{"id":"W2122670017","doi":"10.24908/pceea.v0i0.4050","title":"IMPROVING THE SPATIAL VISUALIZATION SKILLS OF FIRST YEAR ENGINEERING STUDENTS","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Visualization; Grading (engineering); Curriculum; Computer science; Process (computing); Mathematics education; Graphics; Software engineering; Engineering; Psychology; Computer graphics (images); Pedagogy; Artificial intelligence; Civil engineering","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":[0.00137306,0.0008421996,0.0004635615,0.001335232,0.0005926489,0.002355826,0.0009587065,0.0006476994,0.008459411],"category_scores_gemma":[0.007234626,0.0002486287,0.000308694,0.0006342838,0.0004176029,0.000687301,0.00126745,0.0009708049,0.002445943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001134474,"about_ca_system_score_gemma":0.002616727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007798226,"about_ca_topic_score_gemma":0.01720527,"domain_scores_codex":[0.9991924,0.00009330307,0.00003832814,0.0001032998,0.0003414099,0.0002312762],"domain_scores_gemma":[0.9932432,0.0006781217,0.0008535284,0.00032521,0.002358772,0.002541234],"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":[0.0004057823,0.004996179,0.1857827,0.00059224,0.00003729328,0.0003348996,0.005782885,0.002677225,0.06029545,0.0007159997,0.02364465,0.7147346],"study_design_scores_gemma":[0.0001223835,0.006432293,0.8865229,0.0002729977,0.00006402573,0.0005566983,0.003576827,0.003417433,0.06824838,0.0009479637,0.02970963,0.000128455],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901855,0.0003087327,0.00206987,0.0005170157,0.00005952639,0.0001018538,0.0001968396,0.0005019659,0.006058758],"genre_scores_gemma":[0.9807869,0.000414856,0.005761436,0.0001764983,0.00002213942,0.00005098708,0.0003465037,0.0000584993,0.01238218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008459411,"threshold_uncertainty_score":0.02829957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004960907837951632,"score_gpt":0.1933857135095319,"score_spread":0.1884248056715803,"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."}}