{"id":"W4404604311","doi":"10.1007/978-3-031-69449-3_5","title":"Video Analytics: When and How Do Students Use Asynchronous Videos? Using the COVID-19 Experience to Reimagine Teaching","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Asynchronous communication; Analytics; Coronavirus disease 2019 (COVID-19); Computer science; Multimedia; Data science; Telecommunications; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001263586,0.0003828829,0.0002151666,0.0007068605,0.001237033,0.007097824,0.0009049148,0.0007730563,0.01741079],"category_scores_gemma":[0.005125611,0.0001686278,0.0002336989,0.0008146476,0.0008540981,0.005988718,0.002544761,0.002318933,0.004131397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001801104,"about_ca_system_score_gemma":0.002222529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003884941,"about_ca_topic_score_gemma":0.01071428,"domain_scores_codex":[0.9993392,0.0002059262,0.00001732211,0.000085654,0.0002176226,0.0001342887],"domain_scores_gemma":[0.9973928,0.001266101,0.0001468013,0.0001002552,0.000357863,0.0007361072],"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":[0.0001778846,0.0005621383,0.007444567,0.0002927029,0.00001013666,0.0002156277,0.02599539,0.0002147559,0.003363191,0.03789433,0.1203686,0.8034607],"study_design_scores_gemma":[0.0000650145,0.0004697857,0.01613525,0.00105786,0.00003969268,0.0006106516,0.07515061,0.002811665,0.006839199,0.03951961,0.857219,0.00008162807],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2122818,0.007788878,0.04455904,0.02790323,0.002985595,0.0002048254,0.0006243257,0.001558229,0.702094],"genre_scores_gemma":[0.6775142,0.008000925,0.02648775,0.003106252,0.0007061124,0.0002518346,0.001183579,0.0007245943,0.2820247],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01741079,"threshold_uncertainty_score":0.05824488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05245047446510051,"score_gpt":0.3422771928860822,"score_spread":0.2898267184209816,"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."}}