{"id":"https://openalex.org/W6889857481","doi":"https://doi.org/10.30191/ets.202507_28(3).sp12","title":"Use Me Wisely: AI-Driven Assessment for LLM Prompting Skills Development","display_name":"Use Me Wisely: AI-Driven Assessment for LLM Prompting Skills Development","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W6889857481","doi":"https://doi.org/10.30191/ets.202507_28(3).sp12"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2503.02532","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.02532","pdf_url":"https://arxiv.org/pdf/2503.02532","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","doaj"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2503.02532","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068529617","display_name":"Dimitri Ognibene","orcid":"https://orcid.org/0000-0002-9454-680X","observed_orcids":["https://orcid.org/0000-0002-9454-680X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ognibene, Dimitri","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071982890","display_name":"Gregor Donabauer","orcid":"https://orcid.org/0009-0002-8764-4943","observed_orcids":["https://orcid.org/0009-0002-8764-4943"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Donabauer, Gregor","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068006788","display_name":"Emily Theophilou","orcid":"https://orcid.org/0000-0001-8290-9944","observed_orcids":["https://orcid.org/0000-0001-8290-9944"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Theophilou, Emily","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092229440","display_name":"Cansu Koyut\u00fcrk","orcid":"https://orcid.org/0009-0005-7562-7400","observed_orcids":["https://orcid.org/0009-0005-7562-7400"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Koyuturk, Cansu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092229441","display_name":"Mona Yavari","orcid":"https://orcid.org/0000-0002-3626-5508","observed_orcids":["https://orcid.org/0000-0002-3626-5508"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yavari, Mona","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031533197","display_name":"Sathya Bur\u0161i\u0107","orcid":"https://orcid.org/0000-0001-8327-5007","observed_orcids":["https://orcid.org/0000-0001-8327-5007"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bursic, Sathya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092229442","display_name":"Alessia Telari","orcid":"https://orcid.org/0009-0005-0910-7693","observed_orcids":["https://orcid.org/0009-0005-0910-7693"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Telari, Alessia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020714264","display_name":"Alessia Testa","orcid":"https://orcid.org/0009-0008-9602-7828","observed_orcids":["https://orcid.org/0009-0008-9602-7828"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Testa, Alessia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083466556","display_name":"Raffaele Boiano","orcid":"https://orcid.org/0000-0002-3676-4163","observed_orcids":["https://orcid.org/0000-0002-3676-4163"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Boiano, Raffaele","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086929289","display_name":"Davide Taibi","orcid":"https://orcid.org/0000-0002-3210-3990","observed_orcids":["https://orcid.org/0000-0002-3210-3990"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Taibi, Davide","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032351358","display_name":"Davinia Hern\u00e1ndez\u2010Leo","orcid":"https://orcid.org/0000-0003-0548-7455","observed_orcids":["https://orcid.org/0000-0003-0548-7455"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hernandez-Leo, Davinia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014534985","display_name":"Udo Kruschwitz","orcid":"https://orcid.org/0000-0002-5503-0341","observed_orcids":["https://orcid.org/0000-0002-5503-0341"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kruschwitz, Udo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5077205990","display_name":"Martin Ruskov","orcid":"https://orcid.org/0000-0001-5337-0636","observed_orcids":["https://orcid.org/0000-0001-5337-0636"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruskov, Martin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T14414","display_name":"Artificial Intelligence in Education","score":0.46970000863075256,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T14414","display_name":"Artificial Intelligence in Education","score":0.46970000863075256,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.24789999425411224,"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/T10028","display_name":"Topic Modeling","score":0.06030000001192093,"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/llm-prompting","display_name":"LLM prompting","score":0.781000018119812},{"id":"https://openalex.org/keywords/prompt-evaluation","display_name":"prompt evaluation","score":0.48100000619888306},{"id":"https://openalex.org/keywords/few-shot-learning","display_name":"few-shot learning","score":0.6980000138282776},{"id":"https://openalex.org/keywords/learning-assessment","display_name":"learning assessment","score":0.6029999852180481},{"id":"https://openalex.org/keywords/generative-ai-literacy","display_name":"generative AI literacy","score":0.8090000152587891},{"id":"https://openalex.org/keywords/gpt-4","display_name":"GPT-4","score":0.7300000190734863},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"ensemble