{"id":"W3209067337","doi":"10.24908/pceea.vi0.10770","title":"EFFECTIVENESS OF STUDENT LEARNING IN AN AEROSPACE ENGINEERING CAPSTONE PROJECT: INVESTIGATION OF ASSESSMENT METHODS","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Capstone; Process (computing); Project-based learning; Aerospace; Engineering education; Computer science; Engineering management; Artificial intelligence; Engineering; Systems engineering; Mathematics education; 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":[0.02949097,0.0008276709,0.0008945419,0.003005729,0.0006268728,0.002191108,0.001540033,0.001065207,0.001197403],"category_scores_gemma":[0.1288243,0.0003542313,0.0006727307,0.001540483,0.0007517629,0.001848489,0.002048997,0.001007241,0.0005511658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001173569,"about_ca_system_score_gemma":0.0008877926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00102443,"about_ca_topic_score_gemma":0.001133509,"domain_scores_codex":[0.9691732,0.01690922,0.003485772,0.002630229,0.006971996,0.0008294936],"domain_scores_gemma":[0.8064418,0.1388815,0.01371844,0.007419023,0.02753922,0.005999983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004872403,0.0138897,0.517135,0.0006289007,0.0003965043,0.0002190676,0.02378589,0.003966684,0.01007786,0.0005371968,0.0008839852,0.4236069],"study_design_scores_gemma":[0.0004362179,0.02708571,0.8746365,0.0002459959,0.0003336203,0.0003967541,0.01295716,0.04620934,0.03202273,0.000845958,0.004517019,0.0003130171],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921075,0.00008551007,0.005133372,0.00005020343,0.00001762227,0.0004343626,0.00005972213,0.00007447346,0.002037345],"genre_scores_gemma":[0.9898056,0.00007506238,0.008075029,0.00002911452,0.00001318597,0.0006757126,0.000110859,0.00002088761,0.001194529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02949097,"threshold_uncertainty_score":0.155965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008440717913354283,"score_gpt":0.2915031436730824,"score_spread":0.2830624257597282,"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."}}