{"id":"W3175731219","doi":"10.24908/pceea.vi0.14921","title":"CHARACTERIZING PATTERNS IN STUDENT ENGAGEMENT IN A TEAM-BASED AND PROJECT-CENTRIC COURSE","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Student engagement; Asynchronous communication; Psychology; Tracking (education); Cognition; Virtual learning environment; Course (navigation); Computer science; Mathematics education; Pedagogy; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000532643,0.00008416167,0.0001144761,0.0003066926,0.00005327726,0.0001508268,0.0002355642,0.00005509687,0.000001902938],"category_scores_gemma":[0.0004331022,0.00008856477,0.00002749368,0.0007471069,0.00000365946,0.0001576844,0.00004460227,0.0002327254,7.328294e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001076408,"about_ca_system_score_gemma":0.001115887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002713206,"about_ca_topic_score_gemma":0.006390505,"domain_scores_codex":[0.9991668,0.00001539479,0.0002026045,0.0001838033,0.0002162318,0.0002151295],"domain_scores_gemma":[0.9994663,0.00003817667,0.0001588681,0.00007893629,0.0001873458,0.0000703558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[2.500993e-7,0.0001141729,0.9929244,0.00009307265,0.00001171896,5.193932e-7,0.002266681,0.0005244658,0.0004452442,0.002244651,0.0003022373,0.001072572],"study_design_scores_gemma":[0.0002237533,0.000007651425,0.9525577,0.0002267117,0.000008580716,0.000001257477,0.0005194498,0.04349556,0.0004399008,0.00003188836,0.002365774,0.0001217608],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853902,0.0000683027,0.00005985904,0.01362504,0.0003624541,0.0001870694,0.000004126232,0.00002667009,0.0002762844],"genre_scores_gemma":[0.9981779,0.00001313117,0.001174024,0.0003051509,0.00004297953,0.00002130932,0.00000363305,0.00000826513,0.0002535658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0429711,"threshold_uncertainty_score":0.4101575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007876331231375462,"score_gpt":0.2473401785103519,"score_spread":0.2394638472789764,"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."}}