learning","score":0.5130000114440918}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.630299985408783},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.628000020980835},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6233999729156494},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5954999923706055},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5181000232696533},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4715000092983246},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4648999869823456},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.46070000529289246},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44110000133514404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42800000309944153},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3919999897480011},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3686000108718872},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.3398999869823456},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3393999934196472},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.3102000057697296},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2996000051498413},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.2888000011444092},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.28700000047683716},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C2780066941","wikidata":"https://www.wikidata.org/wiki/Q7893943","display_name":"Universal Design for Learning","level":2,"score":0.28369998931884766},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.26089999079704285},{"id":"https://openalex.org/C40423286","wikidata":"https://www.wikidata.org/wiki/Q284172","display_name":"Selection bias","level":2,"score":0.25209999084472656}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:arXiv.org:2503.02532","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.02532","pdf_url":"https://arxiv.org/pdf/2503.02532","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:boa.unimib.it:10281/553625","doi":"https://doi.org/10.30191/ets.202507_28(3).sp12","is_oa":true,"landing_page_url":"https://hdl.handle.net/10281/553625","pdf_url":null,"source":{"id":"https://openalex.org/S4306401259","display_name":"BOA (University of Milano-Bicocca)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:9d5cd14d5d254432afe4ea86dfb825d5","doi":"https://doi.org/10.30191/ets.202507_28(3).sp12","is_oa":true,"landing_page_url":"https://doaj.org/article/9d5cd14d5d254432afe4ea86dfb825d5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Educational Technology & Society, Vol 28, Iss 3, Pp 184-201 (2025)","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2503.02532","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.02532","pdf_url":"https://arxiv.org/pdf/2503.02532","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.8278999924659729,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"sustainable_development_goals_aurora":[{"score":0.8952678442001343,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Prompting":[0],"with":[1,120],"large":[2],"language":[3],"model":[4],"(LLM)":[5],"powered":[6],"chatbots,":[7],"such":[8],"as":[9,33,35,247,249],"ChatGPT,":[10],"is":[11,31],"adopted":[12],"in":[13,110,217,243,251],"a":[14,158,170],"variety":[15],"of":[16,27,73,95,116,135,163,173,181,192,219,223,229,237],"tasks":[17],"and":[18,44,52,68,90,143,157,231,241],"processes":[19],"across":[20],"different":[21,205],"domains.":[22],"Given":[23],"the":[24,39,65,71,111,174,182,193,212,220,227],"intrinsic":[25],"complexity":[26],"LLMs,":[28],"effective":[29],"prompting":[30,60],"not":[32],"straightforward":[34],"anticipated":[36],"which":[37],"highlights":[38],"need":[40,213],"for":[41,214,239],"novel":[42],"educational":[43],"support":[45,84],"methods":[46,82],"that":[47],"are":[48,103,124,149,236],"both":[49],"widely":[50],"accessible":[51],"seamlessly":[53],"integrated":[54],"into":[55,105],"task":[56,67],"workflows.":[57],"However,":[58,195],"LLM":[59],"shows":[61,187],"strong":[62,171],"dependence":[63],"on":[64,153,176,190,226],"specific":[66],"domain,":[69],"reducing":[70],"usefulness":[72],"generic":[74],"methods.":[75],"We":[76,131,168,210],"intend":[77],"to":[78,107,126],"investigate":[79],"if":[80],"LLM-based":[81],"can":[83],"learning":[85,129,253],"assessments":[86],"using":[87,151],"ad-hoc":[88],"guidelines":[89,102],"an":[91],"extremely":[92],"limited":[93],"number":[94],"annotated":[96,121],"prompt":[97],"samples.":[98],"In":[99],"our":[100,177],"framework,":[101],"transformed":[104],"features":[106,230],"be":[108],"detected":[109],"learners\u2019":[112],"prompts.":[113,233],"The":[114],"descriptions":[115],"these":[117,136],"features,":[118],"together":[119],"sample":[122,155],"prompts,":[123],"used":[125],"create":[127],"few-shot":[128,137],"detectors.":[130],"compare":[132],"various":[133],"configurations":[134],"detectors":[138],"testing":[139],"3":[140],"state-of-the-art":[141],"LLMs":[142,175],"derived":[144],"ensemble":[145],"models.":[146],"Our":[147,234],"experiments":[148],"performed":[150],"cross-validation":[152],"original":[154],"prompts":[156,164],"specifically":[159],"collected":[160],"test":[161],"set":[162],"from":[165],"task-naive":[166],"learners.":[167],"find":[169],"impact":[172,222],"feature":[178],"list.":[179],"One":[180],"most":[183,191],"recent":[184],"models,":[185],"GPT-4,":[186],"promising":[188],"performance":[189],"features.":[194,209],"some":[196],"closely":[197],"connected":[198],"models":[199],"(GPT-3,":[200],"GPT-3.5":[201],"Turbo":[202],"(Instruct))":[203],"show":[204],"behaviors":[206],"when":[207],"classifying":[208],"highlight":[211],"further":[215],"research":[216],"light":[218],"possible":[221],"design":[224],"choices":[225],"selection":[228],"detection":[232],"findings":[235],"relevance":[238],"researchers":[240,250],"practitioners":[242],"generative":[244],"AI":[245],"literacy,":[246],"well":[248],"computer-supported":[252],"assessment.":[254]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2025-10-10T00:00:00"}
