{"id":"W2059735166","doi":"10.2304/elea.2009.6.3.275","title":"Leveraging New Technologies for Professional Learning in Education: Digital Literacies as Culture Shift in Professional Development","year":2009,"lang":"en","type":"article","venue":"E-Learning and Digital Media","topic":"Education and Technology Integration","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Professional development; Curriculum; Professional learning community; Literacy; Computer science; Instructional design; Educational technology; Mathematics education; Pedagogy; Psychology; Multimedia","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":[0.00244212,0.0002678439,0.0001776813,0.001050431,0.002714069,0.01226639,0.0006647608,0.001654254,0.003009775],"category_scores_gemma":[0.004812805,0.0002309339,0.0002781635,0.001097178,0.01031746,0.01156112,0.008406786,0.001834854,0.0003338671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004226387,"about_ca_system_score_gemma":0.004804825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003420194,"about_ca_topic_score_gemma":0.007258746,"domain_scores_codex":[0.998598,0.0007927199,0.00004712721,0.0001130605,0.0002561731,0.0001928638],"domain_scores_gemma":[0.9969258,0.001820623,0.0002799012,0.0002380421,0.0001969111,0.0005387278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006181846,0.0002474907,0.01494002,0.0003916,0.00002147153,0.000848838,0.1371274,0.0005250633,0.002576877,0.5450906,0.005467847,0.292701],"study_design_scores_gemma":[0.00005271078,0.0003094249,0.03470023,0.001183758,0.00006042796,0.002337337,0.1921403,0.003328088,0.005329177,0.4550776,0.3053634,0.0001176342],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4774394,0.01636182,0.05053313,0.07777926,0.0006260549,0.0001733226,0.00007098442,0.0002249327,0.3767911],"genre_scores_gemma":[0.9776268,0.004860524,0.01016744,0.001220758,0.00008401828,0.00006466772,0.00001210174,0.00002769617,0.005936112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01226639,"threshold_uncertainty_score":0.03066474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153883996406457,"score_gpt":0.3274320244110202,"score_spread":0.3120436247703745,"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."}}