Automated diagnosis of misconceptions about electricity: what are the prospects?
Abstract: "Detecting that a student has made an error is typically easier than accounting for the error. Determining any underlying beliefs that contribute to the occurrence of an error is a difficult business both for the student and for the teacher. In automating this process, we face some fu...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Edinburgh
1991
|
| Schriftenreihe: | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper
545 |
| Schlagworte: | |
| Zusammenfassung: | Abstract: "Detecting that a student has made an error is typically easier than accounting for the error. Determining any underlying beliefs that contribute to the occurrence of an error is a difficult business both for the student and for the teacher. In automating this process, we face some further difficulties. We are in the process of building a system, CARoM, that is to be capable of diagnosing student's misconceptions within the domain of building simple electrical circuits. Eventually, we hope to exploit this information in a larger system. The motivation for this paper stems from a need to assess what has been achieved and the limits of what can reasonably be achieved within an essentially constructive approach We therefore focus on those issues in automated diagnosis that have a direct bearing on the context in which we are trying to provide improved diagnostic information. We review the methods that are relevant to diagnosing student misconceptions and briefly assess the prospects for further work. This requires reviewing research on the representation of misconceptions as well as that on diagnosis itself. |
| Beschreibung: | 31 S. |
Internformat
MARC
| LEADER | 00000nam a2200000 cb4500 | ||
|---|---|---|---|
| 001 | BV010454096 | ||
| 003 | DE-604 | ||
| 005 | 19991124 | ||
| 007 | t | ||
| 008 | 951030s1991 |||| 00||| engod | ||
| 035 | |a (OCoLC)25807899 | ||
| 035 | |a (DE-599)BVBBV010454096 | ||
| 040 | |a DE-604 |b ger |e rakddb | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-91G | ||
| 084 | |a ELT 359f |2 stub | ||
| 084 | |a DAT 703f |2 stub | ||
| 100 | 1 | |a Brna, Paul |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Automated diagnosis of misconceptions about electricity |b what are the prospects? |c Paul Brna and Jim Howe |
| 264 | 1 | |a Edinburgh |c 1991 | |
| 300 | |a 31 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 545 | |
| 520 | 3 | |a Abstract: "Detecting that a student has made an error is typically easier than accounting for the error. Determining any underlying beliefs that contribute to the occurrence of an error is a difficult business both for the student and for the teacher. In automating this process, we face some further difficulties. We are in the process of building a system, CARoM, that is to be capable of diagnosing student's misconceptions within the domain of building simple electrical circuits. Eventually, we hope to exploit this information in a larger system. The motivation for this paper stems from a need to assess what has been achieved and the limits of what can reasonably be achieved within an essentially constructive approach | |
| 520 | 3 | |a We therefore focus on those issues in automated diagnosis that have a direct bearing on the context in which we are trying to provide improved diagnostic information. We review the methods that are relevant to diagnosing student misconceptions and briefly assess the prospects for further work. This requires reviewing research on the representation of misconceptions as well as that on diagnosis itself. | |
| 650 | 7 | |a Education and training |2 sigle | |
| 650 | 7 | |a Electronics and electrical engineering, computer science |2 sigle | |
| 650 | 4 | |a Computer-assisted instruction | |
| 700 | 1 | |a Howe, Jim |e Verfasser |4 aut | |
| 810 | 2 | |a Department of Artificial Intelligence: DAI research paper |t University <Edinburgh> |v 545 |w (DE-604)BV010450646 |9 545 | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-006966785 | ||
Datensatz im Suchindex
| _version_ | 1804124888372346880 |
|---|---|
| any_adam_object | |
| author | Brna, Paul Howe, Jim |
| author_facet | Brna, Paul Howe, Jim |
| author_role | aut aut |
| author_sort | Brna, Paul |
| author_variant | p b pb j h jh |
| building | Verbundindex |
| bvnumber | BV010454096 |
| classification_tum | ELT 359f DAT 703f |
| ctrlnum | (OCoLC)25807899 (DE-599)BVBBV010454096 |
| discipline | Informatik Elektrotechnik |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02351nam a2200361 cb4500</leader><controlfield tag="001">BV010454096</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">19991124 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">951030s1991 |||| 00||| engod</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)25807899</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV010454096</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="084" ind1=" " ind2=" "><subfield code="a">ELT 359f</subfield><subfield code="2">stub</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 703f</subfield><subfield code="2">stub</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Brna, Paul</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Automated diagnosis of misconceptions about electricity</subfield><subfield code="b">what are the prospects?