{"id":"https://openalex.org/W7155644765","doi":"https://doi.org/10.1145/3785022.3785117","title":"From Intra-Unit Abort to Completion: Optimizing Engagement in Low-Resource Classrooms","display_name":"From Intra-Unit Abort to Completion: Optimizing Engagement in Low-Resource Classrooms","publication_year":2026,"publication_date":"2026-04-25","ids":{"openalex":"https://openalex.org/W7155644765","doi":"https://doi.org/10.1145/3785022.3785117"},"language":null,"primary_location":{"id":"doi:10.1145/3785022.3785117","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3785022.3785117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the LAK26: 16th International Learning Analytics and Knowledge Conference","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/A5078689502","display_name":"Amar Lalwani","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Amar Lalwani","raw_affiliation_strings":["EIDU, Berlin, Germany"],"raw_orcid":"https://orcid.org/0009-0005-3494-4645","affiliations":[{"raw_affiliation_string":"EIDU, Berlin, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055200276","display_name":"Kevin Trebing","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kevin Trebing","raw_affiliation_strings":["EIDU, Berlin, Germany"],"raw_orcid":"https://orcid.org/0000-0002-4323-9615","affiliations":[{"raw_affiliation_string":"EIDU, Berlin, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134570720","display_name":"Harriet Crisp","orcid":"https://orcid.org/0009-0000-7377-1955"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Harriet Crisp","raw_affiliation_strings":["EIDU, Berlin, Germany"],"raw_orcid":"https://orcid.org/0009-0000-7377-1955","affiliations":[{"raw_affiliation_string":"EIDU, Berlin, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018398143","display_name":"Aidan Friedberg","orcid":"https://orcid.org/0000-0001-5080-5905"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aidan Friedberg","raw_affiliation_strings":["EIDU, Berlin, Germany"],"raw_orcid":"https://orcid.org/0000-0001-5080-5905","affiliations":[{"raw_affiliation_string":"EIDU, Berlin, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5078689502"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.96999647,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"983","last_page":"998"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.16429999470710754,"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/T11122","display_name":"Online Learning and Analytics","score":0.16429999470710754,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.13009999692440033,"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/T11516","display_name":"Visual and Cognitive Learning Processes","score":0.07660000026226044,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/abort","display_name":"Abort","score":0.8364999890327454},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5275999903678894},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5108000040054321},{"id":"https://openalex.org/keywords/unit","display_name":"Unit (ring theory)","score":0.5011000037193298},{"id":"https://openalex.org/keywords/learning-effect","display_name":"Learning effect","score":0.29319998621940613},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.28760001063346863},{"id":"https://openalex.org/keywords/case-based-reasoning","display_name":"Case-based reasoning","score":0.2867000102996826}],"concepts":[{"id":"https://openalex.org/C2777549182","wikidata":"https://www.wikidata.org/wiki/Q15117556","display_name":"Abort","level":2,"score":0.8364999890327454},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7170000076293945},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5275999903678894},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.5164999961853027},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5108000040054321},{"id":"https://openalex.org/C122637931","wikidata":"https://www.wikidata.org/wiki/Q118084","display_name":"Unit (ring theory)","level":2,"score":0.5011000037193298},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4108000099658966},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3061999976634979},{"id":"https://openalex.org/C10431821","wikidata":"https://www.wikidata.org/wiki/Q6510174","display_name":"Learning effect","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.28760001063346863},{"id":"https://openalex.org/C20162079","wikidata":"https://www.wikidata.org/wiki/Q1151406","display_name":"Case-based reasoning","level":2,"score":0.2867000102996826},{"id":"https://openalex.org/C201025465","wikidata":"https://www.wikidata.org/wiki/Q11248500","display_name":"User experience design","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C142039133","wikidata":"https://www.wikidata.org/wiki/Q3620943","display_name":"Personalized learning","level":5,"score":0.27970001101493835},{"id":"https://openalex.org/C156325361","wikidata":"https://www.wikidata.org/wiki/Q1152864","display_name":"Grounded theory","level":3,"score":0.2743000090122223},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.2711000144481659},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.26100000739097595},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C2779344036","wikidata":"https://www.wikidata.org/wiki/Q11320476","display_name":"Digital content","level":2,"score":0.25999999046325684},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.25519999861717224},{"id":"https://openalex.org/C2781020372","wikidata":"https://www.wikidata.org/wiki/Q533093","display_name":"On the fly","level":2,"score":0.2535000145435333}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3785022.3785117","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3785022.3785117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the LAK26: 16th International Learning Analytics and Knowledge Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6130193471908569}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W4310249545","https://openalex.org/W4378715220","https://openalex.org/W4381511804","https://openalex.org/W4382566925","https://openalex.org/W4387924670","https://openalex.org/W4400668151","https://openalex.org/W4400927081","https://openalex.org/W4406146760"],"related_works":[],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,11,16,27,45,50,65],"field-deployed":[3],"study":[4],"on":[5,26],"reducing":[6],"within-unit":[7],"abort":[8],"behavior":[9],"in":[10,21],"low-resource":[12],"EdTech":[13],"setting,":[14],"using":[15,64],"personalized":[17],"recommendation":[18],"strategy":[19],"grounded":[20],"learner":[22],"interaction":[23],"history.":[24],"Conducted":[25],"digital":[28],"learning":[29],"platform":[30],"deployed":[31],"by":[32],"EIDU":[33],"which":[34],"incorporates":[35],"content":[36,52],"aligned":[37],"to":[38,75],"Kenya\u2019s":[39],"pre-primary":[40],"curriculum,":[41],"the":[42,72],"experiment":[43],"compares":[44],"model-driven":[46],"unit":[47,74],"recommender":[48,55],"against":[49],"fixed":[51],"sequence.":[53],"The":[54],"estimates":[56],"completion":[57],"probabilities":[58],"from":[59],"each":[60],"learner\u2019s":[61],"recent":[62],"gameplay":[63],"CNN-based":[66],"time":[67],"series":[68],"classifier,":[69],"and":[70,79],"selects":[71],"next":[73],"optimize":[76],"both":[77],"immediate":[78],"downstream":[80],"success.":[81]},"counts_by_year":[],"updated_date":"2026-04-26T06:07:20.044499","created_date":"2026-04-26T00:00:00"}
