{"id":"W3001856150","doi":"10.24908/pceea.vi0.13823","title":"ACTIVE LEARNING IN A SECOND YEAR SURVEYING COURSE","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Geomatics; Constructive; Active learning (machine learning); Psychomotor learning; Mathematics education; Class (philosophy); Process (computing); Computer science; Cognition; Psychology; Artificial intelligence; Geography; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003882166,0.0007726563,0.0006673794,0.000978742,0.002018685,0.002746377,0.001851921,0.0007918366,0.01326847],"category_scores_gemma":[0.00426193,0.0004737484,0.0005656203,0.0006241451,0.0007326367,0.0008834591,0.003474595,0.001309979,0.00326052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002332214,"about_ca_system_score_gemma":0.004501767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002821545,"about_ca_topic_score_gemma":0.00801657,"domain_scores_codex":[0.9983432,0.0003701023,0.00006731063,0.0003325374,0.0003975611,0.000489106],"domain_scores_gemma":[0.9938713,0.0009517575,0.0003138389,0.0006346233,0.000752295,0.00347605],"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":[0.003484708,0.09329665,0.07368261,0.0005702371,0.00005703064,0.001202471,0.03880158,0.002206824,0.0402392,0.006246078,0.02696284,0.7132497],"study_design_scores_gemma":[0.002188502,0.1044251,0.4706099,0.0005635248,0.0001412987,0.001280338,0.03809984,0.005849299,0.07326996,0.006835051,0.296399,0.0003381918],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688312,0.00007875421,0.007678146,0.000429136,0.0001849393,0.002270635,0.0003230306,0.0003834347,0.01982063],"genre_scores_gemma":[0.8845988,0.0002092702,0.03201796,0.0008827008,0.0001247901,0.0036028,0.0011158,0.00005919281,0.07738867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01326847,"threshold_uncertainty_score":0.04438746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00978098225990083,"score_gpt":0.2809154011728374,"score_spread":0.2711344189129366,"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."}}