</subfield><subfield code="c">Paul Brna and Jim Howe</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Edinburgh</subfield><subfield code="c">1991</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">31 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">545</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">Abstract: "Detecting that a student has made an error is typically easier than accounting for the error. Determining any underlying beliefs that contribute to the occurrence of an error is a difficult business both for the student and for the teacher. In automating this process, we face some further difficulties. We are in the process of building a system, CARoM, that is to be capable of diagnosing student's misconceptions within the domain of building simple electrical circuits. Eventually, we hope to exploit this information in a larger system. The motivation for this paper stems from a need to assess what has been achieved and the limits of what can reasonably be achieved within an essentially constructive approach</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">We therefore focus on those issues in automated diagnosis that have a direct bearing on the context in which we are trying to provide improved diagnostic information. We review the methods that are relevant to diagnosing student misconceptions and briefly assess the prospects for further work. This requires reviewing research on the representation of misconceptions as well as that on diagnosis itself.</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="7"><subfield code="a">Electronics and electrical engineering, computer science</subfield><subfield code="2">sigle</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer-assisted instruction</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Howe, Jim</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">545</subfield><subfield code="w">(DE-604)BV010450646</subfield><subfield code="9">545</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-006966785</subfield></datafield></record></collection> |
| id | DE-604.BV010454096 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-09T17:52:49Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-006966785 |
| oclc_num | 25807899 |
| open_access_boolean | |
| owner | DE-91G DE-BY-TUM |
| owner_facet | DE-91G DE-BY-TUM |
| physical | 31 S. |
| publishDate | 1991 |
| publishDateSearch | 1991 |
| publishDateSort | 1991 |
| record_format | marc |
| series2 | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |
| spelling | Brna, Paul Verfasser aut Automated diagnosis of misconceptions about electricity what are the prospects? Paul Brna and Jim Howe Edinburgh 1991 31 S. txt rdacontent n rdamedia nc rdacarrier University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 545 Abstract: "Detecting that a student has made an error is typically easier than accounting for the error. Determining any underlying beliefs that contribute to the occurrence of an error is a difficult business both for the student and for the teacher. In automating this process, we face some further difficulties. We are in the process of building a system, CARoM, that is to be capable of diagnosing student's misconceptions within the domain of building simple electrical circuits. Eventually, we hope to exploit this information in a larger system. The motivation for this paper stems from a need to assess what has been achieved and the limits of what can reasonably be achieved within an essentially constructive approach We therefore focus on those issues in automated diagnosis that have a direct bearing on the context in which we are trying to provide improved diagnostic information. We review the methods that are relevant to diagnosing student misconceptions and briefly assess the prospects for further work. This requires reviewing research on the representation of misconceptions as well as that on diagnosis itself. Education and training sigle Electronics and electrical engineering, computer science sigle Computer-assisted instruction Howe, Jim Verfasser aut Department of Artificial Intelligence: DAI research paper University <Edinburgh> 545 (DE-604)BV010450646 545 |
| spellingShingle | Brna, Paul Howe, Jim Automated diagnosis of misconceptions about electricity what are the prospects? Education and training sigle Electronics and electrical engineering, computer science sigle Computer-assisted instruction |
| title | Automated diagnosis of misconceptions about electricity what are the prospects? |
| title_auth | Automated diagnosis of misconceptions about electricity what are the prospects? |
| title_exact_search | Automated diagnosis of misconceptions about electricity what are the prospects? |
| title_full | Automated diagnosis of misconceptions about electricity what are the prospects? Paul Brna and Jim Howe |
| title_fullStr | Automated diagnosis of misconceptions about electricity what are the prospects? Paul Brna and Jim Howe |
| title_full_unstemmed | Automated diagnosis of misconceptions about electricity what are the prospects? Paul Brna and Jim Howe |
| title_short | Automated diagnosis of misconceptions about electricity |
| title_sort | automated diagnosis of misconceptions about electricity what are the prospects |
| title_sub | what are the prospects? |
| topic | Education and training sigle Electronics and electrical engineering, computer science sigle Computer-assisted instruction |
| topic_facet | Education and training Electronics and electrical engineering, computer science Computer-assisted instruction |
| volume_link | (DE-604)BV010450646 |
| work_keys_str_mv | AT brnapaul automateddiagnosisofmisconceptionsaboutelectricitywhataretheprospects AT howejim automateddiagnosisofmisconceptionsaboutelectricitywhataretheprospects |