{"id":"W2528222876","doi":"10.4018/978-1-5225-1668-2.ch001","title":"Developing Technological Fluency in and through Teacher Education","year":2016,"lang":"en","type":"book-chapter","venue":"Advances in higher education and professional development book series","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Red River College","funders":"","keywords":"General partnership; Professional development; Fluency; Pedagogy; Teacher education; Mathematics education; Quality (philosophy); Professional learning community; Psychology; Sociology; Political science","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":[0.000821461,0.000426494,0.0004075605,0.001231976,0.001691192,0.00771281,0.0007576101,0.001320196,0.0138317],"category_scores_gemma":[0.003649789,0.0002709895,0.0003723536,0.0006296053,0.00296415,0.006339017,0.003787688,0.002394718,0.005889575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577772,"about_ca_system_score_gemma":0.003030159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001321176,"about_ca_topic_score_gemma":0.002159595,"domain_scores_codex":[0.9992478,0.0002176092,0.00004268537,0.0001037978,0.0002743536,0.0001138062],"domain_scores_gemma":[0.998731,0.0006268913,0.00007378689,0.0001555332,0.0002513511,0.0001614661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000266947,0.0001544002,0.001293663,0.0005192191,0.00000988931,0.0006082741,0.03753466,0.0003884898,0.004372589,0.346084,0.05455743,0.5544506],"study_design_scores_gemma":[0.00001117583,0.00005548236,0.001879261,0.0007043302,0.000007353686,0.001209449,0.007392038,0.0003333567,0.00213881,0.04967142,0.9365781,0.00001915781],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02093039,0.005986715,0.0283564,0.005260304,0.00055376,0.000114538,0.00005780411,0.000871449,0.9378687],"genre_scores_gemma":[0.2240812,0.01051438,0.03826171,0.001959631,0.0002993954,0.0002668296,0.0001698821,0.0006374125,0.7238095],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0138317,"threshold_uncertainty_score":0.04627168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02230668495771668,"score_gpt":0.3140291076477128,"score_spread":0.2917224226899962,"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."}}