{"id":"https://openalex.org/W3011020943","doi":"https://doi.org/10.1109/fie43999.2019.9028367","title":"Introducing machine learning concepts using hands-on Android-based exercises","display_name":"Introducing machine learning concepts using hands-on Android-based exercises","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3011020943","doi":"https://doi.org/10.1109/fie43999.2019.9028367","mag":"3011020943"},"language":"en","primary_location":{"id":"doi:10.1109/fie43999.2019.9028367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fie43999.2019.9028367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Frontiers in Education Conference (FIE)","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/A5089082199","display_name":"Blaine Ayotte","orcid":"https://orcid.org/0000-0003-1909-4951"},"institutions":[{"id":"https://openalex.org/I16944753","display_name":"Clarkson University","ror":"https://ror.org/03rwgpn18","country_code":"US","type":"education","lineage":["https://openalex.org/I16944753"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Blaine Ayotte","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY","institution_ids":["https://openalex.org/I16944753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075214310","display_name":"Justin Au-Yeung","orcid":null},"institutions":[{"id":"https://openalex.org/I16944753","display_name":"Clarkson University","ror":"https://ror.org/03rwgpn18","country_code":"US","type":"education","lineage":["https://openalex.org/I16944753"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Justin Au-Yeung","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY","institution_ids":["https://openalex.org/I16944753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085141819","display_name":"Mahesh K. Banavar","orcid":"https://orcid.org/0000-0002-3916-7137"},"institutions":[{"id":"https://openalex.org/I16944753","display_name":"Clarkson University","ror":"https://ror.org/03rwgpn18","country_code":"US","type":"education","lineage":["https://openalex.org/I16944753"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahesh K. Banavar","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY","institution_ids":["https://openalex.org/I16944753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072180721","display_name":"Dana M. Barry","orcid":"https://orcid.org/0000-0001-5662-7548"},"institutions":[{"id":"https://openalex.org/I16944753","display_name":"Clarkson University","ror":"https://ror.org/03rwgpn18","country_code":"US","type":"education","lineage":["https://openalex.org/I16944753"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dana Barry","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY","institution_ids":["https://openalex.org/I16944753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053234630","display_name":"Gowtham Muniraju","orcid":"https://orcid.org/0000-0003-0532-2896"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gowtham Muniraju","raw_affiliation_strings":["SenSIP Center, School of ECEE, Arizona State University, Tempe, AZ"],"affiliations":[{"raw_affiliation_string":"SenSIP Center, School of ECEE, Arizona State University, Tempe, AZ","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103160970","display_name":"Sunil Rao","orcid":"https://orcid.org/0000-0002-8151-5174"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sunil Rao","raw_affiliation_strings":["SenSIP Center, School of ECEE, Arizona State University, Tempe, AZ"],"affiliations":[{"raw_affiliation_string":"SenSIP Center, School of ECEE, Arizona State University, Tempe, AZ","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074371899","display_name":"Andreas Spanias","orcid":"https://orcid.org/0000-0003-0306-9348"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Spanias","raw_affiliation_strings":["SenSIP Center, School of ECEE, Arizona State University, Tempe, AZ"],"affiliations":[{"raw_affiliation_string":"SenSIP Center, School of ECEE, Arizona State University, Tempe, AZ","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080800965","display_name":"Cihan Tepedelenlio\u011flu","orcid":"https://orcid.org/0000-0002-9180-1158"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C. Tepedelenlioglu","raw_affiliation_strings":["SenSIP Center, School of ECEE, Arizona State University, Tempe, AZ"],"affiliations":[{"raw_affiliation_string":"SenSIP Center, School of ECEE, Arizona State University, Tempe, AZ","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5089082199"],"corresponding_institution_ids":["https://openalex.org/I16944753"],"apc_list":null,"apc_paid":null,"fwci":0.3009,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70424101,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9914000034332275,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9914000034332275,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9793000221252441,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9717000126838684,"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/computer-science","display_name":"Computer