{"id":"W1834631443","doi":"10.24908/pceea.v0i0.3696","title":"IMPROVING PROBLEM SOLVING AND SOLUTION DESIGN SKILLS USING PROBLEM FLOW COACHES IN CAPSTONE PROJECTS","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Coaching Methods and Impact","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"University of Windsor","keywords":"Acronym; TRIZ; Capstone; Context (archaeology); Computer science; Problem-based learning; Coaching; Metacognition; Management science; Mathematics education; Cognition; Artificial intelligence; Engineering; Psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.004810245,0.0009894756,0.00053598,0.002837779,0.001638406,0.001958513,0.001416766,0.001217939,0.003192061],"category_scores_gemma":[0.01784336,0.00058387,0.0003349328,0.001091097,0.001007607,0.00150221,0.003404126,0.001710542,0.0009243899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008958631,"about_ca_system_score_gemma":0.002823797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001030447,"about_ca_topic_score_gemma":0.002079111,"domain_scores_codex":[0.996034,0.001933774,0.0001483035,0.0006626122,0.0007883008,0.000433033],"domain_scores_gemma":[0.991177,0.004649586,0.0006667917,0.000767665,0.001178648,0.001560431],"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":[0.0007819631,0.03359521,0.01560419,0.000693393,0.00006148065,0.0002784734,0.01740412,0.006248055,0.01428721,0.003506558,0.004510932,0.9030284],"study_design_scores_gemma":[0.004184864,0.05539878,0.2808743,0.004852422,0.0008055544,0.003977568,0.06741893,0.1798486,0.1686195,0.05413169,0.1790159,0.000871865],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9183869,0.0004105419,0.06525738,0.0007815352,0.0001148036,0.001792401,0.00002897365,0.0006219881,0.01260543],"genre_scores_gemma":[0.8517137,0.0008515693,0.1344581,0.0003114384,0.0000526111,0.001299475,0.000143586,0.00008838278,0.01108114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004810245,"threshold_uncertainty_score":0.02543932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03520622509513942,"score_gpt":0.2639704782613631,"score_spread":0.2287642531662237,"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."}}