Extending the scope of the student model:
Abstract: "In this paper we maintain that there are benefits to extending the scope of student models to include additional information as part of the explicit student model. We illustrate our argument by describing a student model which focuses on 1. performance in the domain; 2. acquisition o...
Gespeichert in:
Hauptverfasser: | , , |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Edinburgh
1995
|
Schriftenreihe: | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper
761 |
Schlagworte: | |
Zusammenfassung: | Abstract: "In this paper we maintain that there are benefits to extending the scope of student models to include additional information as part of the explicit student model. We illustrate our argument by describing a student model which focuses on 1. performance in the domain; 2. acquisition order of the target knowledge; 3. analogy; 4. learning strategies; 5. awareness and reflection. The first four of these issues are explicitly represented in the student model. Awareness and reflection should occur as the student model is transparent; it is used to promote learner reflection by encouraging the learner to view, and even negotiate changes to the model. Although the architecture is transferable across domains, each instantiation of the student model will necessarily be domain specific due to the importance of factors such as the relevant background knowledge for analogy, and typical progress through the target material. As an example of this approach we describe the student model of an intelligent computer assisted language learning system which was based on research findings on the above five topics in the field of second language acquisition. Throughout we address the issue of the generality of this model, with particular reference to the possibility of a similar architecture reflecting comparable issues in the domain of learning about electrical circuits." |
Beschreibung: | 17 S. |
Internformat
MARC
LEADER | 00000nam a2200000 cb4500 | ||
---|---|---|---|
001 | BV011045150 | ||
003 | DE-604 | ||
005 | 00000000000000.0 | ||
007 | t | ||
008 | 961108s1995 |||| 00||| engod | ||
035 | |a (OCoLC)35127519 | ||
035 | |a (DE-599)BVBBV011045150 | ||
040 | |a DE-604 |b ger |e rakddb | ||
041 | 0 | |a eng | |
049 | |a DE-91G | ||
100 | 1 | |a Bull, Susan |e Verfasser |4 aut | |
245 | 1 | 0 | |a Extending the scope of the student model |c Bull, S. ; Brna, P. ; Pain, H. |
264 | 1 | |a Edinburgh |c 1995 | |
300 | |a 17 S. | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 1 | |a University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |v 761 | |
520 | 3 | |a Abstract: "In this paper we maintain that there are benefits to extending the scope of student models to include additional information as part of the explicit student model. We illustrate our argument by describing a student model which focuses on 1. performance in the domain; 2. acquisition order of the target knowledge; 3. analogy; 4. learning strategies; 5. awareness and reflection. The first four of these issues are explicitly represented in the student model. Awareness and reflection should occur as the student model is transparent; it is used to promote learner reflection by encouraging the learner to view, and even negotiate changes to the model. Although the architecture is transferable across domains, each instantiation of the student model will necessarily be domain specific due to the importance of factors such as the relevant background knowledge for analogy, and typical progress through the target material. As an example of this approach we describe the student model of an intelligent computer assisted language learning system which was based on research findings on the above five topics in the field of second language acquisition. Throughout we address the issue of the generality of this model, with particular reference to the possibility of a similar architecture reflecting comparable issues in the domain of learning about electrical circuits." | |
650 | 7 | |a Bionics and artificial intelligence |2 sigle | |
650 | 7 | |a Education and training |2 sigle | |
650 | 4 | |a Datenverarbeitung | |
650 | 4 | |a Intelligent tutoring systems | |
650 | 4 | |a Language acquisition |x Computer-assisted instruction | |
650 | 4 | |a Second language acquisition |x Data processing | |
700 | 1 | |a Brna, Paul |e Verfasser |4 aut | |
700 | 1 | |a Pain, Helen |e Verfasser |4 aut | |
810 | 2 | |a Department of Artificial Intelligence: DAI research paper |t University <Edinburgh> |v 761 |w (DE-604)BV010450646 |9 761 | |
999 | |a oai:aleph.bib-bvb.de:BVB01-007396263 |
Datensatz im Suchindex
_version_ | 1804125534707253248 |
---|---|
any_adam_object | |
author | Bull, Susan Brna, Paul Pain, Helen |
author_facet | Bull, Susan Brna, Paul Pain, Helen |
author_role | aut aut aut |
author_sort | Bull, Susan |
author_variant | s b sb p b pb h p hp |
building | Verbundindex |
bvnumber | BV011045150 |
ctrlnum | (OCoLC)35127519 (DE-599)BVBBV011045150 |
format | Book |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02678nam a2200373 cb4500</leader><controlfield tag="001">BV011045150</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">961108s1995 |||| 00||| engod</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)35127519</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV011045150</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rakddb</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91G</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Bull, Susan</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Extending the scope of the student model</subfield><subfield code="c">Bull, S. ; Brna, P. ; Pain, H.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Edinburgh</subfield><subfield code="c">1995</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">17 S.