{"id":"W2268152024","doi":"10.1080/1475939x.2015.1120684","title":"Students’ use of personal technologies in the university classroom: analysing the perceptions of the digital generation","year":2016,"lang":"en","type":"article","venue":"Technology Pedagogy and Education","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Wilfrid Laurier University","keywords":"Sociology; Perception; The Internet; Public relations; Politics; Higher education; Pedagogy; Power (physics); Qualitative research; Psychology; Political science; Social science; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.003622062,0.0002796764,0.0003886346,0.001384842,0.003520428,0.007095259,0.0008585884,0.001270573,0.002650492],"category_scores_gemma":[0.008205509,0.000311553,0.0003003594,0.0009510076,0.003645737,0.002674606,0.00377114,0.002028414,0.0006113849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002077999,"about_ca_system_score_gemma":0.001686623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00603293,"about_ca_topic_score_gemma":0.008701816,"domain_scores_codex":[0.9971415,0.00127973,0.0001422287,0.0001860242,0.0005502331,0.0007001786],"domain_scores_gemma":[0.9935204,0.002588349,0.001107085,0.0002230021,0.0008038747,0.00175731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005034772,0.0004445441,0.1073111,0.0000628432,0.00001214799,0.0004558254,0.8688083,0.00007474424,0.001710675,0.001193497,0.0005866611,0.01928924],"study_design_scores_gemma":[0.000005601684,0.0001456538,0.03814371,0.00004511061,0.000009126852,0.0001490648,0.9545711,0.0001802785,0.0005316259,0.000256097,0.005939931,0.00002258388],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981503,0.00005612031,0.0001490135,0.0002335787,0.000004515829,0.000007338748,0.000008394192,0.000003585592,0.00138723],"genre_scores_gemma":[0.999119,0.00007347589,0.0000729903,0.00008757876,0.000002838534,0.00000810926,0.000007436084,0.000003166182,0.0006253786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007095259,"threshold_uncertainty_score":0.0191555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03603380634529806,"score_gpt":0.3493248641835668,"score_spread":0.3132910578382687,"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."}}