
            ], 
            "name": "Instructional Science", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "3-4", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "26"
          }
        ], 
        "name": "GTE: An epistemological approach to instructional modelling", 
        "pagination": "147-191", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "ead0c2e3d84320a20f1a377c53371bafbd16f54e203d3a0b60250cbaa06f33ee"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1023/a:1003090729860"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1049291432"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1023/a:1003090729860", 
          "https://app.dimensions.ai/details/publication/pub.1049291432"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T00:21", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8695_00000537.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1023%2FA%3A1003090729860"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1023/a:1003090729860'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1023/a:1003090729860'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1023/a:1003090729860'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1023/a:1003090729860'


     

    This table displays all metadata directly associated to this object as RDF triples.

    82 TRIPLES      21 PREDICATES      33 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1023/a:1003090729860 schema:about anzsrc-for:08
    2 anzsrc-for:0801
    3 schema:author N443f091b92dc463d8a48a8e4779bd941
    4 schema:citation sg:pub.10.1007/3-540-55606-0_62
    5 sg:pub.10.1007/3-540-55606-0_69
    6 sg:pub.10.1007/978-3-662-02840-7_11
    7 sg:pub.10.1007/978-94-011-2672-4_50
    8 https://doi.org/10.1145/7885.7886
    9 https://doi.org/10.1207/s15516709cog0202_4
    10 schema:datePublished 1998-07
    11 schema:datePublishedReg 1998-07-01
    12 schema:description The instructional competence of an Intelligent Tutoring System lies in its instructional model. Such a model has been approached in the ITS field from a theoretical and from a computational point of view. GTE approaches the instructional model from an epistemological point of view by making it reflect the instructional knowledge and expertise that underlies human teaching. The underlying assumption is that such knowledge and expertise has a generic nature, and that it can be modelled. The central component of the GTE architecture is therefore a large generic instructional knowledge base that is capable of dynamically generating a huge variety of instructional plans. It enables to flexibly adapt the teaching performance to the requirements of the individual teaching context. In this paper we describe the formalism that was developed for the representation of the instructional knowledge, the interpretation engine that can generate instructional processes based on the knowledge in the knowledge base, and the actual content of the knowledge base. It illustrates the feasibility of the assumption that was made, and the impact this may have on authoring instructional strategies.
    13 schema:genre research_article
    14 schema:inLanguage en
    15 schema:isAccessibleForFree false
    16 schema:isPartOf Ndf06645e89d64bd1a292c2bedb279a00
    17 Nf2de37d8cb84447eb1381d9431558018
    18 sg:journal.1127776
    19 schema:name GTE: An epistemological approach to instructional modelling
    20 schema:pagination 147-191
    21 schema:productId N0dfd590887b044fab929d859e9c1a6e8
    22 N57f7061627bd41d591ebf8a579c821a2
    23 N6ea56184a1134f58ba97bcefe0b62ef8
    24 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049291432
    25 https://doi.org/10.1023/a:1003090729860
    26 schema:sdDatePublished 2019-04-11T00:21
    27 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    28 schema:sdPublisher Ndb4100d398824583a95d94bcdc2ba1d0
    29 schema:url http://link.springer.com/10.1023%2FA%3A1003090729860
    30 sgo:license sg:explorer/license/
    31 sgo:sdDataset articles
    32 rdf:type schema:ScholarlyArticle
    33 N0dfd590887b044fab929d859e9c1a6e8 schema:name dimensions_id
    34 schema:value pub.1049291432
    35 rdf:type schema:PropertyValue
    36 N443f091b92dc463d8a48a8e4779bd941 rdf:first sg:person.016301750455.80
    37 rdf:rest rdf:nil
    38 N57f7061627bd41d591ebf8a579c821a2 schema:name doi
    39 schema:value 10.1023/a:1003090729860
    40 rdf:type schema:PropertyValue
    41 N6ea56184a1134f58ba97bcefe0b62ef8 schema:name readcube_id
    42 schema:value ead0c2e3d84320a20f1a377c53371bafbd16f54e203d3a0b60250cbaa06f33ee
    43 rdf:type schema:PropertyValue
    44 N89c803745afb4e009db0164d7fd3b34d schema:name Bolesian NV, Hoogstraat 19, B 1930, Zaventem, Belgium
    45 rdf:type schema:Organization
    46 Ndb4100d398824583a95d94bcdc2ba1d0 schema:name Springer Nature - SN SciGraph project
    47 rdf:type schema:Organization
    48 Ndf06645e89d64bd1a292c2bedb279a00 schema:volumeNumber 26
    49 rdf:type schema:PublicationVolume
    50 Nf2de37d8cb84447eb1381d9431558018 schema:issueNumber 3-4
    51 rdf:type schema:PublicationIssue
    52 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    53 schema:name Information and Computing Sciences
    54 rdf:type schema:DefinedTerm
    55 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
    56 schema:name Artificial Intelligence and Image Processing
    57 rdf:type schema:DefinedTerm
    58 sg:journal.1127776 schema:issn 0020-4277
    59 1573-1952
    60 schema:name Instructional Science
    61 rdf:type schema:Periodical
    62 sg:person.016301750455.80 schema:affiliation N89c803745afb4e009db0164d7fd3b34d
    63 schema:familyName Van Marcke
    64 schema:givenName Kris
    65 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016301750455.80
    66 rdf:type schema:Person
    67 sg:pub.10.1007/3-540-55606-0_62 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010075813
    68 https://doi.org/10.1007/3-540-55606-0_62
    69 rdf:type schema:CreativeWork
    70 sg:pub.10.1007/3-540-55606-0_69 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012041739
    71 https://doi.org/10.1007/3-540-55606-0_69
    72 rdf:type schema:CreativeWork
    73 sg:pub.10.1007/978-3-662-02840-7_11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024364912
    74 https://doi.org/10.1007/978-3-662-02840-7_11
    75 rdf:type schema:CreativeWork
    76 sg:pub.10.1007/978-94-011-2672-4_50 schema:sameAs https://app.dimensions.ai/details/publication/pub.1089526867
    77 https://doi.org/10.1007/978-94-011-2672-4_50
    78 rdf:type schema:CreativeWork
    79 https://doi.org/10.1145/7885.7886 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036192536
    80 rdf:type schema:CreativeWork
    81 https://doi.org/10.1207/s15516709cog0202_4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017297686
    82 rdf:type schema:CreativeWork
     




    Preview window. Press ESC to close (or click here)


    ...