{"id":"https://openalex.org/W2799002249","doi":"https://doi.org/10.1145/3170427.3188541","title":"Labeling Implicit Computational Thinking in Pizza Pass Gameplay","display_name":"Labeling Implicit Computational Thinking in Pizza Pass Gameplay","publication_year":2018,"publication_date":"2018-04-20","ids":{"openalex":"https://openalex.org/W2799002249","doi":"https://doi.org/10.1145/3170427.3188541","mag":"2799002249"},"language":"en","primary_location":{"id":"doi:10.1145/3170427.3188541","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3170427.3188541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the 2018 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/A5066724636","display_name":"Elizabeth Rowe","orcid":"https://orcid.org/0000-0002-3185-2308"},"institutions":[{"id":"https://openalex.org/I4210119251","display_name":"Technical Education Research Centers","ror":"https://ror.org/02f7txf64","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210119251"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Elizabeth Rowe","raw_affiliation_strings":["TERC, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"TERC, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210119251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056820287","display_name":"Jodi Asbell\u2010Clarke","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119251","display_name":"Technical Education Research Centers","ror":"https://ror.org/02f7txf64","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210119251"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jodi Asbell-Clarke","raw_affiliation_strings":["TERC, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"TERC, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210119251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088695714","display_name":"Ryan S. Baker","orcid":"https://orcid.org/0000-0002-3051-3232"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryan Baker","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029050830","display_name":"Santiago Gasca","orcid":"https://orcid.org/0009-0002-2126-0867"},"institutions":[{"id":"https://openalex.org/I4210119251","display_name":"Technical Education Research Centers","ror":"https://ror.org/02f7txf64","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210119251"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Santiago Gasca","raw_affiliation_strings":["TERC, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"TERC, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210119251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005318287","display_name":"Erin Bardar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119251","display_name":"Technical Education Research Centers","ror":"https://ror.org/02f7txf64","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210119251"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erin Bardar","raw_affiliation_strings":["TERC, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"TERC, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210119251"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063568172","display_name":"Richard Scruggs","orcid":"https://orcid.org/0000-0002-0366-5644"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard Scruggs","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5066724636"],"corresponding_institution_ids":["https://openalex.org/I4210119251"],"apc_list":null,"apc_paid":null,"fwci":1.8908,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.87457685,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10533","display_name":"Teaching and Learning Programming","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10533","display_name":"Teaching and Learning Programming","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10731","display_name":"Educational Games and Gamification","score":0.9986000061035156,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9776999950408936,"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/computational-thinking","display_name":"Computational thinking","score":0.7210073471069336},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7050902247428894},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.7010465264320374},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.49790239334106445},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.45669323205947876},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4468553364276886},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4421650469303131},{"id":"https://openalex.org/keywords/game-based-learning","display_name":"Game based learning","score":0.4325733780860901},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4159452021121979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37682288885116577},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.32090944051742554},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08710592985153198}],"concepts":[{"id":"https://openalex.org/C2780368719","wikidata":"https://www.wikidata.org/wiki/Q5157342","display_name":"Computational thinking","level":2,"score":0.7210073471069336},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7050902247428894},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.7010465264320374},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.49790239334106445},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.45669323205947876},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4468553364276886},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4421650469303131},{"id":"https://openalex.org/C2982948194","wikidata":"https://www.wikidata.org/wiki/Q1140363","display_name":"Game based learning","level":2,"score":0.4325733780860901},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4159452021121979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37682288885116577},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.32090944051742554},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08710592985153198},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3170427.3188541","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3170427.3188541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8600000143051147}],"awards":[{"id":"https://openalex.org/G3751316991","display_name":null,"funder_award_id":"1502282","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W79190670","https://openalex.org/W1521360432","https://openalex.org/W1606540910","https://openalex.org/W1997859426","https://openalex.org/W2018037215","https://openalex.org/W2100029531","https://openalex.org/W2339183141","https://openalex.org/W2601636749","https://openalex.org/W2764142422"],"related_works":["https://openalex.org/W2769482900","https://openalex.org/W3155803285","https://openalex.org/W3213086777","https://openalex.org/W2769928932","https://openalex.org/W2979937253","https://openalex.org/W3033687264","https://openalex.org/W2742379954","https://openalex.org/W4390870682","https://openalex.org/W2989007402","https://openalex.org/W4291475988"],"abstract_inverted_index":{"Players":[0],"can":[1],"build":[2],"implicit":[3,21],"understanding":[4],"of":[5,26,49,109],"challenging":[6],"scientific":[7],"concepts":[8],"when":[9],"playing":[10,38],"digital":[11,85],"science":[12],"learning":[13],"games":[14],"[7].":[15],"In":[16,88],"this":[17],"study,":[18],"we":[19,91],"examine":[20],"computational":[22],"thinking":[23],"(CT)":[24],"skills":[25,57,101],"72":[27],"upper":[28],"elementary":[29],"and":[30,34,66,79,120],"middle":[31],"school":[32],"students":[33],"10":[35],"computer":[36],"scientists":[37],"a":[39],"game":[40],"called":[41],"Pizza":[42],"Pass.":[43],"We":[44],"report":[45],"on":[46,71],"the":[47,99],"process":[48],"creating":[50],"automated":[51,107],"detectors":[52,108],"to":[53,96,114,124],"identify":[54,98],"four":[55],"CT":[56,100,110],"from":[58,84],"gameplay:":[59],"problem":[60],"decomposition,":[61],"pattern":[62],"recognition,":[63],"algorithmic":[64],"thinking,":[65],"abstraction.":[67],"This":[68],"paper":[69],"reports":[70],"hand-labeled":[72],"playback":[73],"data":[74,117],"obtaining":[75],"acceptable":[76],"inter-rater":[77],"reliability":[78],"100":[80],"gameplay":[81,116],"features":[82,95],"distilled":[83],"log":[86],"data.":[87],"future":[89],"work,":[90],"will":[92,111],"mine":[93],"these":[94],"automatically":[97],"previously":[102],"labeled":[103],"by":[104],"humans.":[105],"These":[106],"be":[112],"used":[113],"analyze":[115],"at":[118],"scale":[119],"provide":[121],"actionable":[122],"feedback":[123],"teachers":[125],"in":[126],"real-time.":[127]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}