{"id":"https://openalex.org/W7214515338","doi":null,"title":"Optimal and heuristic teaching in vast concept spaces","display_name":"Optimal and heuristic teaching in vast concept spaces","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7214515338"},"language":"en","primary_location":{"id":"pmh:oai:escholarship.org:ark:/13030/qt68s7b1j2","doi":null,"is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/68s7b1j2","pdf_url":"https://escholarship.org/content/qt68s7b1j2/qt68s7b1j2.pdf","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0","raw_type":"article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://escholarship.org/content/qt68s7b1j2/qt68s7b1j2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083153888","display_name":"Maya Malaviya","orcid":"https://orcid.org/0000-0001-9676-6550","observed_orcids":["https://orcid.org/0000-0001-9676-6550"]},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Malaviya, Maya","raw_affiliation_strings":["Department of Psychology , New York University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychology , New York University","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108248719","display_name":"Mark Ho","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ho, Mark","raw_affiliation_strings":["Department of Psychology , New York University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychology , New York University","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I57206974"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.46239998936653137,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.46239998936653137,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.46219998598098755,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.007600000128149986,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/nonparametric-bayesian-inference","display_name":"Bayesian nonparametrics","score":0.5699999928474426},{"id":"https://openalex.org/keywords/example-selection","display_name":"example selection","score":0.6010000109672546},{"id":"https://openalex.org/keywords/bayesian-updating","display_name":"Bayesian updating","score":0.414000004529953},{"id":"https://openalex.org/keywords/heuristics","display_name":"heuristics","score":0.7509999871253967},{"id":"https://openalex.org/keywords/educational-guidance","display_name":"educational guidance","score":0.6499999761581421},{"id":"https://openalex.org/keywords/conceptual-space","display_name":"conceptual space","score":0.4480000138282776}],"concepts":[{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.7480000257492065},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6705999970436096},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6571000218391418},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4984999895095825},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4756999909877777},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.427700012922287},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38350000977516174},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3653999865055084},{"id":"https://openalex.org/C2779955035","wikidata":"https://www.wikidata.org/wiki/Q4686785","display_name":"Advice (programming)","level":2,"score":0.35190001130104065},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.34860000014305115},{"id":"https://openalex.org/C88610354","wikidata":"https://www.wikidata.org/wiki/Q1813494","display_name":"Teaching method","level":2,"score":0.3255000114440918},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.3197000026702881},{"id":"https://openalex.org/C191301653","wikidata":"https://www.wikidata.org/wiki/Q17051876","display_name":"Rational analysis","level":3,"score":0.3091000020503998},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.2985000014305115},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.29840001463890076},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.28299999237060547},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.26600000262260437}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:escholarship.org:ark:/13030/qt68s7b1j2","doi":null,"is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/68s7b1j2","pdf_url":"https://escholarship.org/content/qt68s7b1j2/qt68s7b1j2.pdf","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:escholarship.org:ark:/13030/qt68s7b1j2","doi":null,"is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/68s7b1j2","pdf_url":"https://escholarship.org/content/qt68s7b1j2/qt68s7b1j2.pdf","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the Annual Meeting of the Cognitive Science Society, vol 48, iss 0","raw_type":"article"},"sustainable_development_goals":[{"score":0.975600004196167,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7214515338.pdf","grobid_xml":"https://content.openalex.org/works/W7214515338.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W1999021497","https://openalex.org/W2020120284","https://openalex.org/W2112796928","https://openalex.org/W2142336306","https://openalex.org/W2148886952","https://openalex.org/W2525032226","https://openalex.org/W2951513593","https://openalex.org/W2952209611","https://openalex.org/W4311426235","https://openalex.org/W4387891143","https://openalex.org/W4398796152","https://openalex.org/W4402671128"],"related_works":["https://openalex.org/W2399843104","https://openalex.org/W4400447941","https://openalex.org/W4387354687","https://openalex.org/W2978457307","https://openalex.org/W2166493072","https://openalex.org/W2058689487","https://openalex.org/W7016199829","https://openalex.org/W2589540802","https://openalex.org/W7030346164","https://openalex.org/W2148886952"],"abstract_inverted_index":{"Humans":[0],"are":[1,70],"remarkably":[2],"adaptive":[3],"instructors":[4],"who":[5],"adjust":[6],"advice":[7],"based":[8],"on":[9],"their":[10,37],"estimations":[11],"about":[12,32],"a":[13,81,94],"learner\u2019s":[14],"prior":[15,22],"knowledge":[16],"and":[17,43,80,98],"current":[18],"goals.":[19],"Inspired":[20],"by":[21],"work":[23],"in":[24,62,90,108,113],"rational":[25,67],"pedagogy,":[26],"we":[27],"model":[28,79,86],"teachers":[29,104],"that":[30,47,54],"reason":[31],"how":[33,103],"learners":[34],"will":[35],"update":[36],"beliefs":[38],"when":[39],"given":[40],"different":[41],"examples,":[42],"thereby":[44],"select":[45],"examples":[46],"minimize":[48],"expected":[49],"learner":[50],"error.":[51],"We":[52,72],"demonstrate":[53],"Bayesian":[55],"non-parametric":[56],"approaches":[57],"can":[58],"characterize":[59],"teaching":[60,68,75],"strategies":[61],"continuous":[63],"domains,":[64],"where":[65],"traditional":[66],"models":[69],"intractable.":[71],"compare":[73],"human":[74,91],"choices":[76,92],"against":[77],"our":[78],"variety":[82],"of":[83,96],"heuristics.":[84],"Our":[85],"explains":[87],"significant":[88],"variance":[89],"beyond":[93],"mixture":[95],"heuristics,":[97],"provides":[99],"insight":[100,101],"into":[102],"formulate":[105],"pedagogical":[106],"guidance":[107],"computationally":[109],"tractable":[110],"ways,":[111],"even":[112],"vast":[114],"spaces.":[115]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-09-27T00:00:00"}