Automated short free-text scoring method and system

Automated short free-text scoring method and system

The present invention uses an algorithm which evaluates learners' short free-text answers when the answer has as few as 10 words. The answer key uses only one correct answer, allowing instructors to ask learners to produce short open-ended text responses to questions. The algorithm automates th...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: BUKAI OHAD LISRAL, HAYNES JACQUELINE A, POKORNY ROBERT
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator BUKAI OHAD LISRAL
HAYNES JACQUELINE A
POKORNY ROBERT
description The present invention uses an algorithm which evaluates learners' short free-text answers when the answer has as few as 10 words. The answer key uses only one correct answer, allowing instructors to ask learners to produce short open-ended text responses to questions. The algorithm automates the scoring of free-text answers, enabling instructors to embed such questions in online courses, and providing nearly immediate scoring and feedback on learners' responses. The algorithm is based on the semantic relatedness of the words in the learners' answer to the single correct answer. The semantic relatedness algorithm requires a dedicated domain specific index or collection of topic-focused documents (a corpus), which is created by an automated crawl mechanism that collects documents based upon descriptive domain keywords.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2008126319A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2008126319A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2008126319A13</originalsourceid><addsrcrecordid>eNrjZDB2LC3Jz00sSU1RKM7ILypRSCtKTdUtSa0oUShOzi_KzEtXyE0tychPUUjMAyqpLC5JzeVhYE1LzClO5YXS3AzKbq4hzh66qQX58anFBYnJqXmpJfGhwUYGBhaGRmbGhpaOhsbEqQIAwwgthA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Automated short free-text scoring method and system</title><source>esp@cenet</source><creator>BUKAI OHAD LISRAL ; HAYNES JACQUELINE A ; POKORNY ROBERT</creator><creatorcontrib>BUKAI OHAD LISRAL ; HAYNES JACQUELINE A ; POKORNY ROBERT</creatorcontrib><description>The present invention uses an algorithm which evaluates learners' short free-text answers when the answer has as few as 10 words. The answer key uses only one correct answer, allowing instructors to ask learners to produce short open-ended text responses to questions. The algorithm automates the scoring of free-text answers, enabling instructors to embed such questions in online courses, and providing nearly immediate scoring and feedback on learners' responses. The algorithm is based on the semantic relatedness of the words in the learners' answer to the single correct answer. The semantic relatedness algorithm requires a dedicated domain specific index or collection of topic-focused documents (a corpus), which is created by an automated crawl mechanism that collects documents based upon descriptive domain keywords.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2008</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20080529&amp;DB=EPODOC&amp;CC=US&amp;NR=2008126319A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20080529&amp;DB=EPODOC&amp;CC=US&amp;NR=2008126319A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>BUKAI OHAD LISRAL</creatorcontrib><creatorcontrib>HAYNES JACQUELINE A</creatorcontrib><creatorcontrib>POKORNY ROBERT</creatorcontrib><title>Automated short free-text scoring method and system</title><description>The present invention uses an algorithm which evaluates learners' short free-text answers when the answer has as few as 10 words. The answer key uses only one correct answer, allowing instructors to ask learners to produce short open-ended text responses to questions. The algorithm automates the scoring of free-text answers, enabling instructors to embed such questions in online courses, and providing nearly immediate scoring and feedback on learners' responses. The algorithm is based on the semantic relatedness of the words in the learners' answer to the single correct answer. The semantic relatedness algorithm requires a dedicated domain specific index or collection of topic-focused documents (a corpus), which is created by an automated crawl mechanism that collects documents based upon descriptive domain keywords.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2008</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDB2LC3Jz00sSU1RKM7ILypRSCtKTdUtSa0oUShOzi_KzEtXyE0tychPUUjMAyqpLC5JzeVhYE1LzClO5YXS3AzKbq4hzh66qQX58anFBYnJqXmpJfGhwUYGBhaGRmbGhpaOhsbEqQIAwwgthA</recordid><startdate>20080529</startdate><enddate>20080529</enddate><creator>BUKAI OHAD LISRAL</creator><creator>HAYNES JACQUELINE A</creator><creator>POKORNY ROBERT</creator><scope>EVB</scope></search><sort><creationdate>20080529</creationdate><title>Automated short free-text scoring method and system</title><author>BUKAI OHAD LISRAL ; HAYNES JACQUELINE A ; POKORNY ROBERT</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2008126319A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2008</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>BUKAI OHAD LISRAL</creatorcontrib><creatorcontrib>HAYNES JACQUELINE A</creatorcontrib><creatorcontrib>POKORNY ROBERT</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>BUKAI OHAD LISRAL</au><au>HAYNES JACQUELINE A</au><au>POKORNY ROBERT</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Automated short free-text scoring method and system</title><date>2008-05-29</date><risdate>2008</risdate><abstract>The present invention uses an algorithm which evaluates learners' short free-text answers when the answer has as few as 10 words. The answer key uses only one correct answer, allowing instructors to ask learners to produce short open-ended text responses to questions. The algorithm automates the scoring of free-text answers, enabling instructors to embed such questions in online courses, and providing nearly immediate scoring and feedback on learners' responses. The algorithm is based on the semantic relatedness of the words in the learners' answer to the single correct answer. The semantic relatedness algorithm requires a dedicated domain specific index or collection of topic-focused documents (a corpus), which is created by an automated crawl mechanism that collects documents based upon descriptive domain keywords.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng
recordid cdi_epo_espacenet_US2008126319A1
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title Automated short free-text scoring method and system
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-19T15%3A18%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=BUKAI%20OHAD%20LISRAL&rft.date=2008-05-29&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS2008126319A1%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true