{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005005013,0.0002699945,0.0003197905,0.0003977192,0.00008664046,0.00008613201,0.0003501954,0.0002206473,0.00001075992],"category_scores_gemma":[0.0009989608,0.0002415294,0.00009841889,0.001018715,0.00001734321,0.0001769095,0.00003068353,0.0006085593,0.000004366957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001500356,"about_ca_system_score_gemma":0.0007326885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009611509,"about_ca_topic_score_gemma":0.0004656994,"domain_scores_codex":[0.9983986,0.00001491577,0.000446529,0.0002860488,0.0004336703,0.0004202569],"domain_scores_gemma":[0.9988301,0.000112891,0.0001483425,0.0002024195,0.0004111022,0.0002951871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00003442643,0.001990448,0.1818226,0.002073457,0.00050627,5.676839e-7,0.01600045,0.7215637,0.03664343,0.01084995,0.01307095,0.01544379],"study_design_scores_gemma":[0.001783488,0.0002404678,0.6318059,0.002367637,0.0002336826,0.00002549047,0.006056165,0.3101118,0.03175237,0.0001176703,0.01389061,0.001614712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956347,0.00006923726,0.00005427373,0.001788491,0.001038083,0.0003201677,0.00001795198,0.0001275121,0.0009495391],"genre_scores_gemma":[0.9968323,0.00001236006,0.001916127,0.0002484302,0.000283559,0.0001229215,0.00006970741,0.00007074337,0.0004439187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4499833,"threshold_uncertainty_score":0.9849282,"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."}}