{"id":"W4251497521","doi":"10.33423/jabe.v23i3.4351","title":"Applying Problem Based Learning to Improve Student Engagement in an Engineering Economics Course","year":2021,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Innovations in Educational Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Kern Family Foundation","keywords":"Attendance; Course (navigation); Class (philosophy); Student engagement; Mathematics education; Economics education; Computer science; Psychology; Economics; Engineering; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002476925,0.00008697386,0.0002029273,0.0001698031,0.0002023519,0.0001936846,0.0001384285,0.0000543508,0.00001987922],"category_scores_gemma":[0.00009844251,0.0001018662,0.00002113657,0.0002511606,0.00002306269,0.0002412684,0.00004301987,0.0002526416,0.000001229181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003061347,"about_ca_system_score_gemma":0.0006685666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001862157,"about_ca_topic_score_gemma":0.0001161621,"domain_scores_codex":[0.9991321,0.00004300362,0.0004365305,0.0001501698,0.00006223957,0.0001759351],"domain_scores_gemma":[0.999205,0.0001362894,0.0002431778,0.0000812901,0.0002504127,0.00008384016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003947485,0.0002551544,0.008918196,0.00003691793,0.00003603641,0.000003483665,0.007874929,0.8326983,0.001118795,0.07176606,0.00001726559,0.07723542],"study_design_scores_gemma":[0.005079722,0.0002504442,0.2628805,0.0003299661,0.0001780885,0.00002238362,0.1594216,0.03129887,0.003416154,0.01626285,0.5189166,0.001942841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941897,0.00002293661,0.002734798,0.001089061,0.000634212,0.0002338095,0.000001168774,0.000006137843,0.00108818],"genre_scores_gemma":[0.8638909,0.0001087932,0.1350253,0.0003033944,0.0005751235,0.00005804242,0.000002691115,0.00001534952,0.00002039857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8013994,"threshold_uncertainty_score":0.4153981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02750096313190479,"score_gpt":0.329093251839771,"score_spread":0.3015922887078661,"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."}}