{"id":"W2031108835","doi":"10.1007/s10798-010-9151-3","title":"Learning to think spatially in an undergraduate interdisciplinary computational design context: a case study","year":2011,"lang":"en","type":"article","venue":"International Journal of Technology and Design Education","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Context (archaeology); Computational thinking; Spatial intelligence; Computer science; Science education; Mathematics education; Scholarship; Educational technology; Process (computing); Psychology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.004374215,0.001023845,0.0006848214,0.001347795,0.009050012,0.004399812,0.002957498,0.005363052,0.004169272],"category_scores_gemma":[0.01260026,0.0006764547,0.0006705429,0.001071446,0.004729534,0.003226362,0.004475388,0.004143551,0.0009653414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003078105,"about_ca_system_score_gemma":0.00386053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009049707,"about_ca_topic_score_gemma":0.03293112,"domain_scores_codex":[0.9966276,0.001857895,0.0001051238,0.0003215343,0.0004541833,0.0006336257],"domain_scores_gemma":[0.9896643,0.00534902,0.0005199656,0.0007516893,0.0008535539,0.002861593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006628676,0.02501819,0.04067077,0.0004635395,0.00006040707,0.02922523,0.7884055,0.004335107,0.004815534,0.01557713,0.00808949,0.0826762],"study_design_scores_gemma":[0.0003014758,0.003975306,0.01501173,0.0003019692,0.0000571786,0.01340842,0.886382,0.01141117,0.005052261,0.01032006,0.05356551,0.0002128992],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900463,0.00007653161,0.002705474,0.001145058,0.00002157301,0.0001378873,0.00003411651,0.0000319822,0.005800994],"genre_scores_gemma":[0.9901673,0.0002040507,0.00463195,0.0002616182,0.00001092799,0.00007803742,0.00003838337,0.00002230513,0.004585351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009050012,"threshold_uncertainty_score":0.0231334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03362972504542754,"score_gpt":0.3177053683418302,"score_spread":0.2840756432964027,"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."}}