</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">University <Edinburgh> / Department of Artificial Intelligence: DAI research paper</subfield><subfield code="v">761</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">Abstract: "In this paper we maintain that there are benefits to extending the scope of student models to include additional information as part of the explicit student model. We illustrate our argument by describing a student model which focuses on 1. performance in the domain; 2. acquisition order of the target knowledge; 3. analogy; 4. learning strategies; 5. awareness and reflection. The first four of these issues are explicitly represented in the student model. Awareness and reflection should occur as the student model is transparent; it is used to promote learner reflection by encouraging the learner to view, and even negotiate changes to the model. Although the architecture is transferable across domains, each instantiation of the student model will necessarily be domain specific due to the importance of factors such as the relevant background knowledge for analogy, and typical progress through the target material. As an example of this approach we describe the student model of an intelligent computer assisted language learning system which was based on research findings on the above five topics in the field of second language acquisition. Throughout we address the issue of the generality of this model, with particular reference to the possibility of a similar architecture reflecting comparable issues in the domain of learning about electrical circuits."</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Bionics and artificial intelligence</subfield><subfield code="2">sigle</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Education and training</subfield><subfield code="2">sigle</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Datenverarbeitung</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Intelligent tutoring systems</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Language acquisition</subfield><subfield code="x">Computer-assisted instruction</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Second language acquisition</subfield><subfield code="x">Data processing</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Brna, Paul</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pain, Helen</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="810" ind1="2" ind2=" "><subfield code="a">Department of Artificial Intelligence: DAI research paper</subfield><subfield code="t">University <Edinburgh></subfield><subfield code="v">761</subfield><subfield code="w">(DE-604)BV010450646</subfield><subfield code="9">761</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-007396263</subfield></datafield></record></collection> |
id | DE-604.BV011045150 |
illustrated | Not Illustrated |
indexdate | 2024-07-09T18:03:05Z |
institution | BVB |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-007396263 |
oclc_num | 35127519 |
open_access_boolean | |
owner | DE-91G DE-BY-TUM |
owner_facet | DE-91G DE-BY-TUM |
physical | 17 S. |
publishDate | 1995 |
publishDateSearch | 1995 |
publishDateSort | 1995 |
record_format | marc |
series2 | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |
spelling | Bull, Susan Verfasser aut Extending the scope of the student model Bull, S. ; Brna, P. ; Pain, H. Edinburgh 1995 17 S. txt rdacontent n rdamedia nc rdacarrier University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 761 Abstract: "In this paper we maintain that there are benefits to extending the scope of student models to include additional information as part of the explicit student model. We illustrate our argument by describing a student model which focuses on 1. performance in the domain; 2. acquisition order of the target knowledge; 3. analogy; 4. learning strategies; 5. awareness and reflection. The first four of these issues are explicitly represented in the student model. Awareness and reflection should occur as the student model is transparent; it is used to promote learner reflection by encouraging the learner to view, and even negotiate changes to the model. Although the architecture is transferable across domains, each instantiation of the student model will necessarily be domain specific due to the importance of factors such as the relevant background knowledge for analogy, and typical progress through the target material. As an example of this approach we describe the student model of an intelligent computer assisted language learning system which was based on research findings on the above five topics in the field of second language acquisition. Throughout we address the issue of the generality of this model, with particular reference to the possibility of a similar architecture reflecting comparable issues in the domain of learning about electrical circuits." Bionics and artificial intelligence sigle Education and training sigle Datenverarbeitung Intelligent tutoring systems Language acquisition Computer-assisted instruction Second language acquisition Data processing Brna, Paul Verfasser aut Pain, Helen Verfasser aut Department of Artificial Intelligence: DAI research paper University <Edinburgh> 761 (DE-604)BV010450646 761 |
spellingShingle | Bull, Susan Brna, Paul Pain, Helen Extending the scope of the student model Bionics and artificial intelligence sigle Education and training sigle Datenverarbeitung Intelligent tutoring systems Language acquisition Computer-assisted instruction Second language acquisition Data processing |
title | Extending the scope of the student model |
title_auth | Extending the scope of the student model |
title_exact_search | Extending the scope of the student model |
title_full | Extending the scope of the student model Bull, S. ; Brna, P. ; Pain, H. |
title_fullStr | Extending the scope of the student model Bull, S. ; Brna, P. ; Pain, H. |
title_full_unstemmed | Extending the scope of the student model Bull, S. ; Brna, P. ; Pain, H. |
title_short | Extending the scope of the student model |
title_sort | extending the scope of the student model |
topic | Bionics and artificial intelligence sigle Education and training sigle Datenverarbeitung Intelligent tutoring systems Language acquisition Computer-assisted instruction Second language acquisition Data processing |
topic_facet | Bionics and artificial intelligence Education and training Datenverarbeitung Intelligent tutoring systems Language acquisition Computer-assisted instruction Second language acquisition Data processing |
volume_link | (DE-604)BV010450646 |
work_keys_str_mv | AT bullsusan extendingthescopeofthestudentmodel AT brnapaul extendingthescopeofthestudentmodel AT painhelen extendingthescopeofthestudentmodel |