science","score":0.7024902105331421},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.6054803729057312},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.5686380863189697},{"id":"https://openalex.org/keywords/swipe","display_name":"SwIPe","score":0.5613415837287903},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5294232964515686},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.5028002262115479},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5015819072723389},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4677334725856781},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4536653161048889},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.4162343740463257},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.4104901850223541},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.20854845643043518},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.11296916007995605}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7024902105331421},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.6054803729057312},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.5686380863189697},{"id":"https://openalex.org/C2779623668","wikidata":"https://www.wikidata.org/wiki/Q7652842","display_name":"SwIPe","level":2,"score":0.5613415837287903},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5294232964515686},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.5028002262115479},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5015819072723389},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4677334725856781},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4536653161048889},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.4162343740463257},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.4104901850223541},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20854845643043518},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.11296916007995605},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fie43999.2019.9028367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fie43999.2019.9028367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Frontiers in Education Conference (FIE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"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":22,"referenced_works":["https://openalex.org/W242289033","https://openalex.org/W1577497515","https://openalex.org/W2006561224","https://openalex.org/W2074406744","https://openalex.org/W2101515369","https://openalex.org/W2102932275","https://openalex.org/W2110262927","https://openalex.org/W2126177867","https://openalex.org/W2137100320","https://openalex.org/W2147172449","https://openalex.org/W2151854612","https://openalex.org/W2397148972","https://openalex.org/W2499647611","https://openalex.org/W2534225164","https://openalex.org/W2771756038","https://openalex.org/W2780538559","https://openalex.org/W2963114452","https://openalex.org/W2990168612","https://openalex.org/W3145506661","https://openalex.org/W4255310207","https://openalex.org/W6631752087","https://openalex.org/W6675245884"],"related_works":["https://openalex.org/W2398889655","https://openalex.org/W2549484948","https://openalex.org/W4205559861","https://openalex.org/W2536378363","https://openalex.org/W2158820730","https://openalex.org/W1547097662","https://openalex.org/W3202730707","https://openalex.org/W3007448029","https://openalex.org/W3042702478","https://openalex.org/W2755125056"],"abstract_inverted_index":{"In":[0,33],"this":[1,98],"innovative":[2],"practice":[3],"work-in-progress":[4],"paper,":[5],"we":[6,44],"discuss":[7],"novel":[8],"methods":[9],"to":[10,15,24,37,58,84,146,177],"teach":[11],"machine":[12,19,42,67,125,147,197,223],"learning":[13,20,126,148,198,201,224,235],"concepts":[14,26,40],"undergraduate":[16,211],"students.":[17,212],"Teaching":[18],"involves":[21],"introducing":[22],"students":[23,36,57,103,109,162,191],"complex":[25],"in":[27,41,227],"statistics,":[28],"linear":[29],"algebra,":[30],"and":[31,91,134,142,232,242],"optimization.":[32],"order":[34],"for":[35,79,102,204,210,239,247],"better":[38],"grasp":[39],"learning,":[43],"provide":[45,107],"them":[46],"with":[47,110,127,183,215],"hands-on":[48,187],"exercises.":[49],"These":[50,186],"types":[51],"of":[52,62,66,88,114,118,124,195,222,230,251],"immersive":[53],"experiences":[54],"will":[55,120,153,257],"expose":[56],"the":[59,63,80,85,89,92,96,108,116,122,174,190,196,216,220,228,240,248,261],"different":[60,112,184],"stages":[61],"practical":[64],"uses":[65,173],"learning.":[68],"The":[69,132,150,170],"data":[70,138,157,180],"collection":[71],"apparatus":[72],"is":[73,100,202],"based":[74,94],"on":[75,95,158],"applications":[76],"(apps)":[77],"developed":[78],"Android":[81],"platform.":[82],"Due":[83],"accessible":[86],"nature":[87],"app":[90,176],"exercises":[93],"app,":[97],"approach":[99],"useful":[101],"across":[104],"all":[105],"majors.We":[106],"three":[111],"sets":[113],"activities,":[115],"first":[117,217],"which":[119],"introduce":[121],"basics":[123,221],"specially":[128],"designed":[129],"artificial":[130],"datasets.":[131],"second":[133,151,241],"third":[135,171,243],"activities":[136,188,244],"involve":[137,154],"collection,":[139],"modeling,":[140],"training,":[141],"testing,":[143],"as":[144,163],"applied":[145],"algorithms.":[149],"activity":[152,172,206,218],"collecting":[155],"touch/swipe":[156],"mobile":[159],"devices":[160],"from":[161,181,254],"they":[164],"use":[165],"a":[166],"touch":[167],"logger":[168],"app.":[169],"Reflections":[175],"collect":[178],"cross-correlation":[179],"rooms":[182],"purposes.":[185],"guide":[189],"through":[192],"every":[193],"step":[194],"process.":[199],"Student":[200],"assessed":[203],"each":[205],"by":[207],"holding":[208],"workshops":[209,256],"A":[213],"workshop":[214],"outlining":[219],"was":[225,236],"given":[226],"fall":[229,249],"2018":[231],"significant":[233],"student":[234],"demonstrated.":[237],"Workshops":[238],"are":[245],"planned":[246],"semester":[250],"2019.":[252],"Results":[253],"these":[255],"be":[258],"presented":[259],"at":[260],"conference.":[262]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
