{"id":"W2886970569","doi":"10.24908/pceea.v0i0.10263","title":"SHIFTING RESPONSIBILITIES: USING PEER ASSESSMENT IN SENIOR, ENGINEERING DESIGN TO PROVIDE EFFECTIVE SUPPORT AND MEANINGFUL FEEDBACK DESPITE LARGE CLASS SIZE","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Pedagogy","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Rubric; Grading (engineering); Peer feedback; Peer assessment; Class (philosophy); Computer science; Peer review; Peer learning; Technical peer review; Mathematics education; Medical education; Psychology; Engineering; Civil engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.03737642,0.0008069571,0.0007230579,0.001537957,0.002900018,0.004667056,0.002588117,0.001004568,0.004284541],"category_scores_gemma":[0.09110979,0.000557061,0.0005135463,0.0006394876,0.001024032,0.003221764,0.006116908,0.001926703,0.002226168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001373637,"about_ca_system_score_gemma":0.005166993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001269508,"about_ca_topic_score_gemma":0.002748684,"domain_scores_codex":[0.9550269,0.03271918,0.001396032,0.002536752,0.006780817,0.001540292],"domain_scores_gemma":[0.943761,0.02389935,0.004589611,0.005363413,0.01577668,0.006609891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008313883,0.006457383,0.02193919,0.0005026056,0.00006417921,0.0005662678,0.03824048,0.001553421,0.00999583,0.001239401,0.01353427,0.9050756],"study_design_scores_gemma":[0.003387208,0.05153444,0.1772176,0.003730033,0.000606638,0.003971645,0.2010798,0.1298996,0.08060571,0.02582451,0.3206677,0.001475083],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8217185,0.0003898525,0.1237811,0.004132785,0.0008116483,0.004984958,0.00007796971,0.002629843,0.04147352],"genre_scores_gemma":[0.8602459,0.0002247845,0.1287781,0.0006713278,0.0001825884,0.002220756,0.00007984903,0.0001867099,0.007409922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03737642,"threshold_uncertainty_score":0.1976678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009472779531638671,"score_gpt":0.2582270112857658,"score_spread":0.2487542317541271,"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."}}