{"id":"W4386800417","doi":"10.23977/aetp.2023.070920","title":"University Mixed Teaching Modes: Personalized Online and Offline Integration","year":2023,"lang":"en","type":"article","venue":"Advances in Educational Technology and Psychology","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blended learning; Implementation; Context (archaeology); Computer science; Personalized learning; Online and offline; Multimedia; Resource (disambiguation); Teaching method; Knowledge management; Mathematics education; Educational technology; Open learning; Psychology; Cooperative learning; Software engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002230172,0.0003848024,0.0003501078,0.0008671684,0.0009243469,0.007134459,0.00134334,0.0006747018,0.01178055],"category_scores_gemma":[0.005849803,0.0002920086,0.0004012199,0.0009470567,0.0008936275,0.004777294,0.005863818,0.001033963,0.003810334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008012753,"about_ca_system_score_gemma":0.001224217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004702519,"about_ca_topic_score_gemma":0.000912349,"domain_scores_codex":[0.9978833,0.0009476034,0.0001098826,0.0002823634,0.0005011222,0.0002756615],"domain_scores_gemma":[0.9960647,0.00113433,0.0003311784,0.001218837,0.000412436,0.0008385277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005177619,0.001520329,0.02396671,0.0003538322,0.00006361613,0.0004108093,0.009901152,0.003655891,0.007132569,0.05618463,0.00492876,0.8913639],"study_design_scores_gemma":[0.0004429559,0.004699925,0.06690039,0.001735712,0.0003941037,0.005074117,0.03985718,0.09602397,0.04093552,0.2582153,0.4851796,0.0005412171],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4753138,0.00101768,0.3910189,0.001673254,0.0002500287,0.0006625433,0.0002413442,0.002166252,0.1276562],"genre_scores_gemma":[0.9129543,0.0003484176,0.06601101,0.000418968,0.00009443179,0.0003874385,0.000124926,0.0002305697,0.01942973],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01178055,"threshold_uncertainty_score":0.03940988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01579884503941444,"score_gpt":0.3566727312233503,"score_spread":0.3408738861839359,"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."}}