{"id":"https://openalex.org/W2611959673","doi":"https://doi.org/10.1145/3025453.3025841","title":"A Unified Framework for Knowledge Assessment and Progression Analysis and Design","display_name":"A Unified Framework for Knowledge Assessment and Progression Analysis and Design","publication_year":2017,"publication_date":"2017-05-02","ids":{"openalex":"https://openalex.org/W2611959673","doi":"https://doi.org/10.1145/3025453.3025841","mag":"2611959673"},"language":"en","primary_location":{"id":"doi:10.1145/3025453.3025841","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3025453.3025841","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120218380","display_name":"Shuhan Wang","orcid":"https://orcid.org/0000-0002-6562-3351"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shuhan Wang","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101799434","display_name":"Fang He","orcid":"https://orcid.org/0009-0005-0955-8494"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang He","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071175163","display_name":"Erik Andersen","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erik Andersen","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5120218380"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":1.8708,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.89016783,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"937","last_page":"948"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10731","display_name":"Educational Games and Gamification","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10533","display_name":"Teaching and Learning Programming","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7979369163513184},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.7852131128311157},{"id":"https://openalex.org/keywords/curriculum","display_name":"Curriculum","score":0.5393692255020142},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5018222332000732},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4683721959590912},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.41227987408638},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36918070912361145},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3221553862094879},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24626559019088745},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09117421507835388}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7979369163513184},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7852131128311157},{"id":"https://openalex.org/C47177190","wikidata":"https://www.wikidata.org/wiki/Q207137","display_name":"Curriculum","level":2,"score":0.5393692255020142},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5018222332000732},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4683721959590912},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.41227987408638},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36918070912361145},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3221553862094879},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24626559019088745},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09117421507835388},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3025453.3025841","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3025453.3025841","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W126170577","https://openalex.org/W196354989","https://openalex.org/W615644768","https://openalex.org/W1490935989","https://openalex.org/W1493910332","https://openalex.org/W1517725046","https://openalex.org/W1523223036","https://openalex.org/W1528790235","https://openalex.org/W1535520578","https://openalex.org/W1548817078","https://openalex.org/W1549049459","https://openalex.org/W1572595918","https://openalex.org/W1593700574","https://openalex.org/W1976948167","https://openalex.org/W1986021671","https://openalex.org/W1996215128","https://openalex.org/W1998585125","https://openalex.org/W2015040676","https://openalex.org/W2019107851","https://openalex.org/W2020787089","https://openalex.org/W2038650143","https://openalex.org/W2041257713","https://openalex.org/W2045948237","https://openalex.org/W2049080106","https://openalex.org/W2057593084","https://openalex.org/W2069897595","https://openalex.org/W2079948668","https://openalex.org/W2085372278","https://openalex.org/W2085629252","https://openalex.org/W2093869191","https://openalex.org/W2096981866","https://openalex.org/W2097424976","https://openalex.org/W2110311336","https://openalex.org/W2111934549","https://openalex.org/W2112293377","https://openalex.org/W2112564774","https://openalex.org/W2114655791","https://openalex.org/W2121757126","https://openalex.org/W2122517769","https://openalex.org/W2124031246","https://openalex.org/W2124215204","https://openalex.org/W2127374659","https://openalex.org/W2135943618","https://openalex.org/W2140205964","https://openalex.org/W2143176882","https://openalex.org/W2146856593","https://openalex.org/W2149481917","https://openalex.org/W2163640453","https://openalex.org/W2167724517","https://openalex.org/W2294871102","https://openalex.org/W2395656903","https://openalex.org/W2396412769","https://openalex.org/W2397494234","https://openalex.org/W2508502927","https://openalex.org/W2515475554","https://openalex.org/W2521197252","https://openalex.org/W2523114998","https://openalex.org/W2615322227","https://openalex.org/W2622131335","https://openalex.org/W2767341768","https://openalex.org/W2804903106","https://openalex.org/W2911761300","https://openalex.org/W3216769429","https://openalex.org/W4230150613","https://openalex.org/W4246435226","https://openalex.org/W4252009343","https://openalex.org/W4253533180","https://openalex.org/W4293872590"],"related_works":["https://openalex.org/W1981780420","https://openalex.org/W2182707996","https://openalex.org/W45233828","https://openalex.org/W2964988449","https://openalex.org/W2397952901","https://openalex.org/W2029380707","https://openalex.org/W188202134","https://openalex.org/W4255934811","https://openalex.org/W2465382974","https://openalex.org/W2010229520"],"abstract_inverted_index":{"Designing":[0],"engaging":[1],"learning":[2],"content":[3],"is":[4],"important":[5],"but":[6],"difficult,":[7],"and":[8,26,37,40,66,92,117,124],"typically":[9],"involves":[10],"a":[11,18,46],"lot":[12],"of":[13,79,85,101,104,122,126],"manual":[14],"specification.":[15],"We":[16,42,73],"present":[17,43,75],"unified":[19],"framework":[20,60,95],"that":[21,58,82,93],"utilizes":[22],"automatic":[23,111],"problem":[24],"decomposition":[25],"partial":[27],"ordering":[28],"graph":[29],"construction":[30],"to":[31,98],"facilitate":[32],"multiple":[33],"workflows:":[34],"knowledge":[35],"assessment":[36,55],"progression":[38,106,112],"analysis":[39,78],"design.":[41,107],"results":[44,76],"from":[45,77,129],"study":[47],"with":[48,114],"847":[49],"participants":[50],"in":[51],"an":[52],"online":[53],"Japanese-language":[54],"tool":[56],"demonstrating":[57],"our":[59,94],"can":[61,96],"efficiently":[62],"measure":[63],"student":[64,68],"ability":[65],"predict":[67],"performance":[69],"on":[70],"specific":[71],"problems.":[72],"also":[74],"curricula":[80],"showing":[81],"the":[83,99],"progressions":[84,123],"two":[86],"different":[87],"textbooks":[88],"are":[89],"surprisingly":[90],"similar,":[91],"lead":[97],"discovery":[100],"general":[102],"principles":[103],"expert":[105],"Finally,":[108],"we":[109],"demonstrate":[110],"generation":[113],"desired":[115],"sequencing":[116],"pacing,":[118],"allowing":[119],"for":[120],"tailoring":[121],"mapping":[125],"parameters":[127],"extracted":[128],"one":[130],"curriculum":[131],"onto":[132],"another.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}