{"id":"W1527292373","doi":"","title":"Educating the Mobile Generation – using personal cell phones as audience response systems in post-secondary science teaching.","year":2010,"lang":"en","type":"article","venue":"Journal of Computers in Mathematics and Science Teaching","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Audience response; Multimedia; Mobile device; Computer science; Science education; Teaching method; Mathematics education; Psychology; Pedagogy; World Wide Web; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001071266,0.0001609941,0.0000837164,0.0002222114,0.0005242854,0.001007003,0.0003813194,0.0007334331,0.01403258],"category_scores_gemma":[0.00364818,0.000106142,0.0001107246,0.0001408155,0.0002722839,0.001100425,0.001223135,0.0005927695,0.003438836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003145063,"about_ca_system_score_gemma":0.0008707656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001481336,"about_ca_topic_score_gemma":0.00375865,"domain_scores_codex":[0.9995142,0.0002530784,0.00001067035,0.00004131521,0.0000803404,0.0001003829],"domain_scores_gemma":[0.9990349,0.0004234934,0.00006933918,0.0000512322,0.0001743079,0.000246721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006901278,0.002586353,0.04967785,0.0004487684,0.00003267769,0.0008292298,0.03711526,0.0003893927,0.03110788,0.003619401,0.02627846,0.8472248],"study_design_scores_gemma":[0.0004754055,0.009470228,0.2539495,0.001151406,0.0003053931,0.003115041,0.1415424,0.006354298,0.05013032,0.007817776,0.5255612,0.0001270652],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.936857,0.001395606,0.007610784,0.005286348,0.0003385919,0.0002167711,0.00007964554,0.0001943648,0.04802089],"genre_scores_gemma":[0.9618304,0.001059757,0.004142855,0.001016357,0.00007800497,0.00006800601,0.00004372604,0.00003393612,0.03172698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01403258,"threshold_uncertainty_score":0.0469436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01487508472433932,"score_gpt":0.299927572168959,"score_spread":0.2850524874446196,"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."}}