{"id":"W2047727567","doi":"10.11575/prism/33942","title":"Active Learning in an Undergraduate Management Science Course Through the Use of a Mobile Computer Lab","year":2009,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Course (navigation); Computer science; Mobile device; Set (abstract data type); Computer lab; Multimedia; Active learning (machine learning); Medical education; Mathematics education; Engineering management; World Wide Web; Engineering; Psychology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002229375,0.0006840478,0.0003778804,0.0006191591,0.001680772,0.002382738,0.001466586,0.0007826221,0.01536096],"category_scores_gemma":[0.003056824,0.0003103728,0.0003607229,0.0004020877,0.0006577621,0.001536054,0.00294095,0.001557734,0.004714119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00106945,"about_ca_system_score_gemma":0.002381447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006502771,"about_ca_topic_score_gemma":0.001967523,"domain_scores_codex":[0.9991966,0.0001745098,0.00003707156,0.0001380699,0.000200085,0.0002536822],"domain_scores_gemma":[0.9960701,0.0004597329,0.000144501,0.0002554846,0.0003202326,0.002749841],"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":[0.001284691,0.06864721,0.02755408,0.0003037417,0.00003068361,0.001175778,0.01438767,0.002000896,0.05239063,0.007970852,0.05769967,0.7665541],"study_design_scores_gemma":[0.002837935,0.05082431,0.1755801,0.0009267713,0.0002329051,0.002860004,0.02653584,0.03198769,0.09565809,0.03588907,0.5762602,0.0004071135],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9090638,0.0001947775,0.03216138,0.003193609,0.0002904108,0.001536492,0.0002765475,0.00133005,0.05195293],"genre_scores_gemma":[0.8602141,0.000353856,0.09141709,0.002330844,0.0002159787,0.0008937136,0.0006813459,0.0001133081,0.04377975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01536096,"threshold_uncertainty_score":0.05138749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02305823047036559,"score_gpt":0.2774866459548342,"score_spread":0.2544284154844686,"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."}}