{"id":"W585815825","doi":"","title":"Learning and teaching with emerging technologies: Preservice pedagogy and classroom realities","year":2012,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Pedagogy; Mathematics education; Emerging technologies; Higher education; Teaching method; Sociology; Computer science; Psychology; Engineering ethics; Political science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001940167,0.0001614962,0.0002025981,0.0009669879,0.003551721,0.006743614,0.0006383887,0.0007748529,0.002621147],"category_scores_gemma":[0.004808737,0.0001735714,0.0001382109,0.0007297123,0.00467885,0.003113383,0.003410578,0.001210896,0.0002634625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002583601,"about_ca_system_score_gemma":0.002412239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005035423,"about_ca_topic_score_gemma":0.01800577,"domain_scores_codex":[0.9982736,0.000995778,0.00004538201,0.000129113,0.000297183,0.0002589897],"domain_scores_gemma":[0.9974656,0.001267355,0.000288174,0.0001185184,0.0001689029,0.0006914623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004502874,0.0005207715,0.1033461,0.0001613843,0.00001063461,0.002311592,0.8160282,0.000171197,0.001401495,0.0180043,0.001837364,0.05616202],"study_design_scores_gemma":[0.00001079141,0.0001131467,0.04305064,0.0001460273,0.000006216068,0.001202052,0.9247941,0.0001560076,0.0004231978,0.004091919,0.02599138,0.0000145776],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713911,0.001216113,0.0007058805,0.001896818,0.00002953297,0.00001985238,0.00001568333,0.00001001906,0.02471508],"genre_scores_gemma":[0.9968055,0.0005534917,0.0001632765,0.00009804084,0.00001057963,0.000009656629,0.000008915077,0.000003344021,0.002347234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006743614,"threshold_uncertainty_score":0.01874548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340443070510839,"score_gpt":0.2545135564586005,"score_spread":0.2411091257534921,"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."}}