{"id":"W7133026283","doi":"","title":"An Instructional Structure to Enhance Learning in Undergraduate Laboratories","year":2020,"lang":"","type":"dissertation","venue":"TSpace","topic":"Engineering Education and Pedagogy","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Experiential learning; Instructional design; Engineering education; Knowledge retention; Educational technology; Value (mathematics); Learning sciences; Intervention (counseling)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007124777,0.0005423055,0.0004691739,0.0003718729,0.0001128348,0.000156735,0.0002906265,0.000420399,0.0007055095],"category_scores_gemma":[0.000227413,0.00071238,0.00005297484,0.001335301,0.00001804829,0.0002265651,0.00001776938,0.001436234,0.0001841331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002655339,"about_ca_system_score_gemma":0.0004206635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001923384,"about_ca_topic_score_gemma":0.001337485,"domain_scores_codex":[0.998119,0.00008093699,0.000433648,0.0006054541,0.0003150408,0.0004459166],"domain_scores_gemma":[0.9989957,0.00007006548,0.0001045594,0.0002936333,0.0001636717,0.0003724307],"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":[0.00008938886,0.00003585178,0.001717619,0.001012399,0.00008437587,0.00001010851,0.06454615,0.8365777,0.08189457,0.00702244,0.0005494652,0.00645991],"study_design_scores_gemma":[0.001790078,0.001229742,0.129801,0.002494249,0.0002421556,0.00004229881,0.07866574,0.1090831,0.1672671,0.002308333,0.4989651,0.008111031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846514,0.0006505577,0.002779164,0.003915904,0.00514119,0.00037211,0.00003603524,0.0003847363,0.002068833],"genre_scores_gemma":[0.9885333,0.0001884915,0.00532583,0.00009063024,0.0007299765,0.00003737042,0.001090093,0.0001563921,0.003847931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7274946,"threshold_uncertainty_score":0.9995328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00852310608571758,"score_gpt":0.3431730674462528,"score_spread":0.3346499613605352,"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."}}