{"id":"W3183025734","doi":"10.24908/pceea.vi0.14834","title":"HANDS-ON EDUCATION WITHOUT THE HANDS-ON? AN APPROACH TO ONLINE DELIVERY OF A SENIOR LAB COURSE IN CHEMICAL ENGINEERING WHILE MAINTAINING KEY LEARNING OUTCOMES","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Experiential learning; Virtual learning environment; Key (lock); Work (physics); Medical education; Course (navigation); Coronavirus disease 2019 (COVID-19); Computer science; Engineering management; Engineering; Multimedia; Mathematics education; Psychology; Medicine; Mechanical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002479041,0.0006103896,0.0003354708,0.0003700134,0.001463955,0.002412378,0.001988782,0.001459811,0.01729174],"category_scores_gemma":[0.004249138,0.0003510329,0.0004996634,0.0002884293,0.001026043,0.001727068,0.003123617,0.001763675,0.004738822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006910412,"about_ca_system_score_gemma":0.001929225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006858213,"about_ca_topic_score_gemma":0.001959656,"domain_scores_codex":[0.9980581,0.000812892,0.0000737677,0.0003346168,0.0003801912,0.0003403793],"domain_scores_gemma":[0.9960527,0.0009188242,0.0003701402,0.0006777302,0.0003057992,0.001674826],"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":[0.001040729,0.03462269,0.00794374,0.0005409991,0.00003230697,0.0006817956,0.006681891,0.001803446,0.04634877,0.003790485,0.01336497,0.8831481],"study_design_scores_gemma":[0.005641406,0.1176495,0.1997205,0.001863537,0.0004015684,0.01368036,0.04021224,0.04958845,0.1436173,0.03754546,0.3888429,0.001236836],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7929918,0.0002269509,0.1277382,0.004594035,0.0004570429,0.002618089,0.00014357,0.003327175,0.06790321],"genre_scores_gemma":[0.7714293,0.0002043605,0.1973396,0.002727506,0.0001877717,0.001108763,0.0001183551,0.0001688213,0.02671543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01729174,"threshold_uncertainty_score":0.05784667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006674695534095391,"score_gpt":0.2111845483917919,"score_spread":0.2045098528576965,"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."}}