{"id":"W2997431936","doi":"10.20533/ijcdse.2042.6364.2017.0429","title":"Active Learning: Using Bloom's Taxonomy to Support Critical Pedagogy","year":2017,"lang":"en","type":"article","venue":"International Journal for Cross-Disciplinary Subjects in Education","topic":"Educational Assessment and Pedagogy","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Taxonomy (biology); Bloom; Bloom's taxonomy; Pedagogy; Sociology; Psychology; Computer science; Mathematics education; Biology; Ecology","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":[0.01417448,0.00138889,0.0007505732,0.00907568,0.005266645,0.01100338,0.003299867,0.003428955,0.005897372],"category_scores_gemma":[0.02709928,0.0006269231,0.001078244,0.007453349,0.007381388,0.01994687,0.006232868,0.004097218,0.002286227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01081637,"about_ca_system_score_gemma":0.0179108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01459023,"about_ca_topic_score_gemma":0.02002225,"domain_scores_codex":[0.9826653,0.00813817,0.002549339,0.001164195,0.004800674,0.000682323],"domain_scores_gemma":[0.9789745,0.009307261,0.002270425,0.001937664,0.006352647,0.001157544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006986332,0.0001711262,0.007534734,0.0009764791,0.00001550298,0.0003887987,0.04210018,0.001728825,0.001265485,0.7425334,0.01926662,0.1839491],"study_design_scores_gemma":[0.00002884713,0.00009889527,0.002858047,0.001991196,0.00001557105,0.0006942088,0.02086091,0.005693095,0.001075318,0.4443551,0.5222411,0.00008774052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02312472,0.00501586,0.7133104,0.01392347,0.001032699,0.004185117,0.001297261,0.001351755,0.2367587],"genre_scores_gemma":[0.1177729,0.003037216,0.8593596,0.0013509,0.0001158143,0.003248737,0.0008287904,0.0002246515,0.01406147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01459023,"threshold_uncertainty_score":0.07847857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1568357634898208,"score_gpt":0.5786564375773432,"score_spread":0.4218206740875224,"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."}}