{"id":"W3019476132","doi":"10.14742/ajet.5689","title":"Not just digital natives: Integrating technologies in professional education contexts","year":2020,"lang":"en","type":"article","venue":"Australasian Journal of Educational Technology","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal College of Physicians and Surgeons of Canada; Mount Royal University","funders":"Social Sciences and Humanities Research Council of Canada; University of British Columbia; Mount Royal University","keywords":"Digital native; Affordance; Leverage (statistics); Sociocultural evolution; Technology integration; Technological literacy; Educational technology; Engineering ethics; Emerging technologies; Computer science; Pedagogy; Sociology; Engineering; World Wide Web; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005757044,0.0002521673,0.0003603038,0.001765376,0.005568211,0.01042891,0.0007454384,0.002022349,0.002097574],"category_scores_gemma":[0.005744892,0.0003128445,0.0002961609,0.001091677,0.01264074,0.01540071,0.01263155,0.002855855,0.0004316556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001653764,"about_ca_system_score_gemma":0.00229507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001638582,"about_ca_topic_score_gemma":0.002667233,"domain_scores_codex":[0.9958793,0.002355327,0.0001794096,0.0004899797,0.0006746947,0.0004213073],"domain_scores_gemma":[0.9962996,0.002055359,0.0003612587,0.0002710072,0.0002616976,0.000751103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00003409735,0.0001451673,0.01107265,0.000425877,0.00001355644,0.001643627,0.7248957,0.00008008412,0.00135182,0.1475119,0.001583811,0.1112416],"study_design_scores_gemma":[0.00001674947,0.0002596638,0.009229237,0.001223866,0.00003161461,0.005093577,0.597044,0.0003651903,0.00167092,0.07291784,0.3120921,0.00005531324],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7736499,0.02369377,0.01809113,0.02337424,0.0005558455,0.00009150051,0.00002847592,0.00007062208,0.1604444],"genre_scores_gemma":[0.978947,0.006889469,0.003769538,0.002297219,0.0001155827,0.00003562912,0.00001535139,0.0000218855,0.007908271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01042891,"threshold_uncertainty_score":0.03044653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02925886681130623,"score_gpt":0.370918089498129,"score_spread":0.3416592226868